Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 378

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Quantifying drivers of antibiotic resistance in humans: a systematic review

Open access
Chatterjee, Anuja, Modarai, Maryam, Naylor, Nichola R, Boyd, Sara E, Atun, Rifat, Barlow, James, Holmes, Alison H, Johnson, Alan, Robotham, Julie V·2018·The Lancet Infectious Diseases
DOI 10.1016/s1473-3099(18)30296-2
Open this paper in CoChat — free account

Abstract

Mitigating the risks of antibiotic resistance requires a horizon scan linking the quality with the quantity of data reported on drivers of antibiotic resistance in humans, arising from the human, animal, and environmental reservoirs. We did a systematic review using a One Health approach to survey the key drivers of antibiotic resistance in humans. Two sets of reviewers selected 565 studies from a total of 2819 titles and abstracts identified in Embase, MEDLINE, and Scopus (2005-18), and the European Centre for Disease Prevention and Control, the US Centers for Disease Control and Prevention, and WHO (One Health data). Study quality was assessed in accordance with Cochrane recommendations. Previous antibiotic exposure, underlying disease, and invasive procedures were the risk factors with most supporting evidence identified from the 88 risk factors retrieved. The odds ratios of antibiotic resistance were primarily reported to be between 2 and 4 for these risk factors when compared with their respective controls or baseline risk groups. Food-related transmission from the animal reservoir and water-related transmission from the environmental reservoir were frequently quantified. Uniformly quantifying relationships between risk factors will help researchers to better understand the process by which antibiotic resistance arises in human infections.

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 · 10.1016/s1473-3099(18)30296-2

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

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

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

Show all 5 references

Research works printed but not linked: 61

  1. Holmes, 2016, Understanding the mechanisms and drivers of antimicrobial resistance, Lancet, 387, 176, 10.1016/S0140-6736(15)00473-0 · DOI · Paper page
  2. Marshall, 2011, Food animals and antimicrobials: impacts on human health, Clin Microbiol Rev, 24, 718, 10.1128/CMR.00002-11 · DOI · Paper page
  3. Robinson, 2016, Antibiotic resistance is the quintessential One Health issue, Trans R Soc Trop Med Hyg, 110, 377, 10.1093/trstmh/trw048 · DOI · Paper page
  4. Cabello, 2016, Aquaculture as yet another environmental gateway to the development and globalisation of antimicrobial resistance, Lancet Infect Dis, 16, e127, 10.1016/S1473-3099(16)00100-6 · DOI · Paper page
  5. McCullough, 2015, Not in my backyard: a systematic review of clinicians' knowledge and beliefs about antibiotic resistance, J Antimicrob Chemother, 70, 2465, 10.1093/jac/dkv164 · DOI
  6. Bryce, 2016, Global prevalence of antibiotic resistance in paediatric urinary tract infections caused by Escherichia coli and association with routine use of antibiotics in primary care: systematic review and meta-analysis, BMJ, 352, i939, 10.1136/bmj.i939 · DOI · Paper page
  7. Forbes, 2015, A systematic review and meta-analysis of risk factors for postherpetic neuralgia, Pain, 157, 30, 10.1097/j.pain.0000000000000307 · DOI · Paper page
  8. Voor, 2014, A systematic review and meta-analyses show that carbapenem use and medical devices are the leading risk factors for carbapenem-resistant Pseudomonas aeruginosa, Antimicrob Agents Chemother, 58, 2626, 10.1128/AAC.01758-13 · DOI
  9. Hendrik, 2015, Clinical and molecular epidemiology of extended-spectrum beta-lactamase-producing Klebsiella spp.: a systematic review and meta-analyses, PLoS One, 10, e0140754, 10.1371/journal.pone.0140754 · DOI
  10. McKinnell, 2013, A systematic literature review and meta-analysis of factors associated with methicillin-resistant Staphylococcus aureus colonization at time of hospital or intensive care unit admission, Infect Control Hosp Epidemiol, 34, 1077, 10.1086/673157 · DOI
  11. Pathirana, 2017, Mapping the drivers of overdiagnosis to potential solutions, BMJ, 358, j3879, 10.1136/bmj.j3879 · DOI · Paper page
  12. Bouchard, 2017, Risk factors in periodontology: a conceptual framework, J Clin Periodontol, 44, 125, 10.1111/jcpe.12650 · DOI
  13. 2015, ECDC/EFSA/EMA first joint report on the integrated analysis of the consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals, EFSA Journal, 13, 4006, 10.2903/j.efsa.2015.4006 · DOI · Paper page
  14. 2017, ECDC/EFSA/EMA second joint report on the integrated analysis of the consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals, EFSA Journal, 15, 4872
  15. 2018, The European Union summary report on antimicrobial resistance in zoonotic and indicator bacteria from humans, animals and food in 2016, EFSA Journal, 16, 5182
  16. Nagy, 2015, Virulence and antimicrobial resistance determinants of verotoxigenic Escherichia coli (VTEC) and of multidrug-resistant E coli from foods of animal origin illegally imported to the EU by flight passengers, Int J Food Microbiol, 209, 52, 10.1016/j.ijfoodmicro.2015.06.026 · DOI
  17. Kuenzli, 2014, High colonization rates of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli in Swiss travellers to south Asia—a prospective observational multicentre cohort study looking at epidemiology, microbiology and risk factors, BMC Infect Dis, 14, 528, 10.1186/1471-2334-14-528 · DOI
  18. Jiang, 2014, Detection of qnr, aac(6′)-Ib-cr and qepA genes in Escherichia coli isolated from cooked meat products in Henan, China, Int J Food Microbiol, 187, 22, 10.1016/j.ijfoodmicro.2014.06.026 · doi:10.1016/j.ijfoodmicro.2014.06.026
  19. Canizalez-Roman, 2013, Prevalence and antibiotic resistance profiles of diarrheagenic Escherichia coli strains isolated from food items in northwestern Mexico, Int J Food Microbiol, 164, 36, 10.1016/j.ijfoodmicro.2013.03.020 · DOI
  20. Coleman, 2012, The role of drinking water in the transmission of antimicrobial-resistant E coli, Epidemiol Infect, 140, 633, 10.1017/S0950268811001038 · DOI
  21. Pollett, 2012, Campylobacter antimicrobial resistance in Peru: a ten-year observational study, BMC Infect Dis, 12, 193, 10.1186/1471-2334-12-193 · DOI
  22. Rosengren, 2010, Occurrence of foodborne pathogens and characterization of Staphylococcus aureus in cheese produced on farm-dairies, Int J Food Microbiol, 144, 263, 10.1016/j.ijfoodmicro.2010.10.004 · DOI
  23. Presi, 2009, Risk scoring for setting priorities in a monitoring of antimicrobial resistance in meat and meat products, Int J Food Microbiol, 130, 94, 10.1016/j.ijfoodmicro.2008.12.022 · doi:10.1016/j.ijfoodmicro.2008.12.022
  24. Dambrosio, 2007, Escherichia coli O26 in minced beef: prevalence, characterization and antimicrobial resistance pattern, Int J Food Microbiol, 118, 218, 10.1016/j.ijfoodmicro.2007.07.041 · doi:10.1016/j.ijfoodmicro.2007.07.041
  25. Frye, 2007, Prevalence, distribution and characterisation of ceftiofur resistance in Salmonella enterica isolated from animals in the USA from 1999 to 2003, Int J Antimicrob Agents, 30, 134, 10.1016/j.ijantimicag.2007.03.013 · DOI
  26. Normanno, 2007, Occurrence, characterization and antimicrobial resistance of enterotoxigenic Staphylococcus aureus isolated from meat and dairy products, Int J Food Microbiol, 115, 290, 10.1016/j.ijfoodmicro.2006.10.049 · DOI · Paper page
  27. Walsh, 2006, Antimicrobial resistance in Irish isolates of verocytotoxigenic Escherichia coli (E coli)-VTEC, Int J Food Microbiol, 109, 173, 10.1016/j.ijfoodmicro.2006.01.023 · doi:10.1016/j.ijfoodmicro.2006.01.023
  28. Messi, 2006, Vancomycin-resistant enterococci (VRE) in meat and environmental samples, Int J Food Microbiol, 107, 218, 10.1016/j.ijfoodmicro.2005.08.026 · doi:10.1016/j.ijfoodmicro.2005.08.026
  29. Argudín, 2012, Genotypes, exotoxin gene content, and antimicrobial resistance of Staphylococcus aureus strains recovered from foods and food handlers, Appl Environ Microbiol, 78, 2930, 10.1128/AEM.07487-11 · DOI
  30. Hauser, 2010, Pork contaminated with Salmonella enterica serovar 4,[5],12:i:–, an emerging health risk for humans, Appl Environ Microbiol, 76, 4601, 10.1128/AEM.02991-09 · doi:10.1128/aem.02991-09
  31. Ben Slama, 2010, Prevalence of broad-spectrum cephalosporin-resistant Escherichia coli isolates in food samples in Tunisia, and characterization of integrons and antimicrobial resistance mechanisms implicated, Int J Food Microbiol, 137, 281, 10.1016/j.ijfoodmicro.2009.12.003 · DOI
  32. Norström, 2006, Antimicrobial resistance in Campylobacter jejuni from humans and broilers in Norway, Epidemiol Infect, 134, 127, 10.1017/S0950268805004814 · DOI
  33. Leistner, 2013, Risk factors associated with the community-acquired colonization of extended-spectrum beta-lactamase (ESBL) positive Escherichia coli. An exploratory case-control study, PLoS One, 8, e74323, 10.1371/journal.pone.0074323 · DOI
  34. Vandendriessche, 2013, Prevalence, risk factors and genetic diversity of methicillin-resistant Staphylococcus aureus carried by humans and animals across livestock production sectors, J Antimicrob Chemother, 68, 1510, 10.1093/jac/dkt047 · DOI
  35. Coleman, 2013, Contamination of Canadian private drinking water sources with antimicrobial resistant Escherichia coli, Water Res, 47, 3026, 10.1016/j.watres.2013.03.008 · DOI
  36. van Cleef, 2011, Livestock-associated methicillin-resistant Staphylococcus aureus in humans, Europe, Emerg Infect Dis, 17, 502, 10.3201/eid1703.101036 · DOI · Paper page
  37. Alali, 2010, Assessing the similarity of antimicrobial resistance phenotypes among fecal Escherichia coli isolates from two aggregated occupational cohorts of humans versus swine using cluster analysis and multivariate statistics, Prev Vet Med, 94, 77, 10.1016/j.prevetmed.2009.11.014 · doi:10.1016/j.prevetmed.2009.11.014
  38. Alali, 2009, Relationship between level of antibiotic use and resistance among Escherichia coli isolates from integrated multi-site cohorts of humans and swine, Prev Vet Med, 90, 160, 10.1016/j.prevetmed.2009.05.018 · DOI
  39. Köck, 2009, Prevalence and molecular characteristics of methicillin-resistant Staphylococcus aureus (MRSA) among pigs on German farms and import of livestock-related MRSA into hospitals, Eur J Clin Microbiol Infect Dis, 28, 1375, 10.1007/s10096-009-0795-4 · DOI · Paper page
  40. Price, 2007, Elevated risk of carrying gentamicin-resistant Escherichia coli among U.S. poultry workers, Environ Health Perspect, 115, 1738, 10.1289/ehp.10191 · DOI
  41. Huijbers, 2015, Methicillin-resistant Staphylococcus aureus and extended-spectrum and AmpC β-lactamase-producing Escherichia coli in broilers and in people living and/or working on organic broiler farms, Vet Microbiol, 176, 120, 10.1016/j.vetmic.2014.12.010 · DOI
  42. Meyer, 2012, Pet animals and foreign travel are risk factors for colonisation with extended-spectrum β-lactamase-producing Escherichia coli, Infection, 40, 685, 10.1007/s15010-012-0324-8 · DOI · Paper page
  43. Czekalski, 2015, Does human activity impact the natural antibiotic resistance background? Abundance of antibiotic resistance genes in 21 Swiss lakes, Environ Int, 81, 45, 10.1016/j.envint.2015.04.005 · DOI · Paper page
  44. Machado, 2014, Prevalence of antibiotic resistance in bacteria isolated from drinking well water available in Guinea-Bissau (West Africa), Ecotoxicol Environ Saf, 106, 188, 10.1016/j.ecoenv.2014.04.037 · DOI
  45. Barkovskii, 2012, Persistence and profiles of tetracycline resistance genes in swine farms and impact of operational practices on their occurrence in farms' vicinities, Water Air Soil Pollut, 223, 49, 10.1007/s11270-011-0838-1 · doi:10.1007/s11270-011-0838-1
  46. DeLorenzo, 2012, A long-term monitoring study of chlorophyll, microbial contaminants, and pesticides in a coastal residential stormwater pond and its adjacent tidal creek, Environ Monit Assess, 184, 343, 10.1007/s10661-011-1972-3 · DOI
  47. Akinyemi, 2011, Prevalence of multiple drug resistance and screening of enterotoxin (stn) gene in Salmonella enterica serovars from water sources in Lagos, Nigeria, Public Health, 125, 65, 10.1016/j.puhe.2010.11.010 · DOI
  48. Sadowy, 2014, Drug-resistant and hospital-associated Enterococcus faecium from wastewater, riverine estuary and anthropogenically impacted marine catchment basin, BMC Microbiol, 14, 66, 10.1186/1471-2180-14-66 · DOI
  49. Waturangi, 2013, Edible ice in Jakarta, Indonesia, is contaminated with multidrug-resistant Vibrio cholerae with virulence potential, J Med Microbiol, 62, 352, 10.1099/jmm.0.048769-0 · DOI
  50. van Hoek, 2015, Prevalence and characterization of ESBL- and AmpC-producing Enterobacteriaceae on retail vegetables, Int J Food Microbiol, 204, 1, 10.1016/j.ijfoodmicro.2015.03.014 · DOI
  51. Arvaniti, 2012, The importance of colonization pressure in multiresistant Acinetobacter baumannii acquisition in a Greek intensive care unit, Crit Care, 16, R102, 10.1186/cc11383 · DOI
  52. Tacconelli, 2016, STROBE-AMS: recommendations to optimise reporting of epidemiological studies on antimicrobial resistance and informing improvement in antimicrobial stewardship, BMJ Open, 6, e010134, 10.1136/bmjopen-2015-010134 · DOI
  53. Papadimitriou-Olivgeris, 2014, The role of colonization pressure in the dissemination of colistin or tigecycline resistant KPC-producing Klebsiella pneumoniae in critically ill patients, Infection, 42, 883, 10.1007/s15010-014-0653-x · DOI
  54. Hamel, 2010, Exposure to hospital roommates as a risk factor for health care-associated infection, Am J Infect Control, 38, 173, 10.1016/j.ajic.2009.08.016 · doi:10.1016/j.ajic.2009.08.016
  55. Mitchell, 2015, Risk of organism acquisition from prior room occupants: a systematic review and meta-analysis, J Hosp Infect, 91, 211, 10.1016/j.jhin.2015.08.005 · DOI · Paper page
  56. Lin, 2017, A meta-analysis of the rates of Staphylococcus aureus and methicillin-resistant S aureus contamination on the surfaces of environmental objects that health care workers frequently touch, Am J Infect Control, 45, 421, 10.1016/j.ajic.2016.11.004 · DOI
  57. Flokas, 2017, Vancomycin-resistant enterococci colonisation, risk factors and risk for infection among hospitalised paediatric patients: a systematic review and meta-analysis, Int J Antimicrob Agents, 49, 565, 10.1016/j.ijantimicag.2017.01.008 · DOI
  58. Hobbs, 2016, Clinical workload in UK primary care: a retrospective analysis of 100 million consultations in England, 2007–14, Lancet, 387, 2323, 10.1016/S0140-6736(16)00620-6 · DOI · Paper page
  59. See, 2017, Socioeconomic factors explain racial disparities in invasive community-associated methicillin-resistant Staphylococcus aureus disease rates, Clin Infect Dis, 64, 597, 10.1093/cid/ciw808 · DOI · Paper page
  60. Charani, 2013, Understanding the determinants of antimicrobial prescribing within hospitals: the role of ‘prescribing etiquette’, Clin Infect Dis, 57, 188, 10.1093/cid/cit212 · DOI · Paper page
  61. Hoelzer, 2017, Antimicrobial drug use in food-producing animals and associated human health risks: what, and how strong, is the evidence?, BMC Vet Res, 13, 211, 10.1186/s12917-017-1131-3 · DOI · Paper page

Cited by

See all 378

Metadata

Authors
Chatterjee, A., Modarai, M., Naylor, N. R., Boyd, S. E., Atun, R., Barlow, J., Holmes, A. H., Johnson, A., & Robotham, J. V.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2018-12
Volume
18
Issue
12
Pages
e368-e378
ISSN
1473-3099 (ISSN-L)
DOI
10.1016/s1473-3099(18)30296-2
OpenAlex
W2888993305
Cited by
378
References
5
FWCI
4.92
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Quantifying drivers of antibiotic resistance in humans: a systematic review. https://app.cochat.ai/papers/10.1016/s1473-3099(18)30296-2
The paper
Chatterjee, A., Modarai, M., Naylor, N. R., Boyd, S. E., Atun, R., Barlow, J., Holmes, A. H., Johnson, A., & Robotham, J. V. (2018). Quantifying drivers of antibiotic resistance in humans: a systematic review. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(18)30296-2

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.