Evidence map›Paper›PMID 34557047›Full record

ArticleNature and science of sleep2021

A Single-Center Validation of the Accuracy of a Photoplethysmography-Based Smartwatch for Screening Obstructive Sleep Apnea.

Yibing Chen, Weifang Wang, Yutao Guo, Hui Zhang, Yundai Chen, Lixin Xie

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Guideline
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  4. Trial
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  6. Review
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  8. Sleep advances : a journal of the Sleep Research Society · 2026
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  19. The 2023 wearable photoplethysmography roadmap.Physiological measurement · 2023
    Review
  20. Article
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 at 1 institution in 1 country.

Yibing ChenDepartment of Respiratory and Critical Care Medicine, Senior Department of Respiratory and Critical Care Medicine, The First Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Weifang WangDepartment of Respiratory and Critical Care Medicine, Senior Department of Respiratory and Critical Care Medicine, The First Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Yutao GuoSenior Department of Cardiology, The Six Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Hui ZhangSenior Department of Cardiology, The Six Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Yundai ChenSenior Department of Cardiology, The Six Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Lixin XieSenior Department of Respiratory and Critical Care Medicine, The Eighth Medical Center PLA General Hospital, Beijing, People's Republic of China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA), the most common upper-airway disease, is closely associated with the risk of cardiovascular diseases. However, the early screening of OSA is a main challenge, relying on polysomnography (PSG) or home sleep apnea test (HSAT) in hospitals. Photoplethysmography (PPG) has been developed as a novel technology for screening of OSA, while the validation of PPG-based smart devices is limited compared to that for PSG or HSAT devices.

objectiveThis study aimed to investigate the feasibility and validity of a PPG-based smartwatch in the screening of OSA.

methodsA total of 119 patients were recruited from the Chinese People's Liberty Army General Hospital (Beijing, China). Among them, 20 patients were assessed for a whole-night sleep study by a smartwatch and PSG simultaneously, as well as 82 cases by a smartwatch and HSAT simultaneously. Using PSG or HSAT as the "gold standard", we compared the accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and positive likelihood ratio (+LR) or negative likelihood ratio (-LR) at three apnea hypopnea index (AHI) levels: AHI≥5, AHI≥15, and AHI≥30.

resultsA total of 17/119 patients were excluded from the study due to the poor quality of PPG signals. Among the remaining cases, 83 patients were diagnosed with OSA. Compared to HSAT device, the accuracy, sensitivity, and specificity of the PPG-based smartwatch in predicting moderate-to-severe OSA patients (AHI≥15) were 87.9%, 89.7%, and 86.0%, respectively. Compared to PSG device, the accuracy, sensitivity, and specificity of the PPG-based smartwatch in predicting OSA in patients (AHI≥5) were 81.1%, 76.5%, and 100%, respectively.

conclusionThe PPG-based smartwatch outperformed in terms of detecting OSA; nevertheless, validation in a large-scale population is imperative.

trial registrationChinese Clinical Trial Registry of the International Clinical Trials Registry Platform of the World Health Organization ChiCTR-OOC-17014138; http://www.chictr.org.cn/showprojen.aspx?proj=24191.

Indexed as

home sleep apnea testobstructive sleep apneaphotoplethysmographypolysomnographypulse oximetersleep

Identifiers

PMID34557047
PMCPMC8453177
OpenAlexW3199042163

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.