Evidence map›Paper›PMID 27775246›Full record

ReviewJournal of Korean medical science2016

Quantifying Burden of Disease to Measure Population Health in Korea.

Jihyun Yoon, Seok Jun Yoon

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Health and Mortality in Korean Healthcare Workers.Journal of Korean medical science · 2022
    Article
  8. Article
  9. Article
  10. Measuring the Burden of Disease in Korea, 2008-2018.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021
    Article
  11. Article
  12. Estimating Disability-Adjusted Life Years due to Tuberculosis in Korea through to the Year 2040.International journal of environmental research and public health · 2020
    Article
  13. Subnational Burden of Disease According to the Sociodemographic Index in South Korea.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Jihyun YoonDepartment of Public Health, Korea University Graduate School, Seoul, Korea.ORCID http://orcid.org/0000-0001-7758-4794
Seok Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea. yoonsj02@korea.ac.kr.ORCID http://orcid.org/0000-0003-3297-0071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative assessments of the health status of a population are essential to make decisions and set priorities in the field of public health. Changing epidemiologic patterns increase the demand for comprehensive estimates of population health across the full health spectrum, including non-communicable diseases and injuries. Burden of disease (BoD) analysis has helped meet this need. With the success of the Global Burden of Disease (GBD) Study, the BoD technique has become predominantly associated with the GBD approach and its methodology using disability-adjusted life year (DALY) has been rapidly disseminated and generally accepted over the last several years. The first Korean BoD study using the DALY metric was presented in 2002. Various BoD studies have since been conducted, but the DALY concept has remained primarily academic and has not yet been actively utilized in the health policy arena. Here, we review the DALY metric and population-based Korean BoD studies using national health data, with the intent of increasing the understanding of their value and their potential role in strengthening future assessments of the Korean population's health status.

Indexed as

Cost of IllnessGlobal Burden of DiseaseHealth StatusHumansPublic HealthQuality-Adjusted Life YearsRepublic of KoreaBurden of DiseaseDisability-Adjusted Life YearKoreaPopulation Health

Identifiers

PMID27775246
PMCPMC5081290

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.