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Record W4410998322 · doi:10.1530/eor-2025-0051

Patellar instability: current approach

2025· article· en· W4410998322 on OpenAlexaff
David Mazy, Tomás Pineda, Nicolas Cance, Michael J. Dan, Edoardo Giovannetti de Sanctis

Bibliographic record

VenueEFORT Open Reviews · 2025
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPatellaPatellofemoral jointMedicineTibial tuberosityValgusDeformityDysplasiaOrthodonticsInstabilityValgus deformityPatellar ligamentSurgeryPatellar tendonAnterior cruciate ligamentInternal medicinePhysics

Abstract

fetched live from OpenAlex

Patellar dislocations present predominantly during adolescence, with a higher incidence observed among female patients. Patellofemoral joint stability depends critically on both osseous anatomy and soft tissue structures. Patellofemoral pathology can be classified into three major groups: objective patellar instability OPI, potential patellar instability and painful patellar syndrome. Three primary risk factors predispose individuals to patellar dislocation: trochlear dysplasia, patella alta and increased tibial tuberosity-trochlear groove (TT-TG) distance. Three secondary risk factors should be considered: femoral and tibial rotational abnormalities and valgus deformity. MRI has become the imaging modality of choice, enabling precise quantification of OPI risk factors in a single imaging examination. The 'menu à la carte' approach guides the treatment of OPI by addressing the most relevant anatomical risk factors for each patient using statistical thresholds.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0120.007

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 head0.060
GPT teacher head0.315
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations14
Published2025
Admission routes1
Has abstractyes

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