Evidence map›Paper›PMID 41632120›Full record

SynthesisJAMA network open2025

Diagnostic Accuracy of Severe Acute Respiratory Infection Definitions in Hospitalized Children: A Systematic Review and Meta-Analysis.

Leo Hersi, Tuana Kant, Caitlyn L Kaziev, Daniel S Farrar, Noah Bryan, Jessie Cunningham, Haifa Mtaweh, Sanjay Mahant, Shaun K Morris, Peter J Gill

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in JAMA network open, 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. 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

10 authors.

Leo HersiSchool of Medicine, Queen's University, Kingston, Ontario, Canada.
Tuana KantChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Caitlyn L KazievChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Daniel S FarrarChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Noah BryanChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Jessie CunninghamHealth Sciences Library, The Hospital for Sick Children, Toronto, Ontario, Canada.
Haifa MtawehDivision of Paediatric Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
Sanjay MahantChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Shaun K MorrisChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
Peter J GillChild Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Following the 2009 H1N1 influenza pandemic, the World Health Organization (WHO) established a new case definition for severe acute respiratory infection (SARI) for viral surveillance. Several studies have suggested that SARI case definitions are inaccurate at detecting pediatric disease burden. Understanding the performance of SARI case definitions in children is important for pandemic preparedness. Objectives: To evaluate the diagnostic accuracy of SARI case definitions in detecting microbiologically confirmed viral respiratory tract infections among hospitalized children. Data Sources: The MEDLINE(R), Embase Classic + Embase, Ovid EBM Reviews Cochrane Central Register of Controlled Trials, Elsevier SCOPUS, and the WHO Global Index Medicus databases were searched from inception to March 31, 2025. Study Selection: Study screening was conducted in duplicate by 2 independent reviewers. Any studies that assessed any SARI definition in hospitalized children were included. There were no restrictions by design, time period, or geographical location. Data Extraction and Synthesis: Data extraction using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline was conducted by 1 author using a predefined template and independently validated by a second author. Diagnostic accuracy was extracted as 2 × 2 tables from each study and pooled using a bivariate random-effects model. Quality assessments were conducted using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Main Outcomes and Measures: The primary outcomes were sensitivity and specificity. For each case definition-virus combination with at least 4 included studies, pooled estimates of sensitivity and specificity were calculated. Results: Of 1144 studies identified, 13 were included. Included studies represent surveillance data from 65 inpatient sites across 8 countries, using data from 2007 to 2023. The most common definition was the 2014 WHO SARI (9 studies). Viral pathogens included influenza (10 studies) and respiratory syncytial virus (RSV; 6 studies). Meta-analysis of the WHO 2014 SARI definition yielded a sensitivity of 75.7% (95% CI, 65.0%-83.9%; I2 = 89.2%) and specificity of 30.6% (95% CI, 19.8%-44.0%; I2 = 99.0%) for influenza (7 studies) and sensitivity of 70.6% (95% CI, 56.9%-81.9%; I2 = 98.8%) and specificity of 38.7% (95% CI, 25.7%-53.5%; I2 = 99.5%) for RSV (5 studies). In younger subgroups, sensitivity appeared to decrease while specificity appeared to increase for both influenza and RSV. Conclusions and Relevance: In this systematic review and meta-analysis of 13 studies, the WHO 2014 SARI definition demonstrated reduced sensitivity and increased specificity in younger pediatric cohorts, suggesting that surveillance systems that rely on SARI case definitions may potentially underestimate disease burden in children.

Indexed as

Child, HospitalizedRespiratory Tract InfectionsAcute DiseaseChildChild, PreschoolHospitalizationHumansInfantSensitivity and Specificity

Identifiers

PMID41632120
PMCPMC12715654

What OpenQuestion holds

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LicenceCC BY
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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.