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Record W2593517390 · doi:10.1177/0363546517690387

Tibial Tuberosity Anteromedialization for Patellofemoral Chondral Disease: Prognostic Factors

2017· article· en· W2593517390 on OpenAlexaboutno aff
Federica Rosso, Roberto Rossi, Giorgio Governale, A. Marmotti, Valeria Cherubini, Umberto Cottino, Davide Edoardo Bonasia

Bibliographic record

VenueThe American Journal of Sports Medicine · 2017
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisSurgeryOrthopedic surgerySurvivorship curvePatellaInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Tibial tuberosity anteromedialization (TTA) is a well-established treatment option for patellofemoral chondral disease that is resistant to nonoperative treatment. However, the prognostic factors of this procedure are unknown. PURPOSE: To analyze the prognostic factors correlated with the midterm outcomes of TTA for patellofemoral chondral disease and determine the survivorship. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: Indications of TTA for chondral disease included skeletal maturity, age <65 years, <grade 3 Kellgren-Lawrence degeneration, and isolated patellofemoral pain for ≥6 months despite nonoperative treatment. Inclusion criteria were (1) patellofemoral chondral disease, (2) TTA with or without lateral release, and (3) minimum 2-year follow-up. Exclusion criteria were (1) previous knee surgeries, (2) previous patellar dislocations, (3) inflammatory/rheumatic conditions, (4) major combined procedures other than lateral release, (5) focal chondral lesions amenable to cartilage repair, and (6) severe trochlear dysplasia. The patients were prospectively evaluated radiographically and clinically using the Western Ontario and McMaster Universities Osteoarthritis Index-Short-Form (WOMAC-SF) and Kujala scores. Different clinical and radiological data were collected (preoperative, intraoperative, and postoperative) and correlated with the outcomes using multiple logistic regression. The Kaplan-Meier survivorship was also evaluated. RESULTS: From January 2003 to December 2013, among 76 eligible patients, 69 patients (78 knees, 74.4% female) were included, with a mean follow-up of 67.9 ± 34.5 months (range, 24-163 months) and a mean age at the time of surgery of 43.5 ± 16.1 years. The mean preoperative WOMAC-SF (17.8 ± 5.3) and Kujala (49.3 ± 15.6) scores significantly ( P < .001) improved after surgery (WOMAC-SF: 6.6 ± 6.9; Kujala: 74.2 ± 20.5). The patients graded their operated knee as 7.2 ± 2.1 of 10 points, on average, and stated that they would undergo the surgery again in 58 (74.4%) cases. A WOMAC-SF score of >7 points (34.6% of knees) in the multiple regression model was associated with age >45 years (odds ratio [OR], 10.4; 95% CI, 2.0-55.0) and increased femoral anteversion (OR, 7.9; 95% CI, 1.4-44.1). A Kujala score of <80 points (61.5% of knees) was associated with age >45 years (OR, 12.0; 95% CI, 2.6-56.2) and foot pronation (OR, 5.1; 95% CI, 1.3-20.4). Patient satisfaction of <7 of 10 points (32.1% of knees) was associated with positive postoperative patellofemoral crepitus (OR, 3.6; 95% CI, 1.1-11.7). The Kaplan-Meier survivorship of TTA with dissatisfaction (<5/10 points) as an end point was 94% at 43 months, 88% at 77 months, and 77% at 108 months. CONCLUSION: Overall, good outcomes and survivorship (77% at 108 months) were obtained in this case series. However, 25.6% of the patients would not undergo the surgery again. Increased age, increased femoral anteversion, foot pronation, and postoperative patellofemoral crepitus were identified as negative prognostic factors.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.298

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 head0.261
Teacher spread0.238 · 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 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

Citations22
Published2017
Admission routes1
Has abstractyes

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