Resolution of Sonographic Appendicitis in Pediatrics: a Point of Care Ultrasound Case-Series
Bibliographic record
Abstract
Studies of pediatric appendicitis treated conservatively show a considerable rate of recurrence. Point of care ultrasound (POCUS) imaging at our facility is routinely performed for abdominal pain and may be more likely than radiology-performed ultrasound to encounter cases that then self-resolve. We present a case series collected from a POCUS quality assurance review from 2019 through 2022. Five children were identified with sonographic appendicitis on review of stored POCUS images, and subsequent improvement of pain. A pediatric radiologist reviewed blinded images and agreed with the POCUS interpretation in all five cases. No child in this series received antibiotics. The national patient database was used to ensure that the patients in this series did not present elsewhere with appendicitis. We suggest that these cases represent early appendicitis that self-resolved. Patients should be aware that POCUS showed signs of appendicitis, and should seek medical attention for recurrence of symptoms.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".