ArticleBritish journal of cancer2017
Persistent inequalities in 90-day colon cancer mortality: an English cohort study.
Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- How equity in cancer services has been defined and measured, and why it matters: a scoping review of Universal Health Coverage systems.Global health action · 2026Article
- Socioeconomic deprivation and postoperative mortality: a retrospective analysis of prospectively collected data.BJA open · 2025Article
- Prediction of 90-day mortality among cancer patients with unplanned hospitalisation: a retrospective validation study of three prognostic scores.The Lancet regional health. Europe · 2025Article
- Insurance Types and All-Cause Mortality in Korean Cancer Patients: A Nationwide Population-Based Cohort Study.Journal of personalized medicine · 2024Article
- What can hospital emergency admissions prior to cancer diagnosis tell us about socio-economic inequalities in cancer diagnosis? Evidence from population-based data in England.British journal of cancer · 2024Article
- Inequalities in treatment among patients with colon and rectal cancer: a multistate survival model using data from England national cancer registry 2012-2016.British journal of cancer · 2024Article
- Regional variations and deprivation are linked to poorer access to laparoscopic and robotic colorectal surgery: a national study in England.Techniques in coloproctology · 2023Article
- Changing patterns of multidisciplinary team treatment, early mortality, and survival in colorectal cancer.BJS open · 2022Article
- Socioeconomic differences in help seeking for colorectal cancer symptoms during COVID-19: a UK-wide qualitative interview study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022Article
- Article
- Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost?British journal of cancer · 2022Article
- Do presenting symptoms, use of pre-diagnostic endoscopy and risk of emergency cancer diagnosis vary by comorbidity burden and type in patients with colorectal cancer?British journal of cancer · 2022Article
- Variation in colon cancer survival for patients living and receiving care in London, 2006-2013: does where you live matter?Journal of epidemiology and community health · 2022Article
- Article
- Socioeconomic Environment and Survival in Patients with Digestive Cancers: A French Population-Based Study.Cancers · 2021Article
- Low Socioeconomic Status Is Associated with Worse Outcomes After Curative Surgery for Colorectal Cancer: Results from a Large, Multicenter Study.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020Article
- Socioeconomic Inequalities in Colorectal Cancer Survival in Southern Spain: A Multilevel Population-Based Cohort Study.Clinical epidemiology · 2020Article
- Contrasting effects of comorbidities on emergency colon cancer diagnosis: a longitudinal data-linkage study in England.BMC health services research · 2019Article
- Persistent inequalities in unplanned hospitalisation among colon cancer patients across critical phases of their care pathway, England, 2011-13.British journal of cancer · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundVariation 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.
methodsNational 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.
resultsNinety-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.
conclusionsFurther examination of delayed diagnosis, access to treatment and post-operative care by deprivation group may provide additional insights into understanding deprivation disparities in mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.