Inter-observer and intra-observer agreement in the radiographic diagnosis of avascular necrosis of the femoral head following slipped capital femoral epiphysis
Bibliographic record
Abstract
INTRODUCTION: Slipped capital femoral epiphysis (SCFE) is a common pediatric hip disorder. Avascular necrosis (AVN) of the femoral head is a devastating complication of SCFE. The frequency of this complication reported in the literature has been variable. It was the objective of this study to estimate the inter- and intra-observer agreement between two experienced pediatric orthopaedic surgeons for the radiographic diagnosis of AVN following SCFE. METHODS: A retrospective review of all cases of SCFE treated at our center between 1995 and 2005 was performed. All cases of AVN and a random sample of 19 of the remaining cases were selected for study. The most recent anteroposterior and lateral radiographs were presented to two experienced pediatric orthopaedic surgeons in a random order. Inter-observer reliability was determined by calculating the kappa statistic to assess for clinical agreement. Each observer repeated this process two weeks after the initial review. RESULTS: There were a total of 103 cases of SCFE, of which four were diagnosed with AVN. The inter-observer agreement in the first trial was 0.79. The intra-observer agreement for the first observer was 0.9 and for the second observer, it was 0.88. CONCLUSION: The agreement, both inter- and intra-observer, for the radiographic diagnosis of AVN amongst adolescents with previous SCFE is very high. The results of this study suggest that the reported discrepancy of AVN in the literature following SCFE is not likely due to the lack of inter- and intra-observer agreement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.059 | 0.122 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".