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Related Concept Videos

Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

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Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Impact of patient-reported taxane-induced peripheral neuropathy on dose reductions or worsening quality of life in Black women with breast cancer: Analysis from ECOG-ACRIN EAZ171.

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Risk Prediction Model for Taxane-Induced Peripheral Neuropathy in Early-Stage Cancer.

Meghna S Trivedi1, Joseph M Unger2,3, N Lynn Henry4

  • 1Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.

JAMA Network Open
|April 10, 2026
PubMed
Summary
This summary is machine-generated.

A new risk prediction model identifies patients at high risk for taxane-induced peripheral neuropathy (TIPN). This model aids in personalized cancer treatment decisions and monitoring for chemotherapy side effects.

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Area of Science:

  • Oncology
  • Neurology
  • Clinical Trials

Background:

  • Taxane-induced peripheral neuropathy (TIPN) significantly impacts cancer patients' quality of life and treatment adherence.
  • Effective interventions for preventing and treating TIPN remain limited.

Purpose of the Study:

  • To develop and validate a predictive model for identifying patients at risk of developing TIPN.

Main Methods:

  • A prospective observational cohort study (SWOG S1714) involving 1278 participants receiving taxane-based chemotherapy.
  • A risk prediction model was developed using logistic regression and cross-validation on a training set (n=768) and validated on a test set (n=510).
  • TIPN occurrence was assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20-item scale (CIPN-20) by week 24.

Main Results:

  • Over 60% (804 of 1278) of participants experienced TIPN by week 24.
  • The validated risk model included factors such as paclitaxel use, advanced disease stage, treatment duration, comorbidities (diabetes, autoimmune disease, kidney disease, neurologic conditions), and patient race/ethnicity.
  • The model successfully stratified risk, with high-risk patients experiencing TIPN at a significantly higher rate (68.1%) compared to low-risk patients (50.9%) in the test set.

Conclusions:

  • A validated risk prediction model incorporating baseline factors can effectively stratify TIPN risk in cancer patients.
  • This model can potentially guide clinical decision-making, enhance symptom monitoring, and inform enrollment in targeted interventional trials for TIPN prevention and management.