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Record W2403770363

An update of the effectiveness of therapeutic lumbar facet joint interventions.

2013· article· en· W2403770363 on OpenAlexaboutno aff
Laxmaiah Manchikanti, S. Datta, Nalini Sehgal, Obi Onyewu, Ward Sp, Manohar Sharma

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFacet jointFacet (psychology)Physical therapyLow back painPsychological interventionLumbarObservational studyRandomized controlled trialSystematic reviewPhysical medicine and rehabilitationMEDLINESurgeryAlternative medicineInternal medicinePsychiatryPsychology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Therapeutic lumbar facet joint interventions are implemented to provide long-term pain relief after the facet joint has been identified as the basis for low back pain. The therapeutic lumbar facet joint interventions generally used for the treatment of low back pain of facet joint origin are intraarticular facet joint injections, lumbar facet joint nerve blocks, and radiofrequency neurotomy. OBJECTIVE: To evaluate and update the effect of therapeutic lumbar facet joint interventions in managing chronic low back pain. STUDY DESIGN: A systematic review of therapeutic lumbar facet joint interventions for the treatment of chronic low back pain. METHODS: The available literature on lumbar facet joint interventions in managing chronic low back pain 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. Preventative Services Task Force. Data sources included relevant literature identified through searches of PubMed and EMBASE from 1966 through June 2012, and manual searches of the bibliographies of known primary and review articles. OUTCOME MEASURES: The primary outcome measure was pain relief with short-term relief defined as up to 6 months and long-term relief as 12 months. Secondary outcome measures were improvement in functional status, psychological status, return to work, and reduction in opioid intake. RESULTS: For this systematic review, 122 studies were identified. Of these, 11 randomized trials and 14 observational studies met inclusion criteria for methodological quality assessment. The evidence for radiofrequency neurotomy is good and fair to good for lumbar facet joint nerve blocks for short- and long-term improvement; whereas the evidence for intraarticular injections and pulsed radiofrequency neurotomy is limited. LIMITATIONS: The limitations of this systematic review include the continued paucity of evidence, specifically for intraarticular injection therapy. CONCLUSION: In summary, there is good evidence for the use of conventional radiofrequency neurotomy, and fair to good evidence for lumbar facet joint nerve blocks for the treatment of chronic lumbar facet joint pain resulting in short-term and long-term pain relief and functional improvement. There is limited evidence for intraarticular facet joint injections and pulsed radiofrequency thermoneurolysis.

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)0.027
metaresearch head score (Gemma)0.104
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.104
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0190.011
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.042
GPT teacher head0.285
Teacher spread0.243 · 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

Citations46
Published2013
Admission routes1
Has abstractyes

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