Are we ready to predict late effects? A systematic review of clinically useful prediction models

Research output: Contribution to journalReviewResearchpeer-review

  • Talya Salz
  • Shrujal S Baxi
  • Nirupa Raghunathan
  • Erin E Onstad
  • Andrew N Freedman
  • Chaya S Moskowitz
  • Susanne Oksbjerg Dalton
  • Karyn A Goodman
  • Johansen, Christoffer
  • Matthew J Matasar
  • Peter de Nully Brown
  • Kevin C Oeffinger
  • Andrew J Vickers

BACKGROUND: After completing treatment for cancer, survivors may experience late effects: consequences of treatment that persist or arise after a latent period.

PURPOSE: To identify and describe all models that predict the risk of late effects and could be used in clinical practice.

DATA SOURCES: We searched Medline through April 2014.

STUDY SELECTION: Studies describing models that (1) predicted the absolute risk of a late effect present at least 1 year post-treatment, and (2) could be used in a clinical setting.

DATA EXTRACTION: Three authors independently extracted data pertaining to patient characteristics, late effects, the prediction model and model evaluation.

DATA SYNTHESIS: Across 14 studies identified for review, nine late effects were predicted: erectile dysfunction and urinary incontinence after prostate cancer; arm lymphoedema, psychological morbidity, cardiomyopathy or heart failure and cardiac event after breast cancer; swallowing dysfunction after head and neck cancer; breast cancer after Hodgkin lymphoma and thyroid cancer after childhood cancer. Of these, four late effects are persistent effects of treatment and five appear after a latent period. Two studies were externally validated. Six studies were designed to inform decisions about treatment rather than survivorship care. Nomograms were the most common clinical output.

CONCLUSION: Despite the call among survivorship experts for risk stratification, few published models are useful for risk-stratifying prevention, early detection or management of late effects. Few models address serious, modifiable late effects, limiting their utility. Cancer survivors would benefit from models focused on long-term, modifiable and serious late effects to inform the management of survivorship care.

Original languageEnglish
JournalEuropean journal of cancer (Oxford, England : 1990)
Volume51
Issue number6
Pages (from-to)758-66
Number of pages9
ISSN0959-8049
DOIs
Publication statusPublished - Apr 2015

    Research areas

  • Decision Support Techniques, Humans, Models, Statistical, Neoplasms, Survivors

ID: 162712725