Sonography of the Hip-joint by the Emergency Physician
Bibliographic record
Abstract
OBJECTIVE: To describe a new imaging bedside test called Sonography of the Hip-joint by the Emergency Physician (SHEP) and to examine if its use as a triage tool for the presence of fluid in the hip joint can guide the emergency physician to the right diagnosis. METHODS: Case series of 5 children presented to the ED with an acute onset of limp. In addition to a careful clinical history and physical examination, each child received SHEP. RESULTS: Follow-up confirmed that the presumptive diagnosis made in the ED was correct. The SHEP tests were found helpful in diagnosing transient synovitis (3 cases), septic arthritis (1 case), and osteomyelitis of the femur (1 case). CONCLUSIONS: The SHEP tests provided additional information that narrowed the differential diagnosis, and minimized unnecessary blood tests and diagnostic imaging studies.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".