A Multicenter Observational Cohort of Degenerative Spine Diseases in China（DSDC）
NCT ID: NCT05867732
Last Updated: 2023-05-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
10000 participants
OBSERVATIONAL
2022-03-01
2023-03-01
Brief Summary
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The main questions it aims to answer are:
* \[question 1\] to construct a database of patients with degenerative spinal diseases and to study their associated prognosis, complications, and other risks
* \[Question 2\] Use big data to build a risk early warning model and assisted decision making system The study will not intervene with patients
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Eligibility Criteria
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Inclusion Criteria
* complete patient data with no more than 5% missing;
Exclusion Criteria
ALL
No
Sponsors
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Xiamen University
OTHER
Responsible Party
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Wenle Li
Dr.
Principal Investigators
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Wenle Wenle, M.D.
Role: PRINCIPAL_INVESTIGATOR
Xiamen University
Locations
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Wenle Li
Xianmencun, , China
Countries
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References
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Shen N, Zhang Y, Ding Z, Li R, Quan X, Liu X, Zhang Y, Xiang T, Zhang Y, Yin C, Li W. Predicting intraoperative blood loss risk in severe lumbar disc herniation patients undergoing PLIF: a multicenter cohort study using ensemble learning. Int J Surg. 2025 Sep 1;111(9):5904-5913. doi: 10.1097/JS9.0000000000002730. Epub 2025 Jun 19.
Li W, Zhang Y, Zhou X, Quan X, Chen B, Hou X, Xu Q, He W, Chen L, Liu X, Zhang Y, Xiang T, Li R, Liu Q, Wu SN, Wang K, Liu W, Zheng J, Luan H, Yu X, Chen A, Xu C, Luo T, Hu Z. Ensemble learning-assisted prediction of prolonged hospital length of stay after spine correction surgery: a multi-center cohort study. J Orthop Surg Res. 2024 Feb 2;19(1):112. doi: 10.1186/s13018-024-04576-4.
Other Identifiers
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XiamenUDSDC
Identifier Type: -
Identifier Source: org_study_id
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