Evidence map›Paper›PMID 39433753›Full record

ReviewNature communications2024

Innovative approaches in phenotypic beta-lactamase detection for personalised infection management.

Jennifer Lawrence, Danny O'Hare, Joseph van Batenburg-Sherwood, Mark Sutton, Alison Holmes, Timothy Miles Rawson

Abstract readReview
In one paragraph

Review in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  15. Article
  16. Multidrug-ResistantTropical medicine and infectious disease · 2025
    Article
  17. Revisiting the Metallo-International journal of microbiology · 2025
    Review
  18. 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

6 authors.

Jennifer LawrenceThe NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London, United Kingdom. j.lawrence21@imperial.ac.uk.ORCID 0000-0002-6678-5504
Danny O'HareCentre for Antimicrobial Optimisation, Imperial College London, London, United Kingdom.
Joseph van Batenburg-SherwoodDepartment of Bioengineering, Sir Michael Uren Hub, Imperial College London, White City Campus, London, United Kingdom.
Mark SuttonAntimicrobial Discovery, Development and Diagnostics (AD3) UK Health Security Agency, Porton Down, Salisbury, Wiltshire, United Kingdom.
Alison HolmesThe NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London, United Kingdom.ORCID 0000-0001-5554-5743
Timothy Miles RawsonThe NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Beta-lactamase-producing Enterobacteriaceae present a significant therapeutic challenge. Current developments in phenotypic diagnostics focus primarily on rapid minimum inhibitory concentration (MIC) determination. There is a requirement for rapid phenotypic diagnostics to improve antimicrobial susceptibility tests (AST) and aid prescribing decisions. Phenotypic AST are limited in their ability to characterise beta-lactamase-producing Enterobacteriaceae in detail. Despite advances in rapid AST, gaps and opportunities remain for developing additional diagnostic approaches that facilitate personalised antimicrobial prescribing. In this perspective, we highlight the state-of-the-art in beta-lactamase detection, identify gaps in current practice, and discuss barriers for innovation within this field.

Indexed as

Anti-Bacterial Agentsbeta-LactamasesEnterobacteriaceaeEnterobacteriaceae InfectionsMicrobial Sensitivity TestsPhenotypeHumansPrecision MedicineAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID39433753
PMCPMC11494114

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.