Percutaneous Lumbar Mechanical DiscDecompression Utilizing Dekompressor®: AnUpdate of Current Evidence
Bibliographic record
Abstract
Background: The primary goal of the surgical treatment of nerve root compression from a disc protrusion continues to be the relief of compression by removing the herniated nuclear material with open discectomy. However, poor results have been reported for contained disc herniations with open surgical interventions. In recent years, a number of minimally invasive nuclear decompression techniques for lumbar disc prolapse, protrusion, and/or herniation have been introduced, including the Dekompressor®. The efficacy of several alternative techniques, including the Dekompressor, automated percutaneous discectomy, and laser discectomy, has been described, but is not convincing. There is a continued paucity of evidence for all decompression techniques. Objective: The objective of this systematic review is to evaluate and update the literature describing the clinical effectiveness of Dekompressor, a high rotation per minute (RPM) device used in mechanical lumbar disc decompression. Study Design: A systematic review of the literature focusing on mechanical disc decompression with Dekompressor. Methods: The available literature on the use of percutaneous disc decompression (PDD) with Dekompressor to manage chronic low back and lower extremity pain was reviewed using the Cochrane Musculoskeletal Review Group criteria for randomized trials and the Newcastle-Ottawa Scale criteria for observational studies. The level of evidence was classified as good, fair, and limited or poor based on the US Preventive Services Task Force (USPSTF) system for grading the quality of evidence. Data sources included relevant literature identified through PubMed and EMBASE from 1966 through September 2012, and manual searches of the bibliographies of known primary and review articles. Outcome Measures: Pain relief was the primary outcome measure. Secondary outcome measures were functional improvement, improvement of psychological status, opioid intake, and return to work. Short-term effectiveness was defined as one year or less. Long-term effectiveness was defined as greater than one year. Results: Only 5 studies were considered for inclusion. Of those, only 3 of them met inclusion criteria. Based on USPSTF criteria, the level of evidence for PDD with Dekompressor is limited. Limitations: Paucity of high quality literature. Conclusion: This systematic review found limited evidence for PDD with Dekompressor. Key words: Intervertebral disc disease, chronic low back pain, mechanical disc decompression, disc protrusion, disc extrusion, radiculitis, Dekompressor.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".