Evidence map›Paper›PMID 38304719›Full record

ArticleThe Lancet regional health. Western Pacific2024

Causal association between snoring and stroke: a Mendelian randomization study in a Chinese population.

Yunqing Zhu, Zhenhuang Zhuang, Jun Lv, Dianjianyi Sun, Pei Pei, Ling Yang, Iona Y Millwood, Robin G Walters, Yiping Chen, Huaidong Du and 8 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

18 authors at 4 institutions in 2 countries.

Yunqing ZhuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Zhenhuang ZhuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China.
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom.
Iona Y MillwoodMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom.
Robin G WaltersMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom.
Huaidong DuMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom.
Xianping WuSuzhou Centers for Disease Control, NO.72 Sanxiang Road, Gusu District, Suzhou, 215004, Jiangsu, China.
Dan SchmidtClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom.
Daniel AveryClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, 100022, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom.
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
China Kadoorie Biobank Collaborative Group
University of Oxford · GBPeking University · CNSuzhou Research Institute · CNChina National Center for Food Safety Risk Assessment · CN

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Previous observational studies established a positive relationship between snoring and stroke. We aimed to investigate the causal effect of snoring on stroke. Methods: Based on 82,339 unrelated individuals with qualified genotyping data of Asian descent from the China Kadoorie Biobank (CKB), we conducted a Mendelian randomization (MR) analysis of snoring and stroke. Genetic variants identified in the genome-wide association analysis (GWAS) of snoring in CKB and UK Biobank (UKB) were selected for constructing genetic risk scores (GRS). A two-stage method was applied to estimate the associations of the genetically predicted snoring with stroke and its subtypes. Besides, MR analysis among the non-obese group (body mass index, BMI <24.0 kg/m Findings: Positive associations were found between snoring and total stroke, hemorrhagic stroke (HS), and ischemic stroke (IS). With GRS of CKB, the corresponding HRs (95% CIs) were 1.56 (1.15, 2.12), 1.50 (0.84, 2.69), 2.02 (1.36, 3.01), and the corresponding HRs (95% CIs) using GRS of UKB were 1.78 (1.30, 2.43), 1.94 (1.07, 3.52), and 1.74 (1.16, 2.61). The associations remained stable in the MR among the non-obese group, MVMR analysis, and MR analysis using the IVW method. Interpretation: This study suggests that, among Chinese adults, genetically predicted snoring could increase the risk of total stroke, IS, and HS, and the causal effect was independent of BMI. Funding: National Natural Science Foundation of China, Kadoorie Charitable Foundation Hong Kong, UK Wellcome Trust, National Key R&D Program of China, Chinese Ministry of Science and Technology.

Indexed as

Body mass indexMendelian randomizationSnoringStroke

Identifiers

PMID38304719
PMCPMC10832459
OpenAlexW4391154173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.