Assessing the reliability of the modified Gartland classification system for extension-type supracondylar humerus fractures
Bibliographic record
Abstract
PURPOSE: The Gartland extension-type supracondylar humerus (SCH) fracture is the most common paediatric elbow fracture. Treatment options range from nonoperative treatment (taping or casting) to operative treatments (closed reduction and percutaneous pinning or open reduction). Classification variability between surgeons is a potential contributing factor to existing controversy over treatment options for type II SCH fractures. This study investigated levels of agreement in extension-type SCH fracture classification using the modified Gartland classification system. METHODS: A retrospective review was conducted on 60 patients aged between two and 12 years who had sustained an extension-type SCH fracture and received operative or nonoperative treatment at a tertiary children's hospital. Baseline radiographs were provided, and surgeons were asked to classify the fractures as type I, IIA, IIB or III according to the modified Gartland classification. Respondents were then asked to complete a second round of classifications using reshuffled radiographs. Weighted kappa values were calculated to assess interobserver and intraobserver levels of agreement. RESULTS: In all, 21 paediatric orthopaedic surgeons responded to the survey and 15 completed a second round of ratings. Interobserver agreement for classification based on the Gartland criteria between surgeons was substantial with a kappa of 0.679 (95% confidence interval (CI) 0.501 to 0.873). Intraobserver agreement was substantial with a kappa of 0.796, (95% CI 0.628 to 0.864). CONCLUSION: Radiographic classification of extension-type SCH fractures demonstrated substantial agreement both between and within surgeon raters. Therefore, classification variability may not be a major contributing factor to the treatment controversy for type II SCH fractures and treatment variability may be due to differences in surgeon preferences. LEVEL OF EVIDENCE: III.
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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 | 0.026 | 0.088 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| 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".