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Record W4210464789 · doi:10.1515/jbcpp-2021-0255

Analgesic effect of curcumin topical formulation in knee osteoarthritis patients: a clinical trial

2022· article· en· W4210464789 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Basic and Clinical Physiology and Pharmacology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsnot available
FundersHamadan University of Medical Sciences
KeywordsMedicineWOMACOsteoarthritisDiclofenacCurcuminVisual analogue scaleAnalgesicAnesthesiaPharmacologyAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to recognize the efficacy and safety of curcumin ointment on patients with knee osteoarthritis (OA) compare to diclofenac as standard medication. METHODS: The topical effects of curcumin (10%) and diclofenac (1%) ointments were assessed through the visual analog scale (VAS) and Western Ontario and McMaster Universities Arthritis (WOMAC) index after three times a day administration for two weeks in 60 patients. RESULTS: Desirable effects compared to the pre-treatment period were observed after two weeks of continuous treatment. Based on our results, VAS and WOMAC index were altered after treatment significantly (p<0.0001). CONCLUSIONS: Two-week use of curcumin ointment could ameliorate the pain, stiffness and function disability in patients with OA.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.369
Teacher spread0.352 · 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