Evidence map›Paper›PMID 39120145›Full record

ArticlemBio2024

Holistic understanding of trimethoprim resistance in

Nguyen-Phuong Pham, Hélène Gingras, Chantal Godin, Jie Feng, Alexis Groppi, Macha Nikolski, Philippe Leprohon, Marc Ouellette

Abstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

8 authors.

Nguyen-Phuong PhamCentre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada.ORCID 0009-0005-1106-2965
Hélène GingrasCentre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada.
Chantal GodinCentre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada.
Jie FengState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-5172-6643
Alexis GroppiBordeaux Bioinformatics Center and CNRS, Institut de Biochimie et Génétique Cellulaires (IBGC) UMR 5095, Université de Bordeaux, Bordeaux, France.
Macha NikolskiBordeaux Bioinformatics Center and CNRS, Institut de Biochimie et Génétique Cellulaires (IBGC) UMR 5095, Université de Bordeaux, Bordeaux, France.
Philippe LeprohonCentre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada.
Marc OuelletteCentre de Recherche en Infectiologie du Centre de Recherche du CHU de Québec and Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada.ORCID 0000-0002-6743-9646

Funding

Canadian Government | Canadian Institutes of Health Research (CIHR) FND167283Funds of the International Development Research of Canada Center 109282-001
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a public health threat worldwide. Next-generation sequencing (NGS) has opened unprecedented opportunities to accelerate AMR mechanism discovery and diagnostics. Here, we present an integrative approach to investigate trimethoprim (TMP) resistance in the key pathogen IMPORTANCE: In the age of next-generation sequencing (NGS), while data-driven methods such as genome-wide association study (GWAS) and machine learning (ML) excel at finding patterns, functional validation can be challenging due to the high numbers of candidate variants. We designed an integrative approach combining a GWAS on

Indexed as

Anti-Bacterial AgentsGenome-Wide Association StudyMachine LearningMicrobial Sensitivity TestsStreptococcus pneumoniaeTrimethoprimTrimethoprim ResistanceGenome, BacterialHigh-Throughput Nucleotide SequencingHumansMutationPneumococcal InfectionsAnti-Bacterial AgentsTrimethoprimdrug resistance mechanismsgenome-wide association studymachine learningStreptococcus pneumoniaetrimethoprim

Identifiers

PMID39120145
PMCPMC11389379

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.