Evidence map›Paper›PMID 33098537›Full record

ArticleSleep & breathing = Schlaf & Atmung2021

Prediction of obstructive sleep apnea: comparative performance of three screening instruments on the apnea-hypopnea index and the oxygen desaturation index.

Christianne C A F M Veugen, Emma M Teunissen, Leontine A S den Otter, Martijn P Kos, Robert J Stokroos, Marcel P Copper

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  4. Review
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  6. Article
  7. Article
  8. Nocturnal hypoxia and age-related macular degeneration.Clinical & experimental ophthalmology · 2024
    Article
  9. Article
  10. Obstructive sleep apnea and diabetes.Journal of diabetes · 2023
    Article
  11. Article
  12. Article
  13. 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

6 authors.

Christianne C A F M VeugenDepartment of Otorhinolaryngology Head and Neck surgery, Sint Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands. c.veugen@antoniusziekenhuis.nl.ORCID https://orcid.org/0000-0002-3548-6819
Emma M TeunissenDepartment of Otorhinolaryngology Head and Neck surgery, Radboud Universitair Medisch Centrum, Geert Groteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
Leontine A S den OtterFaculty of Medicine, Universitair Medisch Centrum Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Martijn P KosRuysdael Sleepclinic, Ruysdaelstraat 49 A1-D, 1071 XA, Amsterdam, The Netherlands.
Robert J StokroosDepartment of Otorhinolaryngology Head and Neck surgery, Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Marcel P CopperDepartment of Otorhinolaryngology Head and Neck surgery, Sint Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the performance of the NoSAS (neck, obesity, snoring, age, sex) score, the STOP-Bang (snoring, tiredness, observed apneas, blood pressure, body mass index, age, neck circumference, gender) questionnaire, and the Epworth sleepiness score (ESS) as a screening tool for obstructive sleep apnea (OSA) severity based on the apnea-hypopnea index (AHI) and the oxygen desaturation index (ODI).

methodsData from 235 patients who were monitored by ambulant polysomnography (PSG) were retrospectively analyzed. OSA severity was classified based on the AHI; similar classification categories were made based on the ODI. Discrimination was assessed by the area under the curve (AUC), while predictive parameters were calculated by four-grid contingency tables.

resultsThe NoSAS score and the STOP-Bang questionnaire were both equally adequate screening tools for the AHI and the ODI with AUC ranging from 0.695 to 0.767 and 0.684 to 0.767, respectively. Both questionnaires perform better when used as a continuous variable. The ESS did not show adequate discrimination for screening for OSA (AUC ranging from 0.450 to 0.525). Male gender, age, and BMI proved to be the strongest individual predictors in this cohort.

conclusionThis is the first study to evaluate the predictive performance of three different screening instruments with respect to both the AHI and the ODI. This is important, due to increasing evidence that the ODI may have a higher reproducibility in the clinical setting. The NoSAS score and the STOP-Bang questionnaire proved to be equally adequate to predict OSA severity based on both the AHI and the ODI.

Indexed as

Surveys and QuestionnairesAdultAgedFemaleHumansMaleMass ScreeningMiddle AgedPatient AcuityPolysomnographyReproducibility of ResultsRetrospective StudiesSleep Apnea, ObstructiveESSNoSAS scoreObstructive sleep apneaPolysomnographyScreeningSTOP-Bang questionnaire

Identifiers

PMID33098537
PMCPMC8376723

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Registered trials

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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.