Developing a prediction model for selecting patients with sarcoma

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This project aims to analyze various aspects of sarcoma care, including diagnostics, treatment, and follow-up. Through interdisciplinary collaboration, the study will develop predictive and prognostic criteria to enhance treatment outcomes for patients with sarcoma. The analysis will focus on patient characteristics, tumor types, histology, management strategies, recurrence rates, and overall survival. The goal is to create a model that can guide future patient selection for different diagnostic and treatment procedures.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Malignant and intermediate and selected benign bone or soft tissue tumors, acc. to the WHO coding list of the SSN
* Female and male subjects of all ages

Exclusion Criteria:

* Documented objection of subsequent use of personal health data

Where it's running

• Kantonsspital Winterthur
  Winterthur, Canton of Zurich, Switzerland Recruiting
• SwissSarcomaNetwork
  Winterthur, Canton of Zurich, Switzerland Recruiting
• Ente Ospedaliero Cantonale
  Bellinzona, Canton Ticino, Switzerland Recruiting
• Kantonsspital Graubünden
  Chur, Kanton Graubünden, Switzerland Recruiting
• Luzerner Kantonsspital
  Lucerne, Switzerland Recruiting
• Pathologie Institut Enge
  Zurich, Switzerland Recruiting

Study contacts

• Principal investigator: Bruno Fuchs, Prof — SwissSarcomaNetwork
• Study coordinator: Bruno Fuchs, Prof.
• Email: bruno.fuchs@ksw.ch
• Phone: +41 52 266 25 33

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Other studies for the same condition or treatment. Recruiting studies are listed first.

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.