Evidence map›Paper›PMID 36937914›Full record

ArticleFrontiers in cardiovascular medicine2023

Causal association between sleep traits and the risk of coronary artery disease in patients with diabetes.

Mengyun Tian, Hongchuang Ma, Jiaxi Shen, Teng Hu, Hanbin Cui, Ning Huangfu

Open access · goldFull text read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. 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
0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 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

6 authors at 2 institutions in 1 country.

Mengyun TianSchool of Medicine, Ningbo University, Ningbo, China.
Hongchuang MaDepartment of Cardiology, Ningbo First Hospital, Ningbo, China.
Jiaxi ShenDepartment of Cardiology, Key Laboratory of Precision Medicine for Atherosclerotic Diseases of Zhejiang Province, Ningbo, China.
Teng HuSchool of Medicine, Ningbo University, Ningbo, China.
Hanbin CuiDepartment of Cardiology, Ningbo First Hospital, Ningbo, China.
Ning HuangfuDepartment of Cardiology, Ningbo First Hospital, Ningbo, China.
University of Nottingham Ningbo China · CNNingbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The association between sleep traits and coronary artery disease (CAD) in patients with diabetes has been reported in previous observational studies. However, whether these potential relationships are causal remains unclear. We aim to assess the causal relationship between sleep traits and CAD in diabetic. Methods: Genetic instrumental variables associated with five sleep-related traits (insomnia, sleep duration, ease of getting up, morningness and snoring) were extracted from corresponding genome-wide association studies (GWAS). The associations of genetic variants with CAD were based on 15,666 individuals with diabetes (3,968 CAD cases and 11,696 controls). The primary analysis was derived using the inverse variance weighting method. Further sensitivity analysis was conducted to confirm the robustness and consistency of the main results. Results: Genetic liability to insomnia was significantly related to the increased risk of CAD in individuals with diabetes [odds ratio (OR): 1.163; 95% CI: 1.072-1.254; Conclusions: We provide consistent evidence for the causal effect of insomnia on the increased risk of CAD in individuals with diabetes. The management of sleep health should be emphasized to prevent CAD in diabetic patients.

Indexed as

causal associationcoronary artery diseasediabetesinsomniasleep traits

Identifiers

PMID36937914
PMCPMC10020648
OpenAlexW4323044710

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read20
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.