Inter-Rater and Intrarater Reliability of Radiographs in the Diagnosis of Pediatric Scaphoid Fractures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Pediatric scaphoid fractures can be challenging to diagnose on plain radiograph. Rates of missed scaphoid fractures can be as high as 30% to 37% on initial imaging and overall sensitivity ranging from 21% to 97%. Few studies, however, have examined the reliability of radiographs in the diagnosis of scaphoid fractures, and none are specific to the pediatric population. Reliability, both between different specialists and for individual raters, may elucidate some of the diagnostic challenges. METHODS: We conducted a 2-iteration survey of pediatric orthopedic surgeons, plastic surgeons, radiologists, and emergency physicians at a tertiary children's hospital. Participants were asked to assess 10 series of pediatric wrist radiographs for evidence of scaphoid fracture. Inter-rater and intrarater reliability was calculated using the intraclass correlation coefficient of 2.1. RESULTS: Forty-two respondents were included in the first iteration analysis. Inter-rater reliability between surgeons (0.66; 95% confidence interval, 0.43-0.87), radiologists (0.76; 0.55-0.92), and emergency physicians (0.65; 0.46-0.86) was "good" to "excellent." Twenty-six respondents participated in the second iteration for intrarater reliability (0.73; 0.67-0.78). Sensitivity (0.75; 0.69-0.81) and specificity (0.78; 0.71-0.83) of wrist radiographs for diagnosing scaphoid fractures were consistent with results in other studies. CONCLUSIONS: Both inter-rater and intrarater reliability for diagnosing pediatric scaphoid fractures on radiographs was good to excellent. No significant difference was found between specialists. Plain radiographs, while useful for obvious scaphoid fractures, are unable to reliably rule out subtle fractures routinely. Our study demonstrates that poor sensitivity stems from the test itself, and not rater variability.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it