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Record W4415567643 · doi:10.1177/19386400251374916

Ultrasound-Guided Platelet-Rich Plasma Injection for a Medial Collateral Ligament Partial Tear of the First Metatarsophalangeal Joint

2025· article· en· W4415567643 on OpenAlexaff
Alexandre Lavigne, Scott Draper, Peter A. Everts, Kendra Hollman-Gage, Jason Khadavi, Luga Podesta, Stephanie Shull, Michael Khadavi

Bibliographic record

VenueFoot & Ankle Specialist · 2025
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsTearsMedial collateral ligamentConservative managementConservative treatmentValgusLigamentMetatarsophalangeal jointsAthletes

Abstract

fetched live from OpenAlex

The medial collateral ligament (MCL) of the first metatarsophalangeal (MTP) joint is key in maintaining joint stability and function. Evidence-based conservative management strategies for partial tears of the first MTP MCL are lacking. Historically, athletes experiencing persistent pain despite conservative management have required surgical intervention as the next step. In this case, a 34-year-old principal ballet dancer with a partial proximal MCL tear of the first MTP joint failed to improve with conservative treatment, including physical therapy. Treatment with leukocyte-rich platelet-rich plasma to the injured MCL and leukocyte-poor platelet-rich plasma to the first MTP joint was pursued, leading to an improvement of valgus laxity from 5.5 to 3.0 mm on dynamic ultrasound assessments. A full return to dance was achieved at 12 weeks post-injection, and the patient remained symptom-free at 22-month follow-up.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.624

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 head0.023
GPT teacher head0.280
Teacher spread0.257 · 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 designNot applicable
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

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