Multiple Brain Abscesses Caused by Fusobacterium nucleatum Treated Conservatively
Bibliographic record
Abstract
BACKGROUND: Multiple brain abscesses are serious neurological problems with high mortality and disabling morbidity. The frequency is rising as a result of AIDS and the increasing number of immunocompromised patients. CASE STUDY: A 59-year-old woman developed signs and symptoms of diffuse brain dysfunction including fever and neck stiffness. A brain CT scan demonstrated nine contrast-enhancing ring-shaped lesions. Analysis of the cerebrospinal fluid using PCR-technique revealed DNA of Fusobacterium nucleatum. Conservative treatment with antibiotics was successful. The patient recovered with only mild cognitive deficits. RESULTS: The experience of our patient and the review of the literature indicate that multiple brain abscesses due to Fusobacterium nucleatum are rare. The most probable source is oral infection. CONCLUSION: Multiple brain abscesses may be caused by Fusobacterium nucleatum. Cerebrospinal fluid analysis using PCR technique is helpful with diagnosis. Conservative management can be successful.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".