Evidence map›Paper›PMID 40796655›Full record

ArticleCommunications medicine2025

Diagnostic test accuracy of simplified algorithms for diagnosing acute rheumatic fever: a systematic review.

Rui Providencia, Ghazaleh Aali, Fang Zhu, Thomas Katairo, Mahmood Ahmad, Jonathan Jh Bray, Ferruccio Pelone, Eloi Marijon, Miryan Cassandra, David S Celermajer and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Rui ProvidenciaGENEs health and social care evidence SYnthesiS unit, Institute of Health Informatics, University College, London, UK. r.providencia@ucl.ac.uk.ORCID http://orcid.org/0000-0001-9141-9883
Ghazaleh AaliDepartment of Evidence Synthesis, Systematic Review Consultants LTD, Oxford, UK.
Fang ZhuDepartment of Biostatistics, Systematic Review Consultants LTD, Oxford, UK.ORCID http://orcid.org/0000-0002-6676-1270
Thomas KatairoDepartment of Biostatistics, Systematic Review Consultants LTD, Oxford, UK.
Mahmood AhmadGENEs health and social care evidence SYnthesiS unit, Institute of Health Informatics, University College, London, UK.
Jonathan Jh BrayGENEs health and social care evidence SYnthesiS unit, Institute of Health Informatics, University College, London, UK.
Ferruccio PeloneGENEs health and social care evidence SYnthesiS unit, Institute of Health Informatics, University College, London, UK.
Eloi MarijonParis Cardiovascular Research Centre, INSERM U970, European Georges Pompidou Hospital, Paris, France.
Miryan CassandraCardiology Department, Hospital Dr. Ayres de Menezes, São Tomé, Sao Tome and Principe.
David S CelermajerFaculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Farhad ShokranehGENEs health and social care evidence SYnthesiS unit, Institute of Health Informatics, University College, London, UK.

Funding

World Health Organization (WHO) 2022/1225542-0
6 · The paper itself

Abstract

backgroundRheumatic heart disease, the long-term sequel to acute rheumatic fever, remains a prevalent public health problem in Africa and other low to middle-income regions of the world. Diagnosing acute rheumatic fever and using the modified Jones criteria in high-prevalence areas remains challenging.

methodsWe assessed the (i) diagnostic accuracy of simplified diagnostic algorithms among children, adolescents, and adults with suspected acute rheumatic fever, and (ii) the impact of different diagnostic criteria on the development of rheumatic heart disease (PROSPERO CRD42022344077). The MEDLINE, Embase, and Conference Proceedings Citation Index-Science were searched for relevant reports (date: 15th March 2025).

resultsHere we identify 12,075 records, and three studies (four reports) meeting our eligibility criteria. Simplified diagnostic algorithms using only clinical data at community health centre-level (AUC 0.69, sensitivity 66% and specificity 68%), or adding 12-lead electrocardiogram and simple laboratory investigations at district-level facilities (AUC 0.76, sensitivity 77% and specificity 67%) perform worse than models including the full-set of laboratory investigations and echocardiography at National referral hospitals (AUC 0.91, sensitivity 84% & specificity 87%). Using modified Jones criteria without echocardiography results in an important loss of sensitivity (sensitivity 79%, specificity 100% & AUC 0.90). Progression to rheumatic heart disease is reported in 2.5-5% of children and young adults in high-prevalence areas who do not meet the full modified Jones criteria.

conclusionsSimplification of the modified Jones criteria in areas without access to echocardiography and laboratory investigations may lead to underdiagnosis of acute rheumatic fever. Some patients who do not meet the modified Jones criteria for definite acute rheumatic fever diagnosis may still progress to develop rheumatic heart disease.

Identifiers

PMID40796655
PMCPMC12344290

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