Evidence map›Paper›PMID 31181106›Full record

ArticlePloS one2019

Selection and co-selection of antibiotic resistances among Escherichia coli by antibiotic use in primary care: An ecological analysis.

Koen B Pouwels, Berit Muller-Pebody, Timo Smieszek, Susan Hopkins, Julie V Robotham

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. One Health Determinants ofInternational journal of molecular sciences · 2023
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Temporal Trends ofAntibiotics (Basel, Switzerland) · 2025
    Article
  13. Unlocking Nitrofurantoin: Understanding Molecular Mechanisms of Action and Resistance in Enterobacterales.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Wastewater-Based Surveillance of Antimicrobial Resistance in Niger: An Exploratory Study.The American journal of tropical medicine and hygiene · 2023
    Article
  20. Review
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

5 authors.

Koen B PouwelsModelling and Economics Unit, National Infection Service, Public Health England, London, United Kingdom.ORCID 0000-0001-7097-8950
Berit Muller-PebodyHealthcare-Associated Infection and Antimicrobial Resistance Division, National Infection Service, Public Health England, London, United Kingdom.ORCID 0000-0002-8874-480X
Timo SmieszekModelling and Economics Unit, National Infection Service, Public Health England, London, United Kingdom.
Susan HopkinsHealthcare-Associated Infection and Antimicrobial Resistance Division, National Infection Service, Public Health England, London, United Kingdom.ORCID 0000-0001-5179-5702
Julie V RobothamModelling and Economics Unit, National Infection Service, Public Health England, London, United Kingdom.

Funding

Department of Health HPRU-2012-10041
6 · The paper itself

Abstract

backgroundThe majority of studies that link antibiotic usage and resistance focus on simple associations between the resistance against a specific antibiotic and the use of that specific antibiotic. However, the relationship between antibiotic use and resistance is more complex. Here we evaluate selection and co-selection by assessing which antibiotics, including those mainly prescribed for respiratory tract infections, are associated with increased resistance to various antibiotics among Escherichia coli isolated from urinary samples.

methodsMonthly primary care prescribing data were obtained from National Health Service (NHS) Digital. Positive E. coli records from urine samples in English primary care (n = 888,207) between April 2014 and January 2016 were obtained from the Second Generation Surveillance System. Elastic net regularization was used to evaluate associations between prescribing of different antibiotic groups and resistance against amoxicillin, cephalexin, ciprofloxacin, co-amoxiclav and nitrofurantoin at the clinical commissioning group (CCG) level. England is divided into 209 CCGs, with each NHS practice prolonging to one CCG.

resultsAmoxicillin prescribing (measured in DDD/ 1000 inhabitants / day) was positively associated with amoxicillin (RR 1.03, 95% CI 1.01-1.04) and ciprofloxacin (RR 1.09, 95% CI 1.04-1.17) resistance. In contrast, nitrofurantoin prescribing was associated with lower levels of resistance to amoxicillin (RR 0.92, 95% CI 0.84-0.97). CCGs with higher levels of trimethoprim prescribing also had higher levels of ciprofloxacin resistance (RR 1.34, 95% CI 1.10-1.59).

conclusionAmoxicillin, which is mainly (and often unnecessarily) prescribed for respiratory tract infections is associated with increased resistance against various antibiotics among E. coli causing urinary tract infections. Our findings suggest that when predicting the potential impact of interventions on antibiotic resistances it is important to account for use of other antibiotics, including those typically used for other indications.

Indexed as

Drug Resistance, BacterialAmoxicillinAnti-Bacterial AgentsEnglandEscherichia coliEscherichia coli InfectionsHumansPrimary Health CareRespiratory Tract InfectionsState MedicineUrinary Tract InfectionsAmoxicillinAnti-Bacterial Agents

Identifiers

PMID31181106
PMCPMC6557515

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.