Evidence map›Paper›PMID 39099509›Full record

SynthesisInternational journal of health policy and management2024

Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis.

Roghaye Farhadi Hassankiadeh, Annette Dobson, Somayeh Rahimi, Abdollah Jalilian, Volker J Schmid, Behzad Mahaki

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in International journal of health policy and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Roghaye Farhadi HassankiadehDepartment of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0000-0003-3982-3680
Annette DobsonSchool of Public Health, University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-4956-0124
Somayeh RahimiDepartment of Clinical Biochemistry, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0009-0007-9373-6752
Abdollah JalilianDepartment of Statistics, Razi University, Kermanshah, Iran.ORCID 0000-0002-6573-0069
Volker J SchmidDepartment of Statistics, LudwigMaximilians-University, Munich, Germany.ORCID 0000-0003-2195-8130
Behzad MahakiDepartment of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID 0000-0001-7062-6971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country.

methodsA Bayesian hierarchical meta-analysis (PROSPERO 2022: CRD42022331281) was performed to determine the pooled prevalence. A systematic search was conducted using Web of Science, ScienceDirect, PubMed, Iranian Research Institute for Information Science and Technology (IranDoc), Scientific Information Database (SID), and Magiran until October 4, 2023. Cross-sectional and cohort studies in both English and Persian languages, focusing on the age range of 0-10 years, were considered for the study population. The study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) Risk of Bias tool. Heterogeneity was assessed by I

resultsThe meta-analysis included 62 studies, revealing an overall CHD prevalence of 2.5 per 1000 births. Over time, CHD birth prevalence in Iran has consistently increased. Spatial distribution analysis, including spatial autocorrelation and local spatial autocorrelation, indicated no spatial clustering (

conclusionThe overall CHD prevalence in Iran is lower than global rates, but it continues to rise. Furthermore, there are variations in birth prevalence among different regions of Iran. Environmental, genetic, socioeconomic, and diagnostic accessibility differences are possibly involved in regional variation. The limitations like heterogeneity among studies, the potential inaccuracy of reports due to limited use of accurate diagnostic methods in some studies, and the absence of population-based models to investigate prevalence, underscore the urgent need for standardized diagnostic approaches, and the utilization of population-wide birth defect registries to accurately assess CHD prevalence in Iran.

Indexed as

Heart Defects, CongenitalSpatial AnalysisBayes TheoremHumansInfant, NewbornIranPrevalenceBirth PrevalenceCongenital Heart DiseaseHierarchical Bayesian Meta-analysisIranSpatial DistributionSystematic Review

Identifiers

PMID39099509
PMCPMC11270618

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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.