Evidence map›Paper›PMID 40606446›Full record

ArticleFrontiers in medicine2025

Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea.

Ignacio Boira, Violeta Esteban, José Norberto Sancho-Chust, Esther Pastor, Paula Fernández-Martínez, Anastasiya Torba, Eusebi Chiner

Abstract read
In one paragraph

Article in Frontiers in 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

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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. Artificial intelligence in sleep diagnostics for children under 2 years of age: state of the evidence and future directions.European respiratory review : an official journal of the European Respiratory Society · 2026
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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

7 authors.

Ignacio BoiraDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.
Violeta EstebanDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.
José Norberto Sancho-ChustDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.
Esther PastorDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.
Paula Fernández-MartínezDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.
Anastasiya TorbaDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.
Eusebi ChinerDepartment of Pneumology, Sleep Unity, San Juan de Alicante University Hospital, Alicante, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Manual scoring of polysomnography data is a laborious and complex process. Automatic scoring by current computer algorithms shows high agreement with manual scoring. The primary objective of this study was to measure the overall validity of the Somnolyzer 24×7 automatic polysomnography scoring system in children. Materials and methods: We conducted a single-center, prospective, observational study in children undergoing diagnostic polysomnography for suspected obstructive sleep apnea (OSA) from December 2023 to December 2024. We included children aged three to 15 years with suspected obstructive sleep apnea (OSA). Each polysomnogram was scored manually by three experts and automatically by the Somnolyzer 24×7 system. Results: Our analysis included 75 children (60% girls), of whom 9% did not have OSA, 20% had mild OSA, 31% moderate OSA, and 40% severe OSA. There was a high level of agreement between manual and automatic scoring of the respiratory disturbance index (RDI). The mean correlation (Pearson correlation coefficient) of RDI scored by the three experts was 0.93 (95% confidence interval [CI] 0.92-0.95), similar to the correlation between manual and automatic scoring (0.92, 95% CI 0.90-0.94). The correlation between the different manual scorings and between manual and automatic scoring was maintained in the different sleep stages (N1: 0.93 vs. 0.90, N2: 0.76 vs. 0.73, N3: 0.72 vs. 0.76, REM: 0.86 vs. 0.82). Conclusion: The Somnolyzer 24×7 automatic scoring system shows strong correlation with manual scoring in respiratory events and sleep architecture. Our results suggest this system could be used for polysomnography scoring in children.

Indexed as

artificial intelligencechildrenobstructive sleep apneapolysomnographysleep disordersSomnolyzer

Identifiers

PMID40606446
PMCPMC12213436

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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.