Evidence map›Paper›PMID 34158654›Full record

ReviewNature reviews. Microbiology2021

Optimizing antimicrobial use: challenges, advances and opportunities.

Timothy M Rawson, Richard C Wilson, Danny O'Hare, Pau Herrero, Andrew Kambugu, Mohammed Lamorde, Matthew Ellington, Pantelis Georgiou, Anthony Cass, William W Hope and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
14.5field-weighted citation impact, top 1% of its field
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

69 citing papers in PubMed, 127 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Repurposing FDA-Approved Drugs to Inhibit Fungal PPTases for Broad-Spectrum Synergy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

9 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

11 authors at 6 institutions in 2 countries.

Timothy M RawsonNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2630-9722
Richard C WilsonNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-3275-6932
Danny O'HareCentre for Antimicrobial Optimisation, Imperial College London, London, UK.
Pau HerreroCentre for Antimicrobial Optimisation, Imperial College London, London, UK.
Andrew KambuguInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Mohammed LamordeInfectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Matthew EllingtonNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.
Pantelis GeorgiouCentre for Antimicrobial Optimisation, Imperial College London, London, UK.
Anthony CassCentre for Antimicrobial Optimisation, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-8881-4786
William W HopeDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
Alison H HolmesNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK. alison.holmes@imperial.ac.uk.ORCID http://orcid.org/0000-0001-5554-5743
Imperial College London · GBInfectious Diseases Institute · UGNational Institute for Health Research · GBImperial College Healthcare NHS Trust · GBPublic Health England · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An optimal antimicrobial dose provides enough drug to achieve a clinical response while minimizing toxicity and development of drug resistance. There can be considerable variability in pharmacokinetics, for example, owing to comorbidities or other medications, which affects antimicrobial pharmacodynamics and, thus, treatment success. Although current approaches to antimicrobial dose optimization address fixed variability, better methods to monitor and rapidly adjust antimicrobial dosing are required to understand and react to residual variability that occurs within and between individuals. We review current challenges to the wider implementation of antimicrobial dose optimization and highlight novel solutions, including biosensor-based, real-time therapeutic drug monitoring and computer-controlled, closed-loop control systems. Precision antimicrobial dosing promises to improve patient outcome and is important for antimicrobial stewardship and the prevention of antimicrobial resistance.

Indexed as

Antimicrobial StewardshipAnti-Infective AgentsArtificial IntelligenceBacterial InfectionsBiosensing TechniquesDecision Support Systems, ClinicalDrug MonitoringDrug Resistance, MicrobialHumansAnti-Infective Agents

Identifiers

PMID34158654
OpenAlexW3175594976

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.