Persistent Methicillin-Resistant <i>Staphylococcus Aureus</i> Bacteremia from an Infected Superior Vena Cava Thrombus
Bibliographic record
Abstract
Infection is among the leading causes of mortality for patients with end-stage renal disease. The placement of catheters for hemodialysis are common culprits of infection and have been associated with the development of complications such as venous thrombosis, bacteremia and thromboembolism. Calcification of a venous thrombus is a rare complication and infection of a right-sided thrombus can result in life-threatening septicemia and embolic complications. Herein, we describe the case of a 46-year-old patient found to have a calcified superior vena cava thrombus and bacteremia refractory to antibiotic therapy requiring surgical intervention under circulatory arrest to remove the infected thrombus gaining infectious source control and preventing future complications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".