Observational studyBMJ open2018
Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) Study.
Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05919056 (Cardiovascular Risk Assessment and dynamIc Monitoring-based Prevention Trial for prImary Care quALity evaLuation in Yinzhou), which is not on this map. Cited by 81 papers, 1 of them a synthesis that pooled 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.
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.
Cardiovascular Risk Assessment and dynamIc Monitoring-based Prevention Trial for prImary Care quALity evaLuation in Yinzhou
Who cites it
81 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.International journal of population data science · 2022Pooled it
- Metacognitive training: a useful complement to community-based rehabilitation for schizophrenia patients in China.BMC psychiatry · 2021Trial
- Influenza vaccination associates with reduced risk of incident ischemic stroke among older adults with diabetes: A population-based retrospective cohort study.Human vaccines & immunotherapeutics · 2026Article
- [Application of biological age for cardiovascular risk prediction in a community-based Chinese cohort].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Comprehensive epidemiological analyses of urinary stone diseases in eastern China: a regional population-based study.BMC public health · 2026Article
- Synthetic data Using Population Profiles for cardiOvascular Risk facTors (SUPPORT) in mainland China.Scientific data · 2026Article
- The role of artificial intelligence in advancing population-based cancer registration.Science bulletin · 2026Review
- Precision cardiovascular medicine with big data and AI.NPJ digital medicine · 2026Review
- Polypharmacy, determinants, and adverse outcomes in elderly patients with heart failure: a multicenter retrospective cohort study of 7,361 subjects.BMC geriatrics · 2026Article
- Epidemiology of pediatric dry eye disease in Eastern China, 2017-2021: a retrospective population-based study.European journal of pediatrics · 2025Article
- Article
- Peer effects on appropriate antibiotic prescribing within a patient-sharing physician network in China.Communications medicine · 2025Article
- Attitudes Toward Common Data Models Among Chinese Biomedical Professionals: Cross-Sectional Survey.JMIR medical informatics · 2025Article
- Development and validation of a stroke risk prediction model using regional healthcare big data and machine learning.International journal of nursing sciences · 2025Article
- Article
- Estimating cardiovascular effects of influenza vaccination in older adults: a target trial emulation using proximal causal inference.EClinicalMedicine · 2025Article
- Article
- Impacts of COPD exacerbation history on mortality and severe cardiovascular events among patients with COPD in China: a retrospective cohort study.Respiratory research · 2025Article
- [Association of triglyceride-glucose index and cardiovascular disease in a community-based Chinese cohort].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025Article
- Angiotensin receptor blockers use and lung cancer risk in Chinese patients with chronic obstructive pulmonary disease: a population-based cohort study.Respiratory research · 2025Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionData based on electronic health records (EHRs) are rich with individual-level longitudinal measurement information and are becoming an increasingly common data source for clinical risk prediction worldwide. However, few EHR-based cohort studies are available in China. Harnessing EHRs for research requires a full understanding of data linkages, management, and data quality in large data sets, which presents unique analytical opportunities and challenges. The purpose of this study is to provide a framework to establish a uniquely integrated EHR database in China for scientific research. METHODS AND ANALYSIS: The CHinese Electronic health Records Research in Yinzhou (CHERRY) Study will extract individual participant data within the regional health information system of an eastern coastal area of China to establish a longitudinal population-based ambispective cohort study for cardiovascular care and outcomes research. A total of 1 053 565 Chinese adults aged over 18 years were registered in the health information system in 2009, and there were 23 394 deaths from 1 January 2009 to 31 December 2015. The study will include information from multiple epidemiological surveys; EHRs for chronic disease management; and health administrative, clinical, laboratory, drug and electronic medical record (EMR) databases. Follow-up of fatal and non-fatal clinical events is achieved through records linkage to the regional system of disease surveillance, chronic disease management and EMRs (based on diagnostic codes from the International Classification of Diseases, tenth revision). The CHERRY Study will provide a unique platform and serve as a valuable big data resource for cardiovascular risk prediction and population management, for primary and secondary prevention of cardiovascular events in China. ETHICS AND DISSEMINATION: The CHERRY Study was approved by the Peking University Institutional Review Board (IRB00001052-16011) in April 2016. Results of the study will be disseminated through published journal articles, conferences and seminar presentations, and on the study website (http://www.cherry-study.org).
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Registered trials
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.