Periodontitis Associated With Septic Lateral Sinus Thrombosis and Pulmonary Embolism
Bibliographic record
Abstract
A 42-year-old woman had acute headache and intermittent fever for 1 month. Neuroimaging revealed acute venous thrombosis in the left transverse and sigmoid sinuses. Cerebrospinal fluid analysis showed increased protein, reduced glucose and leukocytosis. Blood culture yielded Peptostreptococcus , which was highly suspected due to the patient having periodontitis. Meanwhile, multiple pulmonary emboli were detected during the course of treatment. The patient recovered well after antibiotic therapy followed by dental treatment. Dental diseases may cause septic cavernous sinus thrombosis, but their association with lateral sinus thrombosis has not been previously reported. This case report describes the unusual presentation of lateral sinus thrombosis and multiple pulmonary emboli in a patient with periodontitis, and demonstrates that oral cavity can be the primary infection focus, and dental evaluation should be considered for patients with cerebral venous sinus thrombosis. J Med Cases. 2016;7(1):4-6 doi: http://dx.doi.org/10.14740/jmc2374w
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".