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Predicting Outcomes After Lumbar Fusion for Degenerative Disease

NCT05161130 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1115

Last updated 2022-01-10

No results posted yet for this study

Summary

The aim of the FUSE-ML study is to develop and externally validate a robust ML-based prediction tool based on multicenter data from a range of international centers that will provide individualized risk-benefit profiles tailored to each patient undergoing lumbar spinal fusion for degenerative disease. Data will be collected by a range of international centers.

Conditions

  • Low Back Pain
  • Disk Herniated Lumbar
  • Spinal Stenosis Lumbar

Interventions

PROCEDURE

Lumbar Spinal Fusion

Lumbar Spinal Fusion with or without posterior stabilization

Sponsors & Collaborators

  • University of Zurich

    collaborator OTHER

  • Bergman Clinics

    lead OTHER

Principal Investigators

  • Marc L Schröder, MD PhD · Bergman Clinics

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2021-11-01
Completion
2021-11-01

Countries

  • Austria
  • France
  • Netherlands

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05161130 on ClinicalTrials.gov