Evidence map›Paper›PMID 40847209›Full record

ArticleEuropean journal of epidemiology2025

Cohort profile: the West-China hospital alliance longitudinal epidemiology wellness (WHALE) study.

Yifei Lin, Yong Yang, Zhuyue Li, Liang Du, Rui Shi, Qingke Shi, Xueru Xu, Geng Yin, Fan Zhang, Wenxia Huang and 6 more

Abstract read
In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

16 authors.

Yifei Lin *Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China. ylin@wchscu.edu.cn.ORCID http://orcid.org/0000-0002-3184-9213
Yong Yang *Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhuyue Li *Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Liang DuHealth Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Rui ShiEngineering Research Center of Medical Information Technology, Ministry of Education, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qingke ShiEngineering Research Center of Medical Information Technology, Ministry of Education, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xueru XuHealth Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Geng YinDepartment of General Practice, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fan ZhangDepartment of General Practice, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wenxia HuangDepartment of General Practice, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yan HuangDepartment of General Practice, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ga LiaoHealth Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qilin LiuHealth Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Weimin LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Huan SongWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. songhuan@wchscu.cn.
Jin HuangHealth Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, Sichuan, China. michael_huangjin@163.com.

Funding

National Natural Science Foundation of China 32471519West China Hospital, Sichuan University 2023HXFH044West China Hospital, Sichuan University ZYGD23039
6 · The paper itself

Abstract

The West-China Hospital Alliance Longitudinal Epidemiology Wellness (WHALE) Study establishes a robust, multidimensional database to provide comprehensive insights into health-to-disease transitions, advancing proactive healthcare and enhancing understanding of the interplay among genetic, behavioral, and environmental factors in disease. The WHALE Study includes a database and a cohort. The WHALE Database, established in 2010, integrates health check-up data from 11 hospitals, covering sociodemographic, lifestyle, medical history, and clinical data. The WHALE Health Trajectory Cohort, launched in November 2024, recruits adults with at least three health check-ups, featuring biennial active follow-ups and passive linkage with regional healthcare databases. As of January 2025, the WHALE Database includes over 3.4 million health records from 1,526,686 participants, with a mean age of 40.3 years and a balanced gender distribution. Notably, 23.88% of participants had at least three health check-ups, and 3.31% had more than ten, highlighting a significant proportion with repeated measurements. The study provides key insights into health trajectories by examining the associations of biomarker data and their trajectory patterns with aging, pre-disease conditions, and disease diagnoses. The strengths of the WHALE Study include its large sample size, longitudinal design, diverse representation, comprehensive data, and robust quality control. Limitations include potential selection bias, data variability across centers, and reliance on self-reported data for some variables.

Indexed as

Health StatusAdultAgedChinaDatabases, FactualFemaleHumansLife StyleLongitudinal StudiesMaleMiddle AgedBig dataHealth check-upHealth trajectoryLongitudinal cohort studyMulti-omicsProactive health

Identifiers

PMID40847209
PMCPMC12537590

What OpenQuestion holds

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LicenceCC BY
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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.