Skip to main content
OpenTrials
Recruiting

NCT Number: NCT06346080

Molecular Analysis for Gastro-Esophageal Cancer: Multicenter Discrete Choice Experiment

The goal of this survey is to investigate the participants' preference for a specific screening/diagnostic tool to detect and assess gastro-esophageal cancer.

The main question it aims to answer are:

* Which diagnostic modality is preferred by patients and the general population? * Which features of the diagnostic test are most detrimental in the decision-making for one or the other modality? * Are geographical differences present in regard to the preference for a diagnostic modality?

Participants will be asked to complete a survey of 20-25min, including a brief intake regarding their socio-economic status. This approach will allow us to correct for confounding factors.

Recruiting

Interested in participating?

Request Info

Key information

Conditions

Esophageal Cancer Digestive System Diseases Digestive System Neoplasms Esophageal Diseases Esophageal Neoplasms Gastric Cancer Gastrointestinal Diseases Gastrointestinal Neoplasms Head and Neck Neoplasms Neoplasms Neoplasms by Site Stomach Diseases Stomach Neoplasms

Age range

18 year–85 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University Hospitals Leuven

Leuven, 3000, Belgium

Location status: Recruiting

Location contact

Stijn Vanstraelen, MD

CONTACT

[email protected]

16347863 ext. 0032

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Individuals >18yo to 75yo (upper age limit of Barrett's surveillance)
  • Access to computer or smartphone
  • Clear understanding of available languages of the experiment (English, French, Dutch, Spanish, German, Chinese, Japanese)

Exclusion criteria

  • Individuals less than 18yo and more than 75yo
  • Incarcerated individuals

Treatment and study plan

Survey

Other

Discrete choice survey

Primary outcomes

  1. The rate of contribution of diagnostic features to the preference of participants

    Time frame: 2 years

    A part-worth analysis, expressed as percentage, from a discrete choice experiment (questionnaire) will assess the features that are most important to the participants

  2. The percentage differences in preference of participants between geographical regions

    Time frame: 2 years

    Differences in preferences will be compared between different geographical regions using chi-squared or McNemar's test

Secondary outcomes

  1. Assess the rate patient-level demographics influence the importance of a test feature, expressed as an odds ratio

    Time frame: 2 years

    Assess the influence of demographic characteristics on the decision-making process using a multivariable logistic regression model, providing odds ratios.

  2. Assess the rate of trade-off demonstrated as odds ratio between cancer-related mortality reduction and costs

    Time frame: 2 years

    Based on an anticipated cancer detection and cost, we will assess the willingness-to-pay using a multivariable logistic regression, providing odds ratios.

Study contacts

Contact information is provided by the study sponsor or research team.

Stijn Vanstraelen, MD

CONTACT

[email protected]

16346822 ext. 0032

Sponsors and collaborators

Lead sponsor

KU Leuven

Other

Registry information

Acronym: MAGECmultiDiCE

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Apr 3, 2024
Registry last updated
Feb 18, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.