MétaCan
Menu
Back to cohort
Record W2096040183 · doi:10.1097/jsa.0b013e3181bf6668

Evolving Concepts in Tunnel Placement

2009· review· en· W2096040183 on OpenAlexaff
Emilio López-Vidriero, Donald H. Johnson

Bibliographic record

VenueSports Medicine and Arthroscopy Review · 2009
Typereview
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsUniversity of OttawaCarleton UniversityOttawa Hospital
Fundersnot available
KeywordsMedicineAnterior cruciate ligamentKinematicsOrthodonticsArthroscopyAnterior Cruciate Ligament InjuriesSurgeryPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Tunnel placement in anterior cruciate ligament reconstruction has continued to evolve over time. The aim of this article is to review this evolution and comment on the senior author's current preferred technique. Initially, tunnels were dependent on the technique available, and isometry was felt to be important. Now, trying to reproduce the anatomy is preferred. Surgical technique has evolved from open surgery, with large anterior approaches, to arthroscopic two-incision outside-in techniques. After that, the evolution has led to the transtibial technique with one incision, then back to two incisions using the anteromedial portal, and finally, no incisions with the "all-inside technique." Anatomic, biomechanical, and clinical studies have shown that using the footprint as the site for tunnels restores the native anterior cruciate ligament kinematics and controls not only anteroposterior translation, but also rotational motion. Surgeons should evolve their techniques, as science does, to improve results and give better care to their patients.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0010.005
Scholarly communication0.0030.007
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.002

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 head0.040
GPT teacher head0.411
Teacher spread0.371 · 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

Citations34
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueSports Medicine and Arthroscopy ReviewSame topicKnee injuries and reconstruction techniquesFrench-language works237,207