Evidence map›Paper›PMID 36824943›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Quantifying patient- and hospital-level antimicrobial resistance dynamics in

Quentin Leclerc, Alastair Clements, Helen Dunn, James Hatcher, Jodi A Lindsay, Louis Grandjean, Gwenan M Knight

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Quentin LeclercCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Public Health, London School of Hygiene & Tropical Medicine, UK.
Alastair ClementsCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Public Health, London School of Hygiene & Tropical Medicine, UK.
Helen DunnGreat Ormond Street Hospital, UK.
James HatcherGreat Ormond Street Hospital, UK.
Jodi A LindsayInstitute for Infection & Immunity, St George's University of London, UK.
Louis GrandjeanDepartment of Infection, Immunity & Inflammation, Institute of Child Health, University College London, UK.
Gwenan M KnightCentre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Public Health, London School of Hygiene & Tropical Medicine, UK.

Funding

Using the Mycobacterium tuberculosis Genome to Predict Tuberculosis Pathology, Drug Resistance Acquisition and Identify Community Transmission SitesR01AI146338 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GILMAN, ROBERT H · 2020 to 2024
$3.3M
NIAID NIH HHS R01 AI146338Wellcome Trust
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) to all antibiotic classes has been found in the pathogen

Identifiers

PMID36824943
PMCPMC9949191

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.