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Record W4410640681 · doi:10.1016/j.jposna.2025.100204

Which Radiographic Measurements Best Predict Contralateral Slip in Patients Who Undergo Pinning for Unilateral Slipped Capital Femoral Epiphysis?

2025· article· en· W4410640681 on OpenAlexaff
Eduardo N. Novais, Timothy C. Borden, Thierry Pauyo, Mariana G. Ferrer, Patricia E. Miller, Maranho Daniel

Bibliographic record

VenueJournal of the Pediatric Orthopaedic Society of North America · 2025
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsMontreal Children's Hospital
Fundersnot available
KeywordsSlipped capital femoral epiphysisRadiographyMedicineSlip (aerodynamics)EpiphysisOrthodonticsSurgeryFemoral headPhysics

Abstract

fetched live from OpenAlex

Background: Managing the contralateral hip in patients with unilateral slipped capital femoral epiphysis (SCFE) involves balancing the risks of prophylactic pinning against the potential for a subsequent slip. This study aimed to evaluate the role of radiographic methods in predicting contralateral slips in patients with unilateral SCFE. Methods: We assessed frog-leg radiographs from 312 patients with unilateral SCFE, measuring the Billings, Southwick, Posterior Sloping Angle (PSA), and tilt angles. Seventy patients (22%) experienced contralateral slips, with a median follow-up of 42 months (range, 18-70 months). Radiographs were evaluated independently by four raters at two separate time points. The radiographic parameters were compared between patients who developed contralateral slips and those who did not, and the diagnostic utility of each radiographic measure was assessed through receiver operating characteristic (ROC) curve analysis, with area under the ROC curve (AUC) values calculated for each method. Sensitivity, specificity, and predictive values were also determined using literature-based cutoffs for the angles (tilt angle >10°, Billings >12°, PSA >14°, Southwick >12°). Results: ROC analysis showed discriminatory ability for all measures, with AUCs ranging from 0.61 to 0.66. The Tilt angle had the highest overall accuracy (77%; 95% CI = 72-82%) and specificity (93%) but the lowest sensitivity (21%). The Billings angle was the most sensitive (83%; 95% CI = 72-92%). All methods displayed good negative predictive values (NPV) between 80 and 90% and excellent interrater (ICC = 0.92-0.99) and intrarater (ICC = 0.84-0.98) reliability. Conclusions: Each radiographic method provides reliable predictive information regarding the risk of contralateral slip in unilateral SCFE. Surgeons who aim to minimize the risk of missing a contralateral slip should consider using the Billings angle with a cutoff of 12°, accepting that this may lead to some unnecessary pinning of hips that would not have slipped. Conversely, those who prioritize avoiding unnecessary surgery may prefer the tilt angle with a cutoff of 10°, understanding that this approach could result in missing some hips that will later develop a slip. These findings provide valuable guidance for decision-making regarding managing the contralateral hip in patients with unilateral SCFE. Key Concepts: (1) Radiographic Predictive Measurements for Contralateral SCFE: The study evaluates the diagnostic utility of various radiographic angles (Epiphyseal Tilt, Billing's, Posterior Sloping, and Southwick angle) in predicting contralateral slips in unilateral SCFE cases, highlighting their sensitivity, specificity, and clinical implications.(2) Interrater and Intrarater Reliability of radiographic measurements: The study demonstrates excellent interrater and intrarater reliability across all radiographic measurements, emphasizing the consistency and reproducibility of these methods for clinical use.(3) Limitations of Current Predictive Radiographic Measurements: The study highlights the limitations of existing radiographic methods in achieving perfect predictive accuracy, advocating for future research to explore advanced imaging techniques like 3D MRI or CT to improve the identification of contralateral slip risk.(4) Trade-Off Between Sensitivity and Specificity: The findings emphasize the critical trade-off between minimizing missed contralateral slips versus avoiding unnecessary prophylactic pinning.(5) Clinical Decision-Making Guidance: By providing detailed accuracy and predictive values for each measurement, the study offers practical guidance for orthopaedic surgeon. Surgeons who aim to minimize the risk of missing a contralateral slip should consider using the Billings angle with a cutoff of 12°, accepting that this may lead to some unnecessary pinning of hips that would not have slipped. Conversely, those who prioritize avoiding unnecessary surgery may prefer the tilt angle with a cutoff of 10°, understanding that this approach could result in missing some hips that will later develop a slip. Level of Evidence: Level III retrospective cohort study.

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 score0.012
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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