Evidence map›Paper›PMID 28542413›Full record

ArticlePloS one2017

Association of drinking pattern with risk of coronary heart disease incidence in the middle-aged and older Chinese men: Results from the Dongfeng-Tongji cohort.

Yizhi Zhang, Yanqiu Yu, Yu Yuan, Kuai Yu, Handong Yang, Xiulou Li, Xinwen Min, Ce Zhang, Meian He, Xiaomin Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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 at 2 institutions in 1 country.

Yizhi ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Yanqiu YuDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Yu YuanDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Kuai YuDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Handong YangDepartment of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China.
Xiulou LiDepartment of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China.
Xinwen MinDepartment of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China.
Ce ZhangDepartment of Cardiovascular Diseases, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China.
Meian HeDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Xiaomin ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.
Tangchun WuDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.ORCID http://orcid.org/0000-0001-9931-5106
Huazhong University of Science and Technology · CNHubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiologic studies have found that moderate alcohol consumption was associated with a decreased risk of coronary heart disease (CHD) incidence. Nevertheless, whether the drinking pattern is associated with CHD incidence still remains inconclusive.

methodsWe included 8,469 Chinese men aged 45-81 years, who were free of CHD, stroke, or cancer at baseline from Dongfeng-Tongji cohort. A semi-structured questionnaire was used to collect information on alcohol consumption and other covariates. Cox proportional hazard regression model was applied to estimate the multivariable-adjusted hazard rations (HRs) and 95% confidence intervals (95% CIs).

resultsDuring an average of 4.36 years of follow-up, we identified 959 incident CHD events. Compared with non-drinkers, the multivariable-adjusted HR (95% CI) of CHD incidence was 0.84 (0.71-0.98) in current drinkers. With respect to drinking pattern, men who consumed 20.01-40 grams ethanol once a time had a 24% lower risk of incident CHD (HR = 0.76, 95% CI = 0.62, 0.94) compared with non-drinkers. The adjusted HRs (95% CI) of CHD incidence were 0.80 (0.65, 0.99), 1.02 (0.84, 1.22), and 0.75 (0.59-0.96) in subjects who consumed 0.01-10, 10.01-30, and > 30 grams ethanol per day, respectively. Participants who consumed 20.01-40 grams ethanol per time with less than 5 times per week had the lowest risk of CHD incidence (HR = 0.73, 95% CI = 0.52, 0.96). No significant associations were observed between type or frequency of alcohol consumption and CHD incidence.

conclusionsDrinking was associated with a lower risk of CHD incidence in middle-aged and older Chinese men and moderate quantity of ethanol amounts once a time with lower frequency could been considered as a healthy drinking pattern, which might modify the relationship between alcohol consumption and incident CHD.

Indexed as

AgedAged, 80 and overAge FactorsAlcohol DrinkingChinaCoronary DiseaseHumansMaleMiddle AgedProportional Hazards ModelsRisk Factors

Identifiers

PMID28542413
PMCPMC5444775
OpenAlexW2619649664

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.