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Record W4313554863 · doi:10.1142/s0218957723500021

EFFECTIVE NONSURGICAL MANAGEMENT OF EARLY OSTEOARTHRITIS OF THE KNEE JOINT IN A TERTIARY CARE HOSPITAL — A PROSPECTIVE SINGLE-BLIND RANDOMIZED COMPARATIVE STUDY

2023· article· en· W4313554863 on OpenAlexaboutno aff
Mruthyunjaya Mruthyunjaya, Sumith Pal Singh, Srikanth Sundaresh, T. Adarsh

Bibliographic record

VenueJournal of Musculoskeletal Research · 2023
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisSurgeryRandomized controlled trialConservative treatmentProspective cohort studyKnee JointWrist

Abstract

fetched live from OpenAlex

Purpose: Osteoarthritis (OA) is a complex disease of joints presenting with pain, swelling, stiffness, crepitus, deformation and limitation of function. There are both conservative and surgical modes of treatment for OA. This study is done to compare the therapeutic efficacy of intra-articular ozone, platelet-rich plasma (PRP) and 25% dextrose in the treatment of OA of the knee joint in early stages. Methods: A total of 120 patients with symptomatic Kellgren and Lawrence grade 2 and 3 of knee OA were studied. They were randomized into three groups and each group received three doses of intra-articular injections of either ozone or PRP or 25% dextrose at intervals of 2 weeks. Patients were advised physiotherapy and analgesics were avoided. Western Ontario and McMaster Universities Arthritis Index and Visual Analog Score for pain were used to evaluate the clinical outcomes for 6 months. Results: Ozone provided significant relief from pain and improved functionality but was short-lived. PRP and 25% dextrose results were slower initially but gave better results for a longer duration. Conclusion: Conservative treatment with intra-articular injections has promising results in the treatment of OA. This can be used in patients who are not willing or not fit for surgery.

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)0.007
metaresearch head score (Gemma)0.002
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 score0.277
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.057
GPT teacher head0.397
Teacher spread0.340 · 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 designObservational
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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