Evidence map›Paper›PMID 41316221›Full record

ArticleBMC public health2025

Loss in life expectancy after a colon cancer diagnosis by socioeconomic group: does the indicator of socioeconomic position matter?

Elisavet Syriopoulou, Alexander Miething, Erik Osterman, Caroline Nordenvall, Therese M-L Andersson

Abstract read
In one paragraph

Article in BMC public 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

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Elisavet SyriopoulouDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, Stockholm, SE-17177, Sweden. elisavet.syriopoulou@ki.se.ORCID http://orcid.org/0000-0002-5749-4094
Alexander MiethingDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Erik OstermanDepartment of Surgery, Gävle Hospital, Gävle, Sweden.
Caroline NordenvallDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Therese M-L AnderssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, Stockholm, SE-17177, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoss in life expectancy (LLE) by socioeconomic position (SEP) is obtained to explore cancer disparities. Often education or income are used to determine SEP. However, the low income of some older individuals or females within households with greater overall resources may not accurately reflect their SEP, potentially leading to biased estimates. Our study investigates how various conceptualizations of SEP influence the extent of these disparities.

methodsData included all colon cancer diagnoses in Sweden between 2008 and 2016. We estimated LLE using different SEP indicators: education, individual income, part of household income. Household income accounts for individuals with low individual income but within high-income households. We allocated patients to income groups creating quartiles, overall or separately by sex, age-groups, or both, to account for SEP misclassification. We analysed data using flexible parametric survival models.

resultsStandardised LLE varied from 5.05 to 5.62 years for the lowest to the highest education, resulting in a 0.57-year difference. When income was used to determine SEP, LLE was similar with disparities ranging from 0.29 to 0.77 across definitions. Age and sex specific LLE disparities varied more across definitions. Disparities between 60-year-old females in the highest-lowest income groups were 0.94 when using household income and − 0.17 when using individual income.

conclusionsWhen studying LLE by SEP, thoughtful consideration must be given to selecting the most suitable indicator for conceptualizing SEP. The choice should align with the specific SEP pathway of interest and address potential misclassification concerns relevant to the study population.

Indexed as

Colonic NeoplasmsLife ExpectancySocial ClassAgedAged, 80 and overFemaleHumansIncomeMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsSwedenCancer disparitiesCancer survivalColon cancerLoss in life expectancySocioeconomic position

Identifiers

PMID41316221
PMCPMC12723879

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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.