Consensus Statement of the Italian Polispecialistic Society of Young Surgeons (SPIGC): Diagnosis and Treatment of Acute Appendicitis
Bibliographic record
Abstract
BACKGROUND: Acute appendicitis (AA) is one of the most common causes of abdominal pain requiring surgical intervention. Approximately 20% of AA cases are characterized by complications such as gangrene, abscesses, perforation, or diffuse peritonitis, which increase patients' morbidity and mortality. Diagnosis of AA can be difficult, and evaluation of clinical signs, laboratory index and imaging should be part of the management of patients with suspicion of AA. METHODS: This consensus statement was written in relation to the most recent evidence for diagnosis and treatment of AA, performing a literature review on the most largely adopted scientific sources. The members of the SPIGC (Italian Polispecialistic Society of Young Surgeons) worked jointly to draft it. The recommendations were defined and graded based on the current levels of evidence and in accordance with the criteria adopted by the American College of Chest Physicians (CHEST) for the strength of the recommendations. RESULTS: Fever and migratory pain tend to be present in patients with suspicion of AA. Laboratory and radiological examinations are commonly employed in the clinical practice, but today also scoring systems based on clinical signs and laboratory data have slowly been adopted for diagnostic purpose. The clinical presentation of AA in children, pregnant and elderly patients can be unusual, leading to more difficult and delayed diagnosis. Surgery is the best option in case of complicated AA, whereas it is not mandatory in case of uncomplicated AA. Laparoscopic surgical treatment is feasible and recommended. Postoperative antibiotic treatment is recommended only in patients with complicated AA.
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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 | 0.033 | 0.079 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.013 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".