Evidence map›Paper›PMID 36340248›Full record

ArticleJACC. Asia2022

Evaluation of Atherosclerotic Cardiovascular Risk Prediction Models in China: Results From the CHERRY Study.

Xiaofei Liu, Peng Shen, Dudan Zhang, Yexiang Sun, Yi Chen, Jingyuan Liang, Jinguo Wu, Jingyi Zhang, Ping Lu, Hongbo Lin and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JACC. Asia, 2022. 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 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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.

NCT05919056 narecruitingnot on this mapstarted 2023, after this paper: background citation

Cardiovascular Risk Assessment and dynamIc Monitoring-based Prevention Trial for prImary Care quALity evaLuation in Yinzhou

TypeinterventionalSponsorPeking UniversityRan2023 to 2028Enrolled22,032ConditionsCardiovascular DiseasesArmsFrequent and automatic cardiovascular risk assessment, Dynamic risk monitoring, Regular GP visits
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Xiaofei LiuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Peng ShenYinzhou District Center for Disease Control and Prevention, Ningbo, China.
Dudan ZhangMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, United Kingdom.
Yexiang SunYinzhou District Center for Disease Control and Prevention, Ningbo, China.
Yi ChenDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Jingyuan LiangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Jinguo WuWonders Information Co., Ltd, Shanghai, China.
Jingyi ZhangWonders Information Co., Ltd, Shanghai, China.
Ping LuWonders Information Co., Ltd, Shanghai, China.
Hongbo LinYinzhou District Center for Disease Control and Prevention, Ningbo, China.
Xun TangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Pei GaoDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Peking University · CNNingbo Center for Disease Control and Prevention · CNWanfang Data (China) · CNUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Updated American or Chinese guidelines recommended calculating atherosclerotic cardiovascular disease (ASCVD) risk using the Pooled Cohort Equations (PCE) or Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) models; however, evidence on performance of both models in Asian populations is limited. Objectives: The authors aimed to evaluate the accuracy of the PCE or China-PAR models in a Chinese contemporary cohort. Methods: Data were extracted from the CHERRY (CHinese Electronic health Records Research in Yinzhou) study. Participants aged 40 to 79 years without prior ASCVD at baseline from 2010 to 2016 were included. ASCVD was defined as nonfatal or fatal stroke, nonfatal myocardial infarction, and cardiovascular death. Models were assessed for discrimination and calibration. Results: Among 226,406 participants, 5362 (2.37%) adults developed a first ASCVD event during a median of 4.60 years of follow-up. Both models had good discrimination: Conclusions: In this large-scale population-based study, both PCE and China-PAR had good discrimination in 5-year ASCVD risk prediction. China-PAR outperformed PCE in calibration, whereas recalibration equalized the performance of PCE and China-PAR. Further specific models are needed to improve accuracy in the highest-risk groups.

Indexed as

ACC/AHA, American College of Cardiology/American Heart AssociationASCVD, atherosclerotic cardiovascular diseaseatherosclerotic cardiovascular diseaseChineseEHR, electronic health recordelectronic health recordsEMR, electronic medical recordPCE, pooled cohort equationsprimary preventionrisk assessment

Identifiers

PMID36340248
PMCPMC9627894
OpenAlexW4206705897

What OpenQuestion holds

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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.