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Record W4400805443 · doi:10.22491/2357-9730.128729

Should duloxetine be added to exercise to treat sedentary patients with painful knee osteoarthritis? A pilot study.

2023· article· en· W4400805443 on OpenAlexaboutno aff
Rafael Mendonça da Silva Chakr, Rafaela Cavalheiro do Espírito Santo, Leonardo Peterson dos Santos, Kaleb Pinto Spannenberger, Marielle Moro da Silva, Mateus Espíndola de Moraes, Julia Bueno, Paula Schoproni Cardoso, Andrese Aline Gasparin, Vanessa Hax

Bibliographic record

VenueClinical & Biomedical Research · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsDuloxetineMedicineOsteoarthritisWOMACPlaceboPhysical therapyKnee painVisual analogue scaleClinical endpointPhysical medicine and rehabilitationRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

Introduction: In knee osteoarthritis patients that benefit from chronic pain management and physical activity, the additional impact of duloxetine over and above exercise is yet to be determined. Our goal was to study the effects of duloxetine on muscle mass, strength, physical performance, pain, stiffness and physical function in sedentary patients with painful knee osteoarthritis treated with a home-based exercise (HE) program. Methods: Adults with painful knee osteoarthritis and lower physical performance were assigned to receive duloxetine (60mg/d) or placebo, in addition to HE therapy. The primary endpoint was the difference in short physical performance battery (SPPB) between groups at week 12. Secondary endpoints included 12-week changes in muscle mass by dual-energy X-ray absorptiometry (appendicular skeletal muscle mass index – ASMI), strength by handgrip (HG) and knee extension (KE) maximal isometric voluntary contraction, pain by visual analog scale (VAS) and pain, stiffness and physical function by Western Ontario McMaster Universities (WOMAC) questionnaire. Results: Twenty-four participants were included. After 12 weeks, HE+duloxetine showed no benefit in SPPB when compared to HE+placebo (p=0.456) and both groups significantly improved SPPB when compared to baseline [HE+duloxetine: 1.52 (95%CI 0.53 to 2.51); HE+placebo: 2.00 (95%CI 1.23 to 2.77)]. Both groups significantly improved WOMAC, with no differences between them (p=0.389). Only HE+duloxetine group improved pain VAS [-2.26cm (95%CI -4.08 to -0.44)], while only HE+placebo group improved ASMI [0.4Kg/m2 (95%CI 0.0 to 0.9)] and KE strength [11.8Kg (95%CI 4.3 to 19.2)]. HE+duloxetine group performed less minutes of exercise than HE+placebo group (310 vs. 692, p=0.015). Adverse events rates were similar between groups. Conclusions: Duloxetine did not additionally improve physical performance, pain, stiffness and physical function of patients with lower physical performance and painful KOA treated with exercise. Muscle mass and muscle strength gains were only observed in the placebo group perhaps due to greater exercise adherence, but larger studies are needed to address this hypothesis.

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)0.002
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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.167
GPT teacher head0.482
Teacher spread0.316 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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