Evidence map›Paper›PMID 30191524›Full record

ArticleJournal of cancer survivorship : research and practice2018

The effect of comorbidities on outcomes in colorectal cancer survivors: a population-based cohort study.

Colleen A Cuthbert, Brenda R Hemmelgarn, Yuan Xu, Winson Y Cheung

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 13% of its field
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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Patient-reported outcomes as predictors of survival in patients with bowel cancer: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Pooled it
  4. Patterns of Multimorbidity among Older Adults with Colorectal Cancer Living in Puerto Rico.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  5. Article
  6. General Principles of Risk Mitigation before Colorectal Surgery.Clinics in colon and rectal surgery · 2026
    Review
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  9. Review
  10. Observational
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  16. Physical Activity among Colorectal Cancer Patients and Survivors in Egypt.Asian Pacific journal of cancer prevention : APJCP · 2023
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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

4 authors at 1 institution in 1 country.

Colleen A CuthbertCumming School of Medicine, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4N1, Canada. cacuthbe@ucalgary.ca.ORCID 0000-0002-0940-2802
Brenda R HemmelgarnDepartments of Community Health Sciences and Medicine, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4N1, Canada.
Yuan XuDepartments of Surgery, Community Health Sciences, and Oncology, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4Z6, Canada.
Winson Y CheungDepartments of Oncology and Medicine, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4N1, Canada.
University of Calgary · CA

Funding

CIHR
6 · The paper itself

Abstract

purposeTo examine the prevalence of comorbidities and the association of these comorbidities with demographics, tumor characteristics, treatments received, overall survival, and causes of death in a population-based cohort of colorectal cancer (CRC) patients.

methodsAdult patients with stage I-III CRC diagnosed between 2004 and 2015 were included. Comorbidities were captured using Charlson comorbidity index. Causes of death were categorized using International Classification of Diseases, tenth revision codes. Patients were categorized into five mutually exclusive comorbid groups (cardiovascular disease alone, diabetes alone, cardiovascular disease plus diabetes, other comorbidities, or no comorbidities). Data were analyzed using descriptive statistics, Kaplan-Meier survival analyses, and Cox proportional hazards models.

resultsThere were 12,265 patients. Mean follow-up was 3.8 years. Approximately one third of patients had a least one comorbidity, with cardiovascular disease and diabetes being most common. There were statistically significant differences across comorbid groups on treatments received and overall survival. Those with comorbidity had lower odds of treatment and greater risk of death than those with no comorbidity. Those with cardiovascular disease plus diabetes fared the worst for prognosis (median overall survival 3.3 [2.8-3.7] years; adjusted HR for death, 2.27, 95% CI 2.0-2.6, p < .001). Cardiovascular disease was the most common cause of non-CRC death.

conclusionsCRC patients with comorbidity received curative intent treatment less frequently and experienced worse outcomes than patients with no comorbidity. Cardiovascular disease was the most common cause of non-cancer death. IMPLICATIONS FOR CANCER SURVIVORS: Management of comorbidities, including healthy lifestyle coaching, at diagnosis and into survivorship is an important component of cancer care.

Indexed as

AgedAged, 80 and overCancer SurvivorsCohort StudiesColorectal NeoplasmsComorbidityFemaleHumansMaleMiddle AgedPrognosisTreatment OutcomeCause of DeathColorectal CancerComorbiditiesPopulation Cohort StudySurvival

Identifiers

PMID30191524
OpenAlexW2892364056

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.