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Record W27473153

Percutaneous lumbar mechanical disc decompression utilizing Dekompressor®: an update of current evidence.

2013· review· en· W27473153 on OpenAlexaboutno aff
Laxmaiah Manchikanti, Vijay Singh, Aaron K Calodney, Standiford Helm, Timothy R. Deer, Ramsin Benyamin, Falco Fj, Joshua A Hirsch

Bibliographic record

VenuePubMed · 2013
Typereview
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiscectomyDecompressionPercutaneousSurgerySystematic reviewRandomized controlled trialEvidence-based medicineObservational studyLumbarMEDLINEInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0070.009
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.237
GPT teacher head0.411
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations27
Published2013
Admission routes1
Has abstractyes

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