Evidence map›Paper›PMID 30683887›Full record

ReviewNature reviews. Microbiology2019

Drug combinations: a strategy to extend the life of antibiotics in the 21st century.

Mike Tyers, Gerard D Wright

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 429 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
429citing 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

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

  1. Antibiotic synergy againstAntimicrobial agents and chemotherapy · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. A Hypergraph-Based Model for Predicting Potential Drug Combinations in Cancer Therapy.Interdisciplinary sciences, computational life sciences · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. FirstMicrobiology spectrum · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. bioRxiv : the preprint server for biology · 2026
    Article
  20. Review

369 more citing papers are in PubMed but not listed here.

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

2 authors.

Mike TyersInstitute for Research in Immunology and Cancer, Université de Montréal, Montréal, Quebec, Canada.
Gerard D WrightM. G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada. wrightge@mcmaster.ca.ORCID http://orcid.org/0000-0002-9129-7131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance threatens a resurgence of life-threatening bacterial infections and the potential demise of many aspects of modern medicine. Despite intensive drug discovery efforts, no new classes of antibiotics have been developed into new medicines for decades, in large part owing to the stringent chemical, biological and pharmacological requisites for effective antibiotic drugs. Combinations of antibiotics and of antibiotics with non-antibiotic activity-enhancing compounds offer a productive strategy to address the widespread emergence of antibiotic-resistant strains. In this Review, we outline a theoretical and practical framework for the development of effective antibiotic combinations.

Indexed as

Drug DiscoveryDrug Resistance, Multiple, BacterialDrug Therapy, CombinationAnti-Bacterial AgentsBacteriaBacterial InfectionsClinical Trials as TopicDrug AntagonismDrug SynergismHumansAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.