Early detection of pancreatic cancer
Open accessAbstract
Pancreatic ductal adenocarcinoma is most frequently detected at an advanced stage. Such late detection restricts treatment options and contributes to a dismal 5-year survival rate of 3–15%. Pancreatic ductal adenocarcinoma is relatively uncommon and screening of the asymptomatic adult population is not feasible or recommended with current modalities. However, screening of individuals in high-risk groups is recommended. Here, we review groups at high risk for pancreatic ductal adenocarcinoma, including individuals with inherited predisposition and patients with pancreatic cystic lesions. We discuss studies aimed at finding ways of identifying pancreatic ductal adenocarcinoma in high-risk groups, such as among individuals with new-onset diabetes mellitus and people attending primary and secondary care practices with symptoms that suggest this cancer. We review early detection biomarkers, explore the potential of using social media for detection, appraise prediction models developed using electronic health records and research data, and examine the application of artificial intelligence to medical imaging for the purposes of early detection.
Verified 2026-10-06 · 1 reference not checked yet
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 155 cited sources checked · 0 supported · 0 flagged
- Premisecitation
Incidentally diagnosed pancreatic ductal adenocarcinoma is associated with longer median survival than pancreatic ductal adenocarcinoma diagnosed when patients have symptoms.
“Similarly, incidentally diagnosed pancreatic ductal adenocarcinoma (ie, discovered serendipitously while screening or checking for other diseases) is associated with longer median survival than pancreatic ductal adenocarcinoma that is diagnosed when patients have symptoms.8”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Poruk KE, Firpo MA, Adler DG, Mulvihill SJ. Screening for pancreatic cancer: why, how, and who? Ann Surg 2013; 257: 17– 26. 22895395 PMC4113008 source
Not checked in the free run.
- Premisecitation
Patients diagnosed with stage 1 pancreatic ductal adenocarcinoma survive longer than patients diagnosed at more advanced stages.
“Patients diagnosed with stage 1 disease experience longer survival times than patients diagnosed with disease at more advanced stages.8”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Poruk KE, Firpo MA, Adler DG, Mulvihill SJ. Screening for pancreatic cancer: why, how, and who? Ann Surg 2013; 257: 17– 26. 22895395 PMC4113008 source
Not checked in the free run.
- Premisecitation
Up to 85% of patients with pancreatic ductal adenocarcinoma have cancers that are not surgically resectable when identified.
“Unfortunately, up to 85% of patients have cancers that are not surgically resectable when identified, and over half of patients in the UK are diagnosed following a non-specific disease course leading to an emergency hospital admission.10–13”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [10] Keane MG, Horsfall L, Rait G, Pereira SP. A case-control study comparing the incidence of early symptoms in pancreatic and biliary tract cancer. BMJ Open 2014; 4: e005720. PMC4244441 25410605 source
Not checked in the free run.
- cites [11] Zhou Y, Abel GA, Hamilton W, Diagnosis of cancer as an emergency: a critical review of current evidence. Nat Rev Clin Oncol 2017; 14: 45– 56. 27725680 source
Not checked in the free run.
- cites [12] Hippisley-Cox J, Coupland C. Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012; 62: e38– 45. 22520674 PMC3252538 source
Not checked in the free run.
- cites [13] Stapley S, Peters TJ, Neal RD, Rose PW, Walter FM, Hamilton W. The risk of pancreatic cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 2012; 106: 1940– 44. 22617126 PMC3388562 source
Not checked in the free run.
- Premisecitation
The 5-year survival rate for pancreatic ductal adenocarcinoma is 3-15%.
“a dismal 5-year survival rate of 3–15%”
- Also stated in: § Introduction · plain
“the 5-year survival rates remain as low as 3–15%.3,4”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68: 394– 424. 30207593
Not checked in the free run.
- cites [4] Arnold M, Rutherford MJ, Bardot A, Progress in cancer survival, mortality, and incidence in seven high-income countries 1995–2014 (ICBP SURVMARK-2): a population-based study. Lancet Oncol 2019; 20: 1493– 505. 31521509 PMC6838671 source
Not checked in the free run.
- Also stated in: § Introduction · plain
- Premisecitation
Over half of patients in the UK are diagnosed with pancreatic ductal adenocarcinoma after a non-specific disease course leading to emergency hospital admission.
“over half of patients in the UK are diagnosed following a non-specific disease course leading to an emergency hospital admission.10–13”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [10] Keane MG, Horsfall L, Rait G, Pereira SP. A case-control study comparing the incidence of early symptoms in pancreatic and biliary tract cancer. BMJ Open 2014; 4: e005720. PMC4244441 25410605 source
Not checked in the free run.
- cites [11] Zhou Y, Abel GA, Hamilton W, Diagnosis of cancer as an emergency: a critical review of current evidence. Nat Rev Clin Oncol 2017; 14: 45– 56. 27725680 source
Not checked in the free run.
- cites [12] Hippisley-Cox J, Coupland C. Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012; 62: e38– 45. 22520674 PMC3252538 source
Not checked in the free run.
- cites [13] Stapley S, Peters TJ, Neal RD, Rose PW, Walter FM, Hamilton W. The risk of pancreatic cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 2012; 106: 1940– 44. 22617126 PMC3388562 source
Not checked in the free run.
- Premisecitation
Survival rates are substantially better for patients diagnosed at an operable rather than an inoperable stage of pancreatic ductal adenocarcinoma.
“Survival rates are also substantially better for patients diagnosed at an operable rather than an inoperable stage.9”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Neoptolemos JP, Kleeff J, Michl P, Costello E, Greenhalf W, Palmer DH. Therapeutic developments in pancreatic cancer: current and future perspectives. Nat Rev Gastroenterol Hepatol 2018; 15: 333– 48. 29717230 source
Not checked in the free run.
- Premisecitation
The spectrum of BRCA2 mutations associated with HBOC seems similar in families affected by HBOC whether or not they have an increased incidence of pancreatic ductal adenocarcinoma.
“This spectrum seems to be similar in families affected by HBOC, whether or not they have an increased incidence of pancreatic ductal adenocarcinoma.34”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Rebbeck TR, Friebel TM, Friedman E, Mutational spectrum in a worldwide study of 29 700 families with BRCA1 or BRCA2 mutations. Hum Mutat 2018; 39: 593– 620. 29446198 PMC5903938
Not checked in the free run.
- Interpretationreasoning
Because pancreatic ductal adenocarcinoma is uncommon, screening the asymptomatic adult population is not feasible.
“The low disease prevalence makes screening of the asymptomatic adult population unfeasible.”
Quote in the paperSubstantial claim - Premisecitation
When the causative mutation is known, it segregates with pancreatic ductal adenocarcinoma.
“When the causative mutation is known,26 it segregates with the disease.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Hahn SA, Greenhalf B, Ellis I, BRCA2 germline mutations in familial pancreatic carcinoma. J Natl Cancer Inst 2003; 95: 214– 21. 12569143 source
Not checked in the free run.
- Premisecitation
Up to 78% of individuals with branch duct intraductal papillary mucinous neoplasms who undergo surgical resection do not have high-grade dysplasia or pancreatic ductal adenocarcinoma and did not require surgery in hindsight.
“up to 78% of individuals with branch duct intraductal papillary mucinous neoplasms that undergo surgical resection do not have high-grade dysplasia or pancreatic ductal adenocarcinoma and in hindsight did not require surgery.40”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Sahora K, Mino-Kenudson M, Brugge W, Branch duct intraductal papillary mucinous neoplasms: does cyst size change the tip of the scale? A critical analysis of the revised international consensus guidelines in a large single-institutional series. Ann Surg 2013; 258: 466– 75. 24022439 source
Not checked in the free run.
- Premisecitation
Pancreatic cysts are found in approximately 8% of individuals older than 70 years.
“Pancreatic cysts are found in approximately 8% of individuals older than 70 years.38”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Lee KS, Sekhar A, Rofsky NM, Pedrosa I. Prevalence of incidental pancreatic cysts in the adult population on MR imaging. Am J Gastroenterol 2010; 105: 2079– 84. 20354507 source
Not checked in the free run.
- Interpretationcitation
The absence of a family history in individuals carrying the same specific mutations indicates that these mutations are context-specific.
“However, the absence of a family history in individuals with the same specific mutations indicates that these mutations are context-specific.29”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Hu C, Hart SN, Polley EC, Association between inherited germline mutations in cancer predisposition genes and risk of pancreatic cancer. JAMA 2018; 319: 2401– 09. 29922827 PMC6092184 source
Not checked in the free run.
- Premisecitation
Families with a strong history of pancreatic ductal adenocarcinoma mostly do not have mutations in the genes known to be associated with the disease.
“families with a strong history of pancreatic ductal adenocarcinoma mostly do not have mutations in the genes known to be associated with the disease.26,27,29,30”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [26] Hahn SA, Greenhalf B, Ellis I, BRCA2 germline mutations in familial pancreatic carcinoma. J Natl Cancer Inst 2003; 95: 214– 21. 12569143 source
Not checked in the free run.
- cites [27] Slater EP, Langer P, Niemczyk E, PALB2 mutations in European familial pancreatic cancer families. Clin Genet 2010; 78: 490– 94. 20412113 source
Not checked in the free run.
- cites [29] Hu C, Hart SN, Polley EC, Association between inherited germline mutations in cancer predisposition genes and risk of pancreatic cancer. JAMA 2018; 319: 2401– 09. 29922827 PMC6092184 source
Not checked in the free run.
- Premisecitation
Existing diagnostic methods for pancreatic ductal adenocarcinoma would produce unacceptably high false-positive rates if used for population screening.
“Existing diagnostic methods would incur unacceptably high rates of false-positive findings,16”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Hart PA, Chari ST. Is screening for pancreatic cancer in high-risk individuals one step closer or a fool’s errand? Clin Gastroenterol Hepatol 2019; 17: 36– 38. 30268560 PMC6557281 source
Not checked in the free run.
- Premisecitation
Almost two-thirds of intraductal papillary mucinous neoplasms and mucinous cystic neoplasms harbour a KRAS or GNAS mutation in the cyst fluid.
“Overall, almost two-thirds of intraductal papillary mucinous neoplasms and mucinous cystic neoplasms harbour a mutation in KRAS or GNAS in the cyst fluid.41”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Springer S, Masica DL, Dal Molin M, A multimodality test to guide the management of patients with a pancreatic cyst. Sci Transl Med 2019; 11: eaav4772. 31316009 PMC7859881 source
Not checked in the free run.
- Premisecitation
Registries of high-risk families indicate a roughly 50% lifetime risk of pancreatic ductal adenocarcinoma, regardless of whether a causative mutation is known.
“Registries of such high-risk families indicate a roughly 50% lifetime risk, regardless of whether a causative mutation is known,31”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Greenhalf W, Malats N, Nilsson M, Bartsch D, Neoptolemos J. International registries of families at high risk of pancreatic cancer. Pancreatology 2008; 8: 558– 65. 18818508 source
Not checked in the free run.
- Premisecitation
Germline mutations in specific genes are associated with developing pancreatic ductal adenocarcinoma.
“germline mutations in specific genes are associated with developing the condition.26–28”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [26] Hahn SA, Greenhalf B, Ellis I, BRCA2 germline mutations in familial pancreatic carcinoma. J Natl Cancer Inst 2003; 95: 214– 21. 12569143 source
Not checked in the free run.
- cites [27] Slater EP, Langer P, Niemczyk E, PALB2 mutations in European familial pancreatic cancer families. Clin Genet 2010; 78: 490– 94. 20412113 source
Not checked in the free run.
- cites [28] Mukherjee B, Delancey JO, Raskin L, Risk of non-melanoma cancers in first-degree relatives of CDKN2A mutation carriers. J Natl Cancer Inst 2012; 104: 953– 56. 22534780 PMC3379723 source
Not checked in the free run.
- Premisecitation
Mutations associated with pancreatic ductal adenocarcinoma are almost as frequent in sporadic disease as in individuals with a family history.
“the mutations are almost as frequent in sporadic disease as in individuals with a family history.29”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Hu C, Hart SN, Polley EC, Association between inherited germline mutations in cancer predisposition genes and risk of pancreatic cancer. JAMA 2018; 319: 2401– 09. 29922827 PMC6092184 source
Not checked in the free run.
- Premisecitation
A family history of pancreatic ductal adenocarcinoma is a risk factor for developing the disease.
“A family history of the disease is a risk factor for development of pancreatic ductal adenocarcinoma,24,25”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [24] Fernandez E, La Vecchia C, D’Avanzo B, Negri E, Franceschi S. Family history and the risk of liver, gallbladder, and pancreatic cancer. Cancer Epidemiol Biomarkers Prev 1994; 3: 209– 12. 8019368 source
Not checked in the free run.
- cites [25] Hamada T, Yuan C, Yurgelun MB, Family history of cancer, Ashkenazi Jewish ancestry, and pancreatic cancer risk. Br J Cancer 2019; 120: 848– 54. 30867564 PMC6474278 source
Not checked in the free run.
- Interpretationreasoning
Identification of mucinous cystic lesions offers the potential for early detection of pancreatic ductal adenocarcinoma.
“Identification of mucinous cystic lesions therefore offers the potential for early detection of pancreatic ductal adenocarcinoma.”
Quote in the paperSubstantial claim- Rests on an assumption: Not all pancreatic cystic lesions are intraductal papillary mucinous neoplasms or mucinous cystic neoplasms; many have no risk of malignant transformation and do not require surveillance.
- Rests on an assumption: Most intraductal papillary mucinous neoplasms and mucinous cystic neoplasms do not progress to pancreatic ductal adenocarcinoma.
- Premisecitation
In individuals who have had type 2 diabetes for less than 1 year, the relative risk of pancreatic ductal adenocarcinoma increases to 5.4-fold.
“However, in individuals who have had type 2 diabetes for less than 1 year, the relative risk of pancreatic ductal adenocarcinoma increases to 5·4-fold,47”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Ben Q, Xu M, Ning X, Diabetes mellitus and risk of pancreatic cancer: a meta-analysis of cohort studies. Eur J Cancer 2011; 47: 1928– 37. 21458985
Not checked in the free run.
- Premisecitation
25% of patients who have a presumed mucinous cystic lesion removed are ultimately found to have a cyst with no malignant potential.
“25% of patients who have a presumed mucinous cystic lesion removed are ultimately found to have a cyst with no malignant potential,39”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Valsangkar NP, Morales-Oyarvide V, Thayer SP, 851 resected cystic tumors of the pancreas: a 33-year experience at the Massachusetts General Hospital. Surgery 2012; 152 (suppl 1): S4– 12. 22770958 PMC3806101 source
Not checked in the free run.
- Premisecitation
Preliminary studies evaluating PIK3CA, SMAD4, and TP53 mutations in cyst fluid identified almost 80% of intraductal papillary mucinous neoplasms with high-grade dysplasia or cancer.
“Preliminary studies evaluating the presence of mutations in PIK3CA, SMAD4, and TP53 in cyst fluid were promising, as they identified almost 80% of intraductal papillary mucinous neoplasms with high-grade dysplasia or cancer.43”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Singhi AD, McGrath K, Brand RE, Preoperative next-generation sequencing of pancreatic cyst fluid is highly accurate in cyst classification and detection of advanced neoplasia. Gut 2018; 67: 2131– 41. 28970292 PMC6241612 source
Not checked in the free run.
- Interpretationreasoning
For most people, the genetic risk of pancreatic ductal adenocarcinoma is probably multigenic.
“It is probable that the genetic risk is multigenic for most people;”
Quote in the paperNot a substantial claim - Premisecitation
Even in families affected by HBOC with no BRCA2 or BRCA1 mutation, the risk of pancreatic ductal adenocarcinoma is greatly elevated.
“Even in families affected by HBOC with no BRCA2 (or BRCA1) mutation, the risk of pancreatic ductal adenocarcinoma is greatly elevated.35”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Wendt C, Lindblom A, Arver B, von Wachenfeldt A, Margolin S. Tumour spectrum in non-BRCA hereditary breast cancer families in Sweden. Hered Cancer Clin Pract 2015; 13: 15. 26082817 PMC4469256 source
Not checked in the free run.
- Premisecitation
Studies have shown good sensitivity with excellent specificity for differentiating benign cysts that require no follow-up from intraductal papillary mucinous neoplasms.
“Studies have shown good sensitivity with excellent specificity for differentiating between benign cysts that require no follow-up and intraductal papillary mucinous neoplasms.44–46”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [44] Krishna SG, Hart PA, Malli A, Endoscopic ultrasound-guided confocal laser endomicroscopy increases accuracy of differentiation of pancreatic cystic lesions. Clin Gastroenterol Hepatol 2019; published online Jun 18. DOI: 10.1186/S1542-3565(19)30648-2. 31220640 source
Not checked in the free run.
- cites [45] Napoleon B, Palazzo M, Lemaistre AI, Needle-based confocal laser endomicroscopy of pancreatic cystic lesions: a prospective multicenter validation study in patients with definite diagnosis. Endoscopy 2019; 51: 825– 35. 30347425 source
Not checked in the free run.
- cites [46] Keane MG, Wehnert N, Perez-Machado M, A prospective trial of CONfocal endomicroscopy in CYSTic lesions of the pancreas: CONCYST-01. Endosc Int Open 2019; 7: E1117– 22. 31475228 PMC6715431 source
Not checked in the free run.
- Premisecitation
Substantial research points towards pancreatic ductal adenocarcinoma-induced hyperglycaemia and diabetes.
“with substantial research pointing towards pancreatic ductal adenocarcinoma-induced hyperglycaemia and diabetes.48”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Hart PA, Bellin MD, Andersen DK, Type 3c (pancreatogenic) diabetes mellitus secondary to chronic pancreatitis and pancreatic cancer. Lancet Gastroenterol Hepatol 2016; 1: 226– 37. 28404095 PMC5495015 source
Not checked in the free run.
- Premisecitation
Except for jaundice, weight loss, and new-onset diabetes, most individual risk factors or symptoms provide only a modest 1.5-fold to 3-fold increased risk of developing pancreatic ductal adenocarcinoma.
“With the exception of jaundice, weight loss, and new-onset diabetes, which indicate a considerably increased risk, most individual risk factors or symptoms (eg, dyspepsia, bloating, change in bowel habit) only provide a modest (1·5-fold to 3-fold) increased risk of developing pancreatic ductal adenocarcinoma.10,54”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Keane MG, Horsfall L, Rait G, Pereira SP. A case-control study comparing the incidence of early symptoms in pancreatic and biliary tract cancer. BMJ Open 2014; 4: e005720. PMC4244441 25410605 source
Not checked in the free run.
- cites [54] Kenner BJ, Chari ST, Cleeter DF, Go VL. Early detection of sporadic pancreatic cancer: strategic map for innovation—a white paper. Pancreas 2015; 44: 686– 92. 25938853 PMC4467583 source
Not checked in the free run.
- Premisecitation
All screening programmes for pancreatic ductal adenocarcinoma aim to detect and treat T1N0M0 cancers or high-grade dysplastic premalignant lesions.
“All screening programmes for pancreatic ductal adenocarcinoma aim to detect and treat T1N0M0 cancers or high-grade dysplastic premalignant lesions (ie, pancreatic intraepithelial neoplasia 3 or mucinous cystic tumours with high-grade dysplasia).6,54”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] Canto MI, Harinck F, Hruban RH, International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer. Gut 2013; 62: 339– 47. 23135763 PMC3585492 source
Not checked in the free run.
- cites [54] Kenner BJ, Chari ST, Cleeter DF, Go VL. Early detection of sporadic pancreatic cancer: strategic map for innovation—a white paper. Pancreas 2015; 44: 686– 92. 25938853 PMC4467583 source
Not checked in the free run.
- Premisecitation
Other common cancers have a prevalence of diabetes similar to that in people without cancer.
“This concern does not apply to other common cancers, where the prevalence of diabetes is similar to that in people without cancer.51”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Aggarwal G, Kamada P, Chari ST. Prevalence of diabetes mellitus in pancreatic cancer compared to common cancers. Pancreas 2013; 42: 198– 201. 23000893 PMC3896296 source
Not checked in the free run.
- Premisecitation
Around 80% of patients with pancreatic ductal adenocarcinoma have abnormal fasting glucose or glucose intolerance.
“When diagnosed with pancreatic ductal adenocarcinoma, around 80% of patients have abnormal fasting glucose or glucose intolerance.49,50”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [49] Permert J, Ihse I, Jorfeldt L, von Schenck H, Arnqvist HJ, Larsson J. Pancreatic cancer is associated with impaired glucose metabolism. Eur J Surg 1993; 159: 101– 07. 8098623
Not checked in the free run.
- cites [50] Pannala R, Leirness JB, Bamlet WR, Basu A, Petersen GM, Chari ST. Prevalence and clinical profile of pancreatic cancer-associated diabetes mellitus. Gastroenterology 2008; 134: 981– 87. 18395079 PMC2323514 source
Not checked in the free run.
- Interpretationreasoning
New-onset diabetes can be considered an early warning sign of pancreatic ductal adenocarcinoma.
“Thus, new-onset diabetes can be considered an early warning sign of pancreatic ductal adenocarcinoma,22”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Andersen DK, Korc M, Petersen GM, Diabetes, pancreatogenic diabetes, and pancreatic cancer. Diabetes 2017; 66: 1103– 10. 28507210 PMC5399609 source
Not checked in the free run.
- Interpretationreasoning
Synthetic biomarkers have advantages over endogenous biomarkers such as CA19-9.
“These synthetic biomarkers have advantages over endogenous biomarkers (eg, CA19–9).”
Quote in the paperNot a substantial claim - Premisecitation
Most major pancreatic ductal adenocarcinoma biomarker studies now incorporate control samples from patients with different diseases, such as chronic pancreatitis.
“Most major studies now incorporate control samples from patients with different diseases, such as chronic pancreatitis.68”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] Jenkinson C, Earl J, Ghaneh P, Biomarkers for early diagnosis of pancreatic cancer. Expert Rev Gastroenterol Hepatol 2015; 9: 305– 15. 25373768 source
Not checked in the free run.
- Premisecitation
Proof of concept for synthetic biomarkers has been shown in mouse models of early ovarian cancer using cleavable substrates activated by tumour proteases.
“Proof of concept has been shown in several settings, including early detection of ovarian cancer in mouse models through use of cleavable substrates by upregulated proteases in the tumour microenvironment,89”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [89] Kwon EJ, Dudani JS, Bhatia SN. Ultrasensitive tumour-penetrating nanosensors of protease activity. Nat Biomed Eng 2017; 1: 0054. 28970963 PMC5621765 source
Not checked in the free run.
- Premisecitation
Primary care doctors in the UK are gaining greater access to diagnostic investigations, including CT or rapid referral clinics, which enable rapid assessment of patients with concerning but non-specific symptoms.
“To address this delay, primary care doctors in the UK are gaining greater access to diagnostic investigations, including CT or rapid referral clinics (such as the newly developed multidisciplinary diagnostic centres),65 which enable the rapid assessment of patients with concerning but non-specific symptoms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] Cancer Research UK. Accelerate, Coordinate, Evaluate (ACE) programme. 2019 https://www.cancerresearchuk.org/health-professional/diagnosis/accelerate-coordinate-evaluate-ace-programme/multidisciplinary-diagnostic-centres-mdcs (accessed Sept 2, 2019).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Awareness is increasing that obstructive jaundice can lead to false-positive biomarker findings.
“Moreover, awareness that the presence of obstructive jaundice can lead to false-positive biomarker findings is increasing.69–71”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [69] Yan L, Tonack S, Smith R, Confounding effect of obstructive jaundice in the interpretation of proteomic plasma profiling data for pancreatic cancer. J Proteome Res 2009; 8: 142– 48. 19055369 source
Not checked in the free run.
- cites [70] Tonack S, Jenkinson C, Cox T, iTRAQ reveals candidate pancreatic cancer serum biomarkers: influence of obstructive jaundice on their performance. Br J Cancer 2013; 108: 1846– 53. 23579209 PMC3658525 source
Not checked in the free run.
- cites [71] Nie S, Lo A, Wu J, Glycoprotein biomarker panel for pancreatic cancer discovered by quantitative proteomics analysis. J Proteome Res 2014; 13: 1873– 84. 24571389 PMC3993962 source
Not checked in the free run.
- Premisecitation
Only 65% of patients with resectable pancreatic ductal adenocarcinoma have raised serum CA19-9.
“only 65% of patients with resectable pancreatic ductal adenocarcinoma have elevated serum levels of CA19–9,77”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [77] Goggins M Molecular markers of early pancreatic cancer. J Clin Oncol 2005; 23: 4524– 31. 16002843 source
Not checked in the free run.
- Premisecitation
A combination of CA19-9 and CEMIP gave a higher area under the ROC curve than CA19-9 alone, 0.94 versus 0.89.
“Lee and colleagues78 reported an improved area under receiver operating characteristic curve (AUC) using a combination of CA19–9 and cell migration-inducing hyaluronan binding protein (CEMIP; a protein involved in the degradation of hyaluronan) compared with using CA19–9 alone (AUC=0·94 vs 0·89).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [78] Lee HS, Jang CY, Kim SA, Combined use of CEMIP and CA 19–9 enhances diagnostic accuracy for pancreatic cancer. Sci Rep 2018; 8: 3383. 29467409 PMC5821821 source
Not checked in the free run.
- Premisecitation
Ghatnekar and colleagues developed a framework for modelling cost and quality-adjusted life-years of serum biomarker-mediated early detection of pancreatic ductal adenocarcinoma in individuals with new-onset diabetes.
“Ghatnekar and colleagues74 developed a framework for modelling cost and quality-adjusted life-years of serum biomarker-mediated early detection of pancreatic ductal adenocarcinoma in individuals with new-onset diabetes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] Ghatnekar O, Andersson R, Svensson M, Modelling the benefits of early diagnosis of pancreatic cancer using a biomarker signature. Int J Cancer 2013; 133: 2392– 97. 23649606 source
Not checked in the free run.
- Premisecitation
Proof of concept for synthetic biomarkers has been shown in humans by identifying residual cancer after surgery with a protease-activated fluorescent probe.
“and identification of residual cancer after surgery in humans through a protease-activated fluorescent probe.91”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] Whitley MJ, Cardona DM, Lazarides AL, A mouse-human phase 1 co-clinical trial of a protease-activated fluorescent probe for imaging cancer. Sci Transl Med 2016; 8: 320ra4. PMC4794335 26738797 source
Not checked in the free run.
- Interpretationreasoning
Because both true-positive and false-positive tests require further investigation, high-specificity biomarkers are required for a biomarker-assisted screening programme.
“As both true-positive and false-positive tests require further investigation, high specificity biomarkers are required.”
Quote in the paperSubstantial claim - Premisecitation
Pancreatic tumours are highly heterogeneous, both within and between individuals.
“Pancreatic tumours are highly heterogeneous, both within and between individuals.66,67”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [66] Campbell PJ, Yachida S, Mudie LJ, The patterns and dynamics of genomic instability in metastatic pancreatic cancer. Nature 2010; 467: 1109– 13. 20981101 PMC3137369 source
Not checked in the free run.
- cites [67] Yachida S, Jones S, Bozic I, Distant metastasis occurs late during the genetic evolution of pancreatic cancer. Nature 2010; 467: 1114– 17. 20981102 PMC3148940 source
Not checked in the free run.
- Interpretationreasoning
Developing synthetic biomarkers for pancreatic ductal adenocarcinoma could substantially affect early detection and other clinical uses in the future.
“Development of synthetic biomarkers for pancreatic ductal adenocarcinoma could substantially impact early detection efforts and other clinical applications in the future.”
Quote in the paperNot a substantial claim - Premisecitation
The predicted incidence of pancreatic ductal adenocarcinoma among people with new-onset diabetes after age 50 is only 1-2% over 3 years.
“although the incidence of pancreatic ductal adenocarcinoma in this group is predicted to be only 1–2% over a 3-year period.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [61] Maitra A, Sharma A, Brand RE, A prospective study to establish a new-onset diabetes cohort: from the consortium for the study of chronic pancreatitis, diabetes, and pancreatic cancer. Pancreas 2018; 47: 1244– 48. 30325864 PMC6432934 source
Not checked in the free run.
- Interpretationreasoning
Because pancreatic ductal adenocarcinoma has a low incidence, primary care doctors might see only one patient with the disease every 5 years.
“Because of the low incidence of pancreatic ductal adenocarcinoma, primary care doctors might see only one patient with the disease every 5 years.”
Quote in the paperNot a substantial claim - Premisereasoning
Markers generated through molecular progression research represent aberrant changes at the genetic, transcriptomic, metabolomic, and proteomic level that are associated with the earliest histological stages of pancreatic ductal adenocarcinoma development.
“Markers generated through this process represent aberrant changes at the genetic, transcriptomic, metabolomic, and proteomic level that are associated with the earliest histological stages of development of pancreatic ductal adenocarcinoma (table 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites table 1
Not checked in the free run.
- Premisecitation
CEMIP correctly identified 68 of 79 pancreatic ductal adenocarcinoma patients whose CA19-9 was below 37 U/mL.
“Importantly, CEMIP correctly diagnosed 68 of 79 patients with pancreatic ductal adenocarcinoma whose CA19–9 concentrations were in the normal range (below 37 U/mL).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [78] Lee HS, Jang CY, Kim SA, Combined use of CEMIP and CA 19–9 enhances diagnostic accuracy for pancreatic cancer. Sci Rep 2018; 8: 3383. 29467409 PMC5821821 source
Not checked in the free run.
- Interpretationnone given
Using samples from patients already diagnosed with pancreatic ductal adenocarcinoma in biomarker development might result in biomarkers that are indicative of symptomatic disease.
“Using samples from patients already diagnosed with pancreatic ductal adenocarcinoma in biomarker development might result in biomarkers that are indicative of symptomatic disease.”
Quote in the paperNot a substantial claim - Premisecitation
Proof of concept for synthetic biomarkers has been shown in mice by sequential activation through tumour acidity and hypoxia, enabling imaging of tumours as small as 1 mm.
“sequential activation by tumour acidity and hypoxia for ultrasensitive imaging detection of tumours as small as 1 mm in mice,90”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] Zheng X, Mao H, Huo D, Wu W, Liu B, Jiang X. Successively activatable ultrasensitive probe for imaging tumor acidity and hypoxia. Nat Biomed Eng 2017; 1: 0057. source
Not checked in the free run.
- Premisecitation
Understanding and accounting for potential confounding factors is an important component of pancreatic ductal adenocarcinoma biomarker development.
“Understanding and accounting for potential confounding factors is an important component of pancreatic ductal adenocarcinoma biomarker development.68”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [68] Jenkinson C, Earl J, Ghaneh P, Biomarkers for early diagnosis of pancreatic cancer. Expert Rev Gastroenterol Hepatol 2015; 9: 305– 15. 25373768 source
Not checked in the free run.
- Premisecitation
CA19-9 levels are elevated in blood samples collected before a diagnosis of pancreatic ductal adenocarcinoma.
“Elevated concentrations of carbohydrate antigen 19–9 (CA19–9), the only biomarker routinely used in the management of pancreatic ductal adenocarcinoma, have been shown in samples taken before diagnosis.76”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] O’Brien DP, Sandanayake NS, Jenkinson C, Serum CA19–9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: implications for early disease detection. Clin Cancer Res 2015; 21: 622– 31. 24938522 PMC4181906 source
Not checked in the free run.
- Interpretationreasoning
The most promising future early detection strategy is likely to be a discrete panel of biomarkers combined with clinical features.
“Ultimately, the most promising early detection strategy will probably come from a discrete panel of biomarkers used in combination with clinical features.”
Quote in the paperSubstantial claim - Premisecitation
Fishman and colleagues described a radiomics-based machine learning algorithm that distinguishes pancreatic ductal adenocarcinoma from healthy pancreas and pancreatitis with high specificity and sensitivity.
“For identification of the primary tumour, Fishman and colleagues have described a radiomics-based machine learning algorithm to differentiate pancreatic ductal adenocarcinoma from benign situations (ie, healthy pancreas and pancreatitis), with high specificity and sensitivity.112”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] Chu LC, Park S, Kawamoto S, Utility of CT radiomics features in differentiation of pancreatic ductal adenocarcinoma from normal pancreatic tissue. AJR Am J Roentgenol 2019; 213: 349– 57. 31012758 source
Not checked in the free run.
- Interpretationreasoning
Electronic health record models may be of insufficient value as the first tool for identifying people who need further work-up for pancreatic ductal adenocarcinoma risk.
“Thus, these models might have insufficient value as the first tool to identify people who need further work-up for pancreatic ductal adenocarcinoma risk.”
Quote in the paperSubstantial claim - Premisecitation
EUROPAC estimated the lifetime risk of pancreatic ductal adenocarcinoma in hereditary pancreatitis at about 40%.
“EUROPAC quantified that the lifetime risk of pancreatic ductal adenocarcinoma in hereditary pancreatitis is approximately 40%.97”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Grocock CJ, Rebours V, Delhaye MN, The variable phenotype of the p.A16V mutation of cationic trypsinogen (PRSS1) in pancreatitis families. Gut 2010; 59: 357– 63. 19951905 source
Not checked in the free run.
- Premisecitation
A model for new-onset diabetes in Minnesota using age at onset and changes in weight and blood glucose identified a 4.5% 3-year predicted risk of pancreatic ductal adenocarcinoma, with 78% sensitivity and 80% specificity (AUC 0.87).
“A model based on patients with new-onset diabetes residing in Minnesota, USA, incorporated age at onset of diabetes and changes in weight and blood glucose to identify people with a 4·5% 3-year predicted risk of developing pancreatic ductal adenocarcinoma, with 78% sensitivity and 80% specificity (AUC 0·87).103”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] Sharma A, Kandlakunta H, Nagpal SJS, Model to determine risk of pancreatic cancer in patients with new-onset diabetes. Gastroenterology 2018; 155: 730– 739.e3. 29775599 PMC6120785 source
Not checked in the free run.
- Premisecitation
Radiomics and quantitative imaging studies have shown that enhancement and morphology of primary pancreatic tumours have biological underpinnings and clinical relevance.
“Other applications of radiomics and quantitative imaging approaches have shown that the enhancement and morphology of the primary tumours have biological underpinnings and clinical relevance,113–115”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [113] Amer AM, Zaid M, Chaudhury B, Imaging-based biomarkers: changes in the tumor interface of pancreatic ductal adenocarcinoma on computed tomography scans indicate response to cytotoxic therapy. Cancer 2018; 124: 1701– 09. 29370450 PMC5891375 source
Not checked in the free run.
- cites [114] Koay EJ, Lee Y, Cristini V, A visually apparent and quantifiable CT imaging feature identifies biophysical subtypes of pancreatic ductal adenocarcinoma. Clin Cancer Res 2018; 24: 5883– 94. 30082477 PMC6279613 source
Not checked in the free run.
- cites [115] Koay EJ, Truty MJ, Cristini V, Transport properties of pancreatic cancer describe gemcitabine delivery and response. J Clin Invest 2014; 124: 1525– 36. 24614108 PMC3973100 source
Not checked in the free run.
- Premisecitation
A retrospective review of CT scans performed for other indications found no evidence of a pancreatic mass in most patients 6 months or more before pancreatic ductal adenocarcinoma diagnosis.
“A retrospective review of CT scans done for other indications showed no evidence of a pancreatic mass in most patients 6 months or earlier before the diagnosis of pancreatic ductal adenocarcinoma.120,121”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [120] Pelaez-Luna M, Takahashi N, Fletcher JG, Chari ST. Resectability of presymptomatic pancreatic cancer and its relationship to onset of diabetes: a retrospective review of CT scans and fasting glucose values prior to diagnosis. Am J Gastroenterol 2007; 102: 2157– 63. 17897335 source
Not checked in the free run.
- cites [121] Gangi S, Fletcher JG, Nathan MA, Time interval between abnormalities seen on CT and the clinical diagnosis of pancreatic cancer: retrospective review of CT scans obtained before diagnosis. AJR Am J Roentgenol 2004; 182: 897– 903. 15039161 source
Not checked in the free run.
- Interpretationcitation
Advanced external body imaging techniques are needed to detect pancreatic ductal adenocarcinoma earlier than currently possible.
“Thus, there is a need for advanced external body imaging techniques to improve detection of pancreatic ductal adenocarcinoma at an earlier stage than is presently possible.”
Quote in the paperSubstantial claim - Premisecitation
A Medicare claims model for new-onset diabetes, applied to people aged 68 years or older, identified a 3.5% predicted risk of pancreatic ductal adenocarcinoma over 1 year (AUC 0.73).
“This model has been applied to an older population (≥68 years) with new-onset diabetes, and identified people at 3·5% predicted risk of pancreatic ductal adenocarcinoma over 1 year (AUC 0·73).106”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [106] Baecker A, Kim S, Risch HA, Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. PLoS One 2019; 14: e0218580. 31237889 PMC6592596 source
Not checked in the free run.
- Premisecitation
Diabetes predisposes to cancer in hereditary pancreatitis.
“and that diabetes predisposes for cancer in hereditary pancreatitis.100”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [100] Kolamunnage-Dona R, Vitone L, Greenhalf W, Henderson R, Williamson PR. A multistate modelling approach for pancreatic cancer development in genetically high-risk families. J R Stat Soc C-Appl 2013; 62: 201– 12. source
Not checked in the free run.
- Interpretationreasoning
Implementation of research-data models in the general population is challenging because smoking or drinking intensity and blood type are not readily available in electronic health records.
“Because information on smoking or drinking intensity and blood type are not readily available in electronic health records, implementation of models based on research data poses some challenges for the general population.”
Quote in the paperSubstantial claim - Interpretationreasoning
For patients having screening or imaging for non-pancreatic reasons, measuring body compartments over time could provide useful metrics for earlier detection of pancreatic cancer.
“For patients undergoing screening or imaging for reasons other than the pancreas, the measurement of body compartments—especially over time—could provide important metrics in the earlier detection of pancreatic cancer.”
Quote in the paperSubstantial claim - Premisecitation
Exocrine insufficiency appears to contribute to weight loss in pancreatic ductal adenocarcinoma.
“and exocrine insufficiency appears to be a contributing cause.116”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [116] Danai LV, Babic A, Rosenthal MH, Altered exocrine function can drive adipose wasting in early pancreatic cancer. Nature 2018; 558: 600– 04. 29925948 PMC6112987 source
Not checked in the free run.
- Premisecitation
Parametric models have been developed to identify high risk of pancreatic ductal adenocarcinoma among people with new-onset diabetes or pre-diabetes, with varying predictive performance.
“Parametric models that can identify high risk for pancreatic ductal adenocarcinoma among individuals with new-onset diabetes, or new-onset pre-diabetes, have been developed, with varying predictive performances.103–106”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [103] Sharma A, Kandlakunta H, Nagpal SJS, Model to determine risk of pancreatic cancer in patients with new-onset diabetes. Gastroenterology 2018; 155: 730– 739.e3. 29775599 PMC6120785 source
Not checked in the free run.
- cites [104] Boursi B, Finkelman B, Giantonio BJ, A clinical prediction model to assess risk for pancreatic cancer among patients with pre-diabetes. Jour Clin Onc 2019; 36: e16226. source
Not checked in the free run.
- cites [105] Boursi B, Finkelman B, Giantonio BJ, A clinical prediction model to assess risk for pancreatic cancer among patients with new-onset diabetes. Gastroenterology 2017; 152: 840– 50.e3. 27923728 PMC5337138 source
Not checked in the free run.
- cites [106] Baecker A, Kim S, Risch HA, Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. PLoS One 2019; 14: e0218580. 31237889 PMC6592596 source
Not checked in the free run.
- Premisecitation
EUROPAC has shown that in familial pancreatic cancer the age at onset of pancreatic ductal adenocarcinoma becomes progressively younger in each generation.
“EUROPAC has also shown that the age of onset of pancreatic ductal adenocarcinoma becomes progressively earlier with each generation in familial pancreatic cancer,99”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [99] McFaul CD, Greenhalf W, Earl J, Anticipation in familial pancreatic cancer. Gut 2006; 55: 252– 58. 15972300 PMC1856528 source
Not checked in the free run.
- Premisecitation
Medical imaging has been shown to detect precancerous tissue changes in the pancreas among individuals at high risk.
“The ability to detect precancerous tissue changes in the pancreas using medical imaging among individuals at high risk has also been shown.110,122–125”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [110] Klein AP, Lindström S, Mendelsohn JB, An absolute risk model to identify individuals at elevated risk for pancreatic cancer in the general population. PLoS One 2013; 8: e72311. 24058443 PMC3772857 source
Not checked in the free run.
- cites [122] Canto MI, Goggins M, Yeo CJ, Screening for pancreatic neoplasia in high-risk individuals: an EUS-based approach. Clin Gastroenterol Hepatol 2004; 2: 606– 21. 15224285 source
Not checked in the free run.
- cites [123] Canto MI, Goggins M, Hruban RH, Screening for early pancreatic neoplasia in high-risk individuals: a prospective controlled study. Clin Gastroenterol Hepatol 2006; 4: 766– 81, quiz 665. 16682259 source
Not checked in the free run.
- cites [124] Poley JW, Kluijt I, Gouma DJ, The yield of first-time endoscopic ultrasonography in screening individuals at a high risk of developing pancreatic cancer. Am J Gastroenterol 2009; 104: 2175– 81. 19491823 source
Not checked in the free run.
- cites [125] Verna EC, Hwang C, Stevens PD, Pancreatic cancer screening in a prospective cohort of high-risk patients: a comprehensive strategy of imaging and genetics. Clin Cancer Res 2010; 16: 5028– 37. 20876795 source
Not checked in the free run.
- Interpretationreasoning
The performance of insurance-claim models was limited by reliance on coded diagnoses without laboratory parameters.
“Reliance on coded diagnoses without laboratory parameters limited the performance of these models.”
Quote in the paperSubstantial claim - Premisecitation
Weight loss has been validated as one of three key factors predicting early-stage disease in patients with new-onset diabetes.
“weight loss has been validated as one of three key factors to predict early stage disease in patients with new-onset diabetes,103”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] Sharma A, Kandlakunta H, Nagpal SJS, Model to determine risk of pancreatic cancer in patients with new-onset diabetes. Gastroenterology 2018; 155: 730– 739.e3. 29775599 PMC6120785 source
Not checked in the free run.
- Premisecitation
A UK electronic health record model for new-onset diabetes identified a group with 5% 3-year predicted risk of pancreatic ductal adenocarcinoma, with 11% sensitivity and 99.7% specificity (AUC 0.82).
“Among individuals with new-onset diabetes, this model identifies a population with 5% 3-year predicted risk of pancreatic ductal adenocarcinoma, with 11% sensitivity and 99·7% specificity (AUC 0·82).104”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [104] Boursi B, Finkelman B, Giantonio BJ, A clinical prediction model to assess risk for pancreatic cancer among patients with pre-diabetes. Jour Clin Onc 2019; 36: e16226. source
Not checked in the free run.
- Premisecitation
A study of 3.9 million patients with cancer in seven countries found that pancreatic ductal adenocarcinoma had the lowest 5-year survival among the investigated cancer types, from 7.9% in the UK to 14.6% in Australia.
“found that pancreatic ductal adenocarcinoma had the lowest 5-year survival rates among the investigated cancer types, ranging from 7·9% in the UK to 14·6% in Australia.4”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Arnold M, Rutherford MJ, Bardot A, Progress in cancer survival, mortality, and incidence in seven high-income countries 1995–2014 (ICBP SURVMARK-2): a population-based study. Lancet Oncol 2019; 20: 1493– 505. 31521509 PMC6838671 source
Not checked in the free run.
- Interpretationnone given
New tailor-made cohorts of people with new-onset diabetes or symptoms provide unique pre-diagnostic resources for discovering and validating biological and epidemiological markers.
“The establishment of new tailor-made cohorts (of individuals with new-onset diabetes or with symptoms) provides unique pre-diagnostic resources for biological and epidemiological marker discovery and validation.”
Quote in the paperSubstantial claim - Interpretationreasoning
Early diagnosis will play an important role in improving pancreatic ductal adenocarcinoma survival figures.
“Early diagnosis will undoubtedly play an important role in improving these figures, and, as our review points out, progress has been made.”
Quote in the paperSubstantial claim - Interpretationcitation
Artificial intelligence applied to imaging offers the possibility of detecting pancreatic lesions earlier.
“whereas artificial intelligence applied to imaging offers the possibility of detecting earlier lesions.”
Quote in the paperSubstantial claim - Interpretationreasoning
Radiomic analysis of medical images with deep learning may soon identify unique pre-diagnostic image features that allow accurate prediction of pancreatic ductal adenocarcinoma.
“Radiomic analysis of medical images using deep learning might allow identification of unique image features in pre-diagnostic images to allow accurate prediction of pancreatic ductal adenocarcinoma in the near future.”
Quote in the paperSubstantial claim - Interpretationnone given
Imaging provides more sensitive and specific information about pancreatic parenchyma and duct than personal health data.
“Imaging represents more sensitive and specific information for parenchyma and duct of the pancreas than personal health data.”
Quote in the paperNot a substantial claim
- May combine two claims. 32
- Classified as probably not a substantial claim. 20
May combine two claims.
PremisecitationScreening high-risk groups increases the detection rate and reduces false-positive results.
“Screening individuals in high-risk groups increases the rate of detection and reduces false-positive results.8”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Poruk KE, Firpo MA, Adler DG, Mulvihill SJ. Screening for pancreatic cancer: why, how, and who? Ann Surg 2013; 257: 17– 26. 22895395 PMC4113008 source
Not checked in the free run.
May combine two claims.
PremisecitationHigh-risk groups for pancreatic ductal adenocarcinoma include people with inherited predisposition, people with pancreatic cystic lesions, and people older than 50 years with newly diagnosed type 2 diabetes.
“Here, we review groups at high risk for pancreatic ductal adenocarcinoma, including individuals with inherited predisposition and patients with pancreatic cystic lesions.”
- Also stated in: § Introduction · plain
“Several groups at high risk of pancreatic ductal adenocarcinoma have been identified, including individuals in families with an inherited risk,17,18 people with cystic lesions of the pancreas,19–21 and people older than 50 years, newly diagnosed with type 2 diabetes.22,23”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [17] Petersen GM. Familial pancreatic adenocarcinoma. Hematol Oncol Clin North Am 2015; 29: 641– 53. 26226902 PMC4522044 source
Not checked in the free run.
- cites [18] Canto MI, Almario JA, Schulick RD, Risk of neoplastic progression in individuals at high risk for pancreatic cancer undergoing long-term surveillance. Gastroenterology 2018; 155: 740– 51.e2. 29803839 PMC6120797 source
Not checked in the free run.
- cites [19] Kimura W, Moriya T, Hirai I, Multicenter study of serous cystic neoplasm of the Japan pancreas society. Pancreas 2012; 41: 380– 87. 22415666 source
Not checked in the free run.
- cites [20] Del Chiaro M, Verbeke C, Salvia R, European experts consensus statement on cystic tumours of the pancreas. Dig Liver Dis 2013; 45: 703– 11. 23415799 source
Not checked in the free run.
- cites [21] Vege SS, Ziring B, Jain R, Moayyedi P, Clinical Guidelines Committee, American Gastroenterology Association. American gastroenterological association institute guideline on the diagnosis and management of asymptomatic neoplastic pancreatic cysts. Gastroenterology 2015; 148: 819– 22; quize12–3. 25805375 source
Not checked in the free run.
- Also stated in: § Introduction · plain
May combine two claims.
PremisecitationPancreatic ductal adenocarcinoma is usually found after it has reached an advanced stage, which limits treatment options and contributes to poor survival.
“Pancreatic ductal adenocarcinoma is most frequently detected at an advanced stage. Such late detection restricts treatment options and contributes to a dismal 5-year survival rate of 3–15%.”
- Also stated in: § Introduction · plain
“These dismal figures are attributed to late-stage and incurable-stage diagnosis as well as high tumour chemoresistance.5”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Kamisawa T, Wood LD, Itoi T, Takaori K. Pancreatic cancer. Lancet 2016; 388: 73– 85. 26830752 source
Not checked in the free run.
- Also stated in: § Introduction · plain
May combine two claims.
PremisereasoningScreening asymptomatic adults at average risk for pancreatic ductal adenocarcinoma is not feasible or recommended with current modalities.
“Pancreatic ductal adenocarcinoma is relatively uncommon and screening of the asymptomatic adult population is not feasible or recommended with current modalities.”
- Also stated in: § Introduction · plain
“The low disease prevalence makes screening of the asymptomatic adult population unfeasible. Existing diagnostic methods would incur unacceptably high rates of false-positive findings,16”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Hart PA, Chari ST. Is screening for pancreatic cancer in high-risk individuals one step closer or a fool’s errand? Clin Gastroenterol Hepatol 2019; 17: 36– 38. 30268560 PMC6557281 source
Not checked in the free run.
- Also stated in: § Introduction · plain
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenScreening individuals in high-risk groups is recommended.
“However, screening of individuals in high-risk groups is recommended.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIncreasing knowledge about the genetic progression of intraductal papillary mucinous neoplasms suggests that early lesions are heterogeneous, whereas lesions with high-grade dysplasia have a smaller number of homogeneous driver genes.
“There is increasing knowledge about the progression of intraductal papillary mucinous neoplasms from a genetic perspective, which suggests that early lesions are heterogeneous, whereas lesions with high-grade dysplasia have a smaller number of homogeneous driver genes.42”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Fischer CG, Beleva Guthrie V, Braxton AM, Intraductal papillary mucinous neoplasms arise from multiple independent clones, each with distinct mutations. Gastroenterology 2019; 157: 1123– 37.e22. 31175866 PMC6756950
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationFamilial pancreatic cancer is defined as having multiple first-degree relatives with pancreatic ductal adenocarcinoma, exclusive of other cancer syndromes.
“familial pancreatic cancer is a syndrome that is defined as having multiple first-degree relatives with pancreatic ductal adenocarcinoma, exclusive of other cancer syndromes.36”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Grocock CJ, Vitone LJ, Harcus MJ, Neoptolemos JP, Raraty MG, Greenhalf W. Familial pancreatic cancer: a review and latest advances. Adv Med Sci 2007; 52: 37– 49. 18217388
Not checked in the free run.
May combine two claims.
PremisecitationAn incidental pancreatic cyst seen on MRI has a 10 in 100,000 chance of being a mucinous invasive malignancy and a 17 in 100,000 chance of being a ductal cancer.
“It is estimated that a cyst seen incidentally on MRI has a 10 in 100 000 chance of being a mucinous invasive malignancy, and a 17 in 100 000 chance of being a ductal cancer.21”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Vege SS, Ziring B, Jain R, Moayyedi P, Clinical Guidelines Committee, American Gastroenterology Association. American gastroenterological association institute guideline on the diagnosis and management of asymptomatic neoplastic pancreatic cysts. Gastroenterology 2015; 148: 819– 22; quize12–3. 25805375 source
Not checked in the free run.
May combine two claims.
PremisecitationSome families affected by BRCA2 mutations have an increased incidence of pancreatic ductal adenocarcinoma and breast or ovarian cancer, and are classified as having both HBOC and hereditary pancreatic cancer.
“Some families affected by BRCA2 mutations have an increased incidence of pancreatic ductal adenocarcinoma and breast or ovarian cancer. These families are classified as having both HBOC and hereditary pancreatic cancer.33”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Iqbal J, Ragone A, Lubinski J, The incidence of pancreatic cancer in BRCA1 and BRCA2 mutation carriers. Br J Cancer 2012; 107: 2005– 09. 23099806 PMC3516682 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningIn the absence of autosomal dominance, an individual's risk of pancreatic ductal adenocarcinoma might be high, but it is difficult or impossible to predict prospectively.
“In the absence of autosomal dominance, risk for an individual might be high, but such a risk is difficult or impossible to prospectively predict.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationA combined molecular and clinical marker panel was more accurate than current clinical features alone for classifying patients with pancreatic cysts who required surgery, routine monitoring, or no surveillance, and its use would have decreased unnecessary operations by 60% compared with conventional clinical and imaging criteria alone.
“A study of 862 individuals undergoing surgery for pancreatic cysts found that a combined molecular and clinical marker panel was more accurate than current clinical features alone for classifying patients who required surgery, or routine monitoring, or did not require surveillance; use of these combined markers would have decreased the number of unnecessary operations by 60% compared with the use”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Springer S, Masica DL, Dal Molin M, A multimodality test to guide the management of patients with a pancreatic cyst. Sci Transl Med 2019; 11: eaav4772. 31316009 PMC7859881 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPancreatic ductal adenocarcinoma has an incidence of 8-12 per 100,000 per year and a lifetime risk of 1.3%.
“with an incidence of 8–12 per 100 000 per year and a 1·3% lifetime risk of developing the disease.3”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68: 394– 424. 30207593
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe 5% lifetime-risk target group includes individuals with at least two first-degree relatives with pancreatic ductal adenocarcinoma, patients with hereditary pancreatitis or particular genetic syndromes, and individuals with mucinous cystic lesions of the pancreas.
“This target includes individuals with at least two first-degree relatives with pancreatic ductal adenocarcinoma, patients with hereditary pancreatitis or particular genetic syndromes (eg, Peutz-Jeghers syndrome, or germline mutations in the CDKN2A, BRCA2, or PALB2),6,54 and individuals with mucinous cystic lesions of the pancreas.19–21”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [6] Canto MI, Harinck F, Hruban RH, International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer. Gut 2013; 62: 339– 47. 23135763 PMC3585492 source
Not checked in the free run.
- cites [54] Kenner BJ, Chari ST, Cleeter DF, Go VL. Early detection of sporadic pancreatic cancer: strategic map for innovation—a white paper. Pancreas 2015; 44: 686– 92. 25938853 PMC4467583 source
Not checked in the free run.
- cites [19] Kimura W, Moriya T, Hirai I, Multicenter study of serous cystic neoplasm of the Japan pancreas society. Pancreas 2012; 41: 380– 87. 22415666 source
Not checked in the free run.
- cites [20] Del Chiaro M, Verbeke C, Salvia R, European experts consensus statement on cystic tumours of the pancreas. Dig Liver Dis 2013; 45: 703– 11. 23415799 source
Not checked in the free run.
- cites [21] Vege SS, Ziring B, Jain R, Moayyedi P, Clinical Guidelines Committee, American Gastroenterology Association. American gastroenterological association institute guideline on the diagnosis and management of asymptomatic neoplastic pancreatic cysts. Gastroenterology 2015; 148: 819– 22; quize12–3. 25805375 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationInternational guidelines and a white paper on early detection recommend targeted screening of individuals whose lifetime risk of pancreatic ductal adenocarcinoma is higher than 5%.
“However, international guidelines and a white paper on the early detection of pancreatic ductal adenocarcinoma recommend targeted screening of individuals whose lifetime risk of developing pancreatic ductal adenocarcinoma is higher than 5% (figure 1).6,54”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [6] Canto MI, Harinck F, Hruban RH, International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer. Gut 2013; 62: 339– 47. 23135763 PMC3585492 source
Not checked in the free run.
- cites [54] Kenner BJ, Chari ST, Cleeter DF, Go VL. Early detection of sporadic pancreatic cancer: strategic map for innovation—a white paper. Pancreas 2015; 44: 686– 92. 25938853 PMC4467583 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationGuidelines recommend immediate surgical resection for any pancreatic lesion with high-risk stigmata and regular surveillance with interval imaging for all mucinous or indeterminate lesions.
“Guidelines recommend immediate surgical resection for any lesion with high-risk stigmata, and regular surveillance with interval imaging (MRI or endoscopic ultrasound) for all mucinous or indeterminate lesions.21,60”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [21] Vege SS, Ziring B, Jain R, Moayyedi P, Clinical Guidelines Committee, American Gastroenterology Association. American gastroenterological association institute guideline on the diagnosis and management of asymptomatic neoplastic pancreatic cysts. Gastroenterology 2015; 148: 819– 22; quize12–3. 25805375 source
Not checked in the free run.
- cites [60] European Study Group on Cystic Tumours of the Pancreas. European evidence-based guidelines on pancreatic cystic neoplasms. Gut 2018; 67: 789– 804. 29574408 PMC5890653 source
Not checked in the free run.
May combine two claims.
PremisecitationOther high-risk groups for pancreatic ductal adenocarcinoma include individuals with new-onset diabetes, modifiable risk factors, non-modifiable risk factors, specific comorbidities, or early symptoms.
“Other high-risk groups have been identified, such as individuals with new-onset diabetes (as discussed above), modifiable risk factors (eg, smoking, obesity), non-modifiable risk factors (eg, age), specific comorbidities (eg, obesity, chronic pancreatitis), or early symptoms (some of which are present for more than 1 year before diagnosis).10,12,13,56”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Keane MG, Horsfall L, Rait G, Pereira SP. A case-control study comparing the incidence of early symptoms in pancreatic and biliary tract cancer. BMJ Open 2014; 4: e005720. PMC4244441 25410605 source
Not checked in the free run.
- cites [12] Hippisley-Cox J, Coupland C. Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012; 62: e38– 45. 22520674 PMC3252538 source
Not checked in the free run.
- cites [13] Stapley S, Peters TJ, Neal RD, Rose PW, Walter FM, Hamilton W. The risk of pancreatic cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 2012; 106: 1940– 44. 22617126 PMC3388562 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe US Preventive Services Task Force and other guidelines recommend against screening for pancreatic ductal adenocarcinoma in asymptomatic adults at average risk.
“The US Preventive Services Task Force and other guidelines recommend against screening for pancreatic ductal adenocarcinoma in asymptomatic adults at average risk.6,53,54”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [6] Canto MI, Harinck F, Hruban RH, International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer. Gut 2013; 62: 339– 47. 23135763 PMC3585492 source
Not checked in the free run.
- cites [53] Owens DK, Davidson KW, Krist AH, Screening for pancreatic cancer: US Preventive Services Task Force Reaffirmation Recommendation Statement. JAMA 2019; 322: 438– 44. 31386141 source
Not checked in the free run.
- cites [54] Kenner BJ, Chari ST, Cleeter DF, Go VL. Early detection of sporadic pancreatic cancer: strategic map for innovation—a white paper. Pancreas 2015; 44: 686– 92. 25938853 PMC4467583 source
Not checked in the free run.
May combine two claims.
PremisecitationEstablished screening programmes for pancreatic ductal adenocarcinoma include the pan-European EUROPAC registry, the North American National Familial Pancreatic Tumor Registry, and the German National Case Collection for familial pancreatic cancer.
“Established screening programmes exist, including the pan-European EUROPAC registry,36 North American National Familial Pancreatic Tumor Registry,57 and the German National Case Collection for familial pancreatic cancer.58”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [36] Grocock CJ, Vitone LJ, Harcus MJ, Neoptolemos JP, Raraty MG, Greenhalf W. Familial pancreatic cancer: a review and latest advances. Adv Med Sci 2007; 52: 37– 49. 18217388
Not checked in the free run.
- cites [57] Hruban RH, Petersen GM, Goggins M, Familial pancreatic cancer. Ann Oncol 1999; 10 (suppl 4): 69– 73. 10436789 source
Not checked in the free run.
- cites [58] Schneider R, Slater EP, Sina M, German national case collection for familial pancreatic cancer (FaPaCa): ten years experience. Fam Cancer 2011; 10: 323– 30. 21207249 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApproximately 8% of all pancreatic ductal adenocarcinomas are believed to arise from premalignant mucinous cystic lesions of the pancreas.
“Approximately 8% of all pancreatic ductal adenocarcinomas are believed to arise from premalignant mucinous cystic lesions of the pancreas.59”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Le H, Ziogas A, Rhee JM, Lee JG, Lipkin SM, Zell JA. A population-based, descriptive analysis of malignant intraductal papillary mucinous neoplasms of the pancreas. Cancer Epidemiol Biomarkers Prev 2008; 17: 2737– 41. 18843017 source
Not checked in the free run.
May combine two claims.
InterpretationcitationCombining risk factors through cancer decision support tools can reach the 5% risk threshold in some individuals, defining a further group suitable for screening.
“However, by combining these factors through cancer decision support tools, the 5% risk threshold can be reached in some individuals, defining a further group suitable for screening.10,12,13”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Keane MG, Horsfall L, Rait G, Pereira SP. A case-control study comparing the incidence of early symptoms in pancreatic and biliary tract cancer. BMJ Open 2014; 4: e005720. PMC4244441 25410605 source
Not checked in the free run.
- cites [12] Hippisley-Cox J, Coupland C. Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012; 62: e38– 45. 22520674 PMC3252538 source
Not checked in the free run.
- cites [13] Stapley S, Peters TJ, Neal RD, Rose PW, Walter FM, Hamilton W. The risk of pancreatic cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 2012; 106: 1940– 44. 22617126 PMC3388562 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSurveillance protocols for pancreatic cysts typically recommend cross-sectional imaging once every 6 months in the first year and annually thereafter if no changes are detected.
“Surveillance protocols vary between the different guidelines, but typically recommend cross-sectional imaging once every 6 months in the first year, and annually thereafter if no changes are detected.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [21] Vege SS, Ziring B, Jain R, Moayyedi P, Clinical Guidelines Committee, American Gastroenterology Association. American gastroenterological association institute guideline on the diagnosis and management of asymptomatic neoplastic pancreatic cysts. Gastroenterology 2015; 148: 819– 22; quize12–3. 25805375 source
Not checked in the free run.
- cites [60] European Study Group on Cystic Tumours of the Pancreas. European evidence-based guidelines on pancreatic cystic neoplasms. Gut 2018; 67: 789– 804. 29574408 PMC5890653 source
Not checked in the free run.
May combine two claims.
PremisecitationThe diabetes experienced by most patients with pancreatic ductal adenocarcinoma is of recent onset, diagnosed less than 24-36 months before diagnosis, and is improved by surgical resection of the tumour.
“The diabetes experienced by most patients with pancreatic ductal adenocarcinoma is of recent onset (diagnosed less than 24–36 months before diagnosis of pancreatic ductal adenocarcinoma), and is improved by surgical resection of the tumour.48”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Hart PA, Bellin MD, Andersen DK, Type 3c (pancreatogenic) diabetes mellitus secondary to chronic pancreatitis and pancreatic cancer. Lancet Gastroenterol Hepatol 2016; 1: 226– 37. 28404095 PMC5495015 source
Not checked in the free run.
May combine two claims.
PremisecitationScreening the general population for pancreatic ductal adenocarcinoma carries risk, and there is currently no evidence that it reduces mortality or is cost-effective.
“Screening of the general population carries risk, and there is currently no evidence that it reduces mortality or is cost-effective.54,55”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [54] Kenner BJ, Chari ST, Cleeter DF, Go VL. Early detection of sporadic pancreatic cancer: strategic map for innovation—a white paper. Pancreas 2015; 44: 686– 92. 25938853 PMC4467583 source
Not checked in the free run.
- cites [55] Henrikson NB, Aiello Bowles EJ, Blasi PR, Screening for pancreatic cancer: updated evidence report and systematic review for the US preventive services task force. JAMA 2019; 322: 445– 54. 31386140 PMC13387050 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThat study, done within the Swedish health-care system, concluded that biomarker-mediated screening is highly desirable.
“This study, which was done within the Swedish health-care system, concluded that biomarker-mediated screening is highly desirable.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [74] Ghatnekar O, Andersson R, Svensson M, Modelling the benefits of early diagnosis of pancreatic cancer using a biomarker signature. Int J Cancer 2013; 133: 2392– 97. 23649606 source
Not checked in the free run.
May combine two claims.
PremisecitationPatients often show symptoms that suggest pancreatic ductal adenocarcinoma at repeated primary care consultations before diagnosis, but they often encounter delays in the workup process.
“Although patients often show symptoms that suggest pancreatic ductal adenocarcinoma at repeated primary care consultations before diagnosis,12,13,63 they often encounter delays in the workup process.64”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [12] Hippisley-Cox J, Coupland C. Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012; 62: e38– 45. 22520674 PMC3252538 source
Not checked in the free run.
- cites [13] Stapley S, Peters TJ, Neal RD, Rose PW, Walter FM, Hamilton W. The risk of pancreatic cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 2012; 106: 1940– 44. 22617126 PMC3388562 source
Not checked in the free run.
- cites [63] Lyratzopoulos G, Neal RD, Barbiere JM, Rubin GP, Abel GA. Variation in number of general practitioner consultations before hospital referral for cancer: findings from the 2010 National Cancer Patient Experience Survey in England. Lancet Oncol 2012; 13: 353– 65. 22365494 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2013, cancer decision support tools were incorporated into software systems of general practitioner practices in the UK.
“In 2013, cancer decision support tools were incorporated into software systems of general practitioner practices in the UK.12”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Hippisley-Cox J, Coupland C. Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012; 62: e38– 45. 22520674 PMC3252538 source
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationnone givenBiomarkers could play an important role in early detection of pancreatic ductal adenocarcinoma by enriching for individuals in high-risk groups who have the highest chance of a cancer diagnosis, thereby helping clinicians prioritise individuals for screening.
“Biomarkers could play an important role in early detection of pancreatic ductal adenocarcinoma by enriching for individuals in high-risk groups who have the highest chance of a cancer diagnosis, thereby helping clinicians prioritise individuals for screening (figure 2).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBecause normal-tissue signals are reduced or removed, synthetic biomarker signals can be made highly cancer-specific and tailored for sensitive detection.
“Because signals from normal tissues are reduced or eliminated, the signals can be engineered to be highly specific for cancer, and the method can be tailored for highly sensitive detection tools.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMore frequent surveillance is advocated for larger pancreatic lesions or lesions with worrisome features.
“More frequent surveillance is advocated for larger lesions or lesions with worrisome features.21,60”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [21] Vege SS, Ziring B, Jain R, Moayyedi P, Clinical Guidelines Committee, American Gastroenterology Association. American gastroenterological association institute guideline on the diagnosis and management of asymptomatic neoplastic pancreatic cysts. Gastroenterology 2015; 148: 819– 22; quize12–3. 25805375 source
Not checked in the free run.
- cites [60] European Study Group on Cystic Tumours of the Pancreas. European evidence-based guidelines on pancreatic cystic neoplasms. Gut 2018; 67: 789– 804. 29574408 PMC5890653 source
Not checked in the free run.
May combine two claims.
PremisecitationThe use of high-risk groups as controls and combining molecular markers with clinical features is an important consideration when identifying biomarkers capable of selecting populations at highest risk of pancreatic ductal adenocarcinoma for screening.
“Moreover, the use of high-risk groups as controls and combining molecular markers with clinical features is an important consideration when identifying biomarkers capable of selecting populations at highest risk of development of pancreatic ductal adenocarcinoma for screening.75”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [75] Springer S, Wang Y, Dal Molin M, A combination of molecular markers and clinical features improve the classification of pancreatic cysts. Gastroenterology 2015; 149: 1501– 10. 26253305 PMC4782782 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningResearch into the molecular changes occurring during progression from precursor lesion through early-stage pancreatic ductal adenocarcinoma to advanced disease is generating greater understanding and providing a basis for rational biomarker development strategies.
“Research into the molecular changes occurring during the sequential progression from lesion, through early-stage pancreatic ductal adenocarcinoma, and finally to advanced disease is generating a greater understanding of development and progression of pancreatic ductal adenocarcinoma. This understanding is providing a basis for designing rational strategies to develop biomarkers for early detection”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningSingle biomarkers will probably not have high sensitivity for detection of pancreatic ductal adenocarcinoma, and robust panels of biomarkers will be required.
“Consequently, single biomarkers will probably not have high sensitivity for detection of pancreatic ductal adenocarcinoma, and robust panels of biomarkers will be required.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudies underway in the USA and UK are actively investigating how best to detect pancreatic ductal adenocarcinoma in individuals with new-onset diabetes.
“However, studies underway in the USA61 and UK62 are actively investigating how best to detect pancreatic ductal adenocarcinoma in individuals with new-onset diabetes.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [61] Maitra A, Sharma A, Brand RE, A prospective study to establish a new-onset diabetes cohort: from the consortium for the study of chronic pancreatitis, diabetes, and pancreatic cancer. Pancreas 2018; 47: 1244– 48. 30325864 PMC6432934 source
Not checked in the free run.
- cites [62] UK Early Detection Initiative, Liverpool Clinical Trials Centre, Cancer Research UK. UK early detection initiative for pancreatic cancer. www.uk-edi.co.uk (accessed Sept 17, 2019).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe usefulness and outcomes of the current UK programme are subject to ongoing assessment via the Accelerate, Coordinate, Evaluate Programme.
“The usefulness and outcomes of the current programme are subject to ongoing assessment via the Accelerate, Coordinate, Evaluate Programme, an initiative supported by Cancer Research UK and Macmillan Cancer Support.65”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] Cancer Research UK. Accelerate, Coordinate, Evaluate (ACE) programme. 2019 https://www.cancerresearchuk.org/health-professional/diagnosis/accelerate-coordinate-evaluate-ace-programme/multidisciplinary-diagnostic-centres-mdcs (accessed Sept 2, 2019).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationLarge population-based cohorts such as UKCTOCS and EPIC contain patient samples that precede diagnosis of pancreatic ductal adenocarcinoma, but crucial information such as family history and comorbidity data are not consistently available.
“Although large population-based cohorts that have recruited healthy individuals (such as UKCTOCS72 and EPIC73) contain patient samples that precede diagnosis of pancreatic ductal adenocarcinoma, crucial information—such as family history and comorbidity data, including the presence of chronic pancreatitis or diabetes—are not consistently available.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [72] Menon U, Gentry-Maharaj A, Ryan A, Recruitment to multicentre trials—lessons from UKCTOCS: descriptive study. BMJ 2008; 337: a2079. 19008269 PMC2583394 source
Not checked in the free run.
- cites [73] Riboli E, Hunt KJ, Slimani N, European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 2002; 5: 1113– 24. 12639222 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA small pilot study suggested that pancreatic ductal adenocarcinoma-associated diabetes may be distinguished from type 2 diabetes by a blunted pancreatic polypeptide response to a mixed meal.
“A small pilot study suggested that pancreatic ductal adenocarcinoma-associated diabetes might be distinguished from the more prevalent type 2 diabetes by a blunted pancreatic polypeptide response to a mixed meal.94”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [94] Hart PA, Baichoo E, Bi Y, Hinton A, Kudva YC, Chari ST. Pancreatic polypeptide response to a mixed meal is blunted in pancreatic head cancer associated with diabetes mellitus. Pancreatology 2015; 15: 162– 66. 25766398 source
Not checked in the free run.
May combine two claims.
PremisecitationAn artificial neural network model using US National Health Interview Survey and PLCO Trial data reached an AUC of 0.85 and included age, sex, race and ethnicity, diabetes, emphysema, asthma, stroke, cardiovascular diseases, ulcers, other cancer, hypertension, smoking status, physical activity, alcohol consumption, and family history of pancreatic ductal adenocarcinoma.
“This model reached an AUC of 0·85 and incorporated data on age, sex, race and ethnicity, diabetes, emphysema, asthma, stroke, cardiovascular diseases, ulcers, other cancer, hypertension, smoking status, physical activity, alcohol consumption, and family history of pancreatic ductal adenocarcinoma.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [109] Muhammad W, Hart GR, Nartowt B, Pancreatic cancer prediction through an artificial neural network. Front Artif Intell 2019; 2: 2. PMC7861334 33733091 source
Not checked in the free run.
- cites [110] Klein AP, Lindström S, Mendelsohn JB, An absolute risk model to identify individuals at elevated risk for pancreatic cancer in the general population. PLoS One 2013; 8: e72311. 24058443 PMC3772857 source
Not checked in the free run.
- cites [111] Risch HA, Yu H, Lu L, Kidd MS. Detectable symptomatology preceding the diagnosis of pancreatic cancer and absolute risk of pancreatic cancer diagnosis. Am J Epidemiol 2015; 182: 26– 34. 26049860 PMC4479115 source
Not checked in the free run.
May combine two claims.
InterpretationcitationOther research-interview models have not matched that performance but consistently show that age, sex, smoking, diabetes, family history of pancreatic ductal adenocarcinoma, abdominal symptoms, and blood group indicate increased risk.
“Other models based on research interviews have not reached similar levels of performance, but have consistently shown that age, sex, smoking, diabetes, family history of pancreatic ductal adenocarcinoma, abdominal symptoms, and blood group point to an increased risk of pancreatic ductal adenocarcinoma.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSarcopenia and fat loss are known components of the wasting syndrome of pancreatic ductal adenocarcinoma and may have prognostic implications.
“Indeed, sarcopenia and fat loss are known to be part of a wasting syndrome of pancreatic ductal adenocarcinoma and might have prognostic implications.117,118”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [117] Ozola Zalite I, Zykus R, Francisco Gonzalez M, Influence of cachexia and sarcopenia on survival in pancreatic ductal adenocarcinoma: a systematic review. Pancreatology 2015; 15: 19– 24. 25524484 source
Not checked in the free run.
- cites [118] Peng P, Hyder O, Firoozmand A, Impact of sarcopenia on outcomes following resection of pancreatic adenocarcinoma. J Gastrointest Surg 2012; 16: 1478– 86. 22692586 PMC3578313 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningElectronic health record models consistently have high specificity and low sensitivity, leading to high false-negative rates.
“A consistent performance characteristic of electronic health record models is high specificity and low sensitivity, leading to high false-negative rates.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationFurther insurance-claim models have been developed and have poor diagnostic performance (AUC 0.73).
“Further models based on insurance claims have been developed, with poor diagnostic performance (AUC 0·73).106,107”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [106] Baecker A, Kim S, Risch HA, Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. PLoS One 2019; 14: e0218580. 31237889 PMC6592596 source
Not checked in the free run.
- cites [107] Hsieh MH, Sun LM, Lin CL, Hsieh MJ, Hsu CY, Kao CH. Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models. Cancer Manag Res 2018; 10: 6317– 24. 30568493 PMC6267763 source
Not checked in the free run.
May combine two claims.
PremisecitationThe same UK model applied to people with pre-diabetes had lower accuracy (AUC 0.71) but a consistent direction of association with pancreatic ductal adenocarcinoma.
“The same model applied to individuals with pre-diabetes showed lower accuracy (AUC 0·71), but consistent direction of association with pancreatic ductal adenocarcinoma.105”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [105] Boursi B, Finkelman B, Giantonio BJ, A clinical prediction model to assess risk for pancreatic cancer among patients with new-onset diabetes. Gastroenterology 2017; 152: 840– 50.e3. 27923728 PMC5337138 source
Not checked in the free run.
May combine two claims.
PremisecitationNon-invasive measurement of body compartments has been fully automated and applied to pancreatic ductal adenocarcinoma through artificial intelligence, and could be incorporated into routine diagnostic imaging.
“The non-invasive measurement of different body compartments has already been fully automated and applied to pancreatic ductal adenocarcinoma through artificial intelligence methodologies, and this application could be easily incorporated into the evaluation of routine diagnostic imaging.119”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] Bridge CP, Rosenthal M, Wright B, Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks. International workshop on skin image analysis; 10 2, 2018. source
Not checked in the free run.
May combine two claims.
PremisecitationA South Korean time-to-event model using routine health examination data performed as well as the UK model (AUC 0.81) but had low positive predictive value (0.3-0.4% risk over 10 years) because it was evaluated in the general unselected population aged 40 years and older.
“This model performed as well (AUC=0·81) as the UK model,105 but had low positive predictive value (0·3–0·4% risk over 10 years) because it was evaluated in the general unselected population aged 40 years and older.108”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [108] Yu A, Woo SM, Joo J, Development and validation of a prediction model to estimate individual risk of pancreatic cancer. PLoS One 2016; 11: e0146473. 26752291 PMC4708985 source
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationnone givenIdentifying the few individuals with mucinous cystic lesions who are at highest risk of progression to pancreatic ductal adenocarcinoma remains a key knowledge gap.
“With respect to mucinous cysts, identifying the few individuals with mucinous cystic lesions at the highest risk of progression to pancreatic ductal adenocarcinoma is still a key knowledge gap.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationnone givenCareful and ethical use of existing social media or electronic health record data can facilitate prediction models.
“Careful and ethical use of existing data—whether through social media or electronic health records—has the power to facilitate prediction models, whereas artificial intelligence applied to imaging offers the possibility of detecting earlier lesions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenAdvances in early detection will accompany improvements in treatment to extend survival for people with pancreatic ductal adenocarcinoma.
“Advances in early detection will go together with improvements in treatment to extend survival for people with pancreatic ductal adenocarcinoma.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMuhammad and colleagues used artificial intelligence to analyse personal health data to calculate pancreatic ductal adenocarcinoma risk in the general population and identify high-risk individuals.
“Muhammad and colleagues used artificial intelligence to analyse available personal health data to calculate risk for pancreatic ductal adenocarcinoma in the general population and to identify high-risk individuals.109”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] Muhammad W, Hart GR, Nartowt B, Pancreatic cancer prediction through an artificial neural network. Front Artif Intell 2019; 2: 2. PMC7861334 33733091 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRoffman and colleagues used artificial intelligence to predict non-melanoma skin cancer from personal health data commonly available in electronic medical records.
“Roffman and colleagues127 used artificial intelligence to predict non-melanoma skin cancer by using personal health data (eg, sex, race, Hispanic ethnicity, hypertension, heart disease, exercise habits, history of stroke) commonly available in electronic medical record systems.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] Roffman D, Hart G, Girardi M, Ko CJ, Deng J. Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network. Sci Rep 2018; 8: 1701. 29374196 PMC5786038
Not checked in the free run.
The paper relies on this without support.
In some cases, the definitive diagnosis of pancreatic ductal adenocarcinoma is only possible after surgery, when sufficient tumour material is available for histological diagnosis.
“In some cases, the definitive diagnosis of pancreatic ductal adenocarcinoma is only possible following surgery (when there is sufficient tumour material to make the histological diagnosis), which carries the risk of substantial morbidity and mortality.”
The paper relies on this without support.
Some hereditary cancer syndromes, including HBOC, Lynch syndrome 2, FAMMM, Peutz-Jegher’s syndrome, and Li-Fraumeni syndrome, are associated with pancreatic ductal adenocarcinoma.
“Some hereditary cancer syndromes—including hereditary breast-ovarian cancer syndrome (HBOC), Lynch syndrome 2, familial atypical multiple mole melanoma (FAMMM), Peutz-Jegher’s syndrome, and Li-Fraumeni syndrome—are associated with pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
Not all pancreatic cystic lesions are intraductal papillary mucinous neoplasms or mucinous cystic neoplasms; many have no risk of malignant transformation and do not require surveillance.
“First, not all pancreatic cystic lesions are intraductal papillary mucinous neoplasms and mucinous cystic neoplasms. Many are cystic lesions with no risk of malignant transformation and thus do not require surveillance.”
The paper relies on this without support.
Most intraductal papillary mucinous neoplasms and mucinous cystic neoplasms do not progress to pancreatic ductal adenocarcinoma.
“Second, most intraductal papillary mucinous neoplasms and mucinous cystic neoplasms do not progress to pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
Currently available clinical tools are imperfect at differentiating benign pancreatic cysts that are safe to discharge, mucinous cystic lesions that harbour high-grade dysplasia or pancreatic ductal adenocarcinoma and require surgical resection, and mucinous cystic lesions with low-grade dysplasia that are safe to watch.
“Currently available clinical tools are imperfect at differentiating between benign cysts that are safe to discharge, mucinous cystic lesions that harbour high-grade dysplasia or pancreatic ductal adenocarcinoma and require surgical resection, and mucinous cystic lesions that have low-grade dysplasia and are safe to watch.”
The paper relies on this without support.
Different types of pancreatic cysts have specific mutational profiles that can be used to identify the type of cyst with a high level of confidence.
“We now know that different types of pancreatic cysts have specific mutational profiles that can be used to identify the type of cysts with a high level of confidence.”
The paper relies on this without support.
People with long-standing type 2 diabetes of more than 5 years have a 1–1.5-fold increased risk of pancreatic ductal adenocarcinoma compared with the general population.
“People with long-standing type 2 diabetes (more than 5 years) have a 1–1·5-fold increased risk of pancreatic ductal adenocarcinoma compared with the general population.”
The paper relies on this without support.
Individuals with new-onset diabetes are the highest risk group for sporadic pancreatic ductal adenocarcinoma.
“and individuals with new-onset diabetes are the highest risk group for sporadic pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
Approximately 0.8–1% of individuals aged over 50 years with new-onset diabetes have diabetes secondary to pancreatic ductal adenocarcinoma.
“Approximately 0·8–1% of individuals aged over 50 years with new-onset diabetes have diabetes secondary to pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
For newly identified high-risk groups such as patients with new-onset diabetes, there are no established guidelines or screening programmes.
“For the newly identified high-risk groups (such as patients with new-onset diabetes), there are no established guidelines or screening programmes.”
The paper relies on this without support.
Despite thousands of published papers, no single candidate biomarker has translated to clinical use for the early detection of pancreatic ductal adenocarcinoma.
“However, despite thousands of published papers, no single candidate biomarker has translated to clinical use for the early detection of pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
The low incidence of pancreatic ductal adenocarcinoma makes acquiring the quantity of samples necessary for biomarker development difficult, requiring large national and international collaborations.
“The low incidence of pancreatic ductal adenocarcinoma means that acquiring the quantity of samples necessary for biomarker development is not easy, and large national and international collaborations are required.”
The paper relies on this without support.
Currently, biomarker studies do not account well for the finding that a high proportion of patients with pancreatic ductal adenocarcinoma have diabetes, so emerging biomarkers could have an association with diabetes rather than with pancreatic ductal adenocarcinoma.
“Currently, biomarker studies do not account well for the finding that a high proportion of patients with pancreatic ductal adenocarcinoma have diabetes;50 thus, emerging biomarkers could have an association with diabetes rather than with pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
A pronounced deficit in early detection studies for pancreatic ductal adenocarcinoma has been the absence of bespoke pre-diagnostic cohorts.
“Finally, a pronounced deficit in early detection studies for pancreatic ductal adenocarcinoma has been the absence of bespoke pre-diagnostic cohorts.”
The paper relies on this without support.
No biomarkers are currently validated for early detection of pancreatic ductal adenocarcinoma.
“Currently, there are no biomarkers validated for early detection of pancreatic ductal adenocarcinoma.”
The paper relies on this without support.
CA19-9 is elevated in benign and malignant diseases other than pancreatic ductal adenocarcinoma.
“and the marker is increased in other benign and malignant diseases.”
The paper relies on this without support.
CA19-9 is not expressed in people with a Lewis-negative genotype.
“CA19–9 is not expressed in individuals with a Lewis-negative genotype”
The paper relies on this without support.
Onset of diabetes after age 50 is the best available clinical marker for early detection of pancreatic ductal adenocarcinoma.
“Onset of diabetes after age 50 was chosen as the best clinical marker available for early detection of pancreatic ductal adenocarcinoma”
The paper relies on this without support.
Patients with pancreatic ductal adenocarcinoma first experience subtle, vague symptoms that can precede diagnosis by years.
“Because patients with pancreatic ductal adenocarcinoma first experience subtle, vague symptoms that can precede the diagnosis by years”
The paper relies on this without support.
Visual assessment by imaging physicians is qualitative, subjective, and prone to errors and intra-observer and inter-observer variability.
“However, visual assessment by imaging physicians is qualitative, subjective, and prone to errors and intra-observer and inter-observer variabilities.”
The paper relies on this without support.
Many distinguishing features of medical images are hidden from human observers.
“More importantly, many distinguishing features of images are hidden from human observers.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Current pancreatic cancer biomarkers lack sufficient sensitivity and specificity for clinical application.
“However, the current PC biomarkers lack sufficient sensitivity and specificity for clinical application 44,161,170.”
From Artificial intelligence in pancreatic cancer (2022) · cites this paper as [44]
The ‘Challenges and opportunities’ section says no candidate biomarker has entered clinical use for early detection and that single biomarkers will probably lack high sensitivity. ‘Current promising biomarkers for early detection’ also describes limitations of CA19-9 that undermine its use for screening. The claim is broader than the paper’s conclusion: the paper says CA19-9 is routinely used in pancreatic cancer management, so it does not support a lack of suitability for all clinical applications. (LLM, conf=0.87)
Experimental — accuracy not yet measuredDisease controls such as chronic pancreatitis are needed in biomarker studies because some biomarkers are present in both chronic pancreatitis and PDAC.
“Of note, the literature addresses the fact that disease controls such as chronic pancreatitis are needed in studies as there are several examples of biomarkers present in both chronic pancreatitis and PDAC.178”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [178]
The ‘Challenges and opportunities’ section says biomarker studies incorporate disease controls such as chronic pancreatitis to account for confounding. The ‘Current promising biomarkers’ section notes that CA19-9 can be elevated in benign diseases, but our copy does not give several examples of biomarkers present in both chronic pancreatitis and PDAC. (LLM, conf=0.84)
Experimental — accuracy not yet measuredChronic pancreatitis, especially in those who develop diabetes with chronic pancreatitis, has the highest proportional risk of developing PDAC.
“For example, chronic pancreatitis especially those who develop diabetes with chronic pancreatitis have the highest proportional risk of developing PDAC.178,179”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [178]
The 'Who should be screened?' section identifies chronic pancreatitis as a comorbidity in a high-risk group for pancreatic ductal adenocarcinoma. But the 'New-onset diabetes mellitus' section calls people with new-onset diabetes the highest-risk group for sporadic disease; it does not say that people who develop diabetes with chronic pancreatitis have the highest proportional risk. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPatients increasingly identified with pancreatic cysts are another risk population for PDAC.
“Another risk population are those patients who are increasingly identified with pancreatic cysts.178”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [178]
The “High-risk groups > Cystic lesions” section identifies certain pancreatic cysts as precursors to pancreatic ductal adenocarcinoma and says cysts are often detected incidentally. It also says many cysts have no risk of malignant transformation, and it does not establish that cysts are being identified increasingly over time. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPrediagnostic CT images provide critical morphological information associated with biological changes at the pre-cancer or early cancer stage, which can be extracted using AI and ML methods to predict PDAC.
“These prediagnostic CT images provide critical morphological information associated with biological changes at the pre-cancer or early cancer stage, which can be extracted using AI and ML methods to predict PDAC.178”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [178]
The section “Artificial intelligence-assisted CT methods and novel MRI methods” (page not available) says imaging can reveal morphological and biological changes, including precancerous changes in high-risk individuals. It also says deep learning *might* identify features in prediagnostic images to predict PDAC in the near future; the claim presents that predictive capability as already available. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Several studies show that the probability PDAC development can be further increased by including additional factors such as weight change, ethnicity, and lifestyle factors that are commonly contained in electronic medical records.
“Of note, several studies show that the probability PDAC development can be further increased by including additional factors such as weight change, ethnicity, and lifestyle factors that are commonly contained in electronic medical records.171–178”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [178]
The “Models based on electronic health records” section (page unavailable) describes studies using weight or BMI change and smoking to identify groups with elevated predicted PDAC risk. Ethnicity appears in a model based on research data, not an electronic-health-record model; that section also says some lifestyle details are not readily available in electronic health records. The source therefore supports risk prediction using some of these factors, but not the claim that all the listed factors are commonly available in electronic medical records. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMany circulating tumor-derived analytes (proteins, autoantibodies, metabolites, DNA, non-coding RNAs, extracellular vesicles) have been assessed for PDAC early detection.
“a multitude of circulating tumor-derived analytes (proteins, autoantibodies, metabolites, DNA, non-coding RNAs and extracellular vesicles, among others) have been assessed in the context of PDAC early detection39–41.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
One cited model does not fit the stated sensitivity pattern
MinorThe paper describes high specificity and low sensitivity as a consistent characteristic of electronic-health-record models, but its Minnesota example reports 78% sensitivity and 80% specificity. That example does not have low sensitivity relative to its specificity.
“A consistent performance characteristic of electronic health record models is high specificity and low sensitivity, leading to high false-negative rates.”
“A model based on patients with new-onset diabetes residing in Minnesota, USA, incorporated age at onset of diabetes and changes in weight and blood glucose to identify people with a 4·5% 3-year predicted risk of developing pancreatic ductal adenocarcinoma, with 78% sensitivity and 80% specificity (AUC 0·87).103”
The diabetes-model citations are reversed
MinorThe paragraph assigns reference 104 to the new-onset diabetes model and reference 105 to its application in pre-diabetes. The reference list identifies 104 as the pre-diabetes model and 105 as the new-onset diabetes model.
“Among individuals with new-onset diabetes, this model identifies a population with 5% 3-year predicted risk of pancreatic ductal adenocarcinoma, with 11% sensitivity and 99·7% specificity (AUC 0·82).104 The same model applied to individuals with pre-diabetes showed lower accuracy (AUC 0·71), but consistent direction of association with pancreatic ductal adenocarcinoma.105”
“104. Boursi B, Finkelman B, Giantonio BJ, A clinical prediction model to assess risk for pancreatic cancer among patients with pre-diabetes. Jour Clin Onc 2019; 36: e16226. 105. Boursi B, Finkelman B, Giantonio BJ, A clinical prediction model to assess risk for pancreatic cancer among patients with new-onset diabetes.”
Cites
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109 · see citing works
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280 · see citing works
Spencer, P. M., Cameron, J. L., & Lin, L. (2000) · Cited by 7,202 · see citing works
Rahib, L., Smith, B. D., Aizenberg, R., Rosenzweig, A. B., Fleshman, J. M., & Matrisian, L. M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0155 · Cited by 7,094 · see citing works
Allemani, C., Matsuda, T., Di Carlo, V., Harewood, R., Matz, M., Nikšić, M., Bonaventure, A., Valkov, M., Johnson, C. J., Estève, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)33326-3 · Cited by 6,145 · see citing works
Detection and localization of surgically resectable cancers with a multi-analyte blood test
Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L., Douville, C., Javed, A. A., Wong, F., Mattox, A., et al. (2018) · Science · doi:10.1126/science.aar3247 · Cited by 2,783 · see citing works
Self-citationDistant metastasis occurs late during the genetic evolution of pancreatic cancer
Yachida, S., Jones, S., Bozic, I., Antal, T., Leary, R., Fu, B., Kamiyama, M., Hruban, R. H., Eshleman, J. R., Nowak, M. A., et al. (2010) · Nature · doi:10.1038/nature09515 · Cited by 2,502 · see citing works
Kamisawa, T., Wood, L. D., Itoi, T., & Takaori, K. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00141-0 · Cited by 2,212 · see citing works
Riboli, E., Hunt, K., Slimani, N., Ferrari, P., Norat, T., Fahey, M., Charrondière, U., Hémon, B., Casagrande, C., Vignat, J., et al. (2002) · Public Health Nutrition · doi:10.1079/phn2002394 · Cited by 1,866 · see citing works
Saam, J. R., Arnell, C., Theisen, A. P., Moyes, K., Marino, I., Roundy, K. M., & WENSTRUP, R. J. (2015) · Oncology · doi:10.1159/000437307 · Cited by 1,533 · see citing works
European evidence-based guidelines on pancreatic cystic neoplasms
The European Study Group on Cystic Tumours of the Pancreas (2018) · Gut · doi:10.1136/gutjnl-2018-316027 · Cited by 1,417 · see citing works
The patterns and dynamics of genomic instability in metastatic pancreatic cancer
Campbell, P. J., Yachida, S., Mudie, L. J., Stephens, P. J., Pleasance, E. D., Stebbings, L. A., Morsberger, L. A., Latimer, C., McLaren, S., Lin, M.-L., et al. (2010) · Nature · doi:10.1038/nature09460 · Cited by 1,317 · see citing works
Therapeutic developments in pancreatic cancer: current and future perspectives
Neoptolemos, J. P., Kleeff, J., Michl, P., Costello, E., Greenhalf, W., & Palmer, D. H. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0005-x · Cited by 1,170 · see citing works
Self-citationVege, S. S., Ziring, B., Jain, R., Moayyedi, P., Adams, M. A., Dorn, S. D., Dudley-Brown, S. L., Flamm, S. L., Gellad, Z. F., Gruss, C. B., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.01.015 · Cited by 1,138 · see citing works
Lin, J. S., Bowles, E. J. A., Williams, S. B., & Morrison, C. C. (2017) · JAMA · doi:10.1001/jama.2017.0562 · Cited by 1,082 · see citing works
Arnold, M., Rutherford, M. J., Bardot, A., Ferlay, J., Andersson, T. M.-L., Myklebust, T. Å., Tervonen, H., Thursfield, V., Ransom, D., Shack, L., et al. (2019) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30456-5 · Cited by 1,063 · see citing works
Optimizing the outcomes of pancreatic cancer surgery
Strobel, O., Neoptolemos, J., Jäger, D., & Büchler, M. W. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0112-1 · Cited by 943 · see citing works
Early Detection of Pancreatic Cancer: Opportunities and Challenges
Singhi, A. D., Koay, E. J., Chari, S. T., & Maitra, A. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.01.259 · Cited by 841 · see citing works
Self-citationCanto, M. I., Harinck, F., Hruban, R. H., Offerhaus, G. J., Poley, J.-W., Kamel, I., Nio, Y., Schulick, R. S., Bassi, C., Kluijt, I., et al. (2013) · Gut · doi:10.1136/gutjnl-2012-303108 · Cited by 784 · see citing works
Diabetes mellitus and risk of pancreatic cancer: A meta-analysis of cohort studies
Ben, Q., Xu, M., Ning, X., Liu, J., Hong, S., Huang, W., Zhang, H., & Li, Z. (2011) · European Journal of Cancer · doi:10.1016/j.ejca.2011.03.003 · Cited by 685 · see citing works
Prevalence and Clinical Profile of Pancreatic Cancer–Associated Diabetes Mellitus
Pannala, R., Leirness, J. B., Bamlet, W. R., Basu, A., Petersen, G. M., & Chari, S. T. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.01.039 · Cited by 621 · see citing works
Prevalence of incidental pancreatic cysts in the adult population on MR imaging
Lee, K. S., Sekhar, A., Rofsky, N. M., & Pedrosa, I. (2010) · American Journal of Gastroenterology · doi:10.1038/ajg.2010.122 · Cited by 610 · see citing works
Hu, C., Hart, S. N., Polley, E. C., Gnanaolivu, R., Shimelis, H., Lee, K. Y., Lilyquist, J., Na, J., Moore, R., Antwi, S. O., et al. (2018) · JAMA · doi:10.1001/jama.2018.6228 · Cited by 577 · see citing works
Type 3c (pancreatogenic) diabetes mellitus secondary to chronic pancreatitis and pancreatic cancer
Hart, P. A., Bellin, M. D., Andersen, D. K., Bradley, D., Cruz-Monserrate, Z., Forsmark, C. E., Goodarzi, M. O., Habtezion, A., Korc, M., Kudva, Y. C., et al. (2016) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(16)30106-6 · Cited by 551 · see citing works
Self-citationImpact of Sarcopenia on Outcomes Following Resection of Pancreatic Adenocarcinoma
Peng, P., Hyder, O., Firoozmand, A., Kneuertz, P., Schulick, R. D., Huang, D., Makary, M., Hirose, K., Edil, B., Choti, M. A., et al. (2012) · Journal of Gastrointestinal Surgery · doi:10.1007/s11605-012-1923-5 · Cited by 546 · see citing works
Screening for early pancreatic neoplasia in high-risk individuals: a prospective controlled study
Canto, M. I., Goggins, M., Hruban, R. H., Petersen, G. M., Giardiello, F. M., Yeo, C., Fishman, E. K., Brune, K., Axilbund, J., Griffin, C., et al. (2006) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2006.02.005 · Cited by 524 · see citing works
Diabetes, pancreatogenic diabetes, and pancreatic cancer
Andersen, D. K., Korc, M., Petersen, G. M., Eibl, G., Li, D., Rickels, M. R., Chari, S. T., & Abbruzzese, J. L. (2017) · Diabetes · doi:10.2337/db16-1477 · Cited by 516 · see citing works
Self-citationEuropean experts consensus statement on cystic tumours of the pancreas
Del Chiaro, M., Verbeke, C., Salvia, R., Klöppel, G., Werner, J., McKay, C., Friess, H., Manfredi, R., Van Cutsem, E., Löhr, M., et al. (2013) · Digestive and Liver Disease · doi:10.1016/j.dld.2013.01.010 · Cited by 498 · see citing works
BRCA2 germline mutations in familial pancreatic carcinoma
Hahn, S. A., Greenhalf, B., Ellis, I., Sina-Frey, M., Rieder, H., Korte, B., Gerdes, B., Kress, R., Ziegler, A., Raeburn, J. A., et al. (2003) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/95.3.214 · Cited by 480 · see citing works
Springer, S., Wang, Y., Dal Molin, M., Masica, D. L., Jiao, Y., Kinde, I., Blackford, A., Raman, S. P., Wolfgang, C. L., Tomita, T., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.07.041 · Cited by 477 · see citing works
Self-citationScreening for pancreatic neoplasia in high-risk individuals: an EUS-based approach
Canto, M. I., Goggins, M., Yeo, C. J., Griffin, C., Axilbund, J. E., Brune, K., Ali, S. Z., Jagannath, S., Petersen, G. M., Fishman, E. K., et al. (2004) · Clinical Gastroenterology and Hepatology · doi:10.1016/s1542-3565(04)00244-7 · Cited by 448 · see citing works
Lyratzopoulos, G., Neal, R. D., Barbiere, J. M., Rubin, G. P., & Abel, G. A. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(12)70041-4 · Cited by 425 · see citing works
US Preventive Services Task Force, Owens, D. K., Davidson, K. W., Krist, A. H., Barry, M. J., Cabana, M., Caughey, A. B., Curry, S. J., Doubeni, C. A., Epling, J. W., et al. (2019) · JAMA · doi:10.1001/jama.2019.10232 · Cited by 419 · see citing works
Valsangkar, N. P., Morales-Oyarvide, V., Thayer, S. P., Ferrone, C. R., Wargo, J. A., Warshaw, A. L., & Fernández-del Castillo, C. (2012) · Surgery · doi:10.1016/j.surg.2012.05.033 · Cited by 418 · see citing works
Canto, M. I., Almario, J. A., Schulick, R. D., Yeo, C. J., Klein, A., Blackford, A., Shin, E. J., Sanyal, A., Yenokyan, G., Lennon, A. M., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.05.035 · Cited by 414 · see citing works
Self-citationSinghi, A. D., McGrath, K., Brand, R. E., Khalid, A., Zeh, H. J., Chennat, J. S., Fasanella, K. E., Papachristou, G. I., Slivka, A., Bartlett, D. L., et al. (2018) · Gut · doi:10.1136/gutjnl-2016-313586 · Cited by 405 · see citing works
Model to determine risk of pancreatic cancer in patients with new-onset diabetes
Sharma, A., Kandlakunta, H., Nagpal, S. J. S., Feng, Z., Hoos, W., Petersen, G. M., & Chari, S. T. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.05.023 · Cited by 394 · see citing works
Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations
Rebbeck, T. R., Friebel, T. M., Friedman, E., Hamann, U., Huo, D., Kwong, A., Oláh, E., Olopade, O. I., Solano, A. R., Teo, S., et al. (2018) · Human Mutation · doi:10.1002/humu.23406 · Cited by 312 · see citing works
A mouse-human phase 1 co-clinical trial of a protease-activated fluorescent probe for imaging cancer
Whitley, M. J., Cardona, D. M., Lazarides, A. L., Spasojevic, I., Ferrer, J. M., Cahill, J., Lee, C.-L., Snuderl, M., Blazer, D. G., Hwang, E. S., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad0293 · Cited by 296 · see citing works
Sahora, K., Mino-Kenudson, M., Brugge, W., Thayer, S. P., Ferrone, C. R., Sahani, D., Pitman, M. B., Warshaw, A. L., Lillemoe, K. D., & Fernandez-del Castillo, C. F. (2013) · Annals of Surgery · doi:10.1097/sla.0b013e3182a18f48 · Cited by 285 · see citing works
PALB2 mutations in European familial pancreatic cancer families
Slater, E., Langer, P., Niemczyk, E., Strauch, K., Butler, J., Habbe, N., Neoptolemos, J., Greenhalf, W., & Bartsch, D. (2010) · Clinical Genetics · doi:10.1111/j.1399-0004.2010.01425.x · Cited by 278 · see citing works
Self-citationDetection of early pancreatic ductal adenocarcinoma with thrombospondin-2 and CA19-9 blood markers
Kim, J., Bamlet, W. R., Oberg, A. L., Chaffee, K. G., Donahue, G., Cao, X.-J., Chari, S., Garcia, B. A., Petersen, G. M., & Zaret, K. S. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah5583 · Cited by 269 · see citing works
Ghaneh, P., Kleeff, J. H., Halloran, C. M., Raraty, M. G. T., Jackson, R., Melling, J., Jones, O., Palmer, D. H., Cox, T. F., Smith, C., et al. (2017) · Annals of Surgery · doi:10.1097/sla.0000000000002557 · Cited by 258 · see citing works
Self-citationPoley, J. W., Kluijt, I., Gouma, D. J., Harinck, F., Wagner, A., Aalfs, C., van Eijck, C. H. J., Cats, A., Kuipers, E. J., Nio, Y., et al. (2009) · The American Journal of Gastroenterology · doi:10.1038/ajg.2009.276 · Cited by 257 · see citing works
The incidence of pancreatic cancer in BRCA1 and BRCA2 mutation carriers
T. H. B. C. S. G., Iqbal, J., Ragone, A., Lubinski, J., Lynch, H. T., Moller, P., Ghadirian, P., Foulkes, W. D., Armel, S., Eisen, A., et al. (2012) · British Journal of Cancer · doi:10.1038/bjc.2012.483 · Cited by 252 · see citing works
Gangi, S., Fletcher, J. G., Nathan, M. A., Christensen, J. A., Harmsen, W. S., Crownhart, B. S., & Chari, S. T. (2004) · American Journal of Roentgenology · doi:10.2214/ajr.182.4.1820897 · Cited by 249 · see citing works
Screening for Pancreatic Cancer: Why, How, and Who?
Poruk, K. E., Firpo, M. A., Adler, D. G., & Mulvihill, S. J. (2013) · Annals of Surgery · doi:10.1097/sla.0b013e31825ffbfb · Cited by 249 · see citing works
(1993) · PubMed · Cited by 222 · see citing works
A multimodality test to guide the management of patients with a pancreatic cyst
Springer, S., Masica, D. L., Dal Molin, M., Douville, C., Thoburn, C. J., Afsari, B., Li, L., Cohen, J. D., Thompson, E., Allen, P. J., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aav4772 · Cited by 217 · see citing works
Self-citationDiagnosis of cancer as an emergency: a critical review of current evidence
Zhou, Y., Abel, G. A., Hamilton, W., Pritchard-Jones, K., Gross, C. P., Walter, F. M., Renzi, C., Johnson, S., McPhail, S., Elliss-Brookes, L., et al. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.155 · Cited by 214 · see citing works
Molecular markers of early pancreatic cancer
Goggins, M. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.19.711 · Cited by 214 · see citing works
Successively activatable ultrasensitive probe for imaging tumour acidity and hypoxia
Zheng, X., Mao, H., Huo, D., Wu, W., Liu, B., & Jiang, X. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0057 · Cited by 210 · see citing works
Hippisley-Cox, J., & Coupland, C. (2012) · British Journal of General Practice · doi:10.3399/bjgp12x616355 · Cited by 208 · see citing works
Sharma, A., Smyrk, T. C., Levy, M. J., Topazian, M. A., & Chari, S. T. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.04.025 · Cited by 204 · see citing works
Netnography: A Method Specifically Designed to Study Cultures and Communities Online
Bowler, G. (2014) · The Qualitative Report · doi:10.46743/2160-3715/2010.1341 · Cited by 204 · see citing works
Identification of a three-biomarker panel in urine for early detection of pancreatic adenocarcinoma
Radon, T. P., Massat, N. J., Jones, R., Alrawashdeh, W., Dumartin, L., Ennis, D., Duffy, S. W., Kocher, H. M., Pereira, S. P., Guarner (posthumous), L., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-2467 · Cited by 203 · see citing works
Self-citationBoursi, B., Finkelman, B., Giantonio, B. J., Haynes, K., Rustgi, A. K., Rhim, A. D., Mamtani, R., & Yang, Y.-X. (2017) · Gastroenterology · doi:10.1053/j.gastro.2016.11.046 · Cited by 202 · see citing works
Verna, E. C., Hwang, C., Stevens, P. D., Rotterdam, H., Stavropoulos, S. N., Sy, C. D., Prince, M. A., Chung, W. K., Fine, R. L., Chabot, J. A., et al. (2010) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-3209 · Cited by 201 · see citing works
Family history and the risk of liver, gallbladder, and pancreatic cancer.
Fernández, E., Vecchia, C. L., D’Avanzo, B., Negri, E., & Franceschi, S. (1994) · PubMed · Cited by 200 · see citing works
O'Brien, D. P., Sandanayake, N. S., Jenkinson, C., Gentry-Maharaj, A., Apostolidou, S., Fourkala, E.-O., Camuzeaux, S., Blyuss, O., Gunu, R., Dawnay, A., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0365 · Cited by 200 · see citing works
Self-citationChu, L. C., Park, S., Kawamoto, S., Fouladi, D. F., Shayesteh, S., Zinreich, E. S., Graves, J. S., Horton, K. M., Hruban, R. H., Yuille, A. L., et al. (2019) · American Journal of Roentgenology · doi:10.2214/ajr.18.20901 · Cited by 193 · see citing works
Transport properties of pancreatic cancer describe gemcitabine delivery and response
Koay, E. J., Truty, M. J., Cristini, V., Thomas, R. M., Chen, R., Chatterjee, D., Kang, Y., Bhosale, P. R., Tamm, E. P., Crane, C. H., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73455 · Cited by 184 · see citing works
Self-citationStapley, S., Peters, T. J., Neal, R. D., Rose, P. W., Walter, F. M., & Hamilton, W. (2012) · British Journal of Cancer · doi:10.1038/bjc.2012.190 · Cited by 183 · see citing works
Pelaez-Luna, M., Takahashi, N., Fletcher, J. G., & Chari, S. T. (2007) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2007.01480.x · Cited by 180 · see citing works
Ozola Zalite, I., Zykus, R., Francisco Gonzalez, M., Saygili, F., Pukitis, A., Gaujoux, S., Charnley, R. M., & Lyadov, V. (2015) · Pancreatology · doi:10.1016/j.pan.2014.11.006 · Cited by 174 · see citing works
Multicenter study of serous cystic neoplasm of the Japan pancreas society
Kimura, W., Moriya, T., Hanada, K., Abe, H., Yanagisawa, A., Fukushima, N., Ohike, N., Shimizu, M., Hatori, T., Fujita, N., et al. (2012) · Pancreas · doi:10.1097/mpa.0b013e31822a27db · Cited by 170 · see citing works
Prevalence of Diabetes Mellitus in Pancreatic Cancer Compared to Common Cancers
Aggarwal, G., Kamada, P., & Chari, S. T. (2013) · Pancreas · doi:10.1097/mpa.0b013e3182592c96 · Cited by 167 · see citing works
Serum biomarker signature-based liquid biopsy for diagnosis of early-stage pancreatic cancer
Mellby, L. D., Nyberg, A. P., Johansen, J. S., Wingren, C., Nordestgaard, B. G., Bojesen, S. E., Mitchell, B. L., Sheppard, B. C., Sears, R. C., & Borrebaeck, C. A. K. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.6658 · Cited by 159 · see citing works
Pancreatic Cancer Prediction Through an Artificial Neural Network
Muhammad, W., Hart, G. R., Nartowt, B., Farrell, J. J., Johung, K., Liang, Y., & Deng, J. (2019) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2019.00002 · Cited by 159 · see citing works
Recruitment to multicentre trials—lessons from UKCTOCS: descriptive study
Menon, U., Gentry-Maharaj, A., Ryan, A., Sharma, A., Burnell, M., Hallett, R., Lewis, S., Lopez, A., Godfrey, K., Oram, D., et al. (2008) · BMJ · doi:10.1136/bmj.a2079 · Cited by 151 · see citing works
Klein, A. P., Lindström, S., Mendelsohn, J. B., Steplowski, E., Arslan, A. A., Bueno-de-Mesquita, H. B., Fuchs, C. S., Gallinger, S., Gross, M., Helzlsouer, K., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072311 · Cited by 148 · see citing works
Self-citationGerman national case collection for familial pancreatic cancer (FaPaCa): ten years experience
Schneider, R., Slater, E. P., Sina, M., Habbe, N., Fendrich, V., Matthäi, E., Langer, P., & Bartsch, D. K. (2011) · Familial Cancer · doi:10.1007/s10689-010-9414-x · Cited by 143 · see citing works
Altered exocrine function can drive adipose wasting in early pancreatic cancer
Danai, L. V., Babic, A., Rosenthal, M. H., Dennstedt, E. A., Muir, A., Lien, E. C., Mayers, J. R., Tai, K., Lau, A. N., Jones-Sali, P., et al. (2018) · Nature · doi:10.1038/s41586-018-0235-7 · Cited by 141 · see citing works
Henrikson, N. B., Aiello Bowles, E. J., Blasi, P. R., Morrison, C. C., Nguyen, M., Pillarisetty, V. G., & Lin, J. S. (2019) · JAMA · doi:10.1001/jama.2019.6190 · Cited by 140 · see citing works
Hruban, R. H., Petersen, G. M., Goggins, M., Tersmette, A. C., Offerhaus, G. J. A., Falatko, F., Yeo, C. J., & Kern, S. E. (1999) · Annals of Oncology · doi:10.1093/annonc/10.suppl_4.s69 · Cited by 134 · see citing works
Anticipation in familial pancreatic cancer
McFaul, C. D., Greenhalf, W., Earl, J., Howes, N., Neoptolemos, J. P., Kress, R., Sina-Frey, M., Rieder, H., Hahn, S., & Bartsch, D. K. (2006) · Gut · doi:10.1136/gut.2005.065045 · Cited by 132 · see citing works
Self-citationUltrasensitive tumour-penetrating nanosensors of protease activity
Kwon, E. J., Dudani, J. S., & Bhatia, S. N. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0054 · Cited by 131 · see citing works
Fischer, C. G., Beleva Guthrie, V., Braxton, A. M., Zheng, L., Wang, P., Song, Q., Griffin, J. F., Chianchiano, P. E., Hosoda, W., Niknafs, N., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.06.001 · Cited by 129 · see citing works
Self-citationGlycoprotein biomarker panel for pancreatic cancer discovered by quantitative proteomics analysis
Nie, S., Lo, A., Wu, J., Zhu, J., Tan, Z., Simeone, D. M., Anderson, M. A., Shedden, K. A., Ruffin, M. T., & Lubman, D. M. (2014) · Journal of Proteome Research · doi:10.1021/pr400967x · Cited by 128 · see citing works
Gemenetzis, G., Bagante, F., Griffin, J. F., Rezaee, N., Javed, A. A., Manos, L. L., Lennon, A. M., Wood, L. D., Hruban, R. H., Zheng, L., et al. (2017) · Annals of Surgery · doi:10.1097/sla.0000000000001988 · Cited by 127 · see citing works
Self-citationKoay, E. J., Lee, Y., Cristini, V., Lowengrub, J. S., Kang, Y., Lucas, F. A. S., Hobbs, B. P., Ye, R., Elganainy, D., Almahariq, M., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-3668 · Cited by 110 · see citing works
Self-citationKrishna, S. G., Hart, P. A., Malli, A., Kruger, A. J., McCarthy, S. T., El-Dika, S., Walker, J. P., Dillhoff, M. E., Manilchuk, A., Schmidt, C. R., et al. (2020) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2019.06.010 · Cited by 110 · see citing works
Self-citationPredicting non-melanoma skin cancer via a multi-parameterized artificial neural network
Roffman, D., Hart, G., Girardi, M., Ko, C. J., & Deng, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-19907-9 · Cited by 104 · see citing works
Napoleon, B., Palazzo, M., Lemaistre, A.-I., Caillol, F., Palazzo, L., Aubert, A., Buscail, L., Maire, F., Morellon, B. M., Pujol, B., et al. (2019) · Endoscopy · doi:10.1055/a-0732-5356 · Cited by 98 · see citing works
Maitra, A., Sharma, A., Brand, R. E., Van Den Eeden, S. K., Fisher, W. E., Hart, P. A., Hughes, S. J., Mather, K. J., Pandol, S. J., Park, W. G., et al. (2018) · Pancreas · doi:10.1097/mpa.0000000000001169 · Cited by 93 · see citing works
Self-citationJenkinson, C., Elliott, V. L., Evans, A., Oldfield, L., Jenkins, R. E., O'Brien, D. P., Apostolidou, S., Gentry-Maharaj, A., Fourkala, E.-O., Jacobs, I. J., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0879 · Cited by 87 · see citing works
Self-citationModelling the benefits of early diagnosis of pancreatic cancer using a biomarker signature
Ghatnekar, O., Andersson, R., Svensson, M., Persson, U., Ringdahl, U., Zeilon, P., & Borrebaeck, C. A. K. (2013) · International Journal of Cancer · doi:10.1002/ijc.28256 · Cited by 85 · see citing works
International registries of families at high risk of pancreatic cancer
Greenhalf, W., Malats, N., Nilsson, M., Bartsch, D., & Neoptolemos, J. (2008) · Pancreatology · doi:10.1159/000159843 · Cited by 85 · see citing works
Self-citationKeane, M. G., Horsfall, L., Rait, G., & Pereira, S. P. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005720 · Cited by 81 · see citing works
Self-citationChen, M.-J., Chang, W.-H., Lin, C., Liu, C., Wang, T.-E., Chu, C., Shih, S., & Chen, Y.-J. (2008) · Pancreatology · doi:10.1159/000159214 · Cited by 74 · see citing works
Hsieh, M. H., Sun, L.-M., Lin, C.-L., Hsieh, M.-J., Hsu, C.-Y., & Kao, C.-H. (2018) · Cancer Management and Research · doi:10.2147/cmar.s180791 · Cited by 71 · see citing works
Tonack, S., Jenkinson, C., Cox, T., Elliott, V, Jenkins, R. E., Kitteringham, N. R., Greenhalf, W., Shaw, V, Michalski, C. W., Friess, H., et al. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.150 · Cited by 70 · see citing works
Self-citationBridge, C. P., Rosenthal, M., Wright, B., Kotecha, G., Fintelmann, F., Troschel, F., Miskin, N., Desai, K., Wrobel, W., Babic, A., et al. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01201-4_22 · Cited by 69 · see citing works
Kang, M., Qin, W., Buya, M., Dong, X., Zheng, W., Lu, W., Chen, J., Guo, Q., & Wu, Y. (2016) · Cancer Letters · doi:10.1016/j.canlet.2015.12.031 · Cited by 63 · see citing works
Risch, H. A., Yu, H., Lu, L., & Kidd, M. S. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv026 · Cited by 62 · see citing works
Family history of cancer, Ashkenazi Jewish ancestry, and pancreatic cancer risk
Hamada, T., Yuan, C., Yurgelun, M. B., Perez, K., Khalaf, N., Morales-Oyarvide, V., Babic, A., Nowak, J. A., Rubinson, D. A., Giannakis, M., et al. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0426-5 · Cited by 61 · see citing works
Do early symptoms of pancreatic cancer exist that can allow an earlier diagnosis?
Gullo, L., Tomassetti, P., Migliori, M., Casadei, R., & Marrano, D. (2001) · Pancreas · doi:10.1097/00006676-200103000-00017 · Cited by 60 · see citing works
Serrano, J., Andersen, D. K., Forsmark, C. E., Pandol, S. J., Feng, Z., Srivastava, S., & Rinaudo, J. A. S. (2018) · Pancreas · doi:10.1097/mpa.0000000000001167 · Cited by 57 · see citing works
Self-citationPancreatic cancer in Lynch syndrome patients
Bujanda, L., & Herreros-Villanueva, M. (2017) · Journal of Cancer · doi:10.7150/jca.20750 · Cited by 57 · see citing works
Grocock, C. J., Rebours, V., Delhaye, M. N., Andren-Sandberg, A., Weiss, F. U., Mountford, R., Harcus, M. J., Niemczyck, E., Vitone, L. J., Dodd, S., et al. (2010) · Gut · doi:10.1136/gut.2009.186817 · Cited by 57 · see citing works
Self-citationA new polymorphism for the RI22H mutation in hereditary pancreatitis
Howes, N., Greenhalf, W., Rutherford, S., O'Donnell, M., Mountford, R., Ellis, I., Whitcomb, D., Imrie, C., Drumm, B., & Neoptolemos, J. P. (2001) · Gut · doi:10.1136/gut.48.2.247 · Cited by 56 · see citing works
Self-citationEarly Detection of Sporadic Pancreatic Cancer: Strategic Map for Innovation—A White Paper
Kenner, B. J., Chari, S. T., Cleeter, D. F., & Go, V. L. W. (2015) · Pancreas · doi:10.1097/mpa.0000000000000369 · Cited by 56 · see citing works
Familial pancreatic adenocarcinoma
Petersen, G. M. (2015) · Hematology/Oncology Clinics of North America · doi:10.1016/j.hoc.2015.04.007 · Cited by 53 · see citing works
Hart, P. A., Baichoo, E., Bi, Y., Hinton, A., Kudva, Y. C., & Chari, S. T. (2015) · Pancreatology · doi:10.1016/j.pan.2015.02.006 · Cited by 51 · see citing works
Self-citationScreening of High-Risk Families for Pancreatic Cancer
Greenhalf, W., Grocock, C., Harcus, M., & Neoptolemos, J. P. (2009) · Pancreatology · doi:10.1159/000210262 · Cited by 50 · see citing works
Self-citationThe potential diagnostic value of serum microRNA signature in patients with pancreatic cancer
Johansen, J. S., Calatayud, D., Albieri, V., Schultz, N. A., Dehlendorff, C., Werner, J., Jensen, B. V., Pfeiffer, P., Bojesen, S. E., Giese, N., et al. (2016) · International Journal of Cancer · doi:10.1002/ijc.30291 · Cited by 47 · see citing works
Hart, P. A., Andersen, D. K., Mather, K. J., Castonguay, A. C., Bajaj, M., Bellin, M. D., Bradley, D., Contreras, N., Habtezion, A., Korc, M., et al. (2018) · Pancreas · doi:10.1097/mpa.0000000000001168 · Cited by 46 · see citing works
Self-citationYan, L., Tonack, S., Smith, R., Dodd, S., Jenkins, R. E., Kitteringham, N., Greenhalf, W., Ghaneh, P., Neoptolemos, J. P., & Costello, E. (2009) · Journal of Proteome Research · doi:10.1021/pr800451h · Cited by 44 · see citing works
Self-citationCombined use of CEMIP and CA 19-9 enhances diagnostic accuracy for pancreatic cancer
Lee, H. S., Jang, C. Y., Kim, S. A., Park, S. B., Jung, D. E., Kim, B. O., Kim, H. Y., Chung, M. J., Park, J. Y., Bang, S., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-21823-x · Cited by 44 · see citing works
Amer, A. M., Zaid, M., Chaudhury, B., Elganainy, D., Lee, Y., Wilke, C. T., Cloyd, J., Wang, H., Maitra, A., Wolff, R. A., et al. (2018) · Cancer · doi:10.1002/cncr.31251 · Cited by 43 · see citing works
Self-citationBiomarkers for early diagnosis of pancreatic cancer
Jenkinson, C., Earl, J., Ghaneh, P., Halloran, C., Carrato, A., Greenhalf, W., Neoptolemos, J., & Costello, E. (2015) · Expert Review of Gastroenterology & Hepatology · doi:10.1586/17474124.2015.965145 · Cited by 42 · see citing works
Self-citationRisk of non-melanoma cancers in first-degree relatives of CDKN2A mutation carriers
Mukherjee, B., DeLancey, J. O., Raskin, L., Everett, J., Jeter, J., Begg, C. B., Orlow, I., Berwick, M., Armstrong, B. K., Kricker, A., et al. (2012) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs221 · Cited by 42 · see citing works
A clinical prediction model to assess risk for pancreatic cancer among patients with prediabetes
Boursi, B., Finkelman, B. S., Giantonio, B. J., Haynes, K., Rustgi, A. K., Rhim, A. D., Mamtani, R., & Yang, Y.-X. (2021) · European Journal of Gastroenterology & Hepatology · doi:10.1097/meg.0000000000002052 · Cited by 39 · see citing works
Sheel, A. R. G., Harrison, S., Sarantitis, I., Nicholson, J. A., Hanna, T., Grocock, C., Raraty, M., Ramesh, J., Farooq, A., Costello, E., et al. (2019) · American Journal of Gastroenterology · doi:10.1038/s41395-018-0395-y · Cited by 36 · see citing works
Self-citationTanaka, M., Heckler, M., Liu, B., Heger, U., Hackert, T., & Michalski, C. W. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.12.034 · Cited by 36 · see citing works
Is screening for pancreatic cancer in high-risk individuals one step closer or a fool's errand?
Hart, P. A., & Chari, S. T. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.09.024 · Cited by 32 · see citing works
Self-citationBaecker, A., Kim, S., Risch, H. A., Nuckols, T. K., Wu, B. U., Hendifar, A. E., Pandol, S. J., Pisegna, J. R., & Jeon, C. Y. (2019) · PLOS ONE · doi:10.1371/journal.pone.0218580 · Cited by 31 · see citing works
Self-citationLe, H., Ziogas, A., Rhee, J. M., Lee, J. G., Lipkin, S. M., & Zell, J. A. (2008) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-08-0417 · Cited by 30 · see citing works
Development and Validation of a Prediction Model to Estimate Individual Risk of Pancreatic Cancer
Yu, A., Woo, S. M., Joo, J., Yang, H.-R., Lee, W. J., Park, S.-J., & Nam, B.-H. (2016) · PLOS ONE · doi:10.1371/journal.pone.0146473 · Cited by 28 · see citing works
A prospective trial of CONfocal endomicroscopy in CYSTic lesions of the pancreas: CONCYST-01
Keane, M. G., Wehnert, N., Perez-Machado, M., Fusai, G. K., Thorburn, D., Oppong, K. W., Carroll, N., Metz, A. J., & Pereira, S. P. (2019) · Endoscopy International Open · doi:10.1055/a-0957-2976 · Cited by 27 · see citing works
Self-citationNo evidence for germline mutations of the LKB1/STK11 gene in familial pancreatic carcinoma
Grützmann, R., McFaul, C., Bartsch, D. K., Sina-Frey, M., Rieder, H., Koch, R., McCarthy, E., Greenhalf, W., Neoptolemos, J. P., Saeger, H. D., et al. (2004) · Cancer Letters · doi:10.1016/j.canlet.2004.06.012 · Cited by 23 · see citing works
Self-citationTumour spectrum in non-BRCA hereditary breast cancer families in Sweden
Wendt, C., Lindblom, A., Arver, B., von Wachenfeldt, A., & Margolin, S. (2015) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-015-0036-z · Cited by 16 · see citing works
(2007) · PubMed · Cited by 15 · see citing works
Self-citationA multistate modelling approach for pancreatic cancer development in genetically high-risk families
Kolamunnage-Dona, R., Vitone, L., Greenhalf, W., Henderson, R., & Williamson, P. R. (2013) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2012.01051.x · Cited by 3 · see citing works
Self-citationA clinical prediction model to assess risk for pancreatic cancer among patients with pre-diabetes
Boursi, S. B., Finkelman, B., Giantonio, B. J., Haynes, K., Rustgi, A. K., Rhim, A., Mamtani, R., & Yang, Y.-X. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2018.36.15_suppl.e16226 · Cited by 3 · see citing works
Flagged first, then by citations
2 of the 127 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Mizrahi, J. D., Surana, R., Valle, J. W., & Shroff, R. T. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30974-0 · Cited by 2,559 · see citing works
Pancreatic cancer: Advances and challenges
Halbrook, C. J., Lyssiotis, C. A., Pasca di Magliano, M., & Maitra, A. (2023) · Cell · doi:10.1016/j.cell.2023.02.014 · Cited by 1,321 · see citing works
Pancreatic cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up
Conroy, T., Pfeiffer, P., Vilgrain, V., Lamarca, Á., Seufferlein, T. T. W., O'Reilly, E. M., Hackert, T., Golan, T., Prager, G. W., Haustermans, K. M., et al. (2023) · Annals of Oncology · doi:10.1016/j.annonc.2023.08.009 · Cited by 681 · see citing works
Proteogenomic characterization of pancreatic ductal adenocarcinoma
Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., et al. (2021) · Cell · doi:10.1016/j.cell.2021.08.023 · Cited by 578 · see citing works
Stoop, T. F., Javed, A. A., Oba, A., Koerkamp, B. G., Seufferlein, T. T. W., Wilmink, J. W., & Besselink, M. G. (2025) · The Lancet · doi:10.1016/s0140-6736(25)00261-2 · Cited by 544 · see citing works
Advances in the epidemiology of pancreatic cancer: Trends, risk factors, screening, and prognosis
Cai, J., Chen, H., Lu, M., Zhang, Y., Lu, B., You, L., Zhang, T., Dai, M., & Zhao, Y. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.06.027 · Cited by 475 · see citing works
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Cao, K., Xia, Y., Yao, J., Han, X., Lambert, L., Zhang, T., Tang, W., Jin, G., Jiang, H., Fang, X., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02640-w · Cited by 358 · see citing works
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02332-5 · Cited by 349 · see citing works
Microenvironmental Determinants of Pancreatic Cancer
Heßmann, E., Buchholz, S., Demir, İ. E., Singh, S. K., Gress, T. M., Ellenrieder, V., & Neeße, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00042.2019 · Cited by 329 · see citing works
Lead-time trajectory of CA19-9 as an anchor marker for pancreatic cancer early detection
Fahrmann, J. F., Schmidt, C. M., Mao, X., Irajizad, E., Loftus, M., Zhang, J., Patel, N., Vykoukal, J., Dennison, J. B., Long, J. P., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2020.11.052 · Cited by 208 · see citing works
Radiomics Improves Cancer Screening and Early Detection
Gillies, R. J., & Schabath, M. B. (2020) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-20-0075 · Cited by 159 · see citing works
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review
Kenner, B., Chari, S. T., Kelsen, D., Klimstra, D. S., Pandol, S. J., Rosenthal, M., Rustgi, A. K., Taylor, J. A., Yala, A., Abul-Husn, N., et al. (2021) · Pancreas · doi:10.1097/mpa.0000000000001762 · Cited by 158 · see citing works
Self-citationCasolino, R., Paiella, S., Azzolina, D., Beer, P. A., Corbo, V., Lorenzoni, G., Gregori, D., Golan, T., Braconi, C., Froeling, F. E. M., et al. (2021) · Journal of Clinical Oncology · doi:10.1200/jco.20.03238 · Cited by 144 · see citing works
Targeting PI3K/AKT/mTOR Signaling Pathway in Pancreatic Cancer: From Molecular to Clinical Aspects
Stanciu, S., Radu, F. I., Ștefani, C., Miricescu, D., Stănescu-Spînu, I.-I., Greabu, M., Totan, A., & Jinga, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231710132 · Cited by 144 · see citing works
Artificial intelligence in pancreatic cancer
Huang, B., Huang, H., Zhang, S., Zhang, D., Shi, Q., Liu, J., & Guo, J. (2022) · Theranostics · doi:10.7150/thno.77949 · Cited by 142 · see citing works
Guan, Q., Chen, Y., Wei, Z., Heidari, A. A., Hu, H., Yang, X.-H., Zheng, J., Zhou, Q., Chen, H., & Chen, F. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105444 · Cited by 136 · see citing works
The current knowledge concerning solid cancer and therapy
Najafi, M., Majidpoor, J., Toolee, H., & Mortezaee, K. (2021) · Journal of Biochemical and Molecular Toxicology · doi:10.1002/jbt.22900 · Cited by 131 · see citing works
Therapeutic resistance of pancreatic cancer: Roadmap to its reversal
Yu, S., Zhang, C., & Xie, K. (2020) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2020.188461 · Cited by 117 · see citing works
A sustainable approach to universal metabolic cancer diagnosis
Wang, R., Yang, S., Wang, M., Zhou, Y., Li, X., Chen, W., Liu, W., Huang, Y., Wu, J., Cao, J., et al. (2024) · Nature Sustainability · doi:10.1038/s41893-024-01323-9 · Cited by 109 · see citing works
Diabetes and pancreatic cancer: Exploring the two-way traffic
Roy, A., Sahoo, J., Kamalanathan, S., Naik, D., Mohan, P., & Kalayarasan, R. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i30.4939 · Cited by 104 · see citing works
Ruze, R., Song, J., Yin, X., Chen, Y., Xu, R., Wang, C., & Zhao, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01376-w · Cited by 103 · see citing works
Leiphrakpam, P. D., Chowdhury, S., Zhang, M. H., Bajaj, V., Dhir, M., & Are, C. (2025) · Journal of Gastrointestinal Cancer · doi:10.1007/s12029-025-01183-2 · Cited by 99 · see citing works
Debernardi, S., O’Brien, H., Algahmdi, A. S., Malats, N., Stewart, G. D., Pljesa-Ercegovac, M. S., Costello, E., Greenhalf, W., Saad, A. B., Roberts, R., et al. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003489 · Cited by 90 · see citing works
Self-citationRen, H., Zeng, X., Zhao, X., Hou, D., Yao, H., Muhammad, Y., Zhao, L., Xu, W., Wang, H., & Li, L. (2022) · Nature Communications · doi:10.1038/s41467-021-27932-y · Cited by 88 · see citing works
Pancreatic Cancer in Chronic Pancreatitis: Pathogenesis and Diagnostic Approach
Cosquer, G. L., Maulat, C., Bournet, B., Cordelier, P., Buscail, É., & Buscail, L. (2023) · Cancers · doi:10.3390/cancers15030761 · Cited by 73 · see citing works
Sivapalan, L., Kocher, H. M., Ross‐Adams, H., & Chelala, C. (2020) · Pancreatology · doi:10.1016/j.pan.2020.12.017 · Cited by 71 · see citing works
Boyd, L. N. C., Ali, M., Leeflang, M., Treglia, G., de Vries, R., Large, T. Y. S. L., Besselink, M. G., Giovannetti, E., van Laarhoven, H. W. M., & Geert Kazemier, M. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101747 · Cited by 70 · see citing works
The evolving view of thermogenic fat and its implications in cancer and metabolic diseases
Yin, X., Chen, Y., Ruze, R., Xu, R., Song, J., Wang, C., & Xu, Q. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01178-6 · Cited by 68 · see citing works
A Review of the Diagnosis and Management of Premalignant Pancreatic Cystic Lesions
Keane, M. G., & Afghani, E. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10061284 · Cited by 67 · see citing works
Self-citationFrom Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
Tripathi, S., Tabari, A., Mansur, A., Dabbara, H., Bridge, C. P., & Daye, D. (2024) · Diagnostics · doi:10.3390/diagnostics14020174 · Cited by 64 · see citing works
Early Detection of Pancreatic Cancer
Kenner, B. J., Abrams, N., Chari, S. T., Field, B. F., Goldberg, A. E., Hoos, W. A., Klimstra, D. S., Rothschild, L. J., Srivastava, S., Young, M. R., et al. (2021) · Pancreas · doi:10.1097/mpa.0000000000001882 · Cited by 63 · see citing works
Shams, R., Saberi, S., Zali, M. R., Sadeghi, A., Ghafouri‐Fard, S., & Aghdaei, H. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-64569-1 · Cited by 63 · see citing works
Rovesti, G., Valoriani, F., Rimini, M., Bardasi, C., Ballarin, R., Benedetto, F. D., Menozzi, R., Dominici, M., & Spallanzani, A. (2021) · Nutrients · doi:10.3390/nu13103522 · Cited by 59 · see citing works
Mikdadi, D., O’Connell, K. A., Meacham, P. J., Dugan, M. A., Ojiere, M. O., Carlson, T. B., & Klenk, J. A. (2022) · Cancer Biomarkers · doi:10.3233/cbm-210301 · Cited by 57 · see citing works
Malhotra, A., Rachet, B., Bonaventure, A., Pereira, S. P., & Woods, L. M. (2021) · PLOS ONE · doi:10.1371/journal.pone.0251876 · Cited by 56 · see citing works
Self-citationLi, X., Guo, R., Lu, J., Chen, T., & Qian, X. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3236162 · Cited by 56 · see citing works
Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Liang, W., Tian, W., Wang, Y., Wang, P., Wang, Y., Zhang, H., Ruan, S., Shao, J., Zhang, X., Huang, D., et al. (2022) · BMC Cancer · doi:10.1186/s12885-022-10273-4 · Cited by 51 · see citing works
Optical Detection of Cancer Cells Using Lab-on-a-Chip
Hernández, L. A. G., Martínez‐Martínez, E., Pazos-Solis, D. M., Aguado-Preciado, J., Dutt, A., Chávez-Ramírez, A. U., Korgel, B. A., Sharma, A. K., & Oza, G. (2023) · Biosensors · doi:10.3390/bios13040439 · Cited by 51 · see citing works
Molla, G., & Bitew, M. (2025) · Journal of Molecular Pathology · doi:10.3390/jmp6030020 · Cited by 51 · see citing works
Traub, B., Link, K. H., & Kornmann, M. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2021.05.030 · Cited by 50 · see citing works
Weyya, G., Belay, A., & Tadesse, E. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1340511 · Cited by 50 · see citing works
Mahajan, U. M., Oehrle, B., Sirtl, S., Alnatsha, A., Goni, E., Regel, I., Beyer, G., Vornhülz, M., Vielhauer, J., Chromik, A. M., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.07.047 · Cited by 48 · see citing works
Effects of Berberine against Pancreatitis and Pancreatic Cancer
Vlavcheski, F., O’Neill, E. J., Gagacev, F., & Tsiani, E. (2022) · Molecules · doi:10.3390/molecules27238630 · Cited by 48 · see citing works
Kim, N. H., Chang, Y., Lee, S. R., Ryu, S., & Kim, H. J. (2020) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000956 · Cited by 47 · see citing works
Mellenthin, C., Balaban, D. V., Dugic, A., & Cullati, S. (2022) · Cancers · doi:10.3390/cancers14194684 · Cited by 47 · see citing works
Decker, J. A., Becker, J., Haerting, M., Jehs, B., Risch, F., Canalini, L., Wollny, C., Scheurig‐Muenkler, C., Kroencke, T. J., Schwarz, F., et al. (2023) · Abdominal Radiology · doi:10.1007/s00261-023-04042-5 · Cited by 46 · see citing works
Zhao, Y., Wang, Y., Chen, W., Bai, S., Wang, P., Zheng, M., Yang, Y., Cheng, B., & Luan, Z. (2021) · Cancer Cell International · doi:10.1186/s12935-021-02390-0 · Cited by 45 · see citing works
Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review
Brezgyte, G., Shah, V. M., Jach, D., & Crnogorac‐Jurcevic, T. (2021) · Cancers · doi:10.3390/cancers13112722 · Cited by 43 · see citing works
Oldfield, L. S., Evans, A., Rao, R. G., Jenkinson, C., Purewal, T. S., Psarelli, E. E., Menon, U., Timms, J. F., Pereira, S. P., Ghaneh, P., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2021.103802 · Cited by 42 · see citing works
Self-citationChen, X., Wang, Z., Zhu, Y., Zhang, C., Liu, M., Hu, X., Chen, W., & Du, Y. (2020) · International Journal of Medical Sciences · doi:10.7150/ijms.53243 · Cited by 41 · see citing works
Gaps and Opportunities in the Diagnosis and Treatment of Pancreatic Cancer
Caban, M., & Małecka-Wojciesko, E. (2023) · Cancers · doi:10.3390/cancers15235577 · Cited by 41 · see citing works
Type 2 Diabetes Mellitus Intersects With Pancreatic Cancer Diagnosis and Development
Duan, X., Wang, W., Pan, Q., & Guo, L. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.730038 · Cited by 41 · see citing works
Ding, L., Lyu, Z., Perles‐Barbacaru, T., Huang, A. Y., Lian, B., Jiang, Y., Roussel, T., Galanakou, C., Giorgio, S., Kao, C., et al. (2023) · Advanced Materials · doi:10.1002/adma.202308262 · Cited by 40 · see citing works
Li, W., Li, T., Sun, C., Du, Y., Chen, L., Du, C., Shi, J., & Wang, W. (2022) · Molecular Medicine · doi:10.1186/s10020-022-00467-8 · Cited by 40 · see citing works
Early detection of pancreatic cancer
Garg, S. K., & Chari, S. T. (2020) · Current Opinion in Gastroenterology · doi:10.1097/mog.0000000000000663 · Cited by 39 · see citing works
Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis
Debernardi, S., Blyuss, O. B., Rycyk, D., Srivastava, K., Jeon, C. Y., Cai, H., Cai, Q., Shu, X., & Crnogorac‐Jurcevic, T. (2022) · International Journal of Cancer · doi:10.1002/ijc.34287 · Cited by 39 · see citing works
Self-citationMiura, S., Takikawa, T., Kikuta, K., Hamada, S., Kume, K., Yoshida, N., Tanaka, Y., Matsumoto, R., Ikeda, M., Kataoka, F., et al. (2021) · Diagnostics · doi:10.3390/diagnostics11091693 · Cited by 38 · see citing works
Moglia, V., Johnson, O. A., Cook, G., de Kamps, M., & Smith, L. (2025) · BMC Medical Research Methodology · doi:10.1186/s12874-025-02473-w · Cited by 38 · see citing works
Metastatic pancreatic cancer: Mechanisms and detection (Review)
Chen, X., Liu, F., Xue, Q., Weng, X., & Xu, F. (2021) · Oncology Reports · doi:10.3892/or.2021.8182 · Cited by 38 · see citing works
Bian, J., Xu, Y., Sun, M., Ma, Z., Li, H., Sun, C., Xiong, F., Zhao, X., Yao, W., Chen, Y., et al. (2024) · ACS Nano · doi:10.1021/acsnano.4c07403 · Cited by 37 · see citing works
Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer
Murray, K., Oldfield, L. S., Stefanova, I., Gentiluomo, M., Aretini, P., O’Sullivan, R., Greenhalf, W., Paiella, S., Aoki, M. N., Pastore, A., et al. (2025) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2025.02.009 · Cited by 37 · see citing works
Self-citationSerum exosomal miR-451a acts as a candidate marker for pancreatic cancer
Chen, J., Yao, D., Chen, W., Li, Z., Guo, Y., Zhu, F., & Hu, X. (2022) · The International Journal of Biological Markers · doi:10.1177/17246008211070018 · Cited by 37 · see citing works
Artificial intelligence for the management of pancreatic diseases
Gorris, M., Hoogenboom, S. A. M., Wallace, M. B., & van Hooft, J. E. (2020) · Digestive Endoscopy · doi:10.1111/den.13875 · Cited by 36 · see citing works
Daher, H., Punchayil, S. A., Ismail, A. A. E., Fernandes, R. R., Jacob, J., Algazzar, M. H., & Mansour, M. (2024) · Cureus · doi:10.7759/cureus.56583 · Cited by 35 · see citing works
Artificial Intelligence in Pancreatic Image Analysis: A Review
Liu, W., Zhang, B., Liu, T., Jiang, J., & Liu, Y. (2024) · Sensors · doi:10.3390/s24144749 · Cited by 35 · see citing works
Early Detection of Pancreatic Cancer: Current Advances and Future Opportunities
Lin, Z., Adeniran, E. A., Cai, Y., Qureshi, T. A., Li, D., Gong, J., Li, J., Pandol, S. J., & Jiang, Y. (2025) · Biomedicines · doi:10.3390/biomedicines13071733 · Cited by 34 · see citing works
Self-citationNesteruk, K., Levink, I. J. M., de Vries, E., Visser, I. J., Peppelenbosch, M. P., Cahen, D. L., Fuhler, G. M., & Bruno, M. J. (2022) · Pancreatology · doi:10.1016/j.pan.2022.04.010 · Cited by 34 · see citing works
Hart, P. A., Kudva, Y. C., Yadav, D. K., Andersen, D. K., Li, Y., Toledo, F. G. S., Wang, F., Bellin, M. D., Bradley, D. P., Brand, R. E., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac670 · Cited by 34 · see citing works
Self-citationThe global, regional burden of pancreatic cancer and its attributable risk factors from 1990 to 2021
Yu, W., Zhou, D., Meng, F., Wang, J., Wang, B., Qiang, J., Shen, L., Wang, M., & Fang, H. (2025) · BMC Cancer · doi:10.1186/s12885-025-13471-y · Cited by 33 · see citing works
Risk of Pancreatic Cancer in Glycemically Defined New-Onset Diabetes: A Prospective Cohort Study
Chari, S. T., Wu, B. U., Lopez, C., Lustigova, E., Chen, Q., Eeden, S. K. V. D., Leimpeter, A. D., Fisher, W., Wood, A., Alexander, A. S., et al. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.06.025 · Cited by 33 · see citing works
Self-citationGallo, M., Adinolfi, V., Morviducci, L., Acquati, S., Tuveri, E., Ferrari, P., Zatelli, M. C., Faggiano, A., Argentiero, A., Natalicchio, A., et al. (2021) · ESMO Open · doi:10.1016/j.esmoop.2021.100155 · Cited by 33 · see citing works
MSHT: Multi-Stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
Zhang, T., Feng, Y., Zhao, Y. Q., Fan, G., Yang, A., Lyu, S., Zhang, P., Song, F., Ma, C., Sun, Y., et al. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3234289 · Cited by 33 · see citing works
Woeste, M. R., Shrestha, R., Geller, A. E., Li, S., Montoya-Durango, D. E., Ding, C., Hu, X., Li, H., Puckett, A. H., Mitchell, R. A., et al. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-006221 · Cited by 32 · see citing works
Zhang, J., Teng, F., Hu, B., Liu, W., Huang, Y., Wu, J., Wang, Y., Su, H., Yang, S., Zhang, L., et al. (2024) · Advanced Materials · doi:10.1002/adma.202311431 · Cited by 32 · see citing works
Role of TFRC as a Novel Prognostic Biomarker and in Immunotherapy for Pancreatic Carcinoma
Yang, C. H., Li, J., Guo, Y., Gan, D., Zhang, C., Wang, R., Hua, L., Zhu, L., Ma, P., Shi, J., et al. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2022.756895 · Cited by 32 · see citing works
Research trends of artificial intelligence in pancreatic cancer: a bibliometric analysis
Yin, H., Zhang, F., Yang, X., Meng, X., Yu, M., Hussain, M. S. N., Yang, L., & Li, Z. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.973999 · Cited by 32 · see citing works
Chen, L., Wang, X., Cao, J., Zhang, S., Zeng, Y., Ma, L., Qian, X., Wen, Q., Hong, Y., Shi, Z., et al. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01659-4 · Cited by 32 · see citing works
Hypoxia, a Targetable Culprit to Counter Pancreatic Cancer Resistance to Therapy
Khouzam, R. A., Lehn, J., Mayr, H., Clavien, P., Wallace, M. B., Ducreux, M. P., Limani, P., & Chouaı̈b, S. (2023) · Cancers · doi:10.3390/cancers15041235 · Cited by 31 · see citing works
Waldenmaier, M., Seibold, T., Seufferlein, T. T. W., & Eiseler, T. (2021) · Cancers · doi:10.3390/cancers13194844 · Cited by 31 · see citing works
Xiao, M., Liang, X.-J., Yan, Z., Chen, J., Zhu, Y., Xie, Y., Li, Y., Li, X., Gao, Q., Feng, F., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.803962 · Cited by 31 · see citing works
Lee, H. S., Chae, W., Sung, M. J., Keum, J., Jo, J. H., Chung, M. J., Park, J. Y., Park, S. W., Song, S. Y., Park, E., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac728 · Cited by 30 · see citing works
Current advances in the imaging of atherosclerotic vulnerable plaque using nanoparticles
Zhang, M., Xie, Z., Long, H., Ren, K., Hou, L., Wang, Y., Xu, X., Lei, W., Yang, Z., Ahmed, S., et al. (2022) · Materials Today Bio · doi:10.1016/j.mtbio.2022.100236 · Cited by 30 · see citing works
Wang, R., Zhao, Y., Wang, Y., Zhao, Z., Chen, Q., Duan, Y., Xiong, S., Luan, Z., Wang, J., & Cheng, B. (2022) · Clinical and Translational Gastroenterology · doi:10.14309/ctg.0000000000000487 · Cited by 30 · see citing works
Serum biomarker-based early detection of pancreatic ductal adenocarcinomas with ensemble learning
Nene, N. R., Ney, A., Nazarenko, T., Blyuss, O. B., Johnston, H. E., Whitwell, H. J., Sedlak, E., Gentry‐Maharaj, A., Apostolidou, S., Costello, E., et al. (2023) · Communications Medicine · doi:10.1038/s43856-023-00237-5 · Cited by 31 · see citing works
Self-citationKim, J., Mabud, T. S., Huang, C., del Hoyo, J. L., Petrocelli, R. D., Vij, A., & Dane, B. R. (2024) · Abdominal Radiology · doi:10.1007/s00261-024-04298-5 · Cited by 29 · see citing works
Raoul, P. C., Cintoni, M., Coppola, A., Alfieri, S., Tortora, G., Gasbarrini, A., Mele, M. C., & Rinninella, E. (2023) · International Journal of Surgery · doi:10.1097/js9.0000000000000989 · Cited by 29 · see citing works
Liu, A., & Xu, J. (2021) · Clinical & Translational Oncology · doi:10.1007/s12094-021-02599-5 · Cited by 29 · see citing works
Aberrant RNA Splicing Is a Primary Link between Genetic Variation and Pancreatic Cancer Risk
Tian, J., Chen, C., Rao, M., Zhang, M., Lu, Z., Cai, Y., Ying, P., Li, B., Wang, H., Wang, L., et al. (2022) · Cancer Research · doi:10.1158/0008-5472.can-21-4367 · Cited by 29 · see citing works
Subtyping for pancreatic cancer precision therapy
Huang, X., Zhang, G., & Liang, T. (2022) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2022.03.005 · Cited by 29 · see citing works
Kong, L., Liu, P., Fei, X., Wu, T., Wang, Z., Zhang, B., Li, J., & Tan, X. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01716 · Cited by 28 · see citing works
Aptamer biosensing based on metal enhanced fluorescence platform: A promising diagnostic tool
Sundaresan, S. M., Fothergill, S. M., Tabish, T. A., Ryan, M. P., & Xie, F. (2021) · Applied Physics Reviews · doi:10.1063/5.0065833 · Cited by 28 · see citing works
Shi, Y., Wang, K., Feng, X., Li, S., Liang, H., Li, G., Li, W., Ke, W., Chen, A., Yang, X. Y., et al. (2022) · Nano Energy · doi:10.1016/j.nanoen.2022.107113 · Cited by 28 · see citing works
Cao, W., Chen, Y., Han, W., Yuan, J., Xie, W., Liu, K., Qiu, Y., Wang, X., & Xiao, L. (2021) · Bioengineered · doi:10.1080/21655979.2021.1990195 · Cited by 27 · see citing works
Li, Y., Li, Y., Luo, J., Fu, X., Liu, P., Liu, S., & Pan, Y. (2022) · Cell Death Discovery · doi:10.1038/s41420-022-01047-9 · Cited by 27 · see citing works
Li, F., He, C., Yao, H., Liang, W., Ye, X., Ruan, J., Lin, L., Zou, J., Zhou, S., Huang, Y., et al. (2022) · Journal of Cancer · doi:10.7150/jca.72161 · Cited by 27 · see citing works
Early diagnosis of pancreatic cancer: What strategies to avoid a foretold catastrophe
Tonini, V., & Zanni, M. (2022) · World Journal of Gastroenterology · doi:10.3748/wjg.v28.i31.4235 · Cited by 27 · see citing works
Exosomal DNAJB11 promotes the development of pancreatic cancer by modulating the EGFR/MAPK pathway
Liu, P., Zu, F., Chen, H., Yin, X., & Tan, X. (2022) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-022-00390-0 · Cited by 27 · see citing works
Radiomics for the Diagnosis and Differentiation of Pancreatic Cystic Lesions
Machicado, J. D., Koay, E. J., & Krishna, S. G. (2020) · Diagnostics · doi:10.3390/diagnostics10070505 · Cited by 27 · see citing works
Self-citationWorking together to reduce the burden of pancreatic cancer
Landman, A. S., Feetham, L., & Stuckey, D. W. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30088-7 · Cited by 26 · see citing works
de‐Madaria, E., Mira, J. J., Carrillo, I., Afif, W., Ang, D., Antelo, M., Bollipo, S., Castells, A., Chahal, P., Heinrich, H. S., et al. (2022) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(21)00442-8 · Cited by 26 · see citing works
- Authors
- Pereira, S. P., Oldfield, L., Ney, A., Hart, P. A., Keane, M. G., Pandol, S. J., Li, D., Greenhalf, W., Jeon, C. Y., Koay, E. J., Almario, C. V., Halloran, C., Lennon, A. M., & Costello, E.
- Affiliations
- University College London (GB)
- University of Liverpool (GB)
- The Ohio State University Wexner Medical Center (US)
- Johns Hopkins University (US)
- Cedars-Sinai Medical Center (US)
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Costello, Eithne
- ORCID
- Venue
- The Lancet Gastroenterology & Hepatology
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 5
- Issue
- 7
- Pages
- 698-710
- ISSN
- 2468-1156 (ISSN-L)
- 2468-1253
- PMC
- PMC7380506
- OpenAlex
- W2304258614
- Semantic Scholar
- dbdbc71bbd1a6d8362bfb5f28c2ceb4a79e97871
- Cited by
- 482
- References
- 127
- Citations by year
- 2026: 47 · 2025: 76 · 2024: 88 · 2023: 89 · 2022: 99 · 2021: 61 · 2020: 22
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Lancet. Gastroenterology & hepatology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Center for Advancing Translational Sciences (U01CA196403–01, 1R01CA218004–01A1, 1U01CA200468–01, UL1TR001881–01, U54CA210181–01)
- Royal College of Surgeons of Edinburgh
- Pancreatic Cancer Action
- Cancer Research UK (C52547/A28210, C7690/A26881)
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK108327, R01CA230442, U01DK108314, R21CA220073)
- National Institutes of Health (P50-CA062924)
- National Cancer Institute
- Pancreatic Cancer Research Fund
- Pancreatic Cancer UK
- National Institute for Health Research
- National Pancreas Foundation
- Pancreatic Cancer Action Network
- Lustgarten Foundation
- Atlanta Clinical and Translational Science Institute
- Department of Health, Australian Government
- North West Cancer Research Fund
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- pancreatic ductal adenocarcinoma, early detection, high-risk groups, genetic susceptibility, pancreatic cysts, new-onset diabetes, early diagnosis biomarkers, social media, prediction model, electronic health records, artificial intelligence, diagnostic imaging
- MeSH terms
- Deep Learning, Adult, Aged, Aged, 80 and over, Artificial Intelligence, Diabetes Mellitus, Type 2, Diagnostic Imaging, Female, Humans, Male, Mass Screening, Middle Aged, Pancreatic Cyst, Pancreatic Neoplasms, Risk Factors, Biomarkers, Tumor, Genetic Predisposition to Disease, Carcinoma, Pancreatic Ductal, Early Detection of Cancer, Electronic Health Records, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review