Evidence mapPaperPMID 40060365Full record

ArticleNature and science of sleep2025

Performance of Four Screening Tools for Identifying Obstructive Sleep Apnea Among Patients with Insomnia.

Chuan Shi, Yuxin Wang, Jinmei Luo, Rong Huang, Yi Xiao

Abstract read
In one paragraph

Article in Nature and science of sleep, 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

5 authors.

Chuan Shi *Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People's Republic of China.
Yuxin Wang *Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People's Republic of China.ORCID 0000-0001-5717-953X
Jinmei LuoDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People's Republic of China.ORCID 0000-0001-5519-6205
Rong HuangDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People's Republic of China.ORCID 0000-0001-9584-0501
Yi XiaoDepartment of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science (CAMS) and Peking Union Medical College (PUMC), Beijing, 100730, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Co-morbid insomnia and sleep apnea are common in clinical practice. The existing OSA screening tools have not been fully validated in insomnia populations, and items measuring daytime function may be interfered with the presence of insomnia. This study aims to validate the performance of four commonly used OSA screening tools among individuals with and without insomnia. Participants and Methods: A cross-sectional survey was conducted in individuals with suspected OSA referred for sleep studies from December 2021 to December 2023. All participants completed the Insomnia Severity Index (ISI) scale, STOP-Bang, Epworth Sleepiness Scale (ESS), Berlin questionnaire, and NoSAS score. Clinical insomnia was defined as an ISI of 15 or more. Performance of screening tools was primarily assessed by sensitivity, specificity, and the receiver operating characteristic (ROC) curve. Results: A total of 1266 participants (26% females, age 46.4 ± 12.4 years) were included in the study. The prevalence of apnea-hypopnea index (AHI) ≥15/h was 48% and 52% in the insomnia (n=313) and non-insomnia (n=953) group, respectively ( Conclusion: The performance of OSA screening tools incorporating evaluation of daytime function is altered in the presence of insomnia. Under conventional cutoffs, STOP-Bang is the preferred screening tool due to its high sensitivity.

Indexed as

insomniaobstructive sleep apneapolysomnographyscreening instruments

Identifiers

PMID40060365
PMCPMC11887493

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.