Cited by 180

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Understanding Long-Term Outcomes Following Sepsis: Implications and Challenges

Shankar-Hari, Manu, Rubenfeld, Gordon D.·2016·Current Infectious Disease Reports

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11908-016-0544-7

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Conceptual framework for multiple interacting factors influencing sepsis associated long-term outcomes. The red triangle highlights the vicious cycle between pre-illness morbidity—sepsis—long-term outcomes pathway. The arrows represent direction of relationship between factors. Sepsis occurs in healthy and in subjects with co-morbidities, acutely altering pre-event health state. Thus, complex interactions between pre-sepsis health state and additional morbidity and frailty related to sepsis illness influence post-sepsis health state in sepsis-survivors
Fig. 1 Conceptual framework for multiple interacting factors influencing sepsis associated long-term outcomes. The red triangle highlights the vicious cycle between pre-illness morbidity—sepsis—long-term outcomes pathway. The arrows represent direction of relationship between factors. Sepsis occurs in healthy and in subjects with co-morbidities, acutely altering pre-event health state. Thus, complex interactions between pre-sepsis health state and additional morbidity and frailty related to sepsis illness influence post-sepsis health state in sepsis-survivorsCC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 82

  1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA. 2016;315(8):801–10. doi: 10.1001/jama.2016.0287 . · DOI · Paper page
  2. Shankar-Hari M, Phillips GS, Levy ML, Seymour CW, Liu VX, Deutschman CS, et al. Developing a new definition and assessing new clinical criteria for septic shock. JAMA. 2016;315(8):775. doi: 10.1001/jama.2016.0289 . · DOI
  3. Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P et al. Assessment of Global Incidence and Mortality of Hospital-treated Sepsis - Current Estimates and Limitations. Am J Respir Crit Care Med. 2015. doi: 10.1164/rccm.201504-0781OC . · DOI · Paper page
  4. Churpek MM, Zadravecz FJ, Winslow C, Howell M, Edelson DP. Incidence and Prognostic Value of the Systemic Inflammatory Response Syndrome and Organ Dysfunctions in Ward Patients. Am J Respir Crit Care Med. 2015. doi: 10.1164/rccm.201502-0275OC . · DOI
  5. Stevenson EK, Rubenstein AR, Radin GT, Wiener RS, Walkey AJ. Two decades of mortality trends among patients with severe sepsis: a comparative meta-analysis*. Crit Care Med. 2014;42(3):625–31. doi: 10.1097/CCM.0000000000000026 . · DOI
  6. Kaukonen KM, Bailey M, Suzuki S, Pilcher D, Bellomo R. Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. JAMA. 2014;311(13):1308–16. doi: 10.1001/jama.2014.2637 . · DOI · Paper page
  7. Prescott HC, Langa KM, Liu V, Escobar GJ, Iwashyna TJ. Increased 1-year healthcare use in survivors of severe sepsis. Am J Respir Crit Care Med. 2014;190(1):62–9. doi: 10.1164/rccm.201403-0471OC . · DOI
  8. Aalen OO, Valberg M, Grotmol T, Tretli S. Understanding variation in disease risk: the elusive concept of frailty. Int J Epidemiol. 2015;44(4):1408–21. doi: 10.1093/ije/dyu192 . · DOI
  9. Iwashyna TJ, Netzer G, Langa KM, Cigolle C. Spurious inferences about long-term outcomes: the case of severe sepsis and geriatric conditions. Am J Respir Crit Care Med. 2012;185(8):835–41. doi: 10.1164/rccm.201109-1660OC . · DOI
  10. Angus DC, Wax RS. Epidemiology of sepsis: an update. Crit Care Med. 2001;29(7 Suppl):S109–16. · DOI · Paper page
  11. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001;29(7):1303–10. · DOI · Paper page
  12. Esper AM, Moss M, Lewis CA, Nisbet R, Mannino DM, Martin GS. The role of infection and comorbidity: factors that influence disparities in sepsis. Crit Care Med. 2006;34(10):2576–82. doi: 10.1097/01.CCM.0000239114.50519.0E . · DOI · Paper page
  13. Chapman SJ, Hill AV. Human genetic susceptibility to infectious disease. Nat Rev Genet. 2012;13(3):175–88. doi: 10.1038/nrg3114 . · DOI
  14. Kellum JA, Kong L, Fink MP, Weissfeld LA, Yealy DM, Pinsky MR, et al. Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study. Arch Intern Med. 2007;167(15):1655–63. doi: 10.1001/archinte.167.15.1655 . · DOI
  15. Yende S, Iwashyna TJ, Angus DC. Interplay between sepsis and chronic health. Trends Mol Med. 2014;20(4):234–8. doi: 10.1016/j.molmed.2014.02.005 . · DOI
  16. Davenport EE, Burnham KL, Radhakrishnan J, Humburg P, Hutton P, Mills TC et al. Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study. Lancet Respir Med. 2016. doi: 10.1016/s2213-2600(16)00046-1 . · DOI
  17. Gomez H, Ince C, De Backer D, Pickkers P, Payen D, Hotchkiss J, et al. A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaptation to injury. Shock. 2014;41(1):3–11. doi: 10.1097/SHK.0000000000000052 . · DOI
  18. Takasu O, Gaut JP, Watanabe E, To K, Fagley RE, Sato B, et al. Mechanisms of cardiac and renal dysfunction in patients dying of sepsis. Am J Respir Crit Care Med. 2013;187(5):509–17. doi: 10.1164/rccm.201211-1983OC . · DOI
  19. Lunney JR, Lynn J, Hogan C. Profiles of older medicare decedents. J Am Geriatr Soc. 2002;50(6):1108–12. doi: 10.1046/j.1532-5415.2002.50268.x . · DOI
  20. Lunney JR, Lynn J, Foley DJ, Lipson S, Guralnik JM. Patterns of functional decline at the end of life. JAMA. 2003;289(18):2387–92. doi: 10.1001/jama.289.18.2387 . · DOI
  21. Lone NI, Walsh TS. Impact of intensive care unit organ failures on mortality during the five years after a critical illness. Am J Respir Crit Care Med. 2012;186(7):640–7. doi: 10.1164/rccm.201201-0059OC . · DOI
  22. Shankar-Hari M, Ambler M, Mahalingasivam V, Jones A, Rowan K, Rubenfeld G. Evidence for a causal link between sepsis and long-term mortality: a systematic review of epidemiologic studies. Critical Care. 2016;20(1):101. This systematic review challenges the causal relationship between sepsis and long-term mortality. Highlights methodological issues in the literatures. · DOI
  23. Yende S, Linde-Zwirble W, Mayr F, Weissfeld LA, Reis S, Angus DC. Risk of cardiovascular events in survivors of severe sepsis. Am J Respir Crit Care Med. 2014;189(9):1065–74. doi: 10.1164/rccm.201307-1321OC . Landmark paper on cadiovascular events in sepsis survivors and value of control arms in determining attributable risk to sepsis. · DOI
  24. McConnell S, Stuart EA, Devaney B. The truncation-by-death problem: what to do in an experimental evaluation when the outcome is not always defined. Eval Rev. 2008;32(2):157–86. doi: 10.1177/0193841X07309115 . · DOI
  25. Zhang JX, Iwashyna TJ, Christakis NA. The performance of different lookback periods and sources of information for charlson comorbidity adjustment in Medicare claims. Med Care. 1999;37(11):1128–39. · DOI
  26. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res. 2011;46(3):399–424. doi: 10.1080/00273171.2011.568786 . · DOI · Paper page
  27. Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–60. · DOI · Paper page
  28. Hofler M. The Bradford Hill considerations on causality: a counterfactual perspective. Emerg Themes Epidemiol. 2005;2:11. doi: 10.1186/1742-7622-2-11 . · DOI
  29. Prescott HC, Osterholzer JJ, Langa KM, Angus DC, Iwashyna TJ. Late mortality after sepsis: propensity matched cohort study. BMJ. 2016;353. doi: 10.1136/bmj.i2375 . Highlights post-acute mortality in sepsis survivors using novel statistical methods. · DOI
  30. Ou SM, Chu H, Chao PW, Lee YJ, Kuo SC, Chen TJ, et al. Long-term mortality and major adverse cardiovascular events in sepsis survivors. A nationwide population-based study. Am J Respir Crit Care Med. 2016;194(2):209–17. doi: 10.1164/rccm.201510-2023OC . Highlights post acute mortality in sepsis survivors. · DOI
  31. Funk MJ, Westreich D, Wiesen C, Sturmer T, Brookhart MA, Davidian M. Doubly robust estimation of causal effects. Am J Epidemiol. 2011;173(7):761–7. doi: 10.1093/aje/kwq439 . · DOI · Paper page
  32. Linder A, Guh D, Boyd JH, Walley KR, Anis AH, Russell JA. Long-term (10-year) mortality of younger previously healthy patients with severe sepsis/septic shock is worse than that of patients with nonseptic critical illness and of the general population. Crit Care Med. 2014;42(10):2211–8. doi: 10.1097/CCM.0000000000000503 . · DOI
  33. Prescott HC, Langa KM, Iwashyna TJ. Readmission diagnoses after hospitalization for severe sepsis and other acute medical conditions. JAMA. 2015;313(10):1055–7. doi: 10.1001/jama.2015.1410 . · DOI · Paper page
  34. Sun A, Netzer G, Small DS, Hanish A, Fuchs BD, Gaieski DF, et al. Association between index hospitalization and hospital readmission in sepsis survivors. Crit Care Med. 2016;44(3):478–87. doi: 10.1097/CCM.0000000000001464 . · DOI
  35. Donnelly JP, Hohmann SF, Wang HE. Unplanned readmissions after hospitalization for severe sepsis at academic medical center-affiliated hospitals. Crit Care Med. 2015;43(9):1916–27. doi: 10.1097/CCM.0000000000001147 . · DOI
  36. Chang DW, Tseng CH, Shapiro MF. Rehospitalizations following sepsis: common and costly. Crit Care Med. 2015;43(10):2085–93. doi: 10.1097/CCM.0000000000001159 . · DOI
  37. Ortego A, Gaieski DF, Fuchs BD, Jones T, Halpern SD, Small DS, et al. Hospital-based acute care use in survivors of septic shock. Crit Care Med. 2015;43(4):729–37. doi: 10.1097/ccm.0000000000000693 . · DOI · Paper page
  38. Goodwin AJ, Rice DA, Simpson KN, Ford DW. Frequency, cost, and risk factors of readmissions among severe sepsis survivors. Crit Care Med. 2015;43(4):738–46. doi: 10.1097/CCM.0000000000000859 . · DOI
  39. Zilberberg MD, Shorr AF, Micek ST, Kollef MH. Risk factors for 30-day readmission among patients with culture-positive severe sepsis and septic shock: a retrospective cohort study. J Hosp Med. 2015;10(10):678–85. doi: 10.1002/jhm.2420 . · DOI
  40. Borzecki AM, Chen Q, Restuccia J, Mull HJ, Shwartz M, Gupta K et al. Do pneumonia readmissions flagged as potentially preventable by the 3M PPR software have more process of care problems? A cross-sectional observational study. BMJ Qual Saf. 2015. doi: 10.1136/bmjqs-2014-003911 . · DOI
  41. Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, et al. Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia. JAMA. 2013;309(6):587–93. doi: 10.1001/jama.2013.333 . Landmark paper on readmissions literature. · DOI
  42. Wang T, Derhovanessian A, De Cruz S, Belperio JA, Deng JC, Hoo GS. Subsequent infections in survivors of sepsis: epidemiology and outcomes. J Intensive Care Med. 2014;29(2):87–95. doi: 10.1177/0885066612467162 . · DOI
  43. Ehlenbach WJ, Hough CL, Crane PK, Haneuse SJ, Carson SS, Curtis JR, et al. Association between acute care and critical illness hospitalization and cognitive function in older adults. JAMA. 2010;303(8):763–70. doi: 10.1001/jama.2010.167 . · DOI
  44. Mathews SB, Arnold SE, Epperson CN. Hospitalization and cognitive decline: can the nature of the relationship be deciphered? Am J Geriatr Psychiatry. 2014;22(5):465–80. doi: 10.1016/j.jagp.2012.08.012 . · DOI
  45. Shah FA, Pike F, Alvarez K, Angus D, Newman AB, Lopez O, et al. Bidirectional relationship between cognitive function and pneumonia. Am J Respir Crit Care Med. 2013;188(5):586–92. doi: 10.1164/rccm.201212-2154OC . Important paper that addresses challenges with pre-illness cognitive decline and pneumonia. · DOI
  46. Davydow DS, Hough CL, Zivin K, Langa KM, Katon WJ. Depression and risk of hospitalization for pneumonia in a cohort study of older Americans. J Psychosom Res. 2014;77(6):528–34. doi: 10.1016/j.jpsychores.2014.08.002 . · DOI
  47. Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Symptoms of depression in survivors of severe sepsis: a prospective cohort study of older Americans. Am J Geriatr Psychiatry. 2013;21(9):887-97. doi:10.1016/j.jagp.2013.01.017. 10.1097/JGP.0b013e31825c0aed. · DOI
  48. Klein Klouwenberg PM, Zaal IJ, Spitoni C, Ong DS, van der Kooi AW, Bonten MJ, et al. The attributable mortality of delirium in critically ill patients: prospective cohort study. BMJ. 2014;349:g6652. doi: 10.1136/bmj.g6652 . Conceptual paper exploring acute delerium and attributable mortality. · DOI
  49. Wolters AE, van Dijk D, Pasma W, Cremer OL, Looije MF, de Lange DW, et al. Long-term outcome of delirium during intensive care unit stay in survivors of critical illness: a prospective cohort study. Crit Care. 2014;18(3):R125. doi: 10.1186/cc13929 . · DOI
  50. Girard TD, Jackson JC, Pandharipande PP, Pun BT, Thompson JL, Shintani AK, et al. Delirium as a predictor of long-term cognitive impairment in survivors of critical illness. Crit Care Med. 2010;38(7):1513–20. doi: 10.1097/CCM.0b013e3181e47be1 . · DOI
  51. Popp J. Delirium and cognitive decline: more than a coincidence. Curr Opin Neurol. 2013;26(6):634–9. doi: 10.1097/wco.0000000000000030 . · DOI
  52. Tsuruta R, Oda Y. A clinical perspective of sepsis-associated delirium. J Intensive Care. 2016;4(1):1–7. doi: 10.1186/s40560-016-0145-4 . · DOI
  53. Jones RN, Manly J, Glymour MM, Rentz DM, Jefferson AL, Stern Y. Conceptual and measurement challenges in research on cognitive reserve. J Int Neuropsychol Soc. 2011;17(4):593–601. doi: 10.1017/s1355617710001748 . · DOI
  54. Corrales-Medina VF, Alvarez KN, Weissfeld LA, Angus DC, Chirinos JA, Chang CC, et al. Association between hospitalization for pneumonia and subsequent risk of cardiovascular disease. JAMA. 2015;313(3):264–74. doi: 10.1001/jama.2014.18229 . · DOI
  55. Dalager-Pedersen M, Sogaard M, Schonheyder HC, Nielsen H, Thomsen RW. Risk for myocardial infarction and stroke after community-acquired bacteremia: a 20-year population-based cohort study. Circulation. 2014;129(13):1387–96. doi: 10.1161/circulationaha.113.006699 . · DOI
  56. Mejer N, Gotland N, Uhre ML, Westh H, Schonheyder HC, Petersen A, et al. Increased risk of arterial thromboembolic events after Staphylococcus aureus bacteremia: a matched cohort study. J Infect. 2015;71(2):167–78. doi: 10.1016/j.jinf.2015.03.010 . · DOI
  57. Winters BD, Eberlein M, Leung J, Needham DM, Pronovost PJ, Sevransky JE. Long-term mortality and quality of life in sepsis: a systematic review. Crit Care Med. 2010;38(5):1276–83. doi: 10.1097/CCM.0b013e3181d8cc1d . · DOI
  58. Nesseler N, Defontaine A, Launey Y, Morcet J, Malledant Y, Seguin P. Long-term mortality and quality of life after septic shock: a follow-up observational study. Intensive Care Med. 2013;39(5):881–8. doi: 10.1007/s00134-013-2815-1 . · DOI
  59. Uthbertson BH, Elders A, Hall S, Taylor J, MacLennan G, Mackirdy F, et al. Mortality and quality of life in the five years after severe sepsis. Crit Care. 2013;17(2):R70. doi: 10.1186/cc12616 . · DOI
  60. Yende S, Austin S, Rhodes A, Finfer S, Opal S, Thompson T et al. Long-Term Quality of Life Among Survivors of Severe Sepsis: Analyses of Two International Trials. Crit Care Med. 2016. doi: 10.1097/CCM.0000000000001658 . · DOI
  61. Heyland DK, Hopman W, Coo H, Tranmer J, McColl MA. Long-term health-related quality of life in survivors of sepsis. Short Form 36: a valid and reliable measure of health-related quality of life. Crit Care Med. 2000;28(11):3599–605. · DOI
  62. Granja C, Dias C, Costa-Pereira A, Sarmento A. Quality of life of survivors from severe sepsis and septic shock may be similar to that of others who survive critical illness. Crit Care. 2004;8(2):R91–8. doi: 10.1186/cc2818 . · DOI
  63. Orwelius L, Lobo C, Teixeira Pinto A, Carneiro A, Costa-Pereira A, Granja C. Sepsis patients do not differ in health-related quality of life compared with other ICU patients. Acta Anaesthesiol Scand. 2013;57(9):1201–5. doi: 10.1111/aas.12164 . · DOI
  64. Feemster LC, Cooke CR, Rubenfeld GD, Hough CL, Ehlenbach WJ, Au DH et al. The Influence of Hospitalization or ICU Admission on Declines in Health-Related Quality of Life. Ann Am Thorac Soc. 2014. doi: 10.1513/AnnalsATS.201404-172OC . · DOI
  65. Esper AM, Martin GS. The impact of comorbid [corrected] conditions on critical illness. Crit Care Med. 2011;39(12):2728–35. doi: 10.1097/CCM.0b013e318236f27e . · DOI
  66. Weiterer S, Uhle F, Lichtenstern C, Siegler BH, Bhuju S, Jarek M, et al. Sepsis induces specific changes in histone modification patterns in human monocytes. PLoS One. 2015;10(3):e0121748. doi: 10.1371/journal.pone.0121748 . · DOI
  67. Bomsztyk K, Mar D, An D, Sharifian R, Mikula M, Gharib SA, et al. Experimental acute lung injury induces multi-organ epigenetic modifications in key angiogenic genes implicated in sepsis-associated endothelial dysfunction. Crit Care. 2015;19:225. doi: 10.1186/s13054-015-0943-4 . · DOI
  68. Bataille A, Galichon P, Ziliotis M-J, Sadia I, Hertig A. Epigenetic changes during sepsis: on your marks! Crit Care. 2015;19:358. doi: 10.1186/s13054-015-1068-5 . · DOI
  69. Venet F, Lukaszewicz AC, Payen D, Hotchkiss R, Monneret G. Monitoring the immune response in sepsis: a rational approach to administration of immunoadjuvant therapies. Curr Opin Immunol. 2013;25(4):477–83. doi: 10.1016/j.coi.2013.05.006 . · DOI
  70. Singer BH, Newstead MW, Zeng X, Cooke CL, Thompson RC, Singer K, et al. Cecal ligation and puncture results in long-term central nervous system myeloid inflammation. PLoS One. 2016;11(2):e0149136. doi: 10.1371/journal.pone.0149136 . · DOI
  71. Chavan SS, Huerta PT, Robbiati S, Valdes-Ferrer SI, Ochani M, Dancho M, et al. HMGB1 mediates cognitive impairment in sepsis survivors. Mol Med. 2012;18:930–7. doi: 10.2119/molmed.2012.00195 . · DOI
  72. Dal-Pizzol F, Pasquali M, Quevedo J, Gelain DP, Moreira JC. Is there a role for high mobility group box 1 and the receptor for advanced glycation end products in the genesis of long-term cognitive impairment in sepsis survivors? Mol Med. 2012;18:1357-8; author reply 9. doi: 10.2119/molmed.2012.00317 . · DOI
  73. Kaynar A, Yende S, Zhu L, Frederick D, Chambers R, Burton C, et al. Effects of intra-abdominal sepsis on atherosclerosis in mice. Crit Care. 2014;18(5):469. · DOI
  74. Sweeney TE, Shidham A, Wong HR, Khatri P. A comprehensive time-course-based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set. Sci Transl Med. 2015;7(287):287ra71. doi: 10.1126/scitranslmed.aaa5993 . · DOI
  75. Xiao W, Mindrinos MN, Seok J, Cuschieri J, Cuenca AG, Gao H, et al. A genomic storm in critically injured humans. J Exp Med. 2011;208(13):2581–90. doi: 10.1084/jem.20111354 . · DOI
  76. van Vught LA, Klein Klouwenberg PM, Spitoni C, Scicluna BP, Wiewel MA, Horn J, et al. Incidence, risk factors, and attributable mortality of secondary infections in the intensive care unit after admission for sepsis. JAMA. 2016;315(14):1469–79. doi: 10.1001/jama.2016.2691 . · DOI
  77. Arens C, Bajwa SA, Koch C, Siegler BH, Schneck E, Hecker A, et al. Sepsis-induced long-term immune paralysis—results of a descriptive, explorative study. Crit Care. 2016;20(1):93. doi: 10.1186/s13054-016-1233-5 . · DOI
  78. Boomer JS, To K, Chang KC, Takasu O, Osborne DF, Walton AH, et al. Immunosuppression in patients who die of sepsis and multiple organ failure. JAMA. 2011;306(23):2594–605. doi: 10.1001/jama.2011.1829 . · DOI
  79. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, Manichanh C, et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature. 2010;464(7285):59–65. doi: 10.1038/nature08821 . · DOI · Paper page
  80. Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, et al. Diversity of the human intestinal microbial flora. Science. 2005;308(5728):1635–8. doi: 10.1126/science.1110591 . · DOI · Paper page
  81. Pham TA, Lawley TD. Emerging insights on intestinal dysbiosis during bacterial infections. Curr Opin Microbiol. 2014;17:67–74. doi: 10.1016/j.mib.2013.12.002 . · DOI
  82. Francino MP. Antibiotics and the human gut microbiome: dysbioses and accumulation of resistances. Front Microbiol. 2015;6:1543. doi: 10.3389/fmicb.2015.01543 . · DOI

Cited by

Sorted by citations

See all 180

Metadata

Authors
Shankar-Hari, M., & Rubenfeld, G. D.
Venue
Current Infectious Disease Reports
Published
2016-10-06
Volume
18
Issue
11
ISSN
  • 1523-3847
  • 1534-3146
Cited by
180
References
7
Language
en

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