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Record W4319058176 · doi:10.1177/03635465231151389

Meniscal and Articular Cartilage Predictors of Outcome After Revision ACL Reconstruction: A 6-Year Follow-up Cohort Study

2023· article· en· W4319058176 on OpenAlexaffabout
Rick W. Wright, Laura J. Huston, Amanda K. Haas, Jacquelyn S. Pennings, Christina R. Allen, Daniel E. Cooper, Thomas M. DeBerardino, Warren R. Dunn, Brett A. Lantz, Kurt P. Spindler, Michael J. Stuart, John P. Albright, Annunziato Amendola, Jack T. Andrish, Christopher C. Annunziata, Robert A. Arciero, Bernard R. Bach, Champ L. Baker, Arthur R. Bartolozzi, Keith M. Baumgarten, Jeffery R. Bechler, Jeffrey H. Berg, Geoffrey A. Bernas, Stephen F. Brockmeier, Robert H. Brophy, Charles A. Bush‐Joseph, J. Brad Butler, John Campbell, James L. Carey, James E. Carpenter, Brian J. Cole, Jonathan M. Cooper, Charles L. Cox, R. Alexander Creighton, Diane L. Dahm, Tal S. David, David C. Flanigan, Robert W. Frederick, Theodore J. Ganley, Elizabeth A. Garofoli, Charles J. Gatt, Steven R. Gecha, J. Robert Giffin, Sharon L. Hame, Jo A. Hannafin, Christopher D. Harner, Norman Lindsay Harris, Keith S. Hechtman, Elliott B. Hershman, Rudolf G. Hoellrich, David C. Johnson, Timothy S. Johnson, Morgan H. Jones, Christopher C. Kaeding, Ganesh V. Kamath, Thomas E. Klootwyk, Bruce A. Levy, C. Benjamin, G. Peter Maiers, Robert G. Marx, Matthew J. Matava, Gregory M. Mathien, David R. McAllister, Eric C. McCarty, Robert G. McCormack, Bruce S. Miller, Carl W. Nissen, Daniel F. O’Neill, Brett D. Owens, Richard D. Parker, Mark L. Purnell, Arun J. Ramappa, Michael A. Rauh, Arthur C. Rettig, Jon K. Sekiya, Kevin G. Shea, Orrin H. Sherman, James R. Slauterbeck, Matthew V. Smith, Jeffrey T. Spang, LTC Steven J. Svoboda, Timothy N. Taft, Joachim J. Tenuta, Edwin M. Tingstad, Armando F. Vidal, Darius G. Viskontas, Richard A. White, James S. Williams, Michelle L. Wolcott, Brian R. Wolf, James J. York

Bibliographic record

VenueThe American Journal of Sports Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsRoyal Columbian HospitalUniversity of British ColumbiaFowler Kennedy Sport Medicine ClinicFraser HealthWestern University
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of HealthAmerican Orthopaedic Society for Sports MedicineCleveland Clinic
KeywordsMedicineMedial meniscusOsteoarthritisWOMACMeniscusAnterior cruciate ligamentPatellaLateral meniscusSurgeryOrthopedic surgeryCondyleCartilageAnterior cruciate ligament reconstructionAnatomyPathologyIncidence (geometry)

Abstract

fetched live from OpenAlex

Background: Meniscal and chondral damage is common in the patient undergoing revision anterior cruciate ligament (ACL) reconstruction. Purpose: To determine if meniscal and/or articular cartilage pathology at the time of revision ACL surgery significantly influences a patient’s outcome at 6-year follow-up. Study Design: Cohort study; Level of evidence, 3. Methods: Patients undergoing revision ACL reconstruction were prospectively enrolled between 2006 and 2011. Data collection included baseline demographics, surgical technique, pathology, treatment, and scores from 4 validated patient-reported outcome instruments: International Knee Documentation Committee (IKDC), Knee injury and Osteoarthritis Outcome Score (KOOS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Marx Activity Rating Scale. Patients were followed up at 6 years and asked to complete the identical set of outcome instruments. Regression analysis assessed the meniscal and articular cartilage pathology risk factors for clinical outcomes 6 years after revision ACL reconstruction. Results: An overall 1234 patients were enrolled (716 males, 58%; median age, 26 years). Surgeons reported the pathology at the time of revision surgery in the medial meniscus (45%), lateral meniscus (36%), medial femoral condyle (43%), lateral femoral condyle (29%), medial tibial plateau (11%), lateral tibial plateau (17%), patella (30%), and trochlea (21%). Six-year follow-up was obtained on 79% of the sample (980/1234). Meniscal pathology and articular cartilage pathology (medial femoral condyle, lateral femoral condyle, lateral tibial plateau, trochlea, and patella) were significant drivers of poorer patient-reported outcomes at 6 years (IKDC, KOOS, WOMAC, and Marx). The most consistent factors driving outcomes were having a medial meniscal excision (either before or at the time of revision surgery) and patellofemoral articular cartilage pathology. Six-year Marx activity levels were negatively affected by having either a repair/excision of the medial meniscus (odds ratio range, 1.45-1.72; P≤ .04) or grade 3-4 patellar chondrosis (odds ratio, 1.72; P = .04). Meniscal pathology occurring before the index revision surgery negatively affected scores on all KOOS subscales except for sports/recreation ( P < .05). Articular cartilage pathology significantly impaired all KOOS subscale scores ( P < .05). Lower baseline outcome scores, higher body mass index, being a smoker, and incurring subsequent surgery all significantly increased the odds of reporting poorer clinical outcomes at 6 years. Conclusion: Meniscal and chondral pathology at the time of revision ACL reconstruction has continued significant detrimental effects on patient-reported outcomes at 6 years after revision surgery.

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)0.002
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.009
GPT teacher head0.280
Teacher spread0.271 · 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

Citations15
Published2023
Admission routes2
Has abstractyes

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