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Record W4206914800 · doi:10.5397/cise.2021.00486

Platelet-rich plasma versus corticosteroid injections for rotator cuff tendinopathy: a comparative study with up to 18-month follow-up

2022· article· en· W4206914800 on OpenAlexaboutno aff
Juho Aleksi Annaniemi, Jüri Pere, Salvatore Giordano

Bibliographic record

VenueClinics in Shoulder and Elbow · 2022
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePlatelet-rich plasmaRotator cuffTendinopathySurgeryAdverse effectVisual analogue scaleCorticosteroidRange of motionRotator cuff injuryCuffInternal medicineTendonPlatelet

Abstract

fetched live from OpenAlex

BACKGROUND: Given the complications involved in corticosteroid (CS) injections, subacromial platelet-rich plasma (PRP) injections may provide a valid alternative to CS in the treatment of rotator cuff (RC) tendinopathy. METHODS: We retrospectively reviewed a total of 98 patients affected by RC tendinopathy who were treated with either subacromial injection of PRP or CS. The PRP group received three injections of autologous PRP at 2 weeks interval, and the CS group received one injection of CS. The Western Ontario Rotator Cuff Index (WORC) was the primary outcome measure, while the secondary outcome measures were the visual analog scale (VAS), range of motion (ROM), and need for cuff repair surgery, which were analyzed at intervals of 6, 12, and 18 months. RESULTS: A total of 75 patients were included in the analysis (PRP, n=35; CS, n=40). The mean follow-up for PRP was 21.1±8.7 months and for CS was 33.6±16.3 months (p<0.001). Both groups showed improvement in WORC, VAS, and ROM. No significant differences were detected between the two groups in any of the primary (WORC) or secondary outcomes over 6, 12, and 18 months (all p>0.05). No adverse events were detected. CONCLUSIONS: Both treatments improved patient symptoms, but neither resulted in a significantly better outcome in this series of patients. PRP can be a safe and feasible alternative to CS, even at long-term follow-up, to reduce local and systemic effects involved with CS injections.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.100
GPT teacher head0.402
Teacher spread0.302 · 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.

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

Citations21
Published2022
Admission routes1
Has abstractyes

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