Evidence map›Paper›PMID 28877916›Full record

ArticleCMAJ open2017

Temporal trends in the association between socioeconomic status and cancer survival in Ontario: a population-based retrospective study.

Andrew Dabbikeh, Yingwei Peng, William J Mackillop, Christopher M Booth, Jina Zhang-Salomons

Abstract read
In one paragraph

Article in CMAJ open, 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.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Projected estimates of cancer in Canada in 2022.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
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4 · The record

Corrections and comments

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

5 authors.

Andrew DabbikehAffiliations: Departments of Public Health Sciences (Dabbikeh, Peng, Mackillop, Zhang-Salomons) and Oncology (Mackillop, Booth, Zhang-Salomons); Division of Cancer Care and Epidemiology (Peng, Mackillop, Booth, Zhang-Salomons), Cancer Research Institute, Queen's University, Kingston, Ont.
Yingwei PengAffiliations: Departments of Public Health Sciences (Dabbikeh, Peng, Mackillop, Zhang-Salomons) and Oncology (Mackillop, Booth, Zhang-Salomons); Division of Cancer Care and Epidemiology (Peng, Mackillop, Booth, Zhang-Salomons), Cancer Research Institute, Queen's University, Kingston, Ont.
William J MackillopAffiliations: Departments of Public Health Sciences (Dabbikeh, Peng, Mackillop, Zhang-Salomons) and Oncology (Mackillop, Booth, Zhang-Salomons); Division of Cancer Care and Epidemiology (Peng, Mackillop, Booth, Zhang-Salomons), Cancer Research Institute, Queen's University, Kingston, Ont.
Christopher M BoothAffiliations: Departments of Public Health Sciences (Dabbikeh, Peng, Mackillop, Zhang-Salomons) and Oncology (Mackillop, Booth, Zhang-Salomons); Division of Cancer Care and Epidemiology (Peng, Mackillop, Booth, Zhang-Salomons), Cancer Research Institute, Queen's University, Kingston, Ont.
Jina Zhang-SalomonsAffiliations: Departments of Public Health Sciences (Dabbikeh, Peng, Mackillop, Zhang-Salomons) and Oncology (Mackillop, Booth, Zhang-Salomons); Division of Cancer Care and Epidemiology (Peng, Mackillop, Booth, Zhang-Salomons), Cancer Research Institute, Queen's University, Kingston, Ont.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer survival is known to be associated with socioeconomic status. The income gap between the richer and poorer segments of the population has widened over the last 20 years in Canada. The purpose of this study was to investigate temporal trends in disparities in cancer-specific survival related to socioeconomic status in Ontario.

methodsThere were 920 334 cancer cases between 1993 and 2009 in the Ontario Cancer Registry. We linked median household income from the Canadian census to the registry. We calculated 5-year cancer-specific survival rates for all cancers combined and for specific cancer sites by socioeconomic status quintile and year of diagnosis, and modelled time to death using Cox regression.

resultsBetween 1993 and 2009, for all cancers combined, the hazard of death decreased by 3.1% (hazard ratio [HR] 0.969 [95% confidence interval (CI) 0.967-0.971]) per year in the richest quintile and by 1.2% (HR 0.988 [95% CI 0.987-0.990]) per year in the poorest quintile. The corresponding values for breast cancer were 4.3% (HR 0.957 [95% CI 0.951-0.964]) and 2.0% (HR 0.980 [95% CI 0.975-0.986]); for lung cancer, 1.4% (HR 0.986 [95% CI 0.982-0.990]) and 0.3% (HR 0.997 [95% CI 0.995-1.000]); for colorectal cancer, 3.7% (HR 0.963 [95% CI 0.958-0.968]) and 1.8% (HR 0.982 [95% CI 0.978-0.985]); and for head and neck cancer, 3.1% (HR 0.969 [95% CI 0.958-0.979]) and 1.0% (HR 0.990 [95% CI 0.983-0.996]).

interpretationBetween 1993 and 2009, cancer-specific survival in Ontario improved more among patients from affluent communities than among those from poorer communities. This phenomenon cannot be explained by increased disparity in income.

Identifiers

PMID28877916
PMCPMC5621958

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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.