Validation and Comparison of Pediatric Appendicitis Scores and Management Strategies (Project SPASMS): Protocol for a Prospective Multicenter Observational Study
Bibliographic record
Abstract
BACKGROUND: Abdominal pain is a common reason for children to attend the Emergency Department (ED) with acute appendicitis being the most common surgical cause. Various clinical prediction scores (CPSs) have been developed to assist in determining the risk of appendicitis; however, CPSs have been inadequately validated in children and haphazardly adopted in Australia and New Zealand (ANZ) EDs. OBJECTIVE: This study aims to compare and validate various CPSs for diagnosing pediatric appendicitis in children presenting to ANZ EDs. METHODS: This prospective multicenter observational study across 10 ANZ EDs is recruiting children 5-17 years presenting to participating EDs with acute right-sided or generalized abdominal pain lasting ≤7 days and clinician suspicion of appendicitis. CPSs will be calculated by the study team from clinician-recorded data and clinician gestalt recorded on a visual analog scale. Accuracy of CPSs will be assessed by the area under the receiver operating characteristic curve and proportions correctly identified as either low-risk or high-risk based on the CPSs published cutoffs. The final diagnosis of appendicitis will be confirmed on histopathology, and the absence of appendicitis confirmed by telephone, email, or a combination of both to follow up for those discharged directly from ED. RESULTS: This study received funding in July 2023 and started enrolment in August 2023. As of October 2024, we have enrolled and completed follow-up on 1227 participants with an expected end date in mid-2025. CONCLUSIONS: This study aims to determine the best-performing CPS for diagnosing pediatric appendicitis in ANZ EDs. Implementation of this CPS in ANZ EDs has the potential to reduce health care costs, rationalize the use of health care resources, and improve the management and outcomes of childhood appendicitis. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12622001293752; https://tinyurl.com/242wwenx. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67941.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 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".