ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2017
Socio-economic disparities in long-term cancer survival-10 year follow-up with individual patient data.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors Explaining Socio-Economic Inequalities in Cancer Survival: A Systematic Review.Cancer control : journal of the Moffitt Cancer CenterPooled it
- Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis.International journal of colorectal disease · 2021Trial
- Social inequalities in cancer in Germany: a call to action.Journal of cancer research and clinical oncology · 2026Review
- Identifying intersectional groups at risk for missing breast cancer screening: Comparing regression- and decision tree-based approaches.SSM - population health · 2025Article
- Article
- Frequency and clinical associations of common mental disorders in adults with high-grade glioma-A multicenter study.Cancer · 2025Article
- Patient- and Areal-Level Risk Factors Associated With Lung Cancer Mortality in Victoria, Australia: A Bayesian Spatial Survival Analysis.Cancer medicine · 2024Article
- The association of low socioeconomic status with advanced stage thyroid cancer.Journal of Taibah University Medical Sciences · 2021Article
- Persistent Disparity: Socioeconomic Deprivation and Cancer Outcomes in Patients Treated in Clinical Trials.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021Observational
- Prediction of 11-year incidence of psychophysically dependent status or death among community-dwelling younger elderlies: from an age-specified community-based cohort study (the NISSIN project).Environmental health and preventive medicine · 2021Article
- Mono-institutional retrospective cohort analysis of the insurance status dependent access to ENT-professionals and survival in head and neck squamous cell carcinoma.BMC health services research · 2021Article
- Association of Race, Socioeconomic Factors, and Treatment Characteristics With Overall Survival in Patients With Limited-Stage Small Cell Lung Cancer.JAMA network open · 2021Article
- Article
- Area-Based Socioeconomic Inequalities in Colorectal Cancer Survival in Germany: Investigation Based on Population-Based Clinical Cancer Registration.Frontiers in oncology · 2020Article
- A matched-pair analysis on survival and response rates between German and non-German cancer patients treated at a Comprehensive Cancer Center.BMC cancer · 2019Article
- Socioeconomic status and quality of life in patients with locally advanced head and neck cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018Article
- Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data.Clinical epidemiology · 2018Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeReasons for the social gradient in cancer survival are not fully understood yet. Previous studies were often only able to determine the socio-economic status of the patients from the area they live in, not from their individual socio-economic characteristics.
methodsIn a multi-centre cohort study with 1633 cancer patients and 10-year follow-up, individual socio-economic position was measured using the indicators: education, job grade, job type, and equivalence income. The effect on survival was measured for each indicator individually, adjusting for age, gender, and medical characteristics. The mediating effect of health behaviour (alcohol and tobacco consumption) was analysed in separate models.
resultsPatients without vocational training were at increased risk of dying (rate ratio (RR) 1.5, 95% confidence interval (CI) 1.1-2.2) compared to patients with the highest vocational training; patients with blue collar jobs were at increased risk (RR 1.2; 95% CI 1.0-1.5) compared to patients with white collar jobs; income had a gradual effect (RR for the lowest income compared to highest was 2.7, 95% CI 1.9-3.8). Adding health behaviour to the models did not change the effect estimates considerably. There was no evidence for an effect of school education and job grade on cancer survival.
conclusionsPatients with higher income, better vocational training, and white collar jobs survived longer, regardless of disease stage at baseline and of tobacco and alcohol consumption.
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