Evidence map›Paper›PMID 38324147›Full record

Observational studyJournal of epidemiology and global health2024

The 30 Years of Shifting in The Indonesian Cardiovascular Burden-Analysis of The Global Burden of Disease Study.

Farizal Rizky Muharram, Chaq El Chaq Zamzam Multazam, Ali Mustofa, Wigaviola Socha, Andrianto, Santi Martini, Leopold Aminde, Chung Yi-Li

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in Journal of epidemiology and global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Syndemic analysis of stroke in Indonesia.The Lancet regional health. Western Pacific · 2026
    Article
  4. Article
  5. Retinal Microvascular Calibres and Body Fat Indices in Young Adults.International journal of environmental research and public health · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Nursing care challenges and overcoming strategies among stroke patients.Journal of education and health promotion · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Farizal Rizky MuharramGlobal Health and Social Medicine Department, Harvard Medical School, Boston, MA, USA.
Chaq El Chaq Zamzam MultazamCardiology and Respiratory Department, Imperial College London, London, UK.
Ali MustofaDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Airlangga University, Soetomo General Hospital, Surabaya, Indonesia.
Wigaviola SochaCardiology and Respiratory Department, Imperial College London, London, UK.
AndriantoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Airlangga University, Soetomo General Hospital, Surabaya, Indonesia.
Santi MartiniFaculty of Public Health, Airlangga University, Surabaya, Indonesia. santi-m@fkm.unair.ac.id.
Leopold AmindePopulation Health and Research Methods Department, School of Medicine and Dentistry, Griffith University, Brisbane, QLD, Australia.
Chung Yi-LiInstitute of Public Health, National Cheng Kung University, Tainan City, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceCardiovascular disease (CVD) remains the leading cause of mortality and morbidity. Compared with disease burden rates in 1990, significant reductions in Disability-Adjusted Life Years (DALYs) burden rates for CVD have been recorded. However, general DALYs rates have not changed in Indonesia in the past 30 years. Thus, assessing Indonesian CVD burdens will be an essential first step in determining primary disease interventions.

objectiveTo determine the national and province-level burden of CVD from 1990 to 2019 in Indonesia. DESIGN, SETTING, AND

participantsA retrospective observational study was conducted using data from the Global Burden of Disease (GBD) 2019, provided by the Institute of Health Metrics and Evaluation (IHME), to analyze trends in the burden of CVD, including mortality, morbidity, and prevalence characteristics of 12 underlying CVDs. EXPOSURES: Residence in Indonesia. MAIN OUTCOMES AND MEASURES: Mortality, incidence, prevalence, death, and DALYs of CVD.

resultsCVD deaths have doubled from 278 million in 1990 to 651 million in 2019. All CVDs recorded increased death rates, except for rheumatic heart disease (RHD) (- 69%) and congenital heart disease (CHD) (- 37%). Based on underlying diseases, stroke and ischemic heart disease (IHD) are still the leading causes of mortality and morbidity in Indonesia, whereas stroke and peripheral artery disease (PAD) are the most prevalent CVDs. Indonesia has the second worst CVD DALYs rates compared to ASEAN countries after Laos. At provincial levels, the highest CVD DALY rates were recorded in Bangka Belitung, South Kalimantan, and Yogyakarta. In terms of DALYs rate changes, they were recorded in West Nusa Tenggara (24%), South Kalimantan (18%), and Central Java (11%). Regarding sex, only RHD, and PAD burdens were dominated by females.

conclusionsCVD mortality, morbidity, and prevalence rates increased in Indonesia from 1990 to 2019, especially for stroke and ischemic heart disease. The burden is exceptionally high, even when compared to other Southeast Asian countries and the global downward trend. GBD has many limitations. However, these data could provide policymakers with a broad view of CVD conditions in Indonesia.

Indexed as

Cardiovascular DiseasesGlobal Burden of DiseaseAdultAgedCost of IllnessDisability-Adjusted Life YearsFemaleHumansIncidenceIndonesiaMaleMiddle AgedPrevalenceRetrospective StudiesCardiovascular diseaseDALYGlobal Burden of DiseasePreventable death

Identifiers

PMID38324147
PMCPMC11043320

What OpenQuestion holds

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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.