Evidence map›Paper›PMID 37392542›Full record

ArticleAtherosclerosis2023

Associations of alcohol intake with subclinical carotid atherosclerosis in 22,000 Chinese adults.

Tianyu Zhou, Pek Kei Im, Parisa Hariri, Huaidong Du, Yu Guo, Kuang Lin, Ling Yang, Canqing Yu, Yiping Chen, Rajani Sohoni and 10 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atherosclerosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. International journal of nanomedicine · 2026
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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

20 authors at 4 institutions in 3 countries.

Tianyu ZhouClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Product Development, Roche, Shanghai, China.
Pek Kei ImClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Parisa HaririClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Huaidong DuClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yu GuoFuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Kuang LinClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yiping ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Rajani SohoniClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Daniel AveryClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Meiyu GuanDiseases Prevention and Control Department, Qingdao Cancer Hospital, Qingdao, China.
Meng YangDepartment of Ultrasonography, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Robert ClarkeClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Robin G WaltersClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Iona Y MillwoodClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK. Electronic address: iona.millwood@ndph.ox.ac.uk.
China Kadoorie Biobank Group
University of Oxford · GBPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Turku · FI

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK 29186Cancer Research UK C16077/A29186Cancer Research UK C500/A16896Medical 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 088158Wellcome Trust 088158/Z/09/ZWellcome Trust 104085Wellcome Trust 104085/Z/14/ZWellcome Trust 202922Wellcome Trust 202922/Z/16/ZWellcome Trust 212946Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

BACKGROUND AND

aimsWe investigated the causal relevance of alcohol intake with measures of carotid artery thickness and atherosclerosis in Chinese adults.

methodsThe study included 22,384 adults from the China Kadoorie Biobank, with self-reported alcohol use at baseline and resurvey, carotid artery ultrasound measurements, and genotyping data for ALDH2-rs671 and ADH1B-rs1229984. Associations of carotid intima media thickness (cIMT), any carotid plaque, and total plaque burden (derived from plaque number and size) with self-reported (conventional analyses) and genotype-predicted mean alcohol intake (Mendelian randomization) were assessed using linear and logistic regression models.

resultsOverall 34.2% men and 2.1% women drank alcohol regularly at baseline. Mean cIMT was 0.70 mm in men and 0.64 mm in women, with 39.1% and 26.5% having carotid plaque, respectively. Among men, cIMT was not associated with self-reported or genotype-predicted mean alcohol intake. The risk of plaque increased significantly with self-reported intake among current drinkers (odds ratio 1.42 [95% CI 1.14-1.76] per 280 g/week), with directionally consistent findings with genotype-predicted mean intake (1.21 [0.99-1.49]). Higher alcohol intake was significantly associated with higher carotid plaque burden in both conventional (0.19 [0.10-0.28] mm higher per 280 g/week) and genetic analyses (0.09 [0.02-0.17]). Genetic findings in women suggested the association of genotype-predicted alcohol with carotid plaque burden in men was likely to due to alcohol itself, rather than pleiotropic genotypic effects.

conclusionsHigher alcohol intake was associated with a higher carotid plaque burden, but not with cIMT, providing support for a potential causal association of alcohol intake with carotid atherosclerosis.

Indexed as

Alcohol DrinkingCarotid Artery DiseasesCarotid Intima-Media ThicknessPlaque, AtheroscleroticAdultAldehyde Dehydrogenase 1 FamilyAldehyde Dehydrogenase, MitochondrialCarotid ArteriesEast Asian PeopleFemaleHumansMaleRisk FactorsAldehyde Dehydrogenase 1 FamilyAldehyde Dehydrogenase, MitochondrialALDH1B1 protein, humanALDH2 protein, humanAlcoholAlcohol dehydrogenaseAldehyde dehydrogenaseAtherosclerosisCarotid intima media thicknessCarotid plaqueMendelian randomization

Identifiers

PMID37392542
PMCPMC7615083
OpenAlexW4380786804

What Socratic 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 Socratic graph.