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Record W2914755002

Use of platelet rich plasma with exercisesin the treatment of Knee Osteoarthritis

2017· article· en· W2914755002 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

VenueRawal Medical Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisPlatelet-rich plasmaSupine positionPhysical therapyRange of motionSurgeryInternal medicinePlateletAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective: To determine the effects of platelet-rich plasma (PRP) and exercises in a group of patients with grade 3 osteoarthritis of knee. Methodology: In this pre and post interventional study, 29 patients with grade 3 osteoarthritis of knee were injected PRP under sterile conditions with a 22 G needle using a lateral approach while the patient was lying in supine position and the knee was flexed at 90o. Exercise training program (active and passive range of motion, stretching of tight structures, isometrics, and deep breathing exercises) was given four weeks before and eight weeks after PRP injection. Evaluation was conducted before the procedure and three and six months post treatment with Modified Hospital for Special Surgery Knee Scoring System (HSS) and the Western Ontario and McMaster Universities Arthritis Index (WOMAC). Results: All 29 completed the follow-up. There were 5 Male and 24 Female patients. Mean of age was 57.38 years. HSS and WOMAC Scores were significantly better than pre injection scores during the follow-up period (p

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.311
Teacher spread0.273 · 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