Prediction tool for chemotherapy toxicity in older adults with cancer
A predictive model for chemotherapy toxicity in older adults with cancer that consists of 11 questions (c-indices: 0.65-0.72).
Research authors: Hurria A, Togawa K, Mohile SG, Owusu C, Klepin HD, Gross CP, Lichtman SM, Gajra A, Bhatia S, Katheria V, Klapper S, Hansen K, Ramani R, Lachs M, Wong FL, Tew WP
Version: 1.26
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  • Oncology
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Chemotoxicity risk score is: points (see result interpretation below)

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How this model should be used: 
This risk stratification schema establishes the risk of chemotherapy toxicity in older adults.

Overall model performance: 
Upon internal validation in the original study population (N=500), discriminative power of the model was reasonable to good with an area under the ROC curve (c-index) of 0.72 (95% CI: 0.68 to 0.77).1 In an external validation (N=250) performed by the same research group, a c-index of 0.65 (95% CI: 0.58 to 0.71) was reported.2

Model performance versus KPS:
Physician-rated Karnofsky Performance Score (KPS) was not predictive of chemotherapy toxicity (Figure 1)in either the development cohort (P=0.19) or the validation cohort (P=0.25), with correponding c-indices of 0.54 and 0.53, respectively. 

Sources:
1 Hurria A, Togawa K, Mohile SG, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncol. 2011;29(25):3457-65.
2 Hurria A, Mohile S, Gajra A, et al. Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer. J Clin Oncol. pii: JCO654327.

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This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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