Evidence map›Paper›PMID 31070503›Full record

SynthesisJournal of the American Heart Association2019

Congenital Heart Disease and Risk of Cardiovascular Disease: A Meta-Analysis of Cohort Studies.

Tingting Wang, Lizhang Chen, Tubao Yang, Peng Huang, Lesan Wang, Lijuan Zhao, Senmao Zhang, Ziwei Ye, Letao Chen, Zan Zheng and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 7 pooled it
11.8field-weighted citation impact, top 1% 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.

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

100 citing papers in PubMed, 7 syntheses or guidelines pooled it, 171 citations in OpenAlex.

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  11. Postnatal Development Shapes the Cardiac Response to Milrinone.bioRxiv : the preprint server for biology · 2026
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40 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 at 2 institutions in 1 country.

Tingting Wang1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Lizhang Chen1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Tubao Yang1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Peng Huang2 Department of Cardio-Thoracic Surgery Hunan Children's Hospital Changsha China.
Lesan Wang1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Lijuan Zhao1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Senmao Zhang1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Ziwei Ye1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Letao Chen1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Zan Zheng1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Jiabi Qin1 Department of Epidemiology and Health Statistics Xiangya School of Public Health Central South University Changsha China.
Central South University · CNHunan Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Despite remarkable success in the surgical and medical management of congenital heart disease ( CHD ), some survivors still experience cardiovascular complications over the long term. The goal of this study was to evaluate the association between CHD and risk of cardiovascular disease ( CVD ) by conducting a meta-analysis of cohort studies. Methods and Results A systematic literature search of several databases was conducted through April 2018 to identify studies reporting the risk of CVD , stroke, heart failure, and coronary artery heart disease in CHD survivors. The quality of individual studies was assessed using the Newcastle-Ottawa scale. The overall risk estimates were pooled using fixed-effects meta-analysis. Subgroup analyses were performed to explore possible sources of heterogeneity. Nine cohort studies comprising 684 200 participants were included. The overall combined relative risks for people with CHD compared with the controls were 3.12 (95% CI, 3.01-3.24) for CVD , 2.46 (95% CI, 2.30-2.63) for stroke, 5.89 (95% CI, 5.58-6.21) for heart failure, and 1.50 (95% CI, 1.40-1.61) for coronary artery heart disease. Significant heterogeneity was detected across studies regarding these risk estimates. Heterogeneity in the risk estimate of CVD was explained by geographic region, type of study design, sample source, age composition, and controlled confounders. Conclusions This meta-analysis of cohort studies of CHD found an association of increased risk of CVD in later life, although we cannot determine whether this association is confounded by a risk factor profile of CVD among CHD survivors or whether CHD is an independent risk factor.

Indexed as

SurvivorsAge FactorsCardiovascular DiseasesCoronary Artery DiseaseFemaleHeart Defects, CongenitalHeart FailureHumansMalePrognosisRisk AssessmentRisk FactorsStrokeTime Factorscardiovascular diseasecongenital heart diseasecoronary heart diseaseheart failuremeta‐analysisstrokesystematic review

Identifiers

PMID31070503
PMCPMC6585327
OpenAlexW2943890763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.