Evidence map›Paper›PMID 41477225›Full record

Observational studyFrontiers in public health2025

Geographical inequalities and temporal trends in pediatric cardiovascular diseases in Indonesia: a 34-year global burden of disease analysis.

Muhammad Iqhrammullah, Derren D C H Rampengan, Ikhwan Amri, Roy Novri Ramadhan, Muhammad Haneef Ghifari, Firyal Khansa, Novi Kurnia Rizki, Starry H Rampengan, Radityo Prakoso, Muhammad Habiburrahman

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Muhammad IqhrammullahPostgraduate Program of Public Health, Universitas Muhammadiyah Aceh, Banda Aceh, Indonesia.
Derren D C H RampenganFaculty of Medicine, Universitas Sam Ratulangi, Manado, Indonesia.
Ikhwan AmriDepartment of Geography Education, Faculty of Teacher Training and Education, Universitas Samudra, Langsa, Indonesia.
Roy Novri RamadhanFaculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Muhammad Haneef GhifariMedical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Firyal KhansaMedical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Novi Kurnia RizkiDepartment of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Starry H RampenganDivision of Interventional Cardiology, Department of Cardiology and Vascular Medicine, R.D. Kandou Central General Hospital, Universitas Sam Ratulangi, Manado, Indonesia.
Radityo PrakosoDivision of Pediatric Cardiology and Congenital Heart Disease, Department of Cardiology and Vascular Medicine, National Cardiovascular Center Harapan Kita, Universitas Indonesia, Jakarta, Indonesia.
Muhammad HabiburrahmanFaculty of Medicine, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pediatric cardiovascular diseases (CVDs), including congenital heart anomalies (CHAs), rheumatic heart disease (RHD), and related conditions, remain a significant health challenge in Indonesia, especially given the country's diverse geography and disparities in healthcare access. We aim to analyze national and provincial trends in the burden of pediatric CVDs in Indonesia from 1990 to 2023 using Global Burden of Disease (GBD) data. Methods: We conducted a retrospective observational analysis using the GBD 2023 dataset, focusing on the prevalence, mortality, and disability-adjusted life years (DALYs) of pediatric cardiovascular diseases across age groups. Trends were assessed by sex and province. The Estimated Annual Percentage Change (EAPC) was calculated for each CVD subcategory and age group by fitting a log-linear regression model to the natural logarithm of annual rates. To evaluate nonlinear temporal patterns, generalized additive models (GAMs) were applied with penalized smoothing splines for year. Poisson or negative binomial regression models were used to model mortality counts, with the latter selected when overdispersion exceeded 1.5. Results: From 1990 to 2023, Indonesia showed an overall decline in DALY rates for CHAs, decreasing from 120,809.85 to 68,324.17 per 100,000, and for non-congenital CVDs, from 42,118.56 to 29,842.73 per 100,000. The most notable improvements occurred among infants and toddlers, whereas adolescents showed stagnant or rising burdens, particularly for ischemic heart disease (IHD), hypertensive heart disease (HHD), and aortic aneurysm. CHAs remained the leading contributor, with neonatal prevalence and mortality in 2023 reaching 1511.53 and 1341.68 per 100,000, respectively. Despite the overall national decline, positive EAPC values ( Conclusion: CHAs remain the leading cause of pediatric CVD in Indonesia, especially among neonates, while adolescents face rising adult-type cardiovascular conditions. National improvements are uneven, with eastern provinces experiencing higher burdens due to limited access to care. These inequalities highlight the need for targeted prevention, early detection, and strengthened long-term management to ensure equitable and sustainable child cardiovascular health.

Indexed as

Cardiovascular DiseasesGlobal Burden of DiseaseHealth Status DisparitiesAdolescentChildChild, PreschoolDisability-Adjusted Life YearsFemaleHumansIndonesiaInfantInfant, NewbornMalePrevalenceRetrospective Studiescardiovascular diseaseDALYepidemiological trendsglobal burden of diseasehealth disparity

Identifiers

PMID41477225
PMCPMC12748149

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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.