Evidence map›Paper›PMID 34910625›Full record

SynthesisJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2022

Validation of the STOP questionnaire as a screening tool for OSA among different populations: a systematic review and meta-regression analysis.

Darshit Patel, Jinny Tsang, Aparna Saripella, Mahesh Nagappa, Sazzadul Islam, Marina Englesakis, Frances Chung

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Sleep and Disorders of Gut-Brain Interaction.Gastroenterology & hepatology · 2026
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  9. Lifestyle and risk factor modification in atrial fibrillation: a European Heart Rhythm Association survey.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  10. Article
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  13. Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  14. Article
  15. Fractional exhaled nitric oxide-a possible biomarker for risk of obstructive sleep apnea in snorers.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
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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.

Darshit PatelUCD School of Medicine, University College Dublin, Belfield, Dublin, Ireland.
Jinny TsangDepartment of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Aparna SaripellaDepartment of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Mahesh NagappaDepartment of Anesthesia & Perioperative Medicine, London Health Sciences Centre and St. Joseph Health Care, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Sazzadul IslamDepartment of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Marina EnglesakisLibrary and Information Services, University Health Network, Toronto, Ontario, Canada.
Frances ChungDepartment of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesObstructive sleep apnea (OSA) is a sleep breathing disorder associated with adverse health outcomes, but it remains largely underdiagnosed. The STOP questionnaire is a simple tool for screening OSA and is widely used in various populations. The objective of this study was to determine the predictive parameters of the STOP questionnaire to detect OSA in sleep clinics, medical population, surgical population, commercial drivers, and the general population.

methodsElectronic databases were searched from January 2008 to April 2021. Pooled predictive parameters were recalculated using 2 × 2 contingency tables and random-effects meta-analyses were performed. The combined test characteristics at different OSA severities (any OSA [apnea-hypopnea index ≥ 5 events/h], moderate-to-severe OSA [apnea-hypopnea index ≥ 15 events/h], severe OSA [apnea-hypopnea index ≥ 30 events/h]) were used to compare the accuracy of the STOP questionnaire with polysomnography. The quality of the studies was evaluated using Cochrane Methods criteria.

resultsTwenty-four studies met the inclusion criteria: 16 were in the sleep clinic population (n = 8,132), 4 in the medical population (n = 1,023), 2 in the surgical population (n = 258), and 1 study each on commercial drivers (n = 85) and the general population (n = 4,770). A STOP score ≥ 2 showed excellent sensitivity to the different OSA severities for the sleep clinic population (> 89%) and to severe OSA for the medical population (85.6%). In both populations, the STOP questionnaire also had excellent discriminative power to exclude severe OSA (negative predictive values > 84%). The pooled sensitivity and negative predictive values for the surgical population with moderate-to-severe OSA was 81% and 75%.

conclusionsThis meta-analysis suggests that the STOP questionnaire is a valid and effective screening tool for OSA among these populations. CITATION: Patel D, Tsang J, Saripella A, et al. Validation of the STOP questionnaire as a screening tool for OSA among different populations: a systematic review and meta-regression analysis.

Indexed as

Sleep Apnea, ObstructiveHumansMass ScreeningPolysomnographyRegression AnalysisSurveys and Questionnairesobstructive sleep apneapredictive parametersscreening questionnairesleep studiesSTOP questionnairesystematic review and meta-analysis

Identifiers

PMID34910625
PMCPMC9059595

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.