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Record W4417154421 · doi:10.1002/pmrj.134_70065

Mediterranean Diet and Sports Injury Prevention: A Systematic Review

2025· review· en· W4417154421 on OpenAlexaboutno aff

Bibliographic record

VenuePM&R · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMediterranean climateMediterranean dietInjury preventionPoison controlSports injuryMEDLINEOccupational safety and health

Abstract

fetched live from OpenAlex

502 patients underwent LP-PRP injection, and 481 patients underwent HA injection.Interventions: An experimental group that received intra-articular LP-PRP injection and a control group that received intra-articular HA injection.Main Outcome Measures: Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores (WOMAC total, pain, stiffness, and physical function scores); Visual Analog Scale (VAS) scores, EQ-VAS scores, International Knee Documentation Committee (IKDC) scores, and adverse events were used as outcome measurements to evaluating the efficacy of LP-PRP and HA treatment.Results: After screening 377 potential articles, 12 RCTs were enrolled in this systemic review and meta-analysis.The WOMAC total scores and WOMAC physical function scores of the LP-PRP group were better than those of the HA group at 6 and 12 months.VAS scores of the LP-PRP group were better than those of the HA group at 3, 6, and 12 months.The LP-PRP group have a better outcome of IKDC scores than the HA group at 6 months.There was no significant difference in adverse events between the LP-PRP and HA groups.Conclusions: Intra-articular injections of LP-PRP showed better overall outcomes, such as WOMAC total scores, WOMAC physical function scores, and IKDC scores, compared to HA for knee osteoarthritis adult patients at short-term and long-term follow-up periods.Also, LP-PRP showed better short-term and long-term pain relief compared to HA. Intra-articular LP-PRP improves pain relief and overall outcomes in knee osteoarthritis patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.547
Threshold uncertainty score0.853

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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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 designSystematic review
Domainnot available
GenreReview

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

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