Evidence map›Paper›PMID 39704726›Full record

SynthesiseLife2024

The effect of combining antibiotics on resistance: A systematic review and meta-analysis.

Berit Siedentop, Viacheslav N Kachalov, Christopher Witzany, Matthias Egger, Roger D Kouyos, Sebastian Bonhoeffer

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Comparative Efficacy of Triple Versus Quadruple Therapy for the Eradication ofJGH open : an open access journal of gastroenterology and hepatology · 2025
    Review
  8. Article
  9. The impact of treatment strategies on the epidemiological dynamics of plasmid-conferred antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Berit SiedentopInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0802-7681
Viacheslav N KachalovDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-0310-3764
Christopher WitzanyInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7128-6419
Matthias EggerInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7462-5132
Roger D Kouyos *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9220-8348
Sebastian Bonhoeffer *Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8052-3925

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
National Institute of Allergy and Infectious Diseases AI069924NIAID NIH HHS U01 AI069924Swiss National Science Foundation 310030B_176401Swiss National Science Foundation 324730_207957Swiss National Science Foundation 32FP30-174281
6 · The paper itself

Abstract

Background: Under which conditions antibiotic combination therapy decelerates rather than accelerates resistance evolution is not well understood. We examined the effect of combining antibiotics on within-patient resistance development across various bacterial pathogens and antibiotics. Methods: We searched CENTRAL, EMBASE, and PubMed for (quasi)-randomised controlled trials (RCTs) published from database inception to 24 November 2022. Trials comparing antibiotic treatments with different numbers of antibiotics were included. Patients were considered to have acquired resistance if, at the follow-up culture, a resistant bacterium (as defined by the study authors) was detected that had not been present in the baseline culture. We combined results using a random effects model and performed meta-regression and stratified analyses. The trials' risk of bias was assessed with the Cochrane tool. Results: 42 trials were eligible and 29, including 5054 patients, qualified for statistical analysis. In most trials, resistance development was not the primary outcome and studies lacked power. The combined odds ratio for the acquisition of resistance comparing the group with the higher number of antibiotics with the comparison group was 1.23 (95% CI 0.68-2.25), with substantial between-study heterogeneity ( Conclusions: The evidence for combining a higher number of antibiotics compared to fewer from RCTs is scarce and overall compatible with both benefit or harm. Trials powered to detect differences in resistance development or well-designed observational studies are required to clarify the impact of combination therapy on resistance. Funding: Support from the Swiss National Science Foundation (grant 310030B_176401 (SB, BS, CW), grant 32FP30-174281 (ME), grant 324730_207957 (RDK)) and from the National Institute of Allergy and Infectious Diseases (NIAID, cooperative agreement AI069924 (ME)) is gratefully acknowledged.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsDrug Resistance, BacterialBacteriaDrug Therapy, CombinationHumansRandomized Controlled Trials as TopicAnti-Bacterial Agentsantibiotic resistancecombination therapyhumaninfectious diseasemedicinemeta-analysismicrobiologyresistance evolutionsystematic review

Identifiers

PMID39704726
PMCPMC11661791

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.