Evidence map›Paper›PMID 30783674›Full record

SynthesisInternational journal of epidemiology2019

Global birth prevalence of congenital heart defects 1970-2017: updated systematic review and meta-analysis of 260 studies.

Yingjuan Liu, Sen Chen, Liesl Zühlke, Graeme C Black, Mun-Kit Choy, Ningxiu Li, Bernard D Keavney

2 registry-linked trialsOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 663 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
663citing papers in PubMed, 12 pooled it
77.1field-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.

NCT05698277 recruitingnot on this mapstarted 2023, after this paper: background citation

Automated Fetal Cardiac Function Parameters in Congenital Heart Disease

TypeobservationalSponsorAnna ErenbourgRan2023 to 2028Enrolled495ConditionsCongenital Heart Defect, Cardiac FunctionArmsAutomated fetal cardiac function evaluation
NCT05852106 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effect of 3D Modeling on Family Quality of Life, Surgical Success and Patient Outcomes in Congenital Heart Diseases: A Randomized Controlled Trial Protocol

TypeinterventionalSponsorYeditepe UniversityRan2023 to 2024Enrolled30ConditionsCongenital Heart DiseaseArmsSurgical Simulation with 3D Heart Model and Parental Education with "Congenital Heart Disease Parent Education Booklet" and tailored 3D Heart Modeling
3 · Its place in the literature

Who cites it

663 citing papers in PubMed, 12 syntheses or guidelines pooled it, 1,337 citations in OpenAlex.

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603 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

7 authors at 4 institutions in 3 countries.

Yingjuan LiuDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Sen ChenDepartment of Social Medicine, West China School of Public Health, Sichuan University, Chengdu, China.
Liesl ZühlkeDepartment of Paediatrics, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Graeme C BlackManchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
Mun-Kit ChoyDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Ningxiu LiDepartment of Social Medicine, West China School of Public Health, Sichuan University, Chengdu, China.
Bernard D KeavneyDivision of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
University of Manchester · GBSichuan University · CNManchester University NHS Foundation Trust · GBRed Cross War Memorial Children's Hospital · ZA

Funding

British Heart Foundation CH/13/2/30154British Heart Foundation RG/15/12/31616Medical Research Council MR/P025463/1Medical Research Council MR/S005242/1
6 · The paper itself

Abstract

backgroundGlobally, access to healthcare and diagnostic technologies are known to substantially impact the reported birth prevalence of congenital heart disease (CHD). Previous studies have shown marked heterogeneity between different regions, with a suggestion that CHD prevalence is rising globally, but the degree to which this reflects differences due to environmental or genetic risk factors, as opposed to improved detection, is uncertain. We performed an updated systematic review to address these issues.

methodsStudies reporting the birth prevalence of CHD between the years 1970-2017 were identified from searches of PubMed, EMBASE, Web of Science and Google Scholar. Data on the prevalence of total CHD and 27 anatomical subtypes of CHD were collected. Data were combined using random-effect models. Subgroup and meta-regression analyses were conducted, focused on geographical regions and levels of national income.

resultsTwo hundred and sixty studies met the inclusion criteria, encompassing 130 758 851 live births. The birth prevalence of CHD from 1970-2017 progressively increased to a maximum in the period 2010-17 of 9.410/1000 [95% CI (confidence interval) 8.602-10.253]. This represented a significant increase over the fifteen prior years (P = 0.031). The change in prevalence of mild CHD lesions (ventricular septal defect, atrial septal defect and patent ductus arteriosus) together explained 93.4% of the increased overall prevalence, consistent with a major role of improved postnatal detection of less severe lesions. In contrast the prevalence of lesions grouped together as left ventricular outflow tract obstruction (which includes hypoplastic left heart syndrome) decreased from 0.689/1000 (95% CI 0.607-0.776) in 1995-99, to 0.475/1000 (95% CI 0.392-0.565; P = 0.004) in 2010-17, which would be consistent with improved prenatal detection and consequent termination of pregnancy when these very severe lesions are discovered. There was marked heterogeneity among geographical regions, with Africa reporting the lowest prevalence [2.315/1000 (95% CI 0.429-5.696)] and Asia the highest [9.342/1000 (95% CI 8.072-10.704)].

conclusionsThe reported prevalence of CHD globally continues to increase, with evidence of severe unmet diagnostic need in Africa. The recent prevalence of CHD in Asia for the first time appears higher than in Europe and America, where disease ascertainment is likely to be near-complete, suggesting higher genetic or environmental susceptibility to CHD among Asian people.

Indexed as

Confidence IntervalsGlobal HealthHeart Defects, CongenitalHumansInfant, NewbornPrevalenceCongenital heart diseasegeographical regionmeta-analysisnational incomeprevalencesystematic review

Identifiers

PMID30783674
PMCPMC6469300
OpenAlexW2918094628

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.