Ureteropelvic Junction Disruption and Distal Ureter Injury Associated with a Chance Fracture following a Traffic Accident: A Case Report
Bibliographic record
Abstract
A 10-year-old girl sustained a ureteropelvic junction disruption and distal ureter injury associated with the Chance fracture following a traffic accident. She was sitting on the rear seat of a car wearing a lap belt. Extensive small bowel mesenteric trauma was noted. Radiography revealed a left haemothorax with mediastinal shift and an unstable flexion-distraction vertebral fracture at L2 (Chance fracture). Subsequent intravenous pyelography demonstrated proximal extravasation from the right kidney without continuity to the upper and mid ureter, indicating a ureteropelvic junction avulsion or necrosis. Definitive surgery was delayed until day 33 because of urosepsis. Due to extensive small bowel resection, ischaemia of the ureter, and the history of urosepsis, a right subcapsular nephrectomy (rather than ureteral reconstruction) was considered the safest option for minimising further complications. It is important that trauma specialists recognise additional injuries after major trauma. Early use of a multidisciplinary approach is recommended to reduce morbidity and mortality.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".