Evidence map›Paper›PMID 33123926›Full record

ArticleSleep & breathing = Schlaf & Atmung2021

Evaluating the performance of five scoring systems for prescreening obstructive sleep apnea-hypopnea syndrome.

Wenjing Wang, Shan Yuan, Jehane Michael Le Grange, Haiying Zheng, Tianci Yao, Wei Peng, Jinnong Zhang

Abstract read
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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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Validation of the STOP questionnaire as a screening tool for OSA among different populations: a systematic review and meta-regression analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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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 at 4 institutions in 2 countries.

Wenjing WangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Shan YuanDepartment of Emergency Medicine, Renmin Hospital of Wuhan University, Wuhan, 430022, China.
Jehane Michael Le GrangeDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Haiying ZhengDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Tianci YaoDepartment of Emergency Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Wei PengSalt Lake Regional Medical Center, Heart and Lung Institute of Utah, Salt Lake City, UT, 84108, USA.
Jinnong ZhangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. zhangjnwhhb@163.com.
Union Hospital · CNHuazhong University of Science and Technology · CNLung Institute · USRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA comparison of all scoring systems used for screening for obstructive sleep apnea-hypopnea syndrome (OSAHS) is lacking. The aim of this investigation was to evaluate the performance of five scoring systems for screening for OSAHS, as well as to validate the use of the NoSAS and SACS in the Chinese population.

methodsData were retrospectively collected from hospital-based, manned, overnight sleep monitoring studies for 105 consecutive outpatients using a portable monitor (PM) device.

resultsThe 105 participants had an average age of 46 years and were mostly men (75%). STOP-Bang, SACS, and NoSAS scoring exhibited moderate predictive values at different AHI cutoffs (AUC 0.761-0.853, 0.722-0.854, and 0.724-0.771 respectively), followed by the STOP and Berlin questionnaire (AUC 0.680-0.781vs 0.624-0.724). Both STOP-Bang and SACS showed excellent sensitivity (89.5-100% vs 93.4-94.6%) and negative predictive value (68-100% vs 77.3-90.9%), while STOP-Bang, STOP, and SACS showed low negative likelihood ratios (- LR) (0-0.2).

conclusionsOur study indicated that the STOP-Bang questionnaire and the SACS both show better predictive value than other scoring systems among the five screening tools for OSAHS. Both scoring systems are simple and easy to implement for screening for OSAHS in the community and in hospitals.

Indexed as

AdultAgedChinaFemaleHumansMaleMass ScreeningMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesSleep Apnea, ObstructiveSurveys and QuestionnairesNoSASObstructive sleep apnea-hypopnea syndromePortable monitorSACSSTOP-Bang

Identifiers

PMID33123926
OpenAlexW3096943670

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.