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The Short-term Effect of Consecutive Platelet-rich Plasma Injections on Chronic Pain in Knee Osteoarthritis

2022· article· en· W4289887116 on OpenAlexaboutno aff
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Bibliographic record

VenueForbes Journal of Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicinePlatelet-rich plasmaAnesthesiaChronic painPlateletSurgeryInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Objective: Osteoarthritis (OA) is a joint disease that occurs because of various reasons that cause the imbalance between destruction and repair in the joint cartilage and subchondral bone. The purpose of platelet-rich plasma (PRP) in knee OA is to increase cartilage regeneration owing to the growth factors it contains. This study measured the short-term efficacy of consecutive PRP injections in patients with OA of the knee. Methods: Patients with Kellgren-Lawrence (KL) stage 2-4 knee OA were included in the study. Three sessions of PRP injections at 2-week intervals were applied to 78 knees of 55 patients. The visual analog scale was used on day 0, week 4 and week 16 to assess pain. Additionally, the functional status was measured by Western Ontario and McMaster Universities OA index which contains pain, stiffness and disability sub-scores. Results: Of the 55 patients, 45 were female. The mean age was 59.49.4 years. A total of 22 patients had bilateral knee involvement, and 51 of the 78 knee joints were classified as KL grade 3-4 OA and the other 27 knee joints were classified as KL grade 2. Conclusion: It was shown that PRP injection was effective on pain and limitation of movement in knee OA for 16 weeks. Also, it has been noted that early injections provide a more significant reduction in pain in knee 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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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
Published2022
Admission routes1
Has abstractyes

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