Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Frey's Scenario F simulation mentioned in account of the Democratic Party's tribulations

U-M Poverty Solutions funds nine projects

Dynarski says NY's Excelsior Scholarship Program could crowd out low-income and minority students

More News

Highlights

Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

More Highlights

Next Brown Bag

Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

Amongst eligible patients, age and comorbidity do not predict for dose-limiting toxicity from phase I chemotherapy

Archived Abstract of Former PSC Researcher

LoConte, NK, M. Smith, D. Alberti, J. Bozeman, J.F. Cleary, A.N. Setala, Geoffrey Wodtke, G. Wilding, and K.D. Holen. 2010. "Amongst eligible patients, age and comorbidity do not predict for dose-limiting toxicity from phase I chemotherapy." Cancer Chemotherapy and Pharmacology, 65(4): 775-780.

Background
There are no clear predictors clinicians can use to determine who is more likely to experience dose-limiting toxicity (DLT) in phase I chemotherapy clinical trials. Many providers are reluctant to refer older adults to phase I trials because of concerns about the development of toxicity. The goal of this study was to identify clinical and nonclinical factors which were associated with the development of DLT in phase I studies. Methods
Patients (pts) were included if they were treated at maximally tolerated dose (MTD) and above. Studies were included only if MTD was reached. Data collected included age, comorbidity (Cumulative Illness Rating Score-Geriatrics), labs at enrollment, height, weight, performance status, cancer type, duration of diagnosis, prior treatment, drug level, smoking status, marital status, mean income, percent of population high school educated as determined by ZIP code, and distance to the phase I trial hospital. Those who did and did not have DLT were compared by bivariate and then multivariate analysis. Results
A total of 242 charts were reviewed from 24 cytotoxic chemotherapy studies, and 27 different types of cancer were represented. On bivariate analysis, mean age, household income (higher), weight, body surface area, dose of drug, alkaline phosphatase, hemoglobin, and LDH were significantly associated with DLT (P < 0.05). CIRS-G score was not associated with DLT. In multivariate analysis, dose level (P = 0.004) and distance from the phase I trial hospital (P = 0.04) were still significant predictors of DLT. Age did not predict for severity of DLT. Conclusions
Age and comorbidity did not predict for development of DLT in phase I chemotherapy trials. Many of these pts were very fit, with relatively low CIRS-G scores, so the impact of comorbidity may not have been fully evaluated. Several social and clinical factors may predict for development of DLT. A prospective study is being planned to confirm these results.

PMCID: PMC2809128. (Pub Med Central)

Country of focus: United States of America.

Browse | Search : All Pubs | Next