Evidence map›Paper›PMID 28337999›Full record

ArticleScientific reports2017

Comparison of validation and application on various cardiovascular disease mortality risk prediction models in Chinese rural population.

Changqing Sun, Fei Xu, Xiaotian Liu, Mingwang Fang, Hao Zhou, Yixiao Lian, Chen Xie, Nan Sun, Chongjian Wang

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

9 authors.

Changqing SunDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Fei XuDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Xiaotian LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Mingwang FangDepartment of Health Education, West China School of Public Health, Sichuan University, Chengdu, Sichuan, PR China.
Hao ZhouDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Yixiao LianDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Chen XieDepartment of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Nan SunDepartment of Management Information Systems, Terry College of Business, University of Georgia, Athens, Georgia, United State.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to assess application of different cardiovascular disease (CVD) mortality risk prediction models in Chinese rural population. Data was collected from a 6-year follow-up survey in rural area of Henan Province, China. 10338 participants aged 40 to 65 years were included. Baseline study was conducted between 2007 and 2008, and followed up from 2013 to 2014. Seven models: general Framingham risk score (general-FRS), simplified-FRS, Systematic Coronary Risk Evaluation for high (SCORE-high), SCORE-low, Chinese ischemic CVD (CN-ICVD), Pooled Cohort Risk Equation for white (PCE-white) and for African-American (PCE-AA) were assessed and recalibrated. The model performance was evaluated by C-statistics and modified Nam-D'Agostino test. 168 CVD deaths occurred during follow-up. All seven models showed moderate C-statics ranging from 0.727 to 0.744. Following recalibration, general-FRS, simplified-FRS, CN-ICVD, PCE-white and PCE-AA had improved C-statistics of 0.776, 0.795, 0.793, 0.779, and 0.776 for men and 0.756, 0.753, 0.755, 0.758 and 0.760 for women, respectively. Calibrations χ

Indexed as

Models, StatisticalAdultAsian PeopleCardiovascular DiseasesChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk AssessmentRural PopulationSurvival Analysis

Identifiers

PMID28337999
PMCPMC5364500

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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.