Cited by 535Diabetes Management and ResearchDiabetes, Cardiovascular Risks, and LipoproteinsDiabetes Treatment and Management

The DOI matches its Crossref record; 43 of the 44 references it cites were found in a registry or an index.

HbA 1c as a screening tool for detection of Type 2 diabetes: a systematic review

Bennett, C. M., Guo, M., Dharmage, S. C.·2007·Diabetic Medicine

DOI 10.1111/j.1464-5491.2007.02106.x

Open this paper in CoChat — free account

Abstract

Aim To assess the validity of glycated haemoglobin A(1c) (HbA(1c)) as a screening tool for early detection of Type 2 diabetes. Methods Systematic review of primary cross-sectional studies of the accuracy of HbA(1c) for the detection of Type 2 diabetes using the oral glucose tolerance test as the reference standard and fasting plasma glucose as a comparison. RESULTS Nine studies met the inclusion criteria. At certain cut-off points, HbA(1c) has slightly lower sensitivity than fasting plasma glucose (FPG) in detecting diabetes, but slightly higher specificity. For HbA(1c) at a Diabetes Control and Complications Trial and UK Prospective Diabetes Study comparable cut-off point of > or = 6.1%, the sensitivity ranged from 78 to 81% and specificity 79 to 84%. For FPG at a cut-off point of > or = 6.1 mmol/l, the sensitivity ranged from 48 to 64% and specificity from 94 to 98%. Both HbA(1c) and FPG have low sensitivity for the detection of impaired glucose tolerance (around 50%). CONCLUSIONS HbA(1c) and FPG are equally effective screening tools for the detection of Type 2 diabetes. The HbA(1c) cut-off point of > 6.1% was the recommended optimum cut-off point for HbA(1c) in most reviewed studies; however, there is an argument for population-specific cut-off points as optimum cut-offs vary by ethnic group, age, gender and population prevalence of diabetes. Previous studies have demonstrated that HbA(1c) has less intra-individual variation and better predicts both micro- and macrovascula…

Integrity signals

Registry

Crossref · 10.1111/j.1464-5491.2007.02106.x

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Prevention of Type 2 Diabetes Mellitus by Changes in Lifestyle among Subjects with Impaired Glucose Tolerance
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes
(2005) · New England Journal of Medicine · doi:10.1056/nejmoa052187 · Cited by 5,138
Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study
Pan, X.-R., Li, G.-W., Hu, Y.-H., Wang, J.-X., Yang, W.-Y., An, Z.-X., Hu, Z.-X., Juan-Lin, Xiao, J.-Z., Cao, H.-B., et al. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.537 · Cited by 4,320
Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study
Adler, A. I. (2000) · BMJ · doi:10.1136/bmj.321.7258.412 · Cited by 2,133
Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Kirkman, M. S., Lernmark, A., Metzger, B. E., & Nathan, D. M. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.161596 · Cited by 1,360
Onset of NIDDM occurs at Least 4–7 yr Before Clinical Diagnosis
Harris, M. I., Klein, R., Welborn, T. A., & Knuiman, M. W. (1992) · Diabetes Care · doi:10.2337/diacare.15.7.815 · Cited by 1,306
Association of Hemoglobin A 1c with Cardiovascular Disease and Mortality in Adults: The European Prospective Investigation into Cancer in Norfolk
Khaw, K.-T., Wareham, N., Bingham, S., Luben, R., Welch, A., & Day, N. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-141-6-200409210-00006 · Cited by 974
IFCC reference system for measurement of hemoglobin A1c in human blood and the national standardization schemes in the United States, Japan, and Sweden: a method-comparison study
Hoelzel, W., Weykamp, C., Jeppsson, J.-O., Miedema, K., Barr, J. R., Goodall, I., Hoshino, T., John, W. G., Kobold, U., Little, R., et al. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2003.024802 · Cited by 690

Show all 44 references

Research works printed but not linked: 1

Little RR, 1998, A simple blood collection device for analysis of glycohemoglobin (GHB), Clin Chem, 44, A

Sorted by citations

Items 101–200 of 535

Performance of HbA1c as an Early Diagnostic Indicator of Type 1 Diabetes in Children and Youth
Vehik, K., Cuthbertson, D. D., Boulware, D. C., Beam, C. A., Rodriguez, H., Legault, L., Hyytinen, M., Rewers, M., Schatz, D., Krischer, J. P., et al. (2012) · Diabetes Care · doi:10.2337/dc12-0111 · Cited by 49
Prevalence of diabetes mellitus in 6050 hypopituitary patients with adult-onset GH deficiency before GH replacement: a KIMS analysis
Abs, R., Mattsson, A. F., Thunander, M., Verhelst, J. A., Góth, M., Wilton, P., Kołtowska‐Häggström, M., & Luger, A. (2012) · European Journal of Endocrinology · doi:10.1530/eje-12-0807 · Cited by 48
Serum 25-hydroxyvitamin D levels are inversely associated with glycated haemoglobin (HbA1c). The Tromsø Study
Hutchinson, M. S., Figenschau, Y., Njølstad, I., Schirmer, H., & Jorde, R. (2011) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.3109/00365513.2011.575235 · Cited by 46
Comparison of diabetes mellitus and insulin resistance screening methods for women with polycystic ovary syndrome
Hurd, W. W., Abdel-Rahman, M. Y., Ismail, S. A., Abdellah, M. A., Schmotzer, C. L., & Sood, A. (2011) · Fertility and Sterility · doi:10.1016/j.fertnstert.2011.07.002 · Cited by 46
The Role of Extracellular Matrix Quality in Pulmonary Fibrosis
Kristensen, J. H., Karsdal, M. A., Genovese, F., Johnson, S. R., Svensson, B., Jacobsen, S., Hägglund, P., & Leeming, D. J. (2014) · Respiration · doi:10.1159/000368163 · Cited by 47
Performance of HbA1c for detecting newly diagnosed diabetes and pre‐diabetes in Chinese communities living in Beijing
Zhou, X., Ji, L., Luo, Y., Zhang, X. Y., Han, X., & Qiao, Q. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2009.02831.x · Cited by 47
Quantifying Fibrinogen-Dependent Aggregation of Red Blood Cells in Type 2 Diabetes Mellitus
Deng, Y., Papageorgiou, D. P., Li, X., Perakakis, N., Mantzoros, C. S., Dao, M., & Karniadakis, G. E. (2020) · Biophysical Journal · doi:10.1016/j.bpj.2020.07.026 · Cited by 49
Higher risk of adverse cardiovascular outcomes in females with type 2 diabetes Mellitus: an Umbrella review of systematic reviews
Yaow, C. Y. L., Chong, B., Chin, Y. H., Kueh, M. T. W., Ng, C. H., Chan, K. E., Tang, A. S. P., Chung, C. H., Goh, R. J. L., Kong, G., et al. (2023) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwad133 · Cited by 49
Ischemia-modified albumin in type 2 diabetic patients with and without peripheral arterial disease
Ma, S.-G., Chun-ling, W. E. I., Bing, H., & Yu, W. (2011) · Clinics · doi:10.1590/s1807-59322011001000003 · Cited by 44
The relationship between blood pressure and left ventricular mass index depends on an excess adiposity
Norton, G. R., Majane, O. H. I., Libhaber, E. N., Maseko, M. J., Makaula, S., Libhaber, C. D., & Woodiwiss, A. J. (2009) · Journal of Hypertension · doi:10.1097/hjh.0b013e32832dca53 · Cited by 46
Hemoglobin A1c as a Predictor of Incident Diabetes
Cheng, P., Neugaard, B. I., Foulis, P., & Conlin, P. R. (2011) · Diabetes Care · doi:10.2337/dc10-0625 · Cited by 43
NiO–MoO3 nanocomposite: A sensitive non-enzymatic sensor for glucose and urea monitoring
Salarizadeh, N., Habibi-Rezaei, M., & Zargar, S. J. (2022) · Materials Chemistry and Physics · doi:10.1016/j.matchemphys.2022.125870 · Cited by 43
Comparison of self-reports and biomedical measurements on hypertension and diabetes among older adults in China
Xie, D., & Wang, J. (2020) · BMC Public Health · doi:10.1186/s12889-020-09770-7 · Cited by 43
Inpatient HbA1c testing: a prospective observational study
Nanayakkara, N., Nguyen, H., Churilov, L., Kong, A., Pang, N., Hart, G. K., Owen-Jones, E., White, J., Ross, J., Stevenson, V., et al. (2015) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2015-000113 · Cited by 43
Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus
Thirunavukkarasu, U., Umapathy, S., Krishnan, P. T., & Janardanan, K. (2020) · Evidence-Based Complementary and Alternative Medicine · doi:10.1155/2020/3186208 · Cited by 36
Glycated hemoglobin-detection methods based on electrochemical biosensors
Yazdanpanah, S., Rabiee, M., Tahriri, M., Abdolrahim, M., & Tayebi, L. (2015) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2015.03.019 · Cited by 43
Comparison of fasting plasma glucose and haemoglobin A1c point-of-care tests in screening for diabetes and abnormal glucose regulation in a rural low income setting
Mayega, R. W., Guwatudde, D., Makumbi, F. E., Nakwagala, F. N., Peterson, S., Tomson, G. B., & Östenson, C.-G. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.12.030 · Cited by 43
Detecting undiagnosed diabetes using glycated haemoglobin: an automated screening test in hospitalised patients
Valentine, N. A., Alhawassi, T. M., Roberts, G. W., Vora, P. P., Stranks, S. N., & Doogue, M. P. (2011) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2011.tb03762.x · Cited by 41
Haemoglobin A 1c analysis in the management of patients with diabetes: from chaos to harmony: Table 1
Berg, A. H., & Sacks, D. B. (2008) · Journal of Clinical Pathology · doi:10.1136/jcp.2007.049205 · Cited by 41
A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults
Zhang, Y., Hu, G., Zhang, L., Mayo, R., & Chen, L. (2015) · PLOS ONE · doi:10.1371/journal.pone.0120382 · Cited by 41
“In addition, it is well known that the HbA1c test is not effective in detecting IGT [37].”
Background
Validation of an algorithm combining haemoglobin A1c and fasting plasma glucose for diagnosis of diabetes mellitus in UK and Australian populations
Manley, S. E., Sikaris, K. A., Lu, Z., Nightingale, P., STRATTON, I. M., ROUND, R. A., Baskar, V., Gough, S. C. L., & Smith, J. M. (2008) · Diabetic Medicine · doi:10.1111/j.1464-5491.2008.02652.x · Cited by 40
Trends in laboratory testing for diabetes in Ontario, Canada 1995–2005: A population-based study
Wilson, S. E., Lipscombe, L. L., Rosella, L. C., & Manuel, D. G. (2009) · BMC Health Services Research · doi:10.1186/1472-6963-9-41 · Cited by 41
Truncated aptamers for total and glycated hemoglobin, and their integration into a graphene oxide-based fluorometric method for high-throughput screening for diabetes
Almusharraf, A. Y., Eissa, S., & Zourob, M. M. (2018) · Microchimica Acta · doi:10.1007/s00604-018-2789-3 · Cited by 40
Population-based pediatric reference intervals for HbA1c, bilirubin, albumin, CRP, myoglobin and serum enzymes
Rödöö, P., Ridefelt, P., Aldrimer, M., Niklasson, F., Gustafsson, J., & Hellberg, D. (2013) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.3109/00365513.2013.783931 · Cited by 40
Optimal hemoglobin A1C Cutoff Value for Diagnosing type 2 diabetes mellitus in Korean adults
Lee, H., Oh, J. Y., Sung, Y., Kim, D., Kim, S., Kim, S. G., Moon, S., Park, I.-B., Rhee, E., Chung, C. H., et al. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2012.09.030 · Cited by 39
Gender-specific brachial artery blood pressure-independent relationship between pulse wave velocity and left ventricular mass index in a group of African ancestry
Libhaber, E. N., Woodiwiss, A. J., Libhaber, C. D., Maseko, M. J., Majane, O. H. I., Makaula, S., Dessein, P. H., Essop, M. R., Sareli, P., & Norton, G. R. (2008) · Journal of Hypertension · doi:10.1097/hjh.0b013e328302ca27 · Cited by 39
Associations of Perfluoroalkyl Substances with Prevalence of Metabolic Syndrome in Highly Exposed Young Adult Community Residents—A Cross-Sectional Study in Veneto Region, Italy
Jeddi, M. Z., Zuanna, T. D., Barbieri, G., Fabricio, A. S. C., Daprà, F., Fletcher, T., Russo, F., Pitter, G., & Canova, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18031194 · Cited by 39
Contribution of Circulating Angiotensinogen Concentrations to Variations in Aldosterone and Blood Pressure in a Group of African Ancestry Depends on Salt Intake
Michel, F. S., Norton, G. R., Majane, O. H. I., Badenhorst, M. E., Vengethasamy, L., Paiker, J. E., Maseko, M. J., Sareli, P., & Woodiwiss, A. J. (2011) · Hypertension · doi:10.1161/hypertensionaha.111.181230 · Cited by 38
The role of hemoglobin A1c in the assessment of diabetes and cardiovascular risk
Sandler, C. N., & McDonnell, M. E. (2016) · Cleveland Clinic Journal of Medicine · doi:10.3949/ccjm.83.s1.02 · Cited by 41
Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana
Omech, B., Mwita, J. C., Tshikuka, J., Tsima, B. M., Nkomazna, O., & Amone‐P’Olak, K. (2016) · Journal of Diabetes Research · doi:10.1155/2016/4968350 · Cited by 37
Five-year outcomes of patients with type 2 diabetes who underwent laparoscopic adjustable gastric banding
Sultan, S. T., Gupta, D., Parikh, M., Youn, H. A., Kurian, M. S., Fielding, G., & Ren‐Fielding, C. J. (2010) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2010.02.043 · Cited by 36
Detecting undiagnosed diabetes using glycated haemoglobin: an automated screening test in hospitalised patients
Valentine, N. A., Alhawassi, T. M., Roberts, G. W., Vora, P. P., Stranks, S. N., & Doogue, M. P. (2011) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2011.tb02954.x · Cited by 37
The challenge of undiagnosed pre-diabetes, diabetes and associated cardiovascular disease
Gossain, V. V., & Aldasouqi, S. A. (2009) · International Journal of Diabetes Mellitus · doi:10.1016/j.ijdm.2009.10.004 · Cited by 37
The cost-effectiveness of testing strategies for type 2 diabetes: a modelling study
Gillett, M., Brennan, A., Watson, P., Khunti, K., Davies, M. J., Mostafa, S. A., & Gray, L. J. (2015) · Health Technology Assessment · doi:10.3310/hta19330 · Cited by 37
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks
Kang, S. (2018) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2018.02.004 · Cited by 37
Risk factors for amputation in patients with diabetic foot ulcer in southwest Iran: a matched case-control study
Kogani, M., Mansournia, M. A., Doosti‐Irani, A., & Holakouie‐Naieni, K. (2015) · Epidemiology and Health · doi:10.4178/epih/e2015044 · Cited by 35
High Resolution Clinical Model-Based Assessment of Insulin Sensitivity
Lotz, T. (2007) · UC Research Repository (University of Canterbury) · doi:10.26021/2196 · Cited by 34
Feasibility and effectiveness of a targeted diabetes prevention program for 18 to 60-year-old South Asian migrants: design and methods of the DH!AAN study
Vlaar, E. M., van Valkengoed, I. G. M., Nierkens, V., Nicolaou, M., Middelkoop, B. J., & Stronks, K. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-371 · Cited by 34
Are guidelines for monitoring chronic disease in primary care evidence based?
Elwenspoek, M. M. C., Patel, R., Watson, J., & Whiting, P. F. (2019) · BMJ · doi:10.1136/bmj.l2319 · Cited by 34
HbA1c may contribute to the development of non-alcoholic fatty liver disease even at normal-range levels
Chen, C., Zhu, Z., Mao, Y., Xu, Y., Du, J., Tang, X., & Cao, H. (2020) · Bioscience Reports · doi:10.1042/bsr20193996 · Cited by 34
The Effect of Chrysin-Loaded Phytosomes on Insulin Resistance and Blood Sugar Control in Type 2 Diabetic db/db Mice
Kim, S.-M., & Imm, J. (2020) · Molecules · doi:10.3390/molecules25235503 · Cited by 34
Alternative HbA1c Cutoffs to Identify High-Risk Adults for Diabetes Prevention
Zhuo, X., Zhang, P., Selvin, E., Hoerger, T. J., Ackermann, R. T., Li, R., Bullard, K. M., & Gregg, E. W. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.01.003 · Cited by 34
Blood spot–based measures of glucose homeostasis and diabetes prevalence in a nationally representative population of young US adults
Nguyen, Q. C., Whitsel, E. A., Tabor, J. W., Cuthbertson, C. C., Wener, M. H., Potter, A., Halpern, C. T., Killeya‐Jones, L. A., Hussey, J. M., Suchindran, C., et al. (2014) · Annals of Epidemiology · doi:10.1016/j.annepidem.2014.09.010 · Cited by 34
Diabetes screening in overweight and obese children and adolescents: choosing the right test
Ehehalt, S., Wiegand, S., Körner, A., Schweizer, R., Liesenkötter, K., Partsch, C., Blumenstock, G., Spielau, U., Denzer, C., Ranke, M. B., et al. (2016) · European Journal of Pediatrics · doi:10.1007/s00431-016-2807-6 · Cited by 33
Neurogenic Obesity-Induced Insulin Resistance and Type 2 Diabetes Mellitus in Chronic Spinal Cord Injury
Gordon, P., Farkas, G. J., & Gater, D. R. (2021) · Topics in Spinal Cord Injury Rehabilitation · doi:10.46292/sci20-00063 · Cited by 34
Predictive model and feature importance for early detection of type II diabetes mellitus
Adua, E., Kolog, E. A., Afrifa‐Yamoah, E., Amankwah, B., Obirikorang, C., Anto, E. O., Acheampong, E., Wang, W., & Tetteh, A. Y. (2021) · Translational Medicine Communications · doi:10.1186/s41231-021-00096-z · Cited by 35
Diagnostic Value of Hemoglobin A1c and Fasting Plasma Glucose Levels in Coronary Artery Bypass Grafting Patients With Undiagnosed Diabetes Mellitus
Tekümit, H., Cenal, A. R., Polat, A., Uzun, K., Tataroǧlu, C., & Akıncı, E. (2010) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2009.11.033 · Cited by 33
HbA1c values for defining diabetes and impaired fasting glucose in Asian Indians
Nair, M., Prabhakaran, D., Narayan, K. M. V., Sinha, R. R., Ramakrishnan, L., Devasenapathy, N., Daniel, C. R., Gupta, R., George, P. S., Mathew, A., et al. (2011) · Primary care diabetes · doi:10.1016/j.pcd.2011.02.002 · Cited by 32
Optimal Hemoglobin A1c Levels for Screening of Diabetes and Prediabetes in the Japanese Population
Shimodaira, M., Okaniwa, S., Hanyu, N., & Nakayama, T. (2015) · Journal of Diabetes Research · doi:10.1155/2015/932057 · Cited by 31
Glycated hemoglobin as a marker of subclinical atherosclerosis and cardiac remodeling among non-diabetic adults from the general population
Haring, R., Baumeister, S. E., Lieb, W., von Sarnowski, B., Völzke, H., Felix, S. B., Nauck, M. A., & Wallaschofski, H. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.05.004 · Cited by 32
Health investment decisions in response to diabetes information in older Americans
Slade, A. N. (2012) · Journal of Health Economics · doi:10.1016/j.jhealeco.2012.04.001 · Cited by 32
Associations between area socioeconomic status, individual mental health, physical activity, diet and change in cardiometabolic risk amongst a cohort of Australian adults: A longitudinal path analysis
Carroll, S. J., Dale, M. J., Niyonsenga, T., Taylor, A. W., & Daniel, M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233793 · Cited by 30
Pitfalls of HbA1c in the Diagnosis of Diabetes
Bergman, M., Abdul‐Ghani, M. A., Neves, J. S., Monteiro, M. P., Medina, J. L., Dorcely, B., & Buysschaert, M. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa372 · Cited by 34
Hypoglycemic Effects of Pyrodextrins with Different Molecular Weights and Digestibilities in Mice with Diet-Induced Obesity
Cao, Y. L., Chen, X., Sun, Y., Shi, J., Xu, X., & Shi, Y. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b00404 · Cited by 32
HbA1c as a diagnostic tool for diabetes and pre‐diabetes: the Bangladesh experience
Bhowmik, B., Diep, L. M., Munir, S. B., Rahman, M. H., Wright, E., Mahmood, S., Afsana, F., Ahmed, T., Khan, A. K. A., & Hussain, A. (2012) · Diabetic Medicine · doi:10.1111/dme.12088 · Cited by 31
Label‐free optical detection of type II diabetes based on surface‐enhanced Raman spectroscopy and multivariate analysis
Lin, J., Huang, Z., Feng, S., Lin, J., Liu, N., Wang, J., Li, L., Zeng, Y., Li, B., Zeng, H., et al. (2014) · Journal of Raman Spectroscopy · doi:10.1002/jrs.4574 · Cited by 28
HbA1c and the diagnosis of diabetes and prediabetes in a middle‐aged and elderly H an population from northwest C hina (HbA1c与中国西北部地区中老年汉族人群糖尿病和糖尿病前期的诊断)
Wu, S., Yi, F.-S., Zhou, C., Zhang, M., Zhu, Y., Tuniyazi, Y., Huang, L., Huang, X., Wang, F., Bi, Y., et al. (2013) · Journal of Diabetes · doi:10.1111/1753-0407.12035 · Cited by 30
Preventing type 2 diabetes: can we make the evidence work?
Yates, T. E., Davies, M. J., & Khunti, K. (2009) · Postgraduate Medical Journal · doi:10.1136/pgmj.2008.076166 · Cited by 29
Cognitive function in early and later life is associated with blood glucose in older individuals: analysis of the Lothian Birth Cohort of 1936
Altschul, D., Starr, J. M., & Deary, I. J. (2018) · Diabetologia · doi:10.1007/s00125-018-4645-8 · Cited by 27
Accuracy of diabetes screening methods used for people with tuberculosis, Indonesia, Peru, Romania, South Africa
Grint, D. J., Alisjhabana, B., Ugarte‐Gil, C., Riza, A.-L., Walzl, G., Pearson, F., Ruslami, R., Moore, D., Ioana, M. I., McAllister, S. M., et al. (2018) · Bulletin of the World Health Organization · doi:10.2471/blt.17.206227 · Cited by 28
Laboratory Assessment
Carmina, E., Stanczyk, F. Z., & Løbo, R. A. (2013) · Elsevier eBooks · doi:10.1016/b978-1-4557-2758-2.00034-2 · Cited by 30
Hyperglycemia, assessed according to HbA1c, and future risk of venous thromboembolism: the Tromsø study
Lerstad, G., Brodin, E. E., Enga, K. F., Jorde, R., Schirmer, H., Njølstad, I., Svartberg, J. B., Brækkan, S. K., & Hansen, J. (2013) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.12498 · Cited by 29
Absorption Spectroscopy for the Estimation of Glycated Hemoglobin (HbA1c) for the Diagnosis and Management of Diabetes Mellitus: A Pilot Study
Mallya, M., Shenoy, R. P., Kodyalamoole, G., Biswas, M., Karumathil, J., & Kamath, S. D. (2013) · Photomedicine and Laser Surgery · doi:10.1089/pho.2012.3421 · Cited by 30
Aldosterone-to-Renin Ratio and the Relationship Between Urinary Salt Excretion and Blood Pressure in a Community of African Ancestry
Scott, L., Woodiwiss, A. J., Maseko, M. J., Veliotes, D. G. A., Majane, O. H. I., Paiker, J. E., Sareli, P., & Norton, G. R. (2011) · American Journal of Hypertension · doi:10.1038/ajh.2011.49 · Cited by 28
Meta-analysis for the comparison of two diagnostic tests to a common gold standard: A generalized linear mixed model approach
Hoyer, A., & Kuß, O. (2016) · Statistical Methods in Medical Research · doi:10.1177/0962280216661587 · Cited by 28
A thorough analysis of diabetes research in China from 1995 to 2015: current scenario and future scope
Wu, Z., Jin, T., & Weng, J. (2018) · Science China Life Sciences · doi:10.1007/s11427-018-9377-y · Cited by 27
Use of high‐normal levels of haemoglobin A1C and fasting plasma glucose for diabetes screening and for prediction: a meta‐analysis
Kodama, S., Horikawa, C., Fujihara, K., Hirasawa, R., Yachi, Y., Yoshizawa, S. M., Tanaka, S., Sone, Y., Shimano, H., Iida, K., et al. (2013) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2445 · Cited by 27
HbA1c and glucose intolerance in obese children and adolescents
Lee, H. S., Park, H. K., & Hwang, J. S. (2012) · Diabetic Medicine · doi:10.1111/j.1464-5491.2012.03596.x · Cited by 27
Fluorescent 2D WS2 Nanosheets Bearing Chemical Affinity Elements for the Recognition of Glycated Hemoglobin
Yang, J., Lee, H., Hwang, I., Kim, H., Yim, D., & Kim, J. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701496 · Cited by 27
Validity of Glycated Hemoglobin in Screening and Diagnosing Type 2 Diabetes Mellitus in Chinese Subjects
Yu, Y., Ouyang, X., Lou, Q., Gu, L., Mo, Y., Ko, G. T. C., Chow, C., So, W., Ronald, C. W., Kong, A. P. S., et al. (2012) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2012.27.1.41 · Cited by 27
Glycated haemoglobin in diagnosis of diabetes mellitus and pre-diabetes among middle-aged and elderly population: Shanghai Changfeng study.
Ma, H., Gao, X., Lin, H. D., Hu, Y., Li, X. M., Gao, J., & Zhao, N. Q. (2013) · PubMed · doi:10.3967/0895-3988.2013.03.001 · Cited by 27
Data-Driven Management of Post-Transplant Medications: An APOMDP Approach
Boloori, A., Saghafian, S., Chakkera, H. A., & Cook, C. B. (2017) · Manufacturing & Service Operations Management · doi:10.1287/msom.2019.0797 · Cited by 28
New screening technologies for type 2 diabetes mellitus appropriate for use in tuberculosis patients [Review article]
Adepoyibi, T., Weigl, B. H., Greb, H., Neogi, T., & McGuire, H. (2013) · Public Health Action · doi:10.5588/pha.13.0036 · Cited by 26
Meta‐analysis of full ROC curves using bivariate time‐to‐event models for interval‐censored data
Hoyer, A., Hirt, S., & Kuß, O. (2017) · Research Synthesis Methods · doi:10.1002/jrsm.1273 · Cited by 26
Early pregnancy fasting plasma glucose and lipid concentrations in pregnancy and association to offspring size: a retrospective cohort study
Liu, B., Geng, H., Yang, J., Zhang, Y., Deng, L., Chen, W., & Wang, Z. (2016) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-016-0846-7 · Cited by 25
Survey to estimate the prevalence of type 2 diabetes mellitus in hospital patients in Germany by systematic HbA1c measurement upon admission
Müller‐Wieland, D., Merkel, M., Hamann, A., Siegel, E. G., Ottillinger, B., Woker, R., & Fresenius, K. (2018) · International Journal of Clinical Practice · doi:10.1111/ijcp.13273 · Cited by 25
Controversies on how diabetes is diagnosed
Malkani, S., & DeSilva, T. (2012) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0b013e32835168c0 · Cited by 26
Accuracy of fasting plasma glucose and hemoglobin A1c testing for the early detection of diabetes: A pilot study
Chung, J. K.-O., Xue, H., Pang, E. W.-H., & Tam, D. (2017) · Frontiers in Laboratory Medicine · doi:10.1016/j.flm.2017.06.002 · Cited by 27
Prediabetes in Colombia: Expert Consensus
López-Jaramillo, P. A., Calderón, C., Castillo, J., Escobar, I. D., Enrique Melgarejo, R., & Parra, G. A. (2017) · Colombia medica · doi:10.25100/cm.v48i4.3662 · Cited by 30
iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms
Liu, X., Shi, T., Gao, D., Ma, C.-Y., Lin, H., Yan, D., & Deng, K. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c00564 · Cited by 24
Age‐specific associations of glycated haemoglobin variability with cardiovascular disease and mortality in patients with type 2 diabetes mellitus: A 10‐ year cohort study
Wan, E. Y. F., Yu, E. Y. T., Chin, W. Y., Ng, F. T. Y., Chia, S. M. C., Wong, I. C. K., Chan, E. W., & Lam, C. L. K. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14034 · Cited by 25
Corrigendum
Bennett, C. M., Guo, M., & Dharmage, S. C. (2007) · Diabetic Medicine · doi:10.1111/j.1464-5491.2007.02265.x · Cited by 24
Self-citation
Generation Scotland: an update on Scotland’s longitudinal family health study
Milbourn, H., McCartney, D. L., Richmond, A., Campbell, A., Flaig, R., Robertson, S., Fawns‐Ritchie, C., Hayward, C., Marioni, R. E., McIntosh, A. M., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-084719 · Cited by 22
Hypoglycemic Effects of Novel Panax notoginseng Polysaccharide in Mice with Diet-Induced Obesity
Li, X., Liu, H., Yang, H., & Zeng, Y. (2022) · Foods · doi:10.3390/foods11193101 · Cited by 22
Effect of transcutaneous electrical nerve stimulation at acupoints on patients with type 2 diabetes mellitus: a randomized controlled trial
Wu, Z., Yang, M., Jie, J., Wu, Y., Huang, T., Li, M., He, Z., Guo, Z., & Pang, L. M. C. (2015) · 中医杂志：英文版 · doi:10.1016/s0254-6272(15)30020-0 · Cited by 22
Utility of HbA1c and fasting plasma glucose for screening of Type 2 diabetes: a meta‐analysis of full ROC curves
Hoyer, A., Rathmann, W., & Kuss, O. (2017) · Diabetic Medicine · doi:10.1111/dme.13560 · Cited by 22
Effects of a Ruthenium Schiff Base Complex on Glucose Homeostasis in Diet-Induced Pre-Diabetic Rats
Mabuza, L. P., Gamede, M. W., Maikoo, S., Booysen, I. N., Ngubane, P. S., & Khathi, A. (2018) · Molecules · doi:10.3390/molecules23071721 · Cited by 25
Discrepancies between Glycosylated Hemoglobin and Fasting Plasma Glucose for Diagnosing Impaired Fasting Glucose and Diabetes Mellitus in Korean Youth and Young Adults
Lee, J., Lee, Y. A., Kim, J. H., Lee, S. Y., Shin, C. H., & Yang, S. W. (2018) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2018.0046 · Cited by 22
Relationship between hemoglobin A1c and serum troponin in patients with diabetes and cardiovascular events
Šimić, S., Svaguša, T., Prkačin, I., & Bulum, T. (2019) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-019-00460-9 · Cited by 23
Effects of Exercise Intervention on Adults With Both Hypertension and Type 2 Diabetes Mellitus
Park, S., Kim, J., & Lee, J. (2020) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000651 · Cited by 23
Effect of community-based public health service on health-related quality of life among middle-aged and older adults with chronic diseases in China
Wu, J., Chen, D., Li, C., & Wang, Y. (2024) · BMC Public Health · doi:10.1186/s12889-024-19556-w · Cited by 21
Effects of Age and Sex in the Diagnosis of Type 2 Diabetes Using Glycated Haemoglobin in Japan: The Yuport Medical Checkup Centre Study
Inoue, M., Inoue, K., & Akimoto, K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040375 · Cited by 22
Putting “sticky notes” on the electronic medical record to promote intra-hospital referral of hepatitis B and C virus-positive patients to hepatology specialists: an exploratory study
Fujii, H., Yamaguchi, S., Kurai, O., Miyano, M., Ueda, W., Oba, H., Aoki, T., Enomoto, M., Kawada, N., & Okawa, K. (2016) · BMC Infectious Diseases · doi:10.1186/s12879-016-1765-y · Cited by 21
Local descriptive body weight and dietary norms, food availability, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical cohort
Carroll, S. J., Paquet, C., Howard, N. J., Coffee, N. T., Adams, R. J., Taylor, A. W., Niyonsenga, T., & Daniel, M. (2017) · BMC Public Health · doi:10.1186/s12889-017-4068-3 · Cited by 22
The changing relationship between HbA1c and FPG according to different FPG ranges
Guan, X., Zheng, L., Sun, G., Guo, X., Li, Y., Song, H., Tian, F., & Sun, Y. (2015) · Journal of Endocrinological Investigation · doi:10.1007/s40618-015-0389-1 · Cited by 21
Deformability of Heterogeneous Red Blood Cells in Aging and Related Pathologies
Prudinnik, D. S., Kussanova, A., Vorobjev, I. A., Tikhonov, A., Ataullakhanov, F. I., & Barteneva, N. S. (2024) · Aging and Disease · doi:10.14336/ad.2024.0526 · Cited by 21
Glycated haemoglobin (HbA 1c ) and fasting plasma glucose relationships in sea‐level and high‐altitude settings
Bazo‐Alvarez, J. C., Quispe, R., Pillay, T. D., Bernabé‐Ortiz, A., Smeeth, L. L., Checkley, W., Gilman, R. H., Málaga, G., & Miranda, J. J. (2017) · Diabetic Medicine · doi:10.1111/dme.13335 · Cited by 21
Determination of hemoglobin A1c and fasting blood glucose reference intervals in captive chimpanzees (Pan troglodytes).
McTighe, M., HANSEN, B. C., Ely, J. J., & Lee, D. R. (2011) · Europe PMC (PubMed Central) · Cited by 20
Glycaemic dysregulation in nondiabetic patients after major lower limb prosthetic surgery
Pili‐Floury, S., Mitifiot, F., Penfornis, A., Boichut, N., Tripart, M.-H., Christophe, J.-L., Garbuio, P., & Samain, E. (2008) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.06.007 · Cited by 20
Impact of diabetes-related gene polymorphisms on the clinical characteristics of type 2 diabetes Chinese Han population
Li, J., Wei, J., Xu, P., Yan, M., Li, J., Chen, Z., & Jin, T. (2016) · Oncotarget · doi:10.18632/oncotarget.13399 · Cited by 20

Authors: Bennett, C. M., Guo, M., & Dharmage, S. C.
Affiliations: The University of Melbourne (AU)
Corresponding author: Bennett, C. M.
ORCID: Bennett, C. M.
Dharmage, S. C.
Venue: Diabetic Medicine
Publisher: Wiley
Published: 2007-03-15
Volume: 24
Issue: 4
Pages: 333-343
ISSN: 0742-3071 (ISSN-L)
1464-5491
DOI: 10.1111/j.1464-5491.2007.02106.x
OpenAlex: W2105093768
Cited by: 534
References: 44
Citations by year: 2026: 12 · 2025: 13 · 2024: 30 · 2023: 15 · 2022: 25 · 2021: 15 · 2020: 25 · 2019: 24 · 2018: 31 · 2017: 28 · 2016: 33 · 2015: 31 · 2014: 38 · 2013: 39 · 2012: 33
FWCI: 4.65
Type: journal article
Language: en
Update notices: erratum (2007-08-21)
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Diabetic Medicine (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords: glycated haemoglobin A1c, type 2 diabetes screening, fasting blood glucose, diagnostic accuracy, sensitivity and specificity, impaired glucose tolerance, cut-off values, oral glucose tolerance test, cost-effectiveness
MeSH terms: Adolescent, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Female, Glucose Tolerance Test, Glycated Hemoglobin, Humans, Male, Middle Aged, Predictive Value of Tests, Reference Standards, ROC Curve, Sensitivity and Specificity, Biomarkers, Prevalence, Likelihood Functions

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.

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

HbA 1c as a screening tool for detection of Type 2 diabetes: a systematic review

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks