Evidence map›Paper›PMID 32656364›Full record

ArticleWellcome open research2019

Feasibility of informing syndrome-level empiric antibiotic recommendations using publicly available antibiotic resistance datasets.

Quentin J Leclerc, Nichola R Naylor, Alexander M Aiken, Francesc Coll, Gwenan M Knight

Open access · goldAbstract read
In one paragraph

Article in Wellcome open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Quantifying patient- and hospital-level antimicrobial resistance dynamics inmedRxiv : the preprint server for health sciences · 2023
    Article
  5. Review
  6. The importance of effective data sharing and reuse to funders and others supporting research.Learned publishing : journal of the Association of Learned and Professional Society Publishers · 2022
    Article
  7. 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

5 authors at 2 institutions in 1 country.

Quentin J LeclercDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.ORCID https://orcid.org/0000-0003-4761-001X
Nichola R NaylorDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.ORCID https://orcid.org/0000-0003-4122-6631
Alexander M AikenDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Francesc Coll *Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.ORCID https://orcid.org/0000-0002-7882-2325
Gwenan M Knight *Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.ORCID https://orcid.org/0000-0002-7263-9896
London School of Hygiene & Tropical Medicine · GBImperial College Healthcare NHS Trust · GB

Funding

Medical Research Council MR/P014658/1Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Antimicrobial resistancedata linkageempiric therapyguidelinesonline tool

Identifiers

PMID32656364
PMCPMC7327722
OpenAlexW2975289257

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.