Evidence map›Paper›PMID 31150075›Full record

ArticleJAMA network open2019

Association of Trajectory of Cardiovascular Health Score and Incident Cardiovascular Disease.

Shouling Wu, Shasha An, Weijuan Li, Alice H Lichtenstein, Jingsheng Gao, Penny M Kris-Etherton, Yuntao Wu, Cheng Jin, Shue Huang, Frank B Hu and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 2 pooled it
–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

150 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Ten-year trajectory of Life's Essential 8 and aortic valve calcification.American journal of preventive cardiology · 2026
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90 more citing papers are in PubMed but not listed here.

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

11 authors.

Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China.
Shasha AnDepartment of Emergency, HanDan Central Hospital, HanDan, People's Republic of China.
Weijuan LiVanderbilt University Medical Center/Vanderbilt Heart and Vascular Institute, Nashville, Tennessee.
Alice H LichtensteinCardiovascular Nutrition Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts.
Jingsheng GaoDepartment of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China.
Penny M Kris-EthertonDepartment of Nutritional Sciences, Pennsylvania State University, State College.
Yuntao WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China.
Cheng JinDepartment of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China.
Shue HuangDepartment of Nutritional Sciences, Pennsylvania State University, State College.
Frank B HuDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Xiang GaoDepartment of Nutritional Sciences, Pennsylvania State University, State College.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The American Heart Association 2020 Strategic Impact Goals target an improvement in overall cardiovascular health, as assessed by 7 health metrics (smoking, body weight, physical activity, diet, plasma glucose level, plasma cholesterol level, and blood pressure). Objective: To examine whether trajectories of overall cardiovascular health over time, as assessed by the cardiovascular health score (CHS) in 2006, 2008, and 2010, are associated with subsequent risk of CVD. Design, Setting, and Participants: The Kailuan study is a prospective, population-based study that began in 2006. The cohort included 74 701 Chinese adults free of myocardial infarction, stroke, and cancer in or before 2010. In the present study, CHS trajectories were developed from 2006 to 2010 to predict CVD risk from 2010 to 2015. Data analysis was performed from January 1, 2006, to December 31, 2015. Exposures: The CHS trajectories during 2006-2010 were identified using latent mixture models. Main Outcomes and Measures: Incident CVD events (myocardial infarction and stroke) during 2010-2015 were confirmed by review of medical records. The CHS trajectories were determined using 7 cardiovascular health metrics scored as poor (0 points), intermediate (1 point), and ideal (2 points); total score ranges from 0 (worst) to 14 (best). Based on the baseline CHS and patterns over time, 5 trajectories were categorized (low-stable, moderate-increasing, moderate-decreasing, high-stable I, and high-stable II). Results: Of the 74 701 adults included in the study (mean [SD] age at baseline, 49.6 [11.8] years), 58 216 (77.9%) were men and 16 485 (22.1%) were women. Five CHS trajectories were identified from 2006 to 2010: low-stable (n = 4393; range, 4.6-5.2), moderate-increasing (n = 4643; mean increase from 5.4 to 7.8), moderate-decreasing (n = 14 853; mean decrease from 7.4 to 6.3), high-stable I (n = 36 352; range, 8.8-9.0), and high-stable II (n = 14 461; range, 10.9-11.0). During 5 years of follow-up, 1852 incident CVD cases were identified. Relative to the low-stable trajectory, the high-stable II trajectory was associated with a lower subsequent risk of CVD (adjusted hazard ratio, 0.21; 95% CI, 0.16-0.26, after adjusting for age, sex, educational level, income, occupation, alcohol intake, and serum high-sensitivity C-reactive protein concentration at baseline). Conclusions and Relevance: Cardiovascular health trajectories may be associated with subsequent CVD risk.

Indexed as

Asian PeopleHealth StatusAdultBiological MonitoringCardiovascular DiseasesChinaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factors

Identifiers

PMID31150075
PMCPMC6547110

What OpenQuestion holds

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Registered trials

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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.