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Record W4403297847 · doi:10.1080/15360288.2024.2384968

Topical Formulation of Tramadol 5% in the Management of Osteoarthritis of the Knee: A Double-Blind, Randomized, Prospective, Placebo-Controlled Clinical Trial

2024· article· en· W4403297847 on OpenAlexaboutno aff
Shahram Ala, Parisa Pakzadeh, Mahila Monajati, Reza Enayatifard, Afshin Shiva, Adeleh Sahebnasagh

Bibliographic record

VenueJournal of Pain & Palliative Care Pharmacotherapy · 2024
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACMedicineTramadolPlaceboVisual analogue scaleDiclofenacRandomized controlled trialAcetaminophenKnee painAnesthesiaPhysical therapyAnalgesicSurgery

Abstract

fetched live from OpenAlex

The goal of the present study was to evaluate the efficacy of topical tramadol in the management of knee osteoarthritis pain. Sixty patients with moderate to severe pain of knee osteoarthritis were enrolled. Patients were randomized to receive tramadol 5% or placebo along with oral diclofenac 100 mg/day. They were instructed to apply the ointment every 12 h on the knee for three weeks. To control breakthrough pain, the patients were allowed to take acetaminophen up to 650 mg per day. The measured variables were Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Visual Analog Scale (VAS). Sixty patients completed the study. At the end of follow-up period, VAS decreased by 21% (from 7.2 ± 2.1 to 5.7 ± 2.4, p-value < 0.05) and WOMAC score decreased by 23% (from 49.6 ± 17.4 to 38.4 ± 18.1, p-value < 0.05) in intervention group. Topical tramadol was significantly effective in reducing the intensity of pain and osteoarthritis symptoms in comparison to placebo considering VAS (5.7 ± 2.4 vs. 8.0 ± 2.9, p-value = 0.001) and WOMAC score (38.4 ± 18.1 vs. 46.0 ± 18.6, p-value = 0.007). Topical tramadol 5% appears to be effective in moderate to severe knee osteoarthritis pain.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.015
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.105
GPT teacher head0.441
Teacher spread0.336 · 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 teacher head, 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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