Evidence map›Paper›PMID 31066516›Full record

ArticleCancer medicine2019

Socioeconomic status and survival outcomes in elderly cancer patients: A national health insurance service-elderly sample cohort study.

Bum-Sup Jang, Ji Hyun Chang

Abstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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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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

14 citing papers in PubMed.

  1. Diversity, Equity, and Inclusion in Multiple Myeloma: A Call to Action.Journal of the advanced practitioner in oncology · 2024
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  13. Occupational Class and Cancer Survival in Korean Men: Follow-Up Study of Nation-Wide Working Population.International journal of environmental research and public health · 2020
    Article
  14. Article
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

2 authors.

Bum-Sup JangDepartment of Radiation Oncology, Seoul National University Bundang Hospital, Seoul, South Korea.ORCID 0000-0002-7064-9855
Ji Hyun ChangDepartment of Radiation Oncology, SMG-SNU Boramae Medical Center, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe hypothesized that lower socioeconomic status (SES) was associated with higher all-cause mortality in patients newly diagnosed with cancer, particularly in the elderly population.

methodsWe collected study patients from the stratified random sample of Korean National Health Insurance Elderly Cohort (2002-2015). The Cox's proportional hazards model was used to investigate the risk factors for mortality. Income level and composite deprivation index (CDI) 2010 were used to define the SES: low, intermediate, and high SES groups. The comorbidities were measured using Charlson Comorbidity Index score. After a wash-out period (2002), the final study population was 108 626 (2003-2015).

resultsIn multivariate analysis, low SES was associated with poor overall survival (OS) (HR = 1.08, 95% CI: 1.05-1.12, P < 0.001) and cancer-specific survival (CSS) (HR = 1.11, 95% CI: 1.06-1.16, P < 0.001) particularly for patients aged 70-79 years. High SES was favorable prognostic factor of OS in patients aged 60-69 years (HR = 0.85, 95% CI: 0.81-0.89, P < 0.001), 70-79 years (HR = 0.90, 95% CI: 0.87-0.93, P < 0.001), and ≥80 years (HR = 0.91, 95% CI: 0.87-0.96, P < 0.001). However, SES was not associated with CSS in advanced age patients (≥80 years). Patients with low SES manifesting colorectal, urinary, liver, gastric, melanoma, and esophageal cancers demonstrated worse OS, compared to patients with intermediate SES. Also, low SES patients with urinary, liver, or colorectal cancers or melanoma demonstrated worse CSS compared to those with intermediate SES.

conclusionLow SES at the time of cancer diagnosis is associated with increased risk of OS and CSS in elderly patients. Depending on cancer sites, different patterns of OS and CSS were observed according to SES. Further elucidation of the causes underlying these phenomena is needed along with appropriate support for elderly cancer patients with low SES.

Indexed as

Social ClassAgedAged, 80 and overAge FactorsCause of DeathComorbidityFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMortalityNeoplasmsPatient Outcome AssessmentProportional Hazards ModelsRisk Factorscancer mortalityelderlyincomeregional deprivationSocioeconomic status

Identifiers

PMID31066516
PMCPMC6601595

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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.