Evidence map›Paper›PMID 42181834›Full record

ArticleSleep medicine: X2026

Performance of six screening scores for obstructive sleep apnoea in an African population: findings from the BeSAS cross-sectional study.

Ablo Prudence Wachinou, Boubacar Djelo Diallo, Terence Totah, Geoffroy Solelhac, Mathieu Berger, Pervenche Fosto, Salmane Amidou, Attanon Arnauld Fiogbe, Pedro Marques-Vidal, Gildas Agodokpessi and 4 more

Abstract read
In one paragraph

Article in Sleep medicine: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors.

Ablo Prudence WachinouFaculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Boubacar Djelo DialloDepartment of Pneumo-phtisiology, University Hospital Ignace Deen, Conakry, Guinea.
Terence TotahLaboratory of Epidemiology of Chronic and Neurologic Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Geoffroy SolelhacCenter of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Mathieu BergerCenter of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Pervenche FostoLaboratory of Epidemiology of Chronic and Neurologic Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Salmane AmidouLaboratory of Epidemiology of Chronic and Neurologic Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Attanon Arnauld FiogbeNational Teaching Hospital for Tuberculosis and Pulmonary Diseases, Cotonou, Benin.
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Gildas AgodokpessiFaculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Dismand HouinatoFaculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Roch Christian JohnsonInterfaculty Center for Environmental Training and Research for Sustainable Development (CIFRED), University of Abomey-Calavi, Cotonou, Benin.
Pierre-Marie PreuxInserm U1094, IRD UMR270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, Omega Health, Limoges, France.
Raphael HeinzerCenter of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A screening tool for obstructive sleep apnoea (OSA) is useful in low-income countries where it may be difficult to access sleep recordings. The objective of this study was to assess the performance of six screening scores compared with objective sleep recording. Methods: This analysis is based on the "Benin Sleep and Society" (BeSAS) study, in which respiratory polygraphy (PG) was performed using a type III device and OSA screening questionnaires (STOP, STOP-Bang, Berlin, NOSAS [≥8 and ≥ 5), No-Apnea, GOAL) were administered to participants. PG-defined OSA severity categories were defined according to the apnoea-hypopnoea index (AHI): mild (AHI 5 to <15/h), moderate (AHI 15 to <30/h) or severe (AHI ≥30/h), and these were compared to score findings. Results: A total of 1810 subjects (mean age 45.4 ± 14.6 years; 64.3% women) were included. For moderate to severe OSA, the area under the receiver operating characteristic curve was greatest for GOAL and No-Apnea (0.70, CI 0.67-0.73; 0.70, CI 0.68-0.73), followed by NoSAS Conclusion: Although overall performance was modest for all instruments, NoSAS

Indexed as

AfricaNoSASObstructive sleep apnoeaPolygraphy

Identifiers

PMID42181834
PMCPMC13197807

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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.