Evidence map›Paper›PMID 39041282›Full record

ArticleJMIR public health and surveillance2024

Socioeconomic Disparities in Six Common Cancer Survival Rates in South Korea: Population-Wide Retrospective Cohort Study.

JinWook Lee, JuWon Park, Nayeon Kim, Fatima Nari, Seowoo Bae, Hyeon Ji Lee, Mingyu Lee, Jae Kwan Jun, Kui Son Choi, Mina Suh

Abstract read
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Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

JinWook LeeNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0009-0009-3984-6218
JuWon ParkNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0009-0005-0611-2438
Nayeon KimNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0009-0001-5165-4050
Fatima NariNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-3031-3388
Seowoo BaeNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-8123-388X
Hyeon Ji LeeNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-7874-593X
Mingyu LeeNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-0324-6474
Jae Kwan JunNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0003-1647-0675
Kui Son ChoiNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0001-5336-3874
Mina SuhNational Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0001-8101-7493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In South Korea, the cancer incidence rate has increased by 56.5% from 2001 to 2021. Nevertheless, the 5-year cancer survival rate from 2017 to 2021 increased by 17.9% compared with that from 2001 to 2005. Cancer survival rates tend to decline with lower socioeconomic status, and variations exist in the survival rates among different cancer types. Analyzing socioeconomic patterns in the survival of patients with cancer can help identify high-risk groups and ensure that they benefit from interventions. Objective: The aim of this study was to analyze differences in survival rates among patients diagnosed with six types of cancer-stomach, colorectal, liver, breast, cervical, and lung cancers-based on socioeconomic status using Korean nationwide data. Methods: This study used the Korea Central Cancer Registry database linked to the National Health Information Database to follow up with patients diagnosed with cancer between 2014 and 2018 until December 31, 2021. Kaplan-Meier curves stratified by income status were generated, and log-rank tests were conducted for each cancer type to assess statistical significance. Hazard ratios with 95% CIs for any cause of overall survival were calculated using Cox proportional hazards regression models with the time since diagnosis. Results: The survival rates for the six different types of cancer were as follows: stomach cancer, 69.6% (96,404/138,462); colorectal cancer, 66.6% (83,406/125,156); liver cancer, 33.7% (23,860/70,712); lung cancer, 30.4% (33,203/109,116); breast cancer, 91.5% (90,730/99,159); and cervical cancer, 78% (12,930/16,580). When comparing the medical aid group to the highest income group, the hazard ratios were 1.72 (95% CI 1.66-1.79) for stomach cancer, 1.60 (95% CI 1.54-1.56) for colorectal cancer, 1.51 (95% CI 1.45-1.56) for liver cancer, 1.56 (95% CI 1.51-1.59) for lung cancer, 2.19 (95% CI 2.01-2.38) for breast cancer, and 1.65 (95% CI 1.46-1.87) for cervical cancer. A higher deprivation index and advanced diagnostic stage were associated with an increased risk of mortality. Conclusions: Socioeconomic status significantly mediates disparities in cancer survival in several cancer types. This effect is particularly pronounced in less fatal cancers such as breast cancer. Therefore, considering the type of cancer and socioeconomic factors, social and medical interventions such as early cancer detection and appropriate treatment are necessary for vulnerable populations.

Indexed as

NeoplasmsAdultAgedCohort StudiesFemaleHealth Status DisparitiesHumansMaleMiddle AgedRegistriesRepublic of KoreaRetrospective StudiesSocial ClassSocioeconomic Disparities in HealthSocioeconomic FactorsSurvival Ratecancercancer survivaldeprivation indexincome levelinequalitynationwide analysispublic healthsocioeconomic statusSouth Korea

Identifiers

PMID39041282
PMCPMC11284611

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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.