2010 journal article

Modeling the impact of comorbidity on breast cancer patient outcomes


By: S. Zhang n, J. Ivy n, F. Payton n & K. Diehl*

author keywords: Nationwide inpatient sample; Breast cancer; Comorbidity; Descriptive statistics; Least squares regression; Survival analysis; Logistic regression; Censoring; Length of stay; Total charges; Mortality
MeSH headings : Aged; Breast Neoplasms / economics; Breast Neoplasms / mortality; Breast Neoplasms, Male / economics; Breast Neoplasms, Male / mortality; Comorbidity; Female; Hospital Charges / statistics & numerical data; Humans; Length of Stay; Logistic Models; Male; Middle Aged; Models, Theoretical; Outcome Assessment, Health Care; Survival Analysis; United States / epidemiology
TL;DR: This study shows that certain hypertension may not increase length of stay and total charges; diabetes behaves differently among general population and breast cancer patients; mental disorder has an impact on patient disposition that affects true length ofStay and charges, and obesity may have limited effect on patient outcomes. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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