Comparing the Efficacy and Safety of Unilateral Biportal Endoscopic Decompression with Percutaneous Endoscopic Lumbar Decompression for Lumbar Degenerative Diseases: A Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: Unilateral biportal endoscopic decompression (UBED) offers the advantages of minimal tissue damage, operational flexibility, and clear visualization, positioning it as an innovative and minimally invasive endoscopic technique. Nevertheless, the clinical evidence supporting the use of UBED in the treatment of degenerative lumbar diseases is limited and conflicting. METHODS: As of October 1, 2023, a comprehensive search was conducted across databases including Web of Science, PubMed, Embase, and the Cochrane Library to identify all published studies on minimally invasive UBED for the treatment of degenerative lumbar diseases. Data pertaining to patient demographics, fluoroscopy time, operative duration, intraoperative hemorrhage, hospitalization length, visual analog scale (VAS) score for back and leg pain, MacNab criteria, Oswestry Disability Index (ODI), and complication rates were extracted. The Newcastle-Ottawa scale was utilized to assess the quality. RESULTS: Twelve articles were included, involving 816 patients. The back VAS score (95% confidence interval [CI]: -0.09-0.07, P = 0.75), MacNab criteria (95% CI: 0.52-2.3, P = 0.82), fluoroscopy time (95% CI: -7.03 to -0.4, P = 0.08), and the incidence of complications (95% CI: 0.5-1.73, P = 0.82) were not significantly different, while the leg VAS score (95% CI: 0.01-0.18, P = 0.03), ODI score (95% CI: -1.03 to -0.09, P = 0.02), operation time (95% CI: 5.76-20.62, P = 0.0005), hospitalization length (95% CI: 0.41-2.76, P = 0.008), and intraoperative hemorrhage (95% CI: 21.92-72.44, P = 0.0003) were significantly different. CONCLUSIONS: UBED offers superiority in ODI, flexibility, and visual field clarity. Conversely, percutaneous endoscopic lumbar decompression presents advantages in terms of operation duration, blood loss, hospitalization length, and leg VAS score. These factors should be thoroughly considered when selecting a surgical approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.042 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".