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Record W2167295800 · doi:10.1016/j.arthro.2008.01.002

High Failure Rate for Electrothermal Shrinkage of the Lax Anterior Cruciate Ligament: A Multicenter Follow‐up Past 2 Years

2008· article· en· W2167295800 on OpenAlexaff
Derek B. Smith, Thomas R. Carter, Donald H. Johnson

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2008
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsCarleton UniversityRoyal Inland Hospital
Fundersnot available
KeywordsMedicineShrinkageMulticenter studyAnterior cruciate ligamentSurgeryCruciate ligamentLigamentRandomized controlled trialComposite materialMaterials science

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study was to prospectively evaluate the midterm results (beyond 2 years) of thermal shrinkage on both lax native anterior cruciate ligament (ACL) and lax reconstructions and determine the effectiveness of this procedure. METHODS: This is a multicenter study in which 64 patients from 2 sites underwent electrothermal shrinkage for a lax ACL, both native and previous reconstructions. They were followed up past 2 years with KT-1000 measurements (MEDmetric, San Diego, CA). Failure criteria included subsequent operations for instability or KT-1000 measurements greater than 5 mm. Three patients were lost to follow-up. RESULTS: Among the 61 patients followed up past 2 years, failure occurred in 31 (50.8%). The failure rate for lax grafts alone was 78.9%, and there was a failure rate of 38.1% for lax native ligaments. CONCLUSIONS: Electrothermal shrinkage of lax native or reconstructed ACLs is not an appropriate treatment.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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 designObservational
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

Citations14
Published2008
Admission routes1
Has abstractyes

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