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Nonsteroidal Anti-inflammatory Drugs vs Cognitive Behavioral Therapy for Arthritis Pain

2020· article· en· W3042806574 on OpenAlexaboutno aff
Liana Fraenkel, Eugenia Buta, Lisa G. Suter, Maureen Dubreuil, Charles E. Levy, Catherine Najem, Matthew Brennan, Barbara Corn, Robert D. Kerns, Joseph L. Goulet

Bibliographic record

VenueJAMA Internal Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsnot available
FundersNational Center for Advancing Translational Sciences
KeywordsMedicineOsteoarthritisWOMACPhysical therapyMeloxicamPlaceboRandomized controlled trialInternal medicineAlternative medicine

Abstract

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Importance: Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly prescribed for knee osteoarthritis. However, they are associated with uncertain long-term clinical benefit and significant toxic effects. Objective: To evaluate whether discontinuing NSAIDs and engaging in a telephone-based cognitive behavioral therapy (CBT) program is noninferior to continuing NSAIDs for patients with knee osteoarthritis. Design, Setting, and Participants: The Stopping NSAIDs for Arthritis Pain multicenter randomized withdrawal trial was conducted for 364 patients taking NSAIDs for knee osteoarthritis pain on most days of the week for at least 3 months between September 1, 2013, and September 30, 2018. Analysis was performed on an intent-to-treat basis. Interventions: Participants discontinued their current NSAID and took 15 mg per day of meloxicam daily during a 2-week run-in period. Those who remained eligible were randomized in a 1:1 ratio to receive meloxicam or placebo for 4 weeks (blinded phase 1). Participants receiving meloxicam then continued this medication for 10 weeks, while those receiving placebo participated in a 10-week CBT program (unblinded phase 2). Main Outcomes and Measures: The primary outcome measure was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain score at 4 weeks with the noninferiority margin set at 1. Secondary outcomes included the area under the curve of the pain score after 4 weeks as well as the WOMAC pain score, area under the curve of the pain score, WOMAC disability score, and global impression of change after treatment at 14 weeks. Results: A total of 180 participants (161 men; mean [SD] age, 58. 2 [11.8] years) were randomized to receive placebo followed by CBT, and a total of 184 participants (154 men; mean [SD] age, 58.5 [10.0] years) were randomized to receive meloxicam. After adjustment for baseline pain and study site, the estimated mean difference in WOMAC pain score between the placebo and meloxicam groups after 4 weeks was 1.4 (95% CI, 0.8-2.0; noninferiority test P = .92). At week 14, the adjusted mean difference in WOMAC pain score between the placebo (followed by CBT) and meloxicam groups was 0.8 (95% CI, 0.2-1.4; noninferiority P = .28). There was no statistically significant difference in the global impression of change (mean difference in scores, -0.2; 95% CI, -0.4 to 0.1; P = .15) or lower extremity disability (mean difference in scores, 0.9; 95% CI, -1.4 to 3.2; P = .45) between the 2 groups after 14 weeks. Conclusions and Relevance: Among patients with knee osteoarthritis, placebo and CBT (after placebo) are inferior to meloxicam. However, the WOMAC pain score differences between the 2 groups were small, and there were no statistically significant differences in participants' global impression of change or function after 14 weeks. Trial Registration: ClinicalTrials.gov Identifier: NCT01799213.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.021
GPT teacher head0.296
Teacher spread0.275 · 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 designNon-randomized 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

Citations26
Published2020
Admission routes1
Has abstractyes

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