Competing Risks in Older Patients With Cancer: A Systematic Review of Geriatric Oncology Trials

J Natl Cancer Inst. 2018 Aug 1;110(8):825-830. doi: 10.1093/jnci/djy111.

Abstract

Background: It is increasingly recognized that older adults with cancer represent a diverse cohort of patients and that other comorbidities may have an equal impact on survival and quality of life as any diagnosis of malignancy. Competing risk has consequently emerged as an important concept in the design and reporting of geriatric oncology trials.

Methods: We performed a systematic review of phase II and III oncology trials for systemic therapy in older patients with solid organ malignancy from the year 2000 until April 30, 2017. Forty-one trials including 7864 patients were identified for evaluation.

Results: Only 15 trials (36.6%) employed disease-related end points to account for death from other causes, and only one study used statistical analysis that addressed competing risk. Seventeen studies (41.5%) of trials included some assessment of comorbidity or frailty. Twenty-one trials (51.2%) included any assessment of quality of life.

Conclusions: This review demonstrates clear areas for improvement for future studies and highlights the need for careful consideration of trial design, data collection, and appropriate statistical methodology for reporting of competing risks in geriatric oncology trials.

Publication types

  • Systematic Review

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use*
  • Clinical Trials, Phase II as Topic* / standards
  • Clinical Trials, Phase II as Topic* / statistics & numerical data
  • Clinical Trials, Phase III as Topic* / standards
  • Clinical Trials, Phase III as Topic* / statistics & numerical data
  • Geriatric Assessment* / methods
  • Geriatrics / methods
  • Geriatrics / standards
  • Humans
  • Medical Oncology / methods
  • Medical Oncology / standards
  • Neoplasms / diagnosis*
  • Neoplasms / drug therapy*
  • Neoplasms / epidemiology
  • Prognosis
  • Quality of Life
  • Risk Assessment
  • Survival Analysis