Selective Suction Drainage Following Unilateral Biportal Endoscopic Decompression: a retro

A retrospective cohort of 370 patients who underwent unilateral biportal endoscopic (UBE) decompression, with 110 matched pairs created via propensity score matching. The dataset includes perioperative parameters, visual analogue scale (VAS) pain scores, and a novel MRI-based grading system for postoperative local fluid collection (PLFC). The study was authored by Jianbin Guan and last updated on the Harvard Dataverse platform in April 2026.

Use Cases

• Predicting risk of clinically significant postoperative fluid collection based on patient BMI and surgical extent.
• Analyzing the trade-off between drainage-related pain and fluid collection prevention using matched cohort pain scores.
• Training models to identify high-risk patients for selective drainage algorithms.
• Evaluating the impact of prophylactic drainage on time to first ambulation.

Strengths

• Dataset includes 370 patient records with a propensity score-matched subset of 220 patients (110 pairs).
• Study employs a novel 0-3 MRI-based grading scale for postoperative fluid collection.
• Analysis identifies specific risk factors with adjusted odds ratios (e.g., BMI ≥ 25 kg/m²: OR=2.52).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• Data is retrospective and from a single study, which may reflect specific institutional biases.

Provenance

Source

Harvard Dataverse

Collection Method

Retrospective clinical cohort study.

Time Range

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Freshness

Last updated 2026-04-14 20:50:50; freshness should be verified.

Geography

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