Clinical characteristics of SARS-CoV-2 vaccine-related acute appendicitis
Bibliographic record
Abstract
Background: In a large nationwide mass vaccination setting, the SARS-CoV-2 vaccine was recently linked to myocarditis, lymphadenopathy, herpes zoster infection and appendicitis. We aimed to examine the characteristics and management of SARS-CoV-2 vaccine-related acute appendicitis. Methods: We performed a retrospective cohort study in a large tertiary medical centre in Israel. All patients presenting with acute appendicitis within 21 days of receiving their SARS-CoV-2 vaccination (PCVAA group) were compared with patients who presented with acute appendicitis not related to the vaccination (N-PCVAA group). Results: We reviewed the records of 421 patients with acute appendicitis from December 2020 to September 2021; 38 (9%) patients presented with acute appendicitis within 21 days of receiving their SARS-CoV-2 vaccination. Patients in the PCVAA group were older than those in the N-PCVAA group (mean 41 ± 19 yr v. 33 ± 15 yr, respectively, p = 0.008), with male predominance. More patients were managed nonsurgically during the pandemic than before the pandemic (24% v. 18%, p = 0.03). Conclusion: With the exception of older age, the clinical characteristics of patients presenting with acute appendicitis within 21 days of receiving the SARS-CoV-2 vaccination did not differ from those of patients who presented with acute appendicitis not related to the vaccination. This finding suggests that vaccine-related acute appendicitis is similar to “classic” acute appendicitis.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".