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Record W2304544407 · doi:10.36076/ppj.2013/16/se25

An Update of the Systematic Assessment ofMechanical Lumbar Disc Decompression withNucleoplasty

2013· review· en· W2304544407 on OpenAlexaboutno aff
Laxmaiah Manchikanti

Bibliographic record

VenuePain Physician · 2013
Typereview
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSystematic reviewDecompressionDiscectomySurgeryLow back painEvidence-based medicineLumbarRandomized controlled trialPhysical therapyPercutaneousMEDLINEAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Lumbar disc prolapse, protrusion, and extrusion account for less than 5% of all low back problems, but are the most common causes of nerve root pain and surgical interventions. The primary rationale for any form of surgery for disc prolapse is to relieve nerve root irritation or compression due to herniated disc material. The primary modality of treatment continues to be either open or microdiscectomy, although several alternative techniques are also utilized, including nucleoplasty, automated percutaneous discectomy and laser discectomy. There is a paucity of evidence for all decompression techniques, specifically alternative techniques including nucleoplasty. STUDY DESIGN: A systematic review of the literature of mechanical lumbar disc decompression with nucleoplasty. OBJECTIVE: To determine the effectiveness and update the effectiveness of mechanical lumbar disc decompression with nucleoplasty. METHODS: The available literature on mechanical lumbar disc decompression with nucleoplasty was reviewed. The quality assessment and clinical relevance criteria utilized were the Cochrane Musculoskeletal Review Group criteria as utilized for interventional techniques for randomized trials and the criteria developed by the Newcastle-Ottawa Scale criteria for observational studies.The level of evidence was classified as good, fair, and limited or poor based on the quality of evidence developed by the U.S. Preventive Services Task Force (USPSTF) . Data sources included relevant literature identified through searches of PubMed and EMBASE from 1966 to September 2012, and manual searches of the bibliographies of known primary and review articles. OUTCOME MEASURES: Pain relief and functional improvement were the primary outcome measures. Other outcome measures were improvement of psychological status, reduction in opioid intake, and return to work. Short-term effectiveness was defined as one year or less, whereas long-term effectiveness was defined as greater than one year. RESULTS: For this systematic review, 37 studies were considered for inclusion. Of these, there was one randomized trial and 14 observational studies meeting inclusion criteria for methodological quality assessment.Based on USPSTF criteria, the level of evidence for nucleoplasty is limited to fair in managing radicular pain due to contained disc herniation. LIMITATIONS: A paucity of literature with randomized trials. CONCLUSIONS: This systematic review illustrates limited to fair evidence for nucleoplasty in managing radicular pain due to contained disc herniation.

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)0.031
metaresearch head score (Gemma)0.124
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 score0.044
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.124
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.008
Bibliometrics0.0440.024
Science and technology studies0.0010.002
Scholarly communication0.0040.005
Open science0.0030.004
Research integrity0.0020.002
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 head0.032
GPT teacher head0.371
Teacher spread0.338 · 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

Citations58
Published2013
Admission routes1
Has abstractyes

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