4.7 Article

Persistent inequalities in 90-day colon cancer mortality: an English cohort study

Journal

BRITISH JOURNAL OF CANCER
Volume 117, Issue 9, Pages 1396-1404

Publisher

SPRINGERNATURE
DOI: 10.1038/bjc.2017.295

Keywords

short-term mortality; inequalities; colon cancer; socio-economic status; stage at diagnosis; comorbidity

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Funding

  1. Cancer Research UK [C7923/A18525]
  2. Cancer Research UK [11700, 18525] Funding Source: researchfish

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Background: Variation in colon cancer mortality occurring shortly after diagnosis is widely reported between socio-economic status (SES) groups: we investigated the role of different prognostic factors in explaining variation in 90-day mortality. Methods: National cancer registry data were linked with national clinical audit data and Hospital Episode Statistics records for 69 769 adults diagnosed with colon cancer in England between January 2010 and March 2013. By gender, logistic regression was used to estimate the effects of SES, age and stage at diagnosis, comorbidity and surgical treatment on probability of death within 90 days from diagnosis. Multiple imputations accounted for missing stage. We predicted conditional probabilities by prognostic factor patterns and estimated the effect of SES (deprivation) from the difference between deprivation-specific average predicted probabilities. Results: Ninety-day probability of death rose with increasing deprivation, even after accounting for the main prognostic factors. When setting the deprivation level to the least deprived group for all patients and keeping all other prognostic factors as observed, the differences between deprivation-specific averaged predicted probabilities of death were greatly reduced but persisted. Additional analysis suggested stage and treatment as potential contributors towards some of these inequalities. Conclusions: Further examination of delayed diagnosis, access to treatment and post-operative care by deprivation group may provide additional insights into understanding deprivation disparities in mortality.

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