Evidence map›Paper›PMID 36998629›Full record

ArticleOpen forum infectious diseases2023

Clinical Prediction Rule to Guide Diagnostic Testing for

Sharia M Ahmed, Ben J Brintz, Patricia B Pavlinac, Md Iqbal Hossain, Ashraful Islam Khan, James A Platts-Mills, Karen L Kotloff, Daniel T Leung

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2023. 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
1.7field-weighted citation impact, top 16% 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, 9 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Sharia M AhmedDivision of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-4060-5712
Ben J BrintzDivision of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Patricia B PavlinacDepartment of Global Health, Global Center for Integrated Health of Women, Adolescents and Children, University of Washington, Seattle, Washington, USA.
Md Iqbal HossainInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Ashraful Islam KhanInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
James A Platts-MillsDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA.
Karen L KotloffDepartment of Pediatrics, Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Daniel T LeungDivision of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, Utah, USA.
University of Utah · USInternational Centre for Diarrhoeal Disease Research · BDUniversity of Maryland, Baltimore · USUniversity of Virginia · USUniversity of Washington · US

Funding

Training Program in Microbial PathogenesisT32AI055434 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MULVEY, MATTHEW A, PLANELLES, VICENTE · 2004 to 2025
$6.0M
Development of clinical decision tools for management of diarrhea of children in high and low resource settingsR01AI135114 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2018 to 2025
$4.0M
NIAID NIH HHS R01 AI135114NIAID NIH HHS T32 AI055434
6 · The paper itself

Abstract

Background: Diarrheal diseases are a leading cause of death for children aged <5 years. Identification of etiology helps guide pathogen-specific therapy, but availability of diagnostic testing is often limited in low-resource settings. Our goal is to develop a clinical prediction rule (CPR) to guide clinicians in identifying when to use a point-of-care (POC) diagnostic for Methods: We used clinical and demographic data from the Global Enteric Multicenter Study (GEMS) study to build predictive models for diarrhea of Results: Of the 5011 cases analyzed, 1332 (27%) had diarrhea of Conclusions: We demonstrate how a CPR can be used to guide use of a POC diagnostic test for diarrhea management. Using our CPR, available diagnostic capacity can be optimized to improve appropriate antibiotic use.

Indexed as

clinical prediction rulediagnostic testingdiarrheapoint-of-care testShigella

Identifiers

PMID36998629
PMCPMC10043128
OpenAlexW4323364436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.