# The Prediction of Recurrence Lumbar Disc Herniation At L5-S1 Level Through Machine Learning Models Based on Endoscopic Discectomy Via the Interlaminar Approach

> **NCT06833099** · — · COMPLETED · sponsor: **Jinyu Chen** · enrollment: 309 (actual)

## Conditions studied

- Recurrent Lumbar Disc Herniation

## Interventions

- **DIAGNOSTIC_TEST:** VAS Point and Imaging Examination

## Key facts

- **NCT ID:** NCT06833099
- **Lead sponsor:** Jinyu Chen
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2020-01-01
- **Primary completion:** 2024-05-31
- **Final completion:** 2024-11-01
- **Target enrollment:** 309 (ACTUAL)
- **Last updated:** 2025-02-18

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06833099

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06833099, "The Prediction of Recurrence Lumbar Disc Herniation At L5-S1 Level Through Machine Learning Models Based on Endoscopic Discectomy Via the Interlaminar Approach". Retrieved via AI Analytics 2026-06-24 from https://api.ai-analytics.org/clinical/NCT06833099. Licensed CC0.

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