Trivial trauma and delayed rupture of a normal spleen: a case report
Bibliographic record
Abstract
INTRODUCTION: Although a majority of splenic ruptures present acutely with a known mechanism of injury, a minority of patients present days to weeks following trauma with a delayed rupture. Also uncommon is the atraumatic rupture, the vast majority of which occur in patients with underlying splenic pathology. A handful of cases of apparently spontaneous rupture of a normal spleen are reported; however, there is debate about whether these actually represent delayed ruptures following a history of trauma that is not elicited. Although a few cases of delayed rupture of the spleen following trivial trauma have been reported, the majority of these present evidence of an underlying disease process. We found only two such cases that documented a normal spleen and three cases where underlying splenic pathology was not reported. We review the literature and discuss the phenomenon of delayed rupture of the normal spleen following trivial trauma. CASE PRESENTATION: A 27-year-old Caucasian man with no underlying splenic pathology presented with splenic rupture one week after playfully wrestling with his partner. The patient did not present at the time of the injury and only recalled it upon repeated questioning after computed tomography diagnosis. CONCLUSIONS: This case lends support to the theory that the normal spleen can rupture some time after trivial trauma, which seems like a more plausible explanation than rupture without cause. However, given the dearth of similar reports in the literature, the possibility remains that the association we have observed is not causational.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".