Evidence map›Paper›PMID 38412612›Full record

ArticleJournal of Korean medical science2024

Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008-2020).

Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. One cancer, two stories: divergent estimates of gastric cancer burden in Korea.Archives of public health = Archives belges de sante publique · 2026
    Article
  7. Measuring Trends in Disability-adjusted Life Years and Life Expectancy in Korea: 2008 to 2021.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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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

4 authors.

Yoon-Sun JungArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-9379-4908
Young-Eun KimDepartment of Big Data Strategy, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-0694-6844
Minsu OckDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.ORCID https://orcid.org/0000-0001-9949-9224
Seok-Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea. yoonsj02@korea.ac.kr.ORCID https://orcid.org/0000-0003-3297-0071

Funding

Ministry of Health and Welfare HA21C0206
6 · The paper itself

Abstract

backgroundThe measurement of health levels and monitoring of characteristics and trends among populations and subgroups are essential for informing evidence-based policy decisions. This study aimed to examine the burden of disease in Korea for both the total population and subgroups in 2020, as well as analyze changes in disease burden from 2008 to 2020.

methodsWe employed the methodology developed in the Korean National Burden of Disease and Injuries Study to calculate disability-adjusted life years (DALYs) by sex, causes, region, and income level from 2008 to 2020. DALYs were derived by combining years of life lost and years lived with disability.

resultsIn 2020, the burden of disease for the Korean population was estimated to be 25,439 DALYs per 100,000 population, reflecting a 13.8% increase since 2008. The leading causes of DALYs were diabetes mellitus, followed by low back pain and ischemic stroke. A sex-specific gap reversal was observed, with the disease burden for men surpassing that of women starting in 2017. Furthermore, variations in disease burden were identified across 250 regions and income quintiles.

conclusionIt is imperative to establish appropriate health policies that prioritize the diseases with significantly increasing burdens and subgroups experiencing high disease burdens. The findings of this study are expected to serve as a foundation for developing healthcare policies aimed at improving the health levels of Koreans and achieving health equity.

Indexed as

Disability-Adjusted Life YearsLife ExpectancyCost of IllnessFemaleGlobal Burden of DiseaseGlobal HealthHealth PolicyHumansMaleQuality-Adjusted Life YearsRepublic of KoreaBurden of DiseaseDisability-Adjusted Life YearsKorean National Burden of Disease StudyYears Lived with DisabilityYears of Life Lost

Identifiers

PMID38412612
PMCPMC10896705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.