An interesting case of transcutaneous aspiration of myocardial abscess
Bibliographic record
Abstract
An 81-year-old woman presented with fever, hypotension, rapid atrial fibrillation, and congestive heart failure. She had no localizing symptoms of infection and physical examination was unremarkable. She had a marked leukocytosis and elevated C-reactive protein with negative blood, urine, and stool cultures. Evaluation with an Indium-labelled white blood cell scan demonstrated a rim-enhancing collection involving the inferior left ventricular wall and inter-ventricular septum, compatible with a myocardial abscess. Ultrasound-guided percutaneous drainage of the abscess was cultured, subsequently growing Listeria monocytogenes. Diagnosing bacterial myocarditis/abscess is challenging because of the non-specific clinical presentation of this infection; historically, most cases have been diagnosed post-mortem. The requirement for specialized imaging and the need to obtain tissue biopsy (myocarditis) or abscess fluid for definitive diagnosis are further challenges to diagnosis. The use of nuclear medicine imaging and obtaining culture of the abscess were essential to making the correct diagnosis and ensuring appropriate management of this case.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".