Evidence map›Paper›PMID 40635382›Full record

ReviewMicrobial biotechnology2025

Phage-Antibiotic Combinations for Pseudomonas: Successes in the Clinic and In Vitro Tenuously Connected.

Rabia Fatima, Alexander P Hynes

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. 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

2 authors.

Rabia FatimaDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Alexander P HynesDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-7058-6006

Funding

Farncombe Family Chair in Phage BiologyNatural Sciences and Engineering Research Council of Canada 2018-05996
6 · The paper itself

Abstract

Antimicrobial resistance challenges researchers to innovate strategies to enhance the effectiveness of our existing antibiotics. Bacteriophage (phage, bacterial virus)-antibiotic combinations present a promising synergistic approach, particularly for drug-resistant infections such as those caused by Pseudomonas aeruginosa. This approach offers many advantages: enhanced bacterial killing (both planktonic and biofilm), eliminating persister cells, re-sensitization to drugs, and inhibiting resistance spread by targeting plasmids encoding resistant genes. Interestingly, even phages traditionally excluded from therapy - those capable of entering dormancy in the bacterial host - exhibit unique, potent synergy with antibiotics. Despite these clear in vitro benefits and the comparatively strong performance of phage antibiotic combinations in the clinic, translating in vitro efficacy to patient outcomes remain challenging. The lack of standardized metrics for measuring phage-antibiotic interaction complicates cross-study comparisons. In many instances, it is also difficult to translate these in vitro findings to clinically relevant metrics - for example, increased progeny size in vitro is unlikely to contribute meaningfully to treatment success. Addressing these gaps will allow us to fully harness the potential of phage-antibiotic combinations and bridge the disconnect between in vitro results and clinical success.

Indexed as

Anti-Bacterial AgentsBacteriophagesPhage TherapyPseudomonas aeruginosaPseudomonas InfectionsPseudomonas PhagesHumansAnti-Bacterial Agentsbacteriophagephage antibiotic synergyPseudomonas aeruginosa

Identifiers

PMID40635382
PMCPMC12241701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.