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Record W4394767217 · doi:10.36076/ppj.2024.27.121

Ultrasound-Guided Radiofrequency Ablation for Chronic Osteoarthritis Knee Pain in the Elderly: A Randomized Controlled Trial

2024· article· en· W4394767217 on OpenAlexaboutno aff

Bibliographic record

VenuePain Physician · 2024
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisRadiofrequency ablationRandomized controlled trialPulsed radiofrequencyUltrasoundChronic painPhysical therapyAblationSurgeryRadiologyPain reliefInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Osteoarthritis of the knee (KOA) is the main cause of disability in elderly people. Patients with KOA may often not achieve adequate pain control even after receiving all treatment modalities. OBJECTIVES: The objective of this study was to examine the efficacy of ultrasound-guided radiofrequency ablation (RFA) as a treatment for moderate and severe KOA. STUDY DESIGN: A prospective randomized controlled study. SETTING: The study was performed in the National Pain Management and Research Center of China-Japan Friendship Hospital. METHODS: Eligible participants were over 50 years old and had suffered from chronic knee joint pain for more than 6 months, scoring at least 4 on a numeric rating scale (NRS) and grade III-IV according to the Kellgren-Lawrence classification system. The target nerve selection principle was as follows: the superomedial genicular nerve (SMGN) branch and inferior medial genicular nerve (IMGN) branch of the saphenous nerve for medial knee pain, the superolateral genicular nerve (SLGN) branch of the femoral nerve for lateral pain, and the SMGN, IMGN, and SLGN branches for total knee pain. The main outcomes were the NRS pain score (including the most severe pain), the average pain, and the proportion of patients who had reached pain reduction of more than 2 points. The secondary outcome was the Western Ontario McMaster University Osteoarthritis Index (WOMAC) score. RFA at 70ºC was performed for 120 seconds per patient in the RFA group, and knee nerve blocks were performed in the control group. RESULTS: A total of 120 patients who met the inclusion criteria were selected in this study. The treatment groups showed significant differences in their mean NRS scores and worst pain during the first, third, and sixth months after treatment. There were significant differences in the mean WOMAC pain, physical function, and total scores between the treatment groups and over time. Between the treatment groups and over time, the mean WOMAC stiffness scores were not different. At each time point after treatment, the proportion of patients who needed analgesic drugs was significantly lower in the RFA group than in the control group. Univariate analysis showed that gender, age, pain course, and body mass index were not significantly correlated with the positive rate (NRS >= 2 score reduction). After we adjusted for multiple factors, the perceived beneficial effect of therapy was less when gonarthritis was more severe (P < 0.01). LIMITATION: This study's limitation is that it was performed in only one unit of the National Pain Management and Research Center. CONCLUSIONS: Ultrasound-guided RFA applied to knee nerves can significantly reduce KOA pain, improve knee joint function, improve patient satisfaction, and provide a feasible, safe, and effective minimally invasive procedure for moderate to severe KOA in elderly patients.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.270
Teacher spread0.259 · 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 designRandomized trial
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

Citations12
Published2024
Admission routes1
Has abstractyes

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