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Record W3180029081

Effect of Genicular Nerve Radiofrequency Ablation for Knee Osteoarthritis: A Retrospective Chart Review.

2021· article· en· W3180029081 on OpenAlexaboutno aff
Brody Fitzpatrick, Matthew Cowling, Michelle Poliak‐Tunis, Kathryn Miller

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisPhysical therapyRadiofrequency ablationKnee painChartSurgeryAblationAlternative medicineInternal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Genicular nerve block and radiofrequency ablation improve pain and function in patients with knee osteoarthritis. We aimed to evaluated the efficacy of these procedures and to identify factors predicting outcomes. METHODS: We conducted a chart review of 18 patients referred for these procedures from our clinic. Pain scores were collected before and after the procedure and at a follow-up visit. Functional measures were recorded before the procedure. RESULTS: Both procedures reduced pain in the post-procedure and follow-up settings, and the Western Ontario and McMaster Universities Osteoarthritis Index correlated with the paired differences of pre- and follow-up pain scores. DISCUSSION: These procedures provided significant pain relief, and the Western Ontario and McMaster Universities Osteoarthritis Index may help identify appropriate candidates for these procedures.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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