Geriatric assessment domains as predictors for clinical endpoints in older adults with cancer: Protocol for an updated systematic review

  • 0College of Nursing, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

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Summary

This summary is machine-generated.

Geriatric assessments (GA) help older cancer patients by predicting mortality and treatment outcomes. Identifying key GA domains can improve risk stratification when full assessments aren't feasible.

Area Of Science

  • Geriatric Oncology
  • Evidence-Based Medicine
  • Systematic Review Methodology

Background

  • Geriatric assessments (GA) are crucial for guiding treatment decisions and supportive care in older adults with cancer.
  • Identifying specific GA domains that predict outcomes is essential for risk stratification, especially when comprehensive assessments are not feasible.

Purpose Of The Study

  • To systematically review and evaluate individual geriatric assessment domains as predictors of mortality and treatment-related outcomes in older adults with cancer.
  • To inform the optimization of geriatric assessments for improved patient management and outcomes.

Main Methods

  • Updated systematic review of peer-reviewed literature from July 2017 onwards.
  • Searches conducted in Medline, Cochrane, Embase, and CINAHL databases using a predefined strategy.
  • Independent screening, data extraction by at least two authors, and assessment of cut-offs for GA domains.

Main Results

  • The review will synthesize evidence on the predictive value of individual GA domains for mortality and treatment outcomes.
  • Analysis will consider heterogeneity, variability in GA tools/cutoffs, and risk of bias.
  • A meta-analysis will be performed if criteria for heterogeneity and data availability are met.

Conclusions

  • Individual geriatric assessment domains can serve as valuable predictors for mortality and treatment outcomes in older cancer patients.
  • Findings will guide the refinement of geriatric assessment protocols to enhance risk stratification and personalize care for this population.

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