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Socio-economic disparities in long-term cancer survival—10 year follow-up with individual patient data

Overview of attention for article published in Supportive Care in Cancer, December 2016
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Title
Socio-economic disparities in long-term cancer survival—10 year follow-up with individual patient data
Published in
Supportive Care in Cancer, December 2016
DOI 10.1007/s00520-016-3528-0
Pubmed ID
Authors

Susanne Singer, Michael Bartels, Susanne Briest, Jens Einenkel, Dietger Niederwieser, Kirsten Papsdorf, Jens-Uwe Stolzenburg, Sophie Künstler, Sabine Taubenheim, Oliver Krauß

Abstract

Reasons 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. In 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. Patients 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. Patients 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Student > Doctoral Student 6 14%
Student > Master 4 9%
Researcher 4 9%
Lecturer 2 5%
Other 6 14%
Unknown 15 35%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Nursing and Health Professions 5 12%
Social Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 1 2%
Computer Science 1 2%
Other 6 14%
Unknown 16 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2017.
All research outputs
#20,511,186
of 25,205,864 outputs
Outputs from Supportive Care in Cancer
#3,995
of 5,019 outputs
Outputs of similar age
#322,488
of 431,833 outputs
Outputs of similar age from Supportive Care in Cancer
#74
of 82 outputs
Altmetric has tracked 25,205,864 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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