Mesenteric Infarction With Cerebral Thrombotic Relapses and Pulmonary Embolism Two and Four Months After COVID-19
Bibliographic record
Abstract
The aim of the present study was to report different sites of thrombotic events during and after coronavirus disease 2019 (COVID-19) in a 49-year-old patient who had acute mesenteric infarction in acute phase, stroke 2 months after and pulmonary thromboembolism 4 months after infection by COVID-19. The obese, previously healthy patient experienced myalgia and headache with subfebrile peaks and was tested positive for COVID-19 with a fast polymerase chain reaction (PCR) assay. Ten days after the onset of symptoms, the patient was submitted to exploratory laparotomy, which revealed 20 cm of small intestine loop with signs of suffering and thickening of the wall approximately 120 cm from the ileocecal valve. Two months after the event, angiotomography was performed, revealing effacement of the sulci in the right parietal region and hypersignal of the right middle cerebral artery with stop in M1. Two months later (4 months after the mesenteric infarction), chest angiotomography revealed signs of acute pulmonary thromboembolism, with no typical image of pulmonary infarction. Despite all these complications in the postoperative period, the patient survived.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".