Evidence map›Paper›PMID 38597133›Full record

ArticleCancer medicine2024

What is the relationship between the local population change and cancer incidence in patients with dyslipidemia: Evidence of the impact of local extinction in Korea.

Wonjeong Jeong, Dong-Woo Choi, Woorim Kim, Kyu-Tae Han

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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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 at 1 institution in 2 countries.

Wonjeong JeongCancer Knowledge & Information Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-7334-0140
Dong-Woo ChoiCancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.
Woorim KimDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.
Kyu-Tae HanDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-5817-1203
National Cancer Center · US

Funding

National Cancer Center 2210801-3
6 · The paper itself

Abstract

backgroundChanges in the local population are intricately linked to healthcare infrastructure, which subsequently impacts the healthcare sector. A decreasing local population can result in lagging health infrastructure, potentially leading to adverse health outcomes as patients may be at risk of not receiving optimal care and treatment. While some studies have explored the relationship between chronic diseases and local population decline, evidence regarding cancer is insufficient. In this study, we focused on how deteriorating management of chronic diseases such as dyslipidemia could influence the risk of cancer. We investigated the relationship between changes in the local population and cancer incidence among patients with dyslipidemia.

methodsThis cohort study was conducted using claims data. Data from adult patients with dyslipidemia from the National Health Insurance Service-National Sample Cohort conducted between 2002 and 2015 were included. Population changes in each region were obtained from the Korean Statistical Information Service and were used to link each individual's regional code. Cancer risk was the dependent variable, and Cox proportional hazards regression was used to estimate the target associations.

resultsData from 336,883 patients with dyslipidemia were analyzed. Individuals who resided in areas with a decreasing population had a higher risk of cancer than those living in areas with an increasing population (decrease: hazard ratio (HR) = 1.06, 95% CI = 1.03-1.10; normal: HR = 1.05, 95% CI = 1.02-1.09). Participants living in regions with a low number of hospitals had a higher risk of cancer than those in regions with a higher number of hospitals (HR = 1.20, 95% CI = 1.12-1.29).

conclusionPatients in regions where the population has declined are at a higher risk of cancer, highlighting the importance of managing medical problems caused by regional extinction. This could provide evidence for and useful insights into official policies on population decline and cancer risk.

Indexed as

DyslipidemiasNeoplasmsAdultAnimalsChronic DiseaseCohort StudiesHumansIncidenceRepublic of Koreacancer incidencemedical accessibilitypopulation decreaseregional disparity

Identifiers

PMID38597133
PMCPMC11004912
OpenAlexW4394690796

What OpenQuestion holds

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LicenceCC BY
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.