Evidence map›Paper›PMID 38221980›Full record

ArticleOpen forum infectious diseases2024

Diagnostic Accuracy of Clinical Diagnostic Scoring Systems for Childhood Tuberculosis: A Systematic Review and Meta-analysis.

Michael Kakinda, Ronald Olum, Joseph Baruch Baluku, Felix Bongomin

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. 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. 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

4 authors.

Michael KakindaClinical Directorate, Joint Clinical Research Center, Kampala, Uganda.ORCID https://orcid.org/0000-0002-4638-1318
Ronald OlumDepartment of Medicine, St Francis Hospital Nsambya, Kampala, Uganda.ORCID https://orcid.org/0000-0003-1289-0111
Joseph Baruch BalukuNetwork for Infectious Diseases Epidemiology and Research (NIDER) Platform, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5852-9674
Felix BongominNetwork for Infectious Diseases Epidemiology and Research (NIDER) Platform, Kampala, Uganda.ORCID https://orcid.org/0000-0002-3268-0755

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
Addressing the Research Capacity Gap in Global Child and Adolescent Health Disparities Utilizing Implementation and Data Sciences among Vulnerable Populations in Resource-limited Settings (ACHIEVE)D43TW012275 · FIC · WASHINGTON UNIVERSITY · PI Theresa Stichick Betancourt, Mary McKernan McKay · 2022 to 2026
$7.2M
FIC NIH HHS D43 TW010543FIC NIH HHS D43 TW012275
6 · The paper itself

Abstract

Background: Diagnosis of childhood tuberculosis (TB) poses several challenges. Therefore, point-based scoring systems and diagnostic algorithms have been developed to improve the diagnostic yields in this population. However, there are no updated systematic reviews of the existing childhood TB scoring systems and algorithms. Hence, we systematically reviewed the diagnostic accuracy of the childhood TB diagnostic scoring systems and algorithms. Methods: We systematically searched PubMed, CINAHL, Embase, Scopus, and Google Scholar databases for relevant articles published until 30 March 2023. QUADAS-2 was used to assess their study quality. Diagnostic accuracy measures (ie, sensitivity, specificity, diagnostic odds ratio, positive and negative likelihood ratios) were pooled using a random-effects model. Results: We included 15 eligible studies, with a total of 7327 study participants aged <15 years, with 10 evaluations of childhood TB diagnostic scoring systems and algorithms. Among these algorithms and scoring systems, only 3 were evaluated more than once. These were the Keith Edwards scoring system with 5 studies (sensitivity, 81.9%; specificity, 81.2%), Kenneth Jones criteria with 3 studies (sensitivity, 80.1%; specificity, 45.7%), and the Ministry of Health-Brazil algorithm with 3 studies (sensitivity, 79.9%; specificity, 73.2%). Conclusions: We recommend using the Keith Edwards scoring system because of its high sensitivity and specificity. Further research is necessary to assess the effectiveness of scoring systems and algorithms in identifying TB in children with HIV and malnutrition.

Indexed as

diagnostic scoring systemdiagnostic test accuracypediatric TB

Identifiers

PMID38221980
PMCPMC10787364

What OpenQuestion holds

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Registered trials

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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.