Evidence map›Paper›PMID 37008262›Full record

ArticleBulletin of the World Health Organization2023

WHO cardiovascular disease risk prediction model performance in 10 regions, China.

Songchun Yang, Yinqi Ding, Canqing Yu, Yu Guo, Yuanjie Pang, Dianjianyi Sun, Pei Pei, Ling Yang, Yiping Chen, Huaidong Du and 9 more

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Article in Bulletin of the World Health Organization, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

19 authors.

Songchun YangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
Yinqi DingDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
Canqing YuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
Yu GuoFuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yuanjie PangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Ling YangMedical Research Council Population Health Research Unit, University of Oxford, Oxford, England.
Yiping ChenMedical Research Council Population Health Research Unit, University of Oxford, Oxford, England.
Huaidong DuMedical Research Council Population Health Research Unit, University of Oxford, Oxford, England.
Dan SchmidtNuffield Department of Population Health, University of Oxford, Oxford, England.
Rebecca StevensNuffield Department of Population Health, University of Oxford, Oxford, England.
Derrick BennettMedical Research Council Population Health Research Unit, University of Oxford, Oxford, England.
Robert ClarkeNuffield Department of Population Health, University of Oxford, Oxford, England.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenNuffield Department of Population Health, University of Oxford, Oxford, England.
Liming LiDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing100191, China.
China Kadoorie Biobank Collaborative Group

Funding

Wellcome Trust
6 · The paper itself

Abstract

Objective: To validate the World Health Organization (WHO) non-laboratory-based cardiovascular disease risk prediction model in regions of China. Methods: We performed an external validation of the WHO model for East Asia using the data set of China Kadoorie Biobank, an ongoing cohort study with 512 725 participants recruited from 10 regions of China from 2004-2008. We also recalculated the recalibration parameters for the WHO model in each region and evaluated the predictive performance of the model before and after recalibration. We assessed discrimination performance by Harrell's C index. Findings: We included 412 225 participants aged 40-79 years. During a median follow-up of 11 years, 58 035 and 41 262 incident cardiovascular disease cases were recorded in women and men, respectively. Harrell's C of the WHO model was 0.682 in women and 0.700 in men but varied among regions. The WHO model underestimated the 10-year cardiovascular disease risk in most regions. After recalibration in each region, discrimination and calibration were both improved in the overall population. Harrell's C increased from 0.674 to 0.749 in women and from 0.698 to 0.753 in men. The ratios of predicted to observed cases before and after recalibration were 0.189 and 1.027 in women and 0.543 and 1.089 in men. Conclusion: The WHO model for East Asia yielded moderate discrimination for cardiovascular disease in the Chinese population and had limited prediction for cardiovascular disease risk in different regions in China. Recalibration for diverse regions greatly improved discrimination and calibration in the overall population.

Indexed as

Cardiovascular DiseasesChinaCohort StudiesFemaleHumansMaleRisk AssessmentRisk FactorsWorld Health Organization

Identifiers

PMID37008262
PMCPMC10042093

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