Evidence map›Paper›PMID 30955975›Full record

ArticleLancet (London, England)2019

Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China.

Iona Y Millwood, Robin G Walters, Xue W Mei, Yu Guo, Ling Yang, Zheng Bian, Derrick A Bennett, Yiping Chen, Caixia Dong, Ruying Hu and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Lancet (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 282 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
282citing papers in PubMed, 13 pooled it
40.8field-weighted citation impact, top 1% 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

282 citing papers in PubMed, 13 syntheses or guidelines pooled it, 496 citations in OpenAlex.

  1. Pooled it
  2. Does illicit drug use increase stroke risk? A systematic review, meta-analyses, and Mendelian randomization analysis.International journal of stroke : official journal of the International Stroke Society · 2026
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  3. The Japanese Society of Hypertension Guidelines for the management of elevated blood pressure and hypertension 2025 (JSH2025).Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  16. Health risk factors in Australian Stroke Survivors: A latent class analysis.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2024
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222 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 9 institutions in 2 countries.

Iona Y MillwoodMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Robin G WaltersMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Xue W MeiMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Ling YangMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Derrick A BennettClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Caixia DongGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Ruying HuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Gang ZhouHenan Center for Disease Control and Prevention, Zhengzhou, China.
Bo YuNangang Center for Disease Control and Prevention, Harbin, China.
Weifang JiaLiuyang Center for Disease Control and Prevention, Changsha, China.
Sarah ParishMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Robert ClarkeClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
Rory CollinsClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Michael V HolmesMedical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China. Electronic address: lmleeph@vip.163.com.
Richard PetoClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. Electronic address: zhengming.chen@ndph.ox.ac.uk.
China Kadoorie Biobank Collaborative Group
University of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNMedical Research Council · GBChinese Center For Disease Control and Prevention · CNGansu Provincial Center for Disease Control and Prevention · CNHenan Provincial Center for Disease Control and Prevention · CNPeking University · CNUniversity of Bristol · GBZhejiang Center for Disease Control and Prevention · CN

Funding

British Heart Foundation FS/18/23/33512Medical Research Council MC_PC_13049Medical Research Council MC_PC_14135Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust
6 · The paper itself

Abstract

backgroundModerate alcohol intake has been associated with reduced cardiovascular risk in many studies, in comparison with abstinence or with heavier drinking. Studies in east Asia can help determine whether these associations are causal, since two common genetic variants greatly affect alcohol drinking patterns. We used these two variants to assess the relationships between cardiovascular risk and genotype-predicted mean alcohol intake in men, contrasting the findings in men with those in women (few of whom drink).

methodsThe prospective China Kadoorie Biobank enrolled 512 715 adults between June 25, 2004, and July 15, 2008, from ten areas of China, recording alcohol use and other characteristics. It followed them for about 10 years (until Jan 1, 2017), monitoring cardiovascular disease (including ischaemic stroke, intracerebral haemorrhage, and myocardial infarction) by linkage with morbidity and mortality registries and electronic hospital records. 161 498 participants were genotyped for two variants that alter alcohol metabolism, ALDH2-rs671 and ADH1B-rs1229984. Adjusted Cox regression was used to obtain the relative risks associating disease incidence with self-reported drinking patterns (conventional epidemiology) or with genotype-predicted mean male alcohol intake (genetic epidemiology-ie, Mendelian randomisation), with stratification by study area to control for variation between areas in disease rates and in genotype-predicted intake.

findings33% (69 897/210 205) of men reported drinking alcohol in most weeks, mainly as spirits, compared with only 2% (6245/302 510) of women. Among men, conventional epidemiology showed that self-reported alcohol intake had U-shaped associations with the incidence of ischaemic stroke (n=14 930), intracerebral haemorrhage (n=3496), and acute myocardial infarction (n=2958); men who reported drinking about 100 g of alcohol per week (one to two drinks per day) had lower risks of all three diseases than non-drinkers or heavier drinkers. In contrast, although genotype-predicted mean male alcohol intake varied widely (from 4 to 256 g per week-ie, near zero to about four drinks per day), it did not have any U-shaped associations with risk. For stroke, genotype-predicted mean alcohol intake had a continuously positive log-linear association with risk, which was stronger for intracerebral haemorrhage (relative risk [RR] per 280 g per week 1·58, 95% CI 1·36-1·84, p<0·0001) than for ischaemic stroke (1·27, 1·13-1·43, p=0·0001). For myocardial infarction, however, genotype-predicted mean alcohol intake was not significantly associated with risk (RR per 280 g per week 0·96, 95% CI 0·78-1·18, p=0·69). Usual alcohol intake in current drinkers and genotype-predicted alcohol intake in all men had similarly strong positive associations with systolic blood pressure (each p<0·0001). Among women, few drank and the studied genotypes did not predict high mean alcohol intake and were not positively associated with blood pressure, stroke, or myocardial infarction.

interpretationGenetic epidemiology shows that the apparently protective effects of moderate alcohol intake against stroke are largely non-causal. Alcohol consumption uniformly increases blood pressure and stroke risk, and appears in this one study to have little net effect on the risk of myocardial infarction.

fundingChinese Ministry of Science and Technology, Kadoorie Charitable Foundation, National Natural Science Foundation of China, British Heart Foundation, Cancer Research UK, GlaxoSmithKline, Medical Research Council, and Wellcome Trust.

Indexed as

AdultAgedAlcohol DehydrogenaseAlcohol DrinkingAldehyde Dehydrogenase, MitochondrialAsia, EasternBlood PressureCardiovascular DiseasesCerebral HemorrhageChinaFemaleGenotypeHumansIncidenceMaleMiddle AgedADH1B protein, humanAlcohol DehydrogenaseAldehyde Dehydrogenase, MitochondrialALDH2 protein, human

Identifiers

PMID30955975
PMCPMC6497989
OpenAlexW2928401928

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LicenceCC BY
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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.