Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study.

By A. Hurria, K. Togawa, S. Mohile, C. Owusu, H. Klepin, C. Gross, S. Lichtman, A. Gajra, S. Bhatia, V. Katheria and 6 more. Journal of Clinical Oncology, 2011

1,599 citations recorded by the source corpus.

Subfields: Geriatrics and Gerontology, Oncology

View Paper: https://www.semanticscholar.org/paper/7e02daf6765b4195b11ee532fd3197e6a3f89565

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In Oncology

1. Allison O'Hair
2. Dimitris J. Bertsimas
3. John Silberholz
4. Stephen Relyea

Citations in the corpus

• Operationalization of Frailty Using Eight Commonly Used Scales and Comparison of Their Ability to Predict All‐Cause Mortality (2013, neutral): “With how many of the following activities do you require help? (meal preparation, shopping, transportation, telephone, housekeeping, laundry, managing money, taking medications) 0–1 activities = 0; 2–4 activities = 1; 5–8 activities = 2 Please tell me if you have any difficulty with these because of”
• An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer (2016, methodology): “Most commonly, these prediction models are trained on individual patient records and used to predict the clinical outcome of an unseen patient, often yielding impressive out-of-sample predictions (Burke 1997, Delen et al. 2005, Lee et al. 2003, Hurria et al. 2011, Jefferson et al. 1997).”