Evidence map›Paper›PMID 39716408›Full record

ArticleThe clinical respiratory journal2024

Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea.

Feng Pang, Wenmin Deng, Jingyan Huang, Yu Guo, Minmin Lin, Xiangmin Zhang, Jie Liu

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The clinical respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07376343 (Comparative Study of CPAP Predictive Equations and In-laboratory Manual Titration in Thai Patients With Obstructive Sleep Apnea), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

NCT07376343 recruitingnot on this mapstarted 2026, after this paper: background citation

Comparative Study of CPAP Predictive Equations and In-laboratory Manual Titration in Thai Patients With Obstructive Sleep Apnea

TypeobservationalSponsorThammasat UniversityRan2026 to 2026Enrolled150ConditionsOSA - Obstructive Sleep ApneaArmsSleep test, Predictive equations of continuous positive airway pressure (CPAP)
3 · Its place in the literature

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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

7 authors.

Feng PangDepartment of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-4073-8515
Wenmin DengDepartment of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jingyan HuangDepartment of Otolaryngology-Head and Neck Surgery, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, Guangdong, China.
Yu GuoDepartment of Otolaryngology-Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Minmin LinDepartment of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiangmin ZhangDepartment of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jie LiuDepartment of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-5110-1464

Funding

National Key Clinical Discipline
6 · The paper itself

Abstract

purposePositive airway pressure (PAP) is the primary treatment for obstructive sleep apnea (OSA). This study aims to predict the optimal PAP pressure in Chinese OSA patients by their polysomnography (PSG) variables and demographic characteristics.

methodsPatients with an apnea-hypopnea index (AHI) ≥ 15 times/h who received PAP therapy (residual AHI < 5 times/h) and underwent PSG were included in this study. Sex, age, body mass index (BMI), Epworth Sleepiness Scale (ESS), AHI, supine AHI, lowest oxygen saturation (LSaO

resultsA total of 167 patients were enrolled, with 122 in the study group and 45 in the validation group. Univariate correlation analysis revealed a significant correlation between PAP pressure and age, BMI, ESS, AHI, supine AHI, LSaO

conclusionPSG variables can be used to predict PAP pressure in Chinese OSA patients, but for some individuals, the prediction model is not very good. PAP is correlated with age, BMI, ESS, AHI, supine AHI, LSaO

Indexed as

Body Mass IndexContinuous Positive Airway PressurePolysomnographySleep Apnea, ObstructiveAdultAgedChinaEast Asian PeopleFemaleHumansMaleMiddle AgedOxygen SaturationRetrospective StudiesTreatment OutcomeChinaobstructive sleep apnea (OSA)optimal pressurepositive airway pressure (PAP)prediction

Identifiers

PMID39716408
PMCPMC11666474

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Registered trials

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.