Evidence map›Paper›PMID 35778970›Full record

ArticleJournal of diabetes investigation2022

Prevalence of obstructive sleep apnea syndrome in hospitalized patients with type 2 diabetes in Beijing, China.

Shan Ding, Puhong Zhang, Li Wang, Du Wang, Kaige Sun, Yahui Ma, Hongbing Wang, Chun Xu, Rui Zhang, Xianbo Zhang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

15 authors at 4 institutions in 2 countries.

Shan DingDepartment of Endocrinology, National Center of Gerontology, Chinese Academy of Sciences, Beijing Hospital, Institute of Geriatric Medicine, Beijing, China.
Puhong ZhangThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Li WangDepartment of Endocrinology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Du WangThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Kaige SunThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Yahui MaDepartment of Endocrinology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Hongbing WangNational Center of Gerontology, Sleep Center Lab, Beijing Hospital, Beijing, China.
Chun XuDepartment of Endocrinology, The Third Medical Center of Chinese Hospital of People's Liberation Army, Beijing, China.
Rui ZhangDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Xianbo ZhangDepartment of Endocrinology, National Center of Gerontology, Chinese Academy of Sciences, Beijing Hospital, Institute of Geriatric Medicine, Beijing, China.
Hongyu WangDepartment of Endocrinology, The Third Medical Center of Chinese Hospital of People's Liberation Army, Beijing, China.
Fang ZhaoThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Xian LiThe George Institute for Global Health at Peking University Health Science Center, Beijing, China.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Lixin GuoDepartment of Endocrinology, National Center of Gerontology, Chinese Academy of Sciences, Beijing Hospital, Institute of Geriatric Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-1579-0717
Peking University · CN307th Hospital of Chinese People’s Liberation Army · CNChinese Academy of Sciences · CNCapital Medical University · CN

Funding

Beijing Municipal Science and Technology Commission D141107005314005
6 · The paper itself

Abstract

AIMS/

introductionTo estimate the prevalence, and patient clinical and demographic profile, as well as risk factors associated with obstructive sleep apnea syndrome (OSAS) in hospitalized patients with type 2 diabetes mellitus in Beijing, China. MATERIALS AND

methodsHospitalized adult patients with type 2 diabetes mellitus were consecutively screened and invited for an overnight polysomnography from four hospitals in Beijing, China, from May 2016 to February 2017. We used the American Academy of Sleep Medicine 2012 polysomnography recording techniques and scoring criteria to identify the type of apnea and the severity of OSAS. The χ

resultsA total of 735 patients were found eligible for the study, of whom 309 patients completed the overnight polysomnography. The mean age of the patients was 58.2 ± 10.9 years, and most (67.3%) were men. The prevalence of overall (apnea hypopnea index ≥5/h), moderate-to-severe (apnea hypopnea index ≥15/h) and severe (apnea hypopnea index ≥30/h) OSAS was 66.3% (95% confidence interval 60.8-71.6%), 35.6% (95% confidence interval 30.3-41.2%) and 16.5% (95% confidence interval 12.5-21.1%), respectively. Central and mixed apnea contributed 12% to all sleep-disordered breathing. With the aggravation of OSAS, the combined prevalence for central, mixed and obstructive apnea increased from 57% to 70%. We found OSAS to be associated with older age, obesity, self-reported snoring and apnea, and diabetes complications.

conclusionsGuidelines on screening and treatment of OSAS among hospitalized patients with diabetes are needed to direct the routine practice for diabetes endocrinologists for optimal clinical care of such patients.

Indexed as

Diabetes Mellitus, Type 2Sleep Apnea, ObstructiveAdultAgedBeijingFemaleHumansMaleMiddle AgedPrevalenceSnoringObstructive sleep apneaPrevalenceType 2 diabetes

Identifiers

PMID35778970
PMCPMC9623507
OpenAlexW4282918449

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.