Evidence map›Paper›PMID 41035219›Full record

ArticleEpidemiology and health2025

The delayed cancer treatment and economic inequality in Korea: results of common cancers by the time-to-surgery.

Noorhee Son, Woo-Ri Lee, Dong-Woo Choi, Kyu-Tae Han

Abstract read
In one paragraph

Article in Epidemiology and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Noorhee SonHIRA Research Institute, Health Insurance Review & Assessment Service (HIRA), Wonju, Korea.
Woo-Ri LeeDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Dong-Woo ChoiCancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Kyu-Tae HanDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGrowing concerns regarding the concentration of cancer treatment in the capital city in Korea have raised questions about equitable access to timely and optimal patient care. In this study, we evaluated the impact of time-to-surgery (TTS) on healthcare utilization and outcomes, with the goal of providing policy recommendations for effective quality assessment of cancer care.

methodsThis retrospective cohort study analyzed data from 2011 to 2021 obtained from National Health Insurance Service claims. A generalized estimating equation and a Cox proportional hazards model were applied to assess the effects of TTS on length of stay (LOS), medical costs, and 5-year mortality among patients diagnosed with lung, liver, and colorectal cancers. Subgroup analyses were conducted based on patients' baseline economic status.

resultsAmong patients who underwent surgical treatment for lung, liver, or colorectal cancer, 20.4%, 11.4%, and 11.4% experienced treatment delays, respectively. Regardless of cancer type, longer TTS was associated with prolonged LOS and higher medical costs. Moreover, patients with extended TTS demonstrated an increased risk of 5-year mortality. Disparities by income level were evident, with greater differences observed in the lower-income group.

conclusionsThis study highlights the importance of timely surgical treatment for patients with cancer, particularly in relation to income-based disparities. These findings emphasize the need to improve Korea's concentrated cancer care delivery system to enhance healthcare efficiency and address health literacy gaps affecting treatment by income level.

Indexed as

Healthcare DisparitiesNeoplasmsTime-to-TreatmentAdultAgedColorectal NeoplasmsFemaleHealth Care CostsHumansLength of StayMaleMiddle AgedRepublic of KoreaRetrospective StudiesSocioeconomic FactorsDelivery of health careHealthcare disparitiesHealth services accessibilityMortalityNeoplasms

Identifiers

PMID41035219
PMCPMC12869139

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LicenceCC BY
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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.