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Record W4403909210 · doi:10.1016/j.jcot.2024.102789

Rehabilitation from delayed bilateral complete quadriceps tendon repairs with knee extension assist braces: A case report

2024· article· en· W4403909210 on OpenAlexaff
Benjamin Hewins, Sara Sparavalo, Ivan Wong

Bibliographic record

VenueJournal of Clinical Orthopaedics and Trauma · 2024
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineRehabilitationQuadriceps tendonPhysical medicine and rehabilitationTendonExtension (predicate logic)Physical therapySurgery

Abstract

fetched live from OpenAlex

Simultaneous bilateral quadriceps tears are rare with fewer than 150 cases reported in the literature and typically occur in male patients greater than 40 years of age. If left untreated or with delayed clinical intervention, these injuries often lead to chronic disability including pain and reduced ambulation. Typical treatments include surgical repair with considerable post-operative rehabilitation and a guarded prognosis. However, given the scarcity of these cases, a consensus on a standard course of treatment remains unclear and ultimately at the discretion of the clinician. A 67-year-old male presented 6-months after complete, retracted tears of bilateral quadriceps tendons after a fall onto both knees in flexion. Treatment included: immediate bilateral quadriceps tendon repairs, immobilization, physiotherapy, and the daily use of novel tri-compartment offloader knee braces providing knee-extension assist. To our knowledge, this is the first report of a full return to independent ambulation following a delayed diagnosis and surgical intervention of complete bilateral quadriceps tendon tears.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.003
Science and technology studies0.0050.004
Scholarly communication0.0030.003
Open science0.0040.003
Research integrity0.0120.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.044
GPT teacher head0.368
Teacher spread0.324 · 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 designCase report
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
Published2024
Admission routes1
Has abstractno

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