Factors influencing inclusion in digestive cancer clinical trials: A population-based study

Dig Liver Dis. 2015 Oct;47(10):891-6. doi: 10.1016/j.dld.2015.05.017. Epub 2015 May 28.

Abstract

Background: Inclusion in a randomized therapeutic trial represents an optimal therapeutic strategy.

Aims: To determine the influence of demographic characteristics and deprivation on the enrolment of patients in digestive cancer clinical trials.

Methods: Between 2004 and 2010, 4632 patients were recorded by the Burgundy Digestive Cancer Registry. According to a balancing score, the 136 patients included in a clinical trial were matched with 272 patients who met the eligibility criteria for trials. Deprivation was measured by the ecological European deprivation index. A conditional multivariate logistic regression was performed.

Results: Patients aged over 75 years were significantly less likely to be included in clinical trials than younger patients (odds ratio 0.33; [0.13-0.87]). Patients treated in private institutions were also less likely to be enrolled than those treated in public institutions (odds ratio 0.04; [0.01-0.16]; p<0.001). A relationship between type of institution and the European deprivation index was observed (p=0.017). Deprived patients were less likely to be included in clinical trials when they were managed in private institutions (odds ratio 0.706; [0.524-0.952]; p=0.022). The European deprivation index had no impact when patients were managed in other institutions.

Conclusion: The relationship between type of institution and deprivation underlines the necessity for improving patients' chance of being recruited in digestive cancer clinical trials.

Keywords: Clinical trial; Digestive cancers; Registries; Socio-economic factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Clinical Trials as Topic / standards*
  • Gastrointestinal Neoplasms / diagnosis*
  • Gastrointestinal Neoplasms / therapy*
  • Humans
  • Logistic Models
  • Multivariate Analysis
  • Patient Selection*
  • Registries
  • Socioeconomic Factors