Evidence map›Paper›PMID 38965927›Full record

SynthesisJournal of preventive medicine and public health = Yebang Uihakhoe chi2024

Smoking-attributable Mortality in Korea, 2020: A Meta-analysis of 4 Databases.

Eunsil Cheon, Yeun Soo Yang, Suyoung Jo, Jieun Hwang, Keum Ji Jung, Sunmi Lee, Seong Yong Park, Kyoungin Na, Soyeon Kim, Sun Ha Jee and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. The economic cost of direct smoking in South Korea.Preventive medicine reports · 2024
    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

11 authors.

Eunsil CheonDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Yeun Soo YangDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.
Suyoung JoInstitute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Jieun HwangDepartment of Health Administration, College of Health Science, Dankook University, Cheonan, Korea.
Keum Ji JungDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.
Sunmi LeeHealth Insurance Research Institute, National Health Insurance Service, Wonju, Korea.
Seong Yong ParkDepartment of Big Data Management, National Health Insurance Service, Wonju, Korea.
Kyoungin NaDivision of Climate Change and Health Hazard, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Soyeon KimDivision of Climate Change and Health Hazard, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Sun Ha JeeDepartment of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea.
Sung-Il ChoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.

Funding

Korea Disease Control and Prevention Agency 2022-12-104
6 · The paper itself

Abstract

objectivesEstimating the number of deaths caused by smoking is crucial for developing and evaluating tobacco control and smoking cessation policies. This study aimed to determine smoking-attributable mortality (SAM) in Korea in 2020.

methodsFour large-scale cohorts from Korea were analyzed. A Cox proportional-hazards model was used to determine the hazard ratios (HRs) of smoking-related death. By conducting a meta-analysis of these HRs, the pooled HRs of smoking-related death for 41 diseases were estimated. Population-attributable fractions (PAFs) were calculated based on the smoking prevalence for 1995 in conjunction with the pooled HRs. Subsequently, SAM was derived using the PAF and the number of deaths recorded for each disease in 2020.

resultsThe pooled HR for all-cause mortality attributable to smoking was 1.73 for current men smokers (95% confidence interval [CI], 1.53 to 1.95) and 1.63 for current women smokers (95% CI, 1.37 to 1.94). Smoking accounted for 33.2% of all-cause deaths in men and 4.6% in women. Additionally, it was a factor in 71.8% of men lung cancer deaths and 11.9% of women lung cancer deaths. In 2020, smoking was responsible for 53 930 men deaths and 6283 women deaths, totaling 60 213 deaths.

conclusionsCigarette smoking was responsible for a significant number of deaths in Korea in 2020. Monitoring the impact and societal burden of smoking is essential for effective tobacco control and harm prevention policies.

Indexed as

SmokingAdultCause of DeathDatabases, FactualFemaleHumansLung NeoplasmsMaleMiddle AgedPrevalenceProportional Hazards ModelsRepublic of KoreaCause of deathCohort studyMeta-analysisMortalitySmoking

Identifiers

PMID38965927
PMCPMC11309830

What OpenQuestion holds

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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.