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Record W3045248105 · doi:10.5435/jaaos-d-20-00522

Thermal Nerve Radiofrequency Ablation for the Nonsurgical Treatment of Knee Osteoarthritis: A Systematic Literature Review

2020· review· en· W3045248105 on OpenAlexaboutno aff
Antonia F. Chen, Kyle Mullen, Francisco Casambre, Vidya Visvabharathy, Gregory A. Brown

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2020
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomized controlled trialPulsed radiofrequencyOsteoarthritisRadiofrequency ablationAdverse effectGeniculateSurgeryPhysical therapyAblationInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: There are roughly 14 million adults in the United States presenting with symptomatic osteoarthritis (OA) of the knee. Nerve radiofrequency ablation (RFA) is a nonsurgical procedure for the management of knee OA symptoms, and no previous systematic review has been performed comparing geniculate nerve RFA to other nonsurgical treatments. QUESTIONS/PURPOSES: (1) How does geniculate nerve RFA compare with other nonsurgical modalities for patients with knee OA about pain, function, quality of life, and composite scores? and (2) How does geniculate nerve RFA compare with other nonsurgical modalities for patients with knee OA about adverse events (AEs)? METHODS: A systematic literature review was conducted within PubMed, EMBASE, and Cochrane Central Register of Controlled Trials to identify all studies from 1966 to 2019 evaluating the relative effectiveness of geniculate nerve thermal (heated or cooled) RFA compared with other nonsurgical treatments for knee OA. Two independent abstractors reviewed and analyzed the literature including comparators such as intra-articular (IA) corticosteroids, IA hyaluronic acid, NSAIDs, acetaminophen (paracetamol), and control/sham procedures. Inclusion was based on the following criteria: English language, human subjects, symptomatic knee OA, and patient-reported outcomes. RESULTS: Five high-quality and two moderate-quality randomized controlled trials (RCTs) met the inclusion criteria for this review. The results showed consistent agreement across all RCTs in favor of geniculate nerve thermal RFA use for nonsurgical treatment of knee OA. One high-quality RCT and one moderate-quality RCT found geniculate nerve RFA to provide statistically significant outcome improvement compared with control or sham procedures regarding pain, function, quality of life, and composite scores. When compared with IA corticosteroids and hyaluronic acid, geniculate nerve RFA also provided notable improvement in pain, function, and composite scores (visual analog scale, Western Ontario, and McMaster Universities Arthritis Index, and Oxford Knee Score). RFA was markedly favored for all pain and composite outcomes (Western Ontario and McMaster Universities Arthritis Index and visual analog scale). The included RCTs did not report any serious AEs related to geniculate nerve RFA. DISCUSSION: These results demonstrate geniculate nerve thermal RFA to be a superior nonsurgical treatment of knee OA compared with NSAIDs and IA corticosteroid injections. None of the RCTs reported any serious AEs with geniculate nerve thermal RFA, as opposed to known cardiovascular, gastrointestinal, and renal AEs for NSAIDs and accelerated cartilage loss and periprosthetic infection risk for IA corticosteroid injections. LEVEL OF EVIDENCE: Level I.

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)0.008
metaresearch head score (Gemma)0.035
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 score0.009
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.008
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.323
Teacher spread0.291 · 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

Citations38
Published2020
Admission routes1
Has abstractyes

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