Evidence map›Paper›PMID 42113436›Full record

ArticleObesity surgery2026

Validation Performance of Screening Tools for Predicting Obstructive Sleep Apnea Among Chinese Patients Undergoing Metabolic Bariatric Surgery: Insights from a Multicenter Database.

Lizhen Liu, Pei Tang, Joyce Wai-Ting Chiu, Zhiyong Dong, Cunchuan Wang, Weixin Huang, Wenhui Chen

Abstract readValidation StudyMulticenter Study
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In one paragraph

Article in Obesity surgery, 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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5 · Who and what money

Authors and funding

7 authors.

Lizhen Liu *Department of Gastrointestinal surgery, First Affiliated Hospital of Jinan University, Guangzhou, China.
Pei Tang *Department of Gastrointestinal surgery, First Affiliated Hospital of Jinan University, Guangzhou, China.
Joyce Wai-Ting ChiuInternational School, Jinan University, Guangzhou, China.
Zhiyong DongDepartment of Gastrointestinal Surgery/Bariatric Surgery Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Cunchuan WangDepartment of Gastrointestinal Surgery/Bariatric Surgery Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Weixin Huang *Department of anesthesia and surgery center, First Affiliated Hospital of Jinan University, Guangzhou, China. 825380449@qq.com.
Wenhui Chen *Department of Gastrointestinal Surgery/Bariatric Surgery Center, First Affiliated Hospital of Jinan University, Guangzhou, China. jnucwh2019@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is highly prevalent among metabolic bariatric surgery patients and may increase perioperative complications; however, the performance of commonly used OSA screening tools in this population remains unclear. This study aimed to evaluate the predictive performance of B-APNEIC, STOP-BANG, GOAL, No-Apnea, NoSAS and NO-OSAS questionnaires in Chinese bariatric cohort.

methodsThis cross-sectional study utilizes data from Chinese Obesity and Metabolic Surgery (COMES) database between January 2021 and January 2025. Performance of six screening tools was assessed using the area under the receiver operating characteristic curve (AUC) and Youden index. OSA severity was classified based on Apnea-hypopnea index (AHI): any OSA(AHI ≥ 5/h), moderate-to-severe OSA (AHI ≥ 15/h), and severe OSA(AHI ≥ 30/h).

results1740 patients were included (39.2% male) with a median age of 31.0 years and a median body mass index (BMI) of 38.9 kg/m². Overall, 77.1% had OSA, including 49.9% with moderate-to-severe OSA and 33.0% with severe OSA. Questionnaire scores were positively correlated with AHI (all p < 0.001). STOP-BANG [AUC 0.75 (95% confidence interval (CI): 0.70-0.75)] and NO-OSAS [AUC 0.73 (95% CI: 0.71-0.75)] showed comparable performance (P = 0.727) for predicting both any OSA and moderate-to-severe OSA, outperforming GOAL, No-Apnea, NoSAS, and B-APNEIC. For severe OSA, NO-OSAS demonstrated superior performance [AUC 0.75 (95% CI: 0.73-0.77)] compared with STOP-BANG and the other questionnaires (all p < 0.05).

conclusionsSTOP-BANG and NO-OSAS demonstrated similar discriminatory ability for detecting any OSA and moderate-to-severe OSA in Chinese bariatric cohort. However, NO-OSAS may be more effective for identifying severe OSA.

Indexed as

Bariatric SurgeryMass ScreeningObesity, MorbidSleep Apnea, ObstructiveAdultBody Mass IndexChinaCross-Sectional StudiesDatabases, FactualEast Asian PeopleFemaleHumansMaleMiddle AgedPolysomnographyPredictive Value of TestsMetabolic bariatric surgeryObesityObstructive sleep apneaSTOP-BANG, NO-OSAS

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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.