Evidence map›Paper›PMID 33664122›Full record

SynthesisBMJ open respiratory research2021

Validation of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnoea in patients with cardiovascular risk factors: a systematic review and meta-analysis.

Mark Hwang, Kevin Zhang, Mahesh Nagappa, Aparna Saripella, Marina Englesakis, Frances Chung

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. STOPBANG vs STOPBWANG.Lung India : official organ of Indian Chest Society · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Chinese Guidelines for the Diagnosis and Surgical Treatment of Adult Obstructive Sleep Apnea (2024).World journal of otorhinolaryngology - head and neck surgery · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Mark HwangFaculty of Medicine, Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-4043-7085
Kevin ZhangFaculty of Medicine, Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-1183-5743
Mahesh NagappaDepartment of Anaesthesia & Perioperative Medicine, London Health Sciences Centre, London, Ontario, Canada.
Aparna SaripellaDepartment of Anaesthesia and Pain Medicine, University Health Network, Toronto, Ontario, Canada.
Marina EnglesakisLibrary and Information Services, University Health Network, Toronto, Ontario, Canada.
Frances ChungDepartment of Anaesthesia and Pain Medicine, Toronto Western Hospital, Toronto, Ontario, Canada Frances.Chung@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObstructive sleep apnoea (OSA) is highly prevalent in patients with cardiovascular risk factors and is associated with increased morbidity and mortality. This review presents the predictive parameters of the STOP-Bang questionnaire as a screening tool for OSA in this population.

methodsA search of databases was performed. The inclusion criteria were: (1) use of the STOP-Bang questionnaire to screen for OSA in adults (>18 years) with cardiovascular risk factors; (2) polysomnography or home sleep apnoea testing performed as a reference standard; (3) OSA defined by either Apnoea-Hypopnoea Index (AHI) or Respiratory Disturbance Index; and (4) data on predictive parameters of the STOP-Bang questionnaire. A random-effects model was used to obtain pooled predictive parameters of the STOP-Bang questionnaire.

resultsThe literature search resulted in 3888 articles, of which 9 papers met the inclusion criteria, involving 1894 patients. The average age of the included patients was 58±13 years with body mass index (BMI) of 30±6 kg/m

conclusionThe STOP-Bang questionnaire is an effective tool to screen for OSA (AHI≥5) with AUC of 0.86 in patients with cardiovascular risk factors.

Indexed as

Sleep Apnea, ObstructiveAdultAgedBody Mass IndexHumansMaleMass ScreeningMiddle AgedPolysomnographySurveys and Questionnairessleep apnoea

Identifiers

PMID33664122
PMCPMC7934717

What OpenQuestion holds

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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 OpenQuestion graph.