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Record W4406575380 · doi:10.36106/ijsr/2500538

COMPARISON OF CORTICOSTEROID AND PLATELET-RICH PLASMA (PRP) INJECTIONS FOR SYMPTOMATIC RELIEF IN KNEE OSTEOARTHRITIS: A RANDOMIZED CONTROLLED STUDY

2025· article· en· W4406575380 on OpenAlexaboutno aff
Harshit Jain, Ramdhan Narania

Bibliographic record

VenueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · 2025
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPlatelet-rich plasmaOsteoarthritisMedicineCorticosteroidRandomized controlled trialSurgeryAnesthesiaInternal medicinePlateletPathologyAlternative medicine

Abstract

fetched live from OpenAlex

Background: Osteoarthritis (OA) of the knee is a prevalent and disabling condition with limited long-term treatment options. This study evaluates the effectiveness of corticosteroid versus platelet-rich plasma (PRP) injections in alleviating pain and improving function in patients with knee OA. Methods: This randomized controlled trial included patients diagnosed with knee OA, divided into two treatment groups: corticosteroid injections and PRP injections. Visual Analog Scale (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were measured at baseline, 1 month, 3 months, 6 months, and 12 months post-treatment to assess pain and functional improvement. Incidence of adverse effects was also recorded. The PRP group demonstrated significantly lower VAS scores than the corticos Results: teroid group at each time interval (p<0.05). WOMAC scores were also improved in the PRP group, particularly by 6 and 12 months. Adverse effects were more frequent and severe in the corticosteroid group, with PRP showing a safer profile and more sustainable symptom relief. PRP i Conclusion: njections appear to offer superior, longer-term symptom relief for knee OA compared to corticosteroids, particularly for early-stage OA. Further research is recommended to optimize PRP administration and confirm long-term outcomes.

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)0.004
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
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 head0.050
GPT teacher head0.435
Teacher spread0.384 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCHSame topicPeriodontal Regeneration and TreatmentsFrench-language works237,207