Evidence map›Paper›PMID 36140015›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Derivation of a Precise and Consistent Timeline for Antibiotic Development.

Henry L Stennett, Catherine R Back, Paul R Race

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Recent Advances in Metal Complexes for Antimicrobial Photodynamic Therapy.Chembiochem : a European journal of chemical biology · 2023
    Review
  10. Article
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

3 authors.

Henry L StennettSchool of Biochemistry, University of Bristol, University Walk, Bristol BS8 1TD, UK.ORCID 0000-0001-6555-1872
Catherine R BackSchool of Biochemistry, University of Bristol, University Walk, Bristol BS8 1TD, UK.ORCID 0000-0002-9835-9171
Paul R RaceSchool of Biochemistry, University of Bristol, University Walk, Bristol BS8 1TD, UK.ORCID 0000-0003-0184-5630

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Biotechnology and Biological Sciences Research Council BB/T001968/1MRF MRF-131-0005-RG-RACE-C0853MRF_ MRF-131-0005-RG-RACE-C0853
6 · The paper itself

Abstract

Antibiotic resistance is a global health crisis. New classes of antibiotics that can treat drug-resistant infections are urgently needed. To communicate this message, researchers have used antibiotic development timelines, but these are often contradictory or imprecise. We conducted a systematic literature review to produce an antibiotic timeline that incorporates the dates of discovery, first use, and initial reports of the emergence of resistance for the 38 classes of clinically used antibiotics. From our timeline, we derive lessons for identifying new antibiotics that are less prone to resistance. These include a required focus on molecules that exhibit multiple modes of action, possess unusually long 'resistance windows', or those that engage cellular targets whose molecular architectures are at least in part decoupled from evolutionary pressures. Our analysis also further highlights the importance of safeguarding antibiotics as a mechanism for mitigating the development of resistance. We have made our data and sources freely available so that the research community can adapt them to their own needs.

Indexed as

antibioticclinicaldevelopmentdiscoveryresistancetimeline

Identifiers

PMID36140015
PMCPMC9495031

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.