Evidence map›Paper›PMID 37160494›Full record

SynthesisSleep & breathing = Schlaf & Atmung2023

Meta-analysis of correlation between sleep duration and gender difference in adults with type 2 diabetes.

Chaoyu Wang, Yanhong Liu, Xiaojuan Chen, Jinru Zhu, Qinglan Wu, Huimin Chen, Huizhao Liao, Junyan Lin, Zhiwei Wang, Zhenzhen Zheng and 1 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Sleep & breathing = Schlaf & Atmung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Chaoyu Wang *Taishan Hospital of Traditional Chinese Medicine, Jiangmen, China.
Yanhong Liu *Taishan Hospital of Traditional Chinese Medicine, Jiangmen, China.
Xiaojuan Chen *Medical College of Jiaying University, Meizhou, China.
Jinru Zhu *The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524003, Guangdong, China.
Qinglan WuCentral People's Hospital of Zhanjiang, Zhanjiang, China.
Huimin ChenThe Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524003, Guangdong, China.
Huizhao LiaoState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Junyan LinState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhiwei WangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhenzhen ZhengThe Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524003, Guangdong, China. zhengzhenzhen2018@163.com.
Riken ChenState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China. chenriken@126.com.

Funding

Natural Science Foundation of Guangdong Province 2019A1515010981
6 · The paper itself

Abstract

objectiveTo explore the correlation between sleep duration and type II diabetes in adults.

methodComputer databases searches were carried out through October 1, 2022, including PubMed, Cochrane Library, Embase, and Web of Science. Relevant literature was collected, and the Newcastle-Ottawa Scale (NOS) and extracted data were used to exclude studies and evaluate quality on the basis of inclusion and exclusion criteria. Meta-analysis was conducted using RevMan 5.4.1 software with random/fixed effects models.

resultsA total of 5 studies with 74,226 subjects (31,611 in the male study group, 42,615 in the female study group) were included. The meta-analysis revealed that women with long sleep duration (LSD) have a higher risk for developing type II diabetes than men, OR = 0.70; 95% CI 0.59-0.84, Z = 4.00 and P < 0.001. Men with short sleep duration (SSD) tended to have a higher risk in developing type II diabetes than women though the difference between men and women did not reach statistical significance, OR = 1.09, 95% CI 0.73-1.62, Z = 0.42 and P = 0.68. Further subgroup analysis by regional populations suggested that men in Europe and America with SSD had a higher risk of type II diabetes OR = 1.52, 95% CI 1.04-2.21, Z = 2.18 and P = 0.03.

conclusionWomen with LSD may have a higher risk for type II diabetes, and men in Europe and America with SSD may have a higher risk for type II diabetes than men of other regions.

Indexed as

Diabetes Mellitus, Type 2Sleep Wake DisordersAdultEuropeFemaleHumansMaleSex FactorsSleep DurationDiabetesGenderMeta-analysisSleep duration

Identifiers

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Registered trials

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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.