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The impact of comorbidity on cancer survival: a review

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TLDR
In general, comorbidity does not appear to be associated with more aggressive types of cancer or other differences in tumor biology, and it is unclear from the literature whether the apparent undertreatment reflects appropriate consideration of greater toxicity risk, poorer clinical quality, patient preferences, or poor adherence among patients with comor bidity.
Abstract
Background A number of studies have shown poorer survival among cancer patients with comorbidity. Several mechanisms may underlie this finding. In this review we summarize the current literature on the association between patient comorbidity and cancer prognosis. Prognostic factors examined include tumor biology, diagnosis, treatment, clinical quality, and adherence. Methods All English-language articles published during 2002-2012 on the association between comorbidity and survival among patients with colon cancer, breast cancer, and lung cancer were identified from PubMed, MEDLINE and Embase. Titles and abstracts were reviewed to identify eligible studies and their main results were then extracted. Results Our search yielded more than 2,500 articles related to comorbidity and cancer, but few investigated the prognostic impact of comorbidity as a primary aim. Most studies found that cancer patients with comorbidity had poorer survival than those without comorbidity, with 5-year mortality hazard ratios ranging from 1.1 to 5.8. Few studies examined the influence of specific chronic conditions. In general, comorbidity does not appear to be associated with more aggressive types of cancer or other differences in tumor biology. Presence of specific severe comorbidities or psychiatric disorders were found to be associated with delayed cancer diagnosis in some studies, while chronic diseases requiring regular medical visits were associated with earlier cancer detection in others. Another finding was that patients with comorbidity do not receive standard cancer treatments such as surgery, chemotherapy, and radiation therapy as often as patients without comorbidity, and their chance of completing a course of cancer treatment is lower. Postoperative complications and mortality are higher in patients with comorbidity. It is unclear from the literature whether the apparent undertreatment reflects appropriate consideration of greater toxicity risk, poorer clinical quality, patient preferences, or poor adherence among patients with comorbidity. Conclusion Despite increasing recognition of the importance of comorbid illnesses among cancer patients, major challenges remain. Both treatment effectiveness and compliance appear compromised among cancer patients with comorbidity. Data on clinical quality is limited.

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Influence of metabolic indicators, smoking, alcohol and socioeconomic position on mortality after breast cancer.

TL;DR: It is indicated that these factors explain some but not all the social inequality in survival after breast cancer and that improvement of lifestyle to some extent would improve survival among women with low socioeconomic position.
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Comorbidity Assessment in the National Cancer Database for Patients With Surgically Resected Breast, Colorectal, or Lung Cancer (AFT-01, -02, -03).

TL;DR: The National Cancer Database underestimated comorbidity in patients with surgically resected breast, colorectal, or lung cancer, partly because the NCDB codes missing data as CCI 0, however, despite underestimation, the N CDB CCI was similar to the more complete measures of comor bidity in the Special Study in predicting overall survival.
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The mortality reducing effect of aspirin in colorectal cancer patients: Interpreting the evidence.

TL;DR: The current evidence is not sufficient to already prescribe aspirin as adjuvant therapy for colorectal cancer, and perspective is provided on the specific types of bias associated with these studies.
References
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Journal ArticleDOI

A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation☆

TL;DR: The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death fromComorbid disease for use in longitudinal studies and further work in larger populations is still required to refine the approach.
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Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study

TL;DR: The findings challenge the single-disease framework by which most health care, medical research, and medical education is configured, and a complementary strategy is needed, supporting generalist clinicians to provide personalised, comprehensive continuity of care, especially in socioeconomically deprived areas.
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A dictionary of epidemiology

TL;DR: The new edition of this classic text remains the definitive dictionary in epidemiology, and the dictionary goes beyond simple definitions, as it place each term firmly and clearly in its fuller epidemiologic context.
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Underrepresentation of patients 65 years of age or older in cancer-treatment trials.

TL;DR: There is substantial under representation of patients 65 years of age or older in studies of treatment for cancer, and the reasons should be clarified, and policies adopted to correct this underrepresentation.
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Cumulative illness rating scale.

TL;DR: A Cumulative Illness Rating Scale, designed to meet the need for a brief, comprehensive and reliable instrument for assessing physical impairment, has been developed and tested and is well suited to a variety of research uses.
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Both treatment effectiveness and compliance appear compromised among cancer patients with comorbidity.