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Peer reviewedOpen accessRheumatic fever

Acute Rheumatic Fever Diagnostic Network (ARC Network) clinical recruitment protocol.

BMJ open·

Fall N, Bowen AC, Buonfiglio S, Francis JR, Gorman C, Fonseca Mendoza R, Fernandes E, Moreland NJ, Pereira Nunes MC, Sable C, Sadiq M, Shannon CP, Parks T, Ralph A, Sanyahumbi A, Sarnacki R, Tebbutt S, Webb R, Carapetis J, Beaton AZ

DOI
10.1136/bmjopen-2025-114968
PMID
41881537
PMCID
PMC13034315
OpenAlex
W7140627835
Study type
Journal article
Publisher
Publisher unavailable
Article type
journal-article
Integrity
current

Why this research matters now

The project addresses a critical testing gap in regions experiencing substantial disease burden by constructing a platform for future diagnostic development.

01

Structured evidence summary

Research question

The investigation seeks to establish a standardized multinational cohort to facilitate the identification of biomarkers for acute rheumatic fever diagnostics.

Study design

The publication functions as a methodological protocol outlining a multicentre observational recruitment strategy.

Population and setting

Enrollment targets individuals aged three to eighteen years with suspected conditions alongside matched control participants across four participating nations.

Main findings

The text details the operational architecture, including harmonized data collection, centralized specimen banking, and rigorous quality control measures.

Public-health relevance

The project addresses a critical testing gap in regions experiencing substantial disease burden by constructing a platform for future diagnostic development.

Important limitations

Being a procedural outline, the document lacks empirical results and does not yet evaluate diagnostic accuracy or clinical utility.

GIDS interpretation

This record establishes the methodological groundwork necessary for systematic exploratory research within the specified disease category.

02

Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

03

Evidence relationships

This article has 7 auditable classifier relationships to diseases, places, topics, and study design.

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