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Record W4396814423 · doi:10.1016/j.jcjp.2024.100198

Concomitant procedures for knee cartilage injuries—an international Delphi consensus statement

2024· article· en· W4396814423 on OpenAlexaff
Lucy E. Meyer, Eoghan T. Hurley, Richard M. Danilkowicz, Erin F. Alaia, Jonathan F. Dickens, Joao Espregueria-Mendes, Alan Getgood, Lutul D. Farrow, Volker Musahl, Adam B. Yanke, Seth L. Sherman

Bibliographic record

VenueJournal of Cartilage & Joint Preservation · 2024
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsFowler Kennedy Sport Medicine Clinic
Fundersnot available
KeywordsStatement (logic)ConcomitantDelphiDelphi methodMedicineCartilageComputer sciencePolitical scienceSurgeryArtificial intelligenceAnatomyLaw

Abstract

fetched live from OpenAlex

Introduction Articular cartilage injuries of the knee are a complex and challenging clinical pathology. Objectives The purpose of this study was to establish consensus statements via a Delphi process on concomitant procedures for knee cartilage injuries. Methods A consensus process on knee cartilage injuries utilizing a modified Delphi technique was conducted. Seventy-nine surgeons across 17 countries participated in these consensus statements. Twelve questions were generated on concomitant procedures, with 3 rounds of questionnaires and final voting occurring. Consensus was defined as achieving 80% to 89% agreement, whereas strong consensus was defined as 90% to 99% agreement, and unanimous consensus was defined as 100% agreement with a proposed statement. Results Of the 12 total questions and consensus statements on concomitant procedures developed from 3 rounds of voting, 0 achieved unanimous consensus, 5 achieved strong consensus, 5 achieved consensus, and 2 did not achieve consensus. Conclusions The statements achieving consensus were primarily related to the tibiofemoral joint, meniscal insufficiency, and ligamentous stability. Concomitant procedures, including osteotomy, meniscal repair or transplantation, and ligamentous repair or reconstruction, should be performed with cartilage procedures for the most optimal outcome. The statements that did not reach consensus were related to the patellofemoral joint and unloading osteotomies in patients with normal alignment.

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)0.001
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 score0.135
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.040
GPT teacher head0.323
Teacher spread0.283 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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