Evidence map›Paper›PMID 36501087›Full record

ArticleNutrients2022

Genetic Predisposition, Fruit Intake and Incident Stroke: A Prospective Chinese Cohort Study.

Jun Wang, Jianxin Li, Fangchao Liu, Keyong Huang, Xueli Yang, Xiaoqing Liu, Jie Cao, Shufeng Chen, Chong Shen, Ling Yu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

17 authors at 7 institutions in 1 country.

Jun WangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jianxin LiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Fangchao LiuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Keyong HuangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xueli YangTianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Xiaoqing LiuDivision of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China.
Jie CaoDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Shufeng ChenDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Chong ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Ling YuDepartment of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China.
Fanghong LuCardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China.
Liancheng ZhaoDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Ying LiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Dongsheng HuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Jianfeng HuangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Dongfeng GuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xiangfeng LuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFujian Provincial Hospital · CNGuangdong Provincial People's Hospital · CNNanjing Medical University · CNShandong First Medical University · CNShenzhen University Health Science Center · CNTianjin Medical University · CN

Funding

Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences 2021-I2M-1-010, 2019-I2M-2-003, 2017-I2M-1-004National Key Research and Development Program of China 2018YFE0115300, 2017YFC0211700National Natural Science Foundation of China 82030102, 12126602, 91857118Research Unit of Prospective Cohort of Cardiovascular Diseases and Cancers, CAMS 2019RU038Taikang Yicai Public Health and Epidemic Control Fund TKYC-GW-2020
6 · The paper itself

Abstract

The aim of this study was to evaluate the association between fruit intake and stroke risk considering the genetic predisposition. We used data from 34,871 participants from the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR project) from 2007 to 2020. A polygenic risk score comprising 534 genetic variants associated with stroke and its related factors was constructed to categorize individuals into low, intermediate, and high genetic risk groups. The associations of genetic and fruit intake with incident stroke were assessed by the Cox proportional hazard regression. We documented 2586 incident strokes during a median follow-up of 11.2 years. Compared with fruit intake < 200 g/week, similar relative risk reductions in stroke with adherence to fruit intake > 100 g/day across the genetic risk categories were observed (28−32%), but the absolute risk reductions were relatively larger in the highest genetic risk group (p for trend = 0.03). In comparison to those with a fruit intake < 200 g/week, those with a fruit intake >100 g/day in the low, intermediate, and high genetic risk groups had an average of 1.45 (95% CI, 0.61−2.31), 2.12 (1.63−2.59), and 2.19 (1.13−3.22) additional stroke-free years at aged 35, respectively. Our findings suggest that individuals with a high genetic risk could gain more absolute risk reductions and stroke-free years than those with a low genetic risk from increasing fruit intake for the stroke primary prevention.

Indexed as

StrokeVegetablesCohort StudiesDietEast Asian PeopleFruitGenetic Predisposition to DiseaseHumansProspective StudiesRisk Factorsfruitpolygenic risk scorestroke

Identifiers

PMID36501087
PMCPMC9740837
OpenAlexW4310171931

What OpenQuestion holds

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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.