ArticleJournal of geriatric oncology2017
Using heat maps to assess the multidimensional association of comorbidities with survival in older cancer patients treated with chemotherapy.
Article in Journal of geriatric oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Comparing the Behavioral Impacts of Heavy Metals and Rare Earth Elements on Black Soldier Fly (Toxics · 2026Article
- Detecting Multimorbidity Patterns with Association Rule Mining in Patients with Alzheimer's Disease and Related Dementias.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Association of multidimensional comorbidities with survival, toxicity, and unplanned hospitalizations in older adults with metastatic colorectal cancer treated with chemotherapy.Journal of geriatric oncology · 2019Article
- The Influence of Multiple Chronic Conditions on Symptom Clusters in People With Solid Tumor Cancers.Cancer nursingArticle
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo date, most comorbidity studies have analyzed either a subgroup of frequent diseases, or used summary instruments such as the Charlson score or the Cumulative Illness Rating Scale-Geriatric (CIRS-G). Yet, comorbidity is a multidimensional construct and impacts function, treatment tolerance, and survival. We assessed how heat maps can unveil specific patterns of comorbidities associated with overall survival (OS) in older cancer patients treated with chemotherapy. MATERIAL AND
methodsWe reviewed four trials that prospectively evaluated comorbidities using CIRS-G. Eligible patients were 65years or older and had solid tumors with 30 or more patients per tumor site. Heat maps were constructed based on CIRS-G scores and correlated with OS.
resultsAmong 818 patients accrued, 399 were eligible: Median follow-up was 53.4months and median OS was 19.6months (95% CI: 16.5-24.2). In the univariate model for OS, patients with a severe CIRS-G score in 6 organ categories (3-4 in heart, hematopoietic, respiratory, and musculoskeletal-integument and 2-4 in upper GI and liver) had statistically worse OS than those with lower scores. According to a total risk score (TRS) based on hazard ratios for OS, OS of the low risk group (N=309, TRS<2) was significantly higher (24.3m vs. 10.8m, HR=2.05, 95% CI: 1.58-2.66). TRS was a predictor for OS independently from stage, primary site, prior chemotherapy, ECOG performance status, and IADL (HR=1.94, 95% CI: 1.47-2.57).
conclusionsHigh TRS was a predictor of poor survival. Comorbidity heat maps appear promising to identify diseases most affecting the OS of older cancer patients.
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