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Radiofrequency Neurolysis for Facet Arthropathy: A Retrospective Case Series and Review of the Literature

2002· article· en· W2034256791 on OpenAlexaboutno aff
Mike A. Royal, Bhadresh Bhakta, Ian Gunyea, Mike Jenson, Venkatesh Movva, Dorene Taqi, Sameh Ward

Bibliographic record

VenuePain Practice · 2002
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeurolysisFacet (psychology)SurgeryContext (archaeology)ArthropathyRetrospective cohort studyPatient satisfactionFacet jointLumbarPhysical therapyOsteoarthritis

Abstract

fetched live from OpenAlex

CONTEXT: Facet arthropathy is a common cause of spine-related pain. Typically resulting from spondylosis, trauma, including surgical trauma or post surgical stress is also a significant cause. Radiofrequency thermocoagulation or neurolysis may be an effective modality providing long-term improvement. OBJECTIVES: To evaluate the success rates for radiofrequency neurolysis for facet arthropathy in a large retrospective case series in a single pain practice setting. DESIGN: A retrospective case series involving chart reviews and patient follow-up visits or telephone contacts of radiofrequency neurolytic procedures performed for facet arthropathy over a 4-year period. SETTING: Private practice pain clinic with academic affiliation in Tulsa, OK. PARTICIPANTS: One hundred forty eight patients with confirmed facet arthropathy refractory to conservative measures underwent 230 radiofrequency neurolysis procedures and were followed for a minimum of 1 year post procedure. For cervical facet procedures: 63 patients (106 procedures); age range F: 27-84 years old; M: 33-65 years old. For lumbar facet procedures: 85 patients (124 facet procedures); age range F: 19-81 years old; M: 20-77 years old. MAIN OUTCOME MEASURES: After the radiofrequency procedure, patients were followed with periodic visits or telephone contacts. Outcome measures were McGill short form pain questionnaire, VAS pain scores, muscle spasm scores, tenderness, range of motion and patient subjective global responses. RESULTS: Subjective patient responses were graded as follows: excellent:greater than 70% improvement, good: 50% to 70% improvement, fair: 30% to 49%, and poor: less than 30%. One hundred six radiofrequency procedures were performed in the 63 cervical cases and 124 in the 85 lumbar cases with those patients who had good to excellent responses undergoing repeat procedures. Of the patients with cervical facet radiofrequency procedures, 38 (37%), 51 (48%), 4 (3%) and 13 (12%) had excellent, good, fair or poor responses, respectively. Of the lumbar facet radiofrequency cases, 37 (30%), 52 (41%), 13 (10%) and 22 (19%) had excellent, good, fair or poor responses, respectively. Excellent responders noted an average duration of 10.8 months (range 3-34 months before dropping below 70% improvement level) for cervical cases and 7.9 months (range 3-20) for lumbar. Good responders noted an average duration of 6.5 months (range 3-22 months before dropping below 50% improvement level) for cervical and 6.8 months (range 3-48) for lumbar radiofrequency procedures. No significant side effects were experienced (short-term neuritis was seen in 2 patients who had cervical and 1 who had lumbar RFTC, but resolved in each case after a few weeks). CONCLUSIONS: In summary, 85% of cervical and 71% of lumbar RFTC cases had at least a 50% improvement in symptoms for extended periods. RFTC of median branches for facet arthropathy is a safe and efficacious modality with the potential for long-term benefit.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.291
Teacher spread0.273 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations19
Published2002
Admission routes1
Has abstractyes

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