Abdominal pain duration impacts the accuracy of ultrasound for diagnosing paediatric appendicitis
Bibliographic record
Abstract
Commentary on: Bachur RG, Dayan PS, Bajaj L, et al. Paediatric Emergency Medicine Collaborative Research Committee of the American Academy of Paediatrics. The effect of abdominal pain duration on the accuracy of diagnostic imaging for paediatric appendicitis. Ann Emerg Med 2012;60:582–90.[OpenUrl][1][CrossRef][2][PubMed][3] Imaging has a paramount role in the management of paediatric appendicitis because of the fact that false-negative results from clinical examination lead only to a delay in diagnosis which may result in perforation of the appendix, thus increasing the morbidity of the disease. However, false-positive results lead to an increased rate of negative laparotomies. Ultrasonography (US) is an imaging modality that does not expose the patient to radiation and is relatively inexpensive, but is operator dependent. As a result, its diagnostic accuracy is highly related to the operator's level of experience. Furthermore, in many … [1]: {openurl}?query=rft.jtitle%253DAnnals%2Bof%2Bemergency%2Bmedicine%26rft.stitle%253DAnn%2BEmerg%2BMed%26rft.aulast%253DBachur%26rft.auinit1%253DR.%2BG.%26rft.volume%253D60%26rft.issue%253D5%26rft.spage%253D582%26rft.epage%253D590.e3%26rft.atitle%253DThe%2Beffect%2Bof%2Babdominal%2Bpain%2Bduration%2Bon%2Bthe%2Baccuracy%2Bof%2Bdiagnostic%2Bimaging%2Bfor%2Bpediatric%2Bappendicitis.%26rft_id%253Dinfo%253Adoi%252F10.1016%252Fj.annemergmed.2012.05.034%26rft_id%253Dinfo%253Apmid%252F22841176%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/j.annemergmed.2012.05.034&link_type=DOI [3]: /lookup/external-ref?access_num=22841176&link_type=MED&atom=%2Febmed%2F18%2F6%2F224.atom
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.004 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".