Evidence map›Paper›PMID 38318914›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2024

[Association between insomnia and type 2 diabetes: A two-sample Mendelian rando-mization study].

Yujia Ma, Ranli Lu, Zechen Zhou, Xiaoyi Li, Zeyu Yan, Yiqun Wu, Dafang Chen

Open access · greenAbstract readEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 2 countries.

Yujia MaDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Ranli LuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Zechen ZhouDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Xiaoyi LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Zeyu YanDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Yiqun WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing 100191, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the robust relationship between insomnia and type 2 diabetes mellitus by two-sample Mendelian randomization analysis to overcome confounding factors and reverse causality in observational studies.

methodsWe identified strong, independent single nucleotide polymorphisms (SNPs) of insomnia from the most up to date genome wide association studies (GWAS) within European ancestors and applied them as instrumental variable to GWAS of type 2 diabetes mellitus. After excluding SNPs that were significantly associated with smoking, physical activity, alcohol consumption, educational attainment, obesity, or type 2 diabetes mellitus, we assessed the impact of insomnia on type 2 diabetes mellitus using inverse variance weighting (IVW) method. Weighted median and MR-Egger regression analysis were also conducted to test the robustness of the association. We calculated the

resultsWe selected 248 SNPs independently associated with insomnia at the genome-wide level (

conclusionInsomnia is a risk factor of type 2 diabetes mellitus, which has positively effects on type 2 diabetes mellitus. Our study provides further rationale for indivi-duals at risk for diabetes to keep healthy lifestyle.

Indexed as

Diabetes Mellitus, Type 2Sleep Initiation and Maintenance DisordersGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideReproducibility of ResultsRisk FactorsDiabetes mellitus, type 2Mendelian rando-mization analysisSleep initiation and maintenance disorders

Identifiers

PMID38318914
PMCPMC10845186
OpenAlexW4394738229

What OpenQuestion holds

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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.