Evidence map›Paper›PMID 33564047›Full record

SynthesisScientific reports2021

High prevalence of antibiotic resistance in commensal Escherichia coli from healthy human sources in community settings.

Emmanuel Nji, Joseph Kazibwe, Thomas Hambridge, Carolyn Alia Joko, Amma Aboagyewa Larbi, Lois Afua Okyerewaa Damptey, Nana Adoma Nkansa-Gyamfi, Cecilia Stålsby Lundborg, La Thi Quynh Lien

Abstract readSystematic Review
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Draft genome sequences of multidrug-resistantMicrobiology resource announcements · 2025
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  17. The Invisible Threat of Antibiotic Resistance in Food.Antibiotics (Basel, Switzerland) · 2025
    Review
  18. Detection of Antibiotic-Resistance Genes in Drinking Water: A Study at a University in the Peruvian Amazon.International journal of environmental research and public health · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Emmanuel NjiBioStruct-Africa, Vårby, 143 43, Stockholm, Sweden. emmanuel.nji@biostructafrica.org.
Joseph KazibweDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Thomas HambridgeDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, 3015 GD, Rotterdam, The Netherlands.
Carolyn Alia JokoBioStruct-Africa, Vårby, 143 43, Stockholm, Sweden.
Amma Aboagyewa LarbiBioStruct-Africa, Vårby, 143 43, Stockholm, Sweden.
Lois Afua Okyerewaa DampteyThe Open University, School of Engineering and Innovation, Walton Hall, Milton Keynes, MK7 6AA, UK.
Nana Adoma Nkansa-GyamfiBioStruct-Africa, Vårby, 143 43, Stockholm, Sweden.
Cecilia Stålsby LundborgHealth Systems and Policy (HSP): Improving the Use of Medicines, Department of Global Public Health, Karolinska Institutet, Tomtebodavägen 18A, 17177, Stockholm, Sweden.
La Thi Quynh LienDepartment of Pharmaceutical Management and Pharmaco-Economics, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem District, Hanoi, 110403, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a global health crisis that requires urgent action to stop its spread. To counteract the spread of antibiotic resistance, we must improve our understanding of the origin and spread of resistant bacteria in both community and healthcare settings. Unfortunately, little attention is being given to contain the spread of antibiotic resistance in community settings (i.e., locations outside of a hospital inpatient, acute care setting, or a hospital clinic setting), despite some studies have consistently reported a high prevalence of antibiotic resistance in the community settings. This study aimed to investigate the prevalence of antibiotic resistance in commensal Escherichia coli isolates from healthy humans in community settings in LMICs. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we synthesized studies conducted from 1989 to May 2020. A total of 9363 articles were obtained from the search and prevalence data were extracted from 33 articles and pooled together. This gave a pooled prevalence of antibiotic resistance (top ten antibiotics commonly prescribed in LMICs) in commensal E. coli isolates from human sources in community settings in LMICs of: ampicillin (72% of 13,531 isolates, 95% CI: 65-79), cefotaxime (27% of 6700 isolates, 95% CI: 12-44), chloramphenicol (45% of 7012 isolates, 95% CI: 35-53), ciprofloxacin (17% of 10,618 isolates, 95% CI: 11-25), co-trimoxazole (63% of 10,561 isolates, 95% CI: 52-73), nalidixic acid (30% of 9819 isolates, 95% CI: 21-40), oxytetracycline (78% of 1451 isolates, 95% CI: 65-88), streptomycin (58% of 3831 isolates, 95% CI: 44-72), tetracycline (67% of 11,847 isolates, 95% CI: 59-74), and trimethoprim (67% of 3265 isolates, 95% CI: 59-75). Here, we provided an appraisal of the evidence of the high prevalence of antibiotic resistance by commensal E. coli in community settings in LMICs. Our findings will have important ramifications for public health policy design to contain the spread of antibiotic resistance in community settings. Indeed, commensal E. coli is the main reservoir for spreading antibiotic resistance to other pathogenic enteric bacteria via mobile genetic elements.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsHumansPrevalenceAnti-Bacterial Agents

Identifiers

PMID33564047
PMCPMC7873077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.