MétaCan
Menu
Back to cohort
Record W3195914717 · doi:10.37506/ijfmt.v15i3.15748

The Effect of Atorvastatin in Knee Osteoarthritis

2021· article· en· W3195914717 on OpenAlexaboutno aff
Eman Mohammed Jasim

Bibliographic record

VenueIndian Journal of Forensic Medicine & Toxicology · 2021
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtorvastatinOsteoarthritisWOMACInternal medicinePlaceboRheumatologyRandomized controlled trialGastroenterologyPhysical therapyPathology

Abstract

fetched live from OpenAlex

The aim of this, randomized, double-blind, placebo-controlled study is to evaluate the effect of using 40mg atorvastatin on the progression of joint structural changes and symptoms over 3months in Iraqi patients with symptomatic knee osteoarthritis.This study was performed at Department of Rheumatology, Baghdad Teaching Hospital during the period from September 2020 to January 2021.A total of 44 patients with knee osteoarthritis were assigned to the placebo group (n=21) and atorvastatin group (n=23)that was received atorvastatin 40mg once daily. Both groups received etoricoxib tablets 60mg as a rescue medicine on need. Both groups were treated continuously for 12 weeks.Serum levels of C-terminal telopeptide of type II collagen CTXII, high sensitive c-reactive protein HS-CRP and Western Ontario and McMaster Universities Osteoarthritis Index WOMAC was measured before and after three months of treatment.Resultsshowed that after three months of treatment, the atorvastatin group showeda significant symptomatic improvement in total WOMAC scoring (P<0.0001) associated with a significant reduction (P<0.001) in serum CTXII, HS-CRP level.These results confirmed that the atorvastatin treatment in patients with knee osteoarthritis has clinical efficacy in reducing symptoms through the improvement of WOMAC index and reduction of serum level of CTXII and HS-CRP. In conclusions: Atorvastatin in a dose of 40mg daily can reduce the symptoms of 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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.009
GPT teacher head0.284
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIndian Journal of Forensic Medicine & ToxicologySame topicRheumatoid Arthritis Research and TherapiesFrench-language works237,207