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Record W2103261593 · doi:10.3138/ptc.59.4.286

Rehabilitation following Autologous Chondrocyte Implantation Surgery: Case Report Using an Accelerated Weight-Bearing Protocol

2007· article· en· W2103261593 on OpenAlexvenueno aff
Mary K. Allen, Michelle A. Wellen, David P. Hart, Ward M. Glasoe

Bibliographic record

VenuePhysiotherapy Canada · 2007
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRehabilitationAutologous chondrocyte implantationContinuous passive motionRange of motionWeight-bearingSurgeryVisual analogue scalePhysical therapyBraceOsteoarthritisArticular cartilage

Abstract

fetched live from OpenAlex

Purpose: This case report describes the rehabilitation of a patient following autologous chondrocyte implantation (ACI) surgery using an accelerated weight-bearing protocol. Method: The patient was a 40-year-old female who had undergone previous right knee surgical procedures, including meniscectomy and anterior cruciate ligament reconstruction, 2 years prior to receiving right knee ACI for a grade IV, 12 × 10 mm osteochondral lesion. The morning after implantation, 6 to 8 hours of daily continuous passive motion was started (0–45°), 33/d progressing 15°/d as tolerated to120°. Physical therapy began 1 week postsurgery; weight bearing was initiated with a three-point touch-down gait using a locked brace set at 0°. The rehabilitation programme is described, as well as measures of range of motion, active extension lag, knee joint line girth, visual analogue scale pain ratings, and Activities of Daily Living Scale scores of the Knee Outcome Survey. Results: All functional goals defined by the protocol and pertinent to the patient were met over a 17-week period. At discharge, only continued graft precautions limited the patient's perception of knee function. The patient reported 100% knee function at follow-up (30 months after surgery). Conclusion: The accelerated weight-bearing protocol described in this report allowed this patient to safely progress through rehabilitation with a full return to an active life.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.355
Teacher spread0.333 · 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 designBench or experimental
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

Citations11
Published2007
Admission routes1
Has abstractyes

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