Systemic nocardiosis following allogeneic bone marrow transplantation
Bibliographic record
Abstract
Five cases of systemic Nocardia infection were diagnosed among 301 allogeneic bone marrow transplant recipients. A sixth case included in this report received her transplant at another institution. The cumulative annual incidence rate of this infection was 1.75%. All patients had been treated previously for acute graft-versus-host disease (GVHD). At the time of diagnosis of systemic Nocardia infection, a median of 198 (range 148-1121) days after transplantation, all patients had extensive chronic GVHD and were taking 2 to 3 immunosuppressive medications. Prior to diagnosis of Nocardia infection patients had experienced multiple opportunistic infections, including infections with Mycobacterium avium-intracellulare, Pneumocystis carinii, and cytomegalovirus antigenemia. Treatment with trimethoprim-sulfamethoxazole (TMP-SMX), ceftriaxone, or carbapenem antibiotics resulted in a median survival of 219 days from the time of diagnosis and an actuarial 1-year survival of 40%. All patients who received more than 2 weeks of therapy were cured of their infections. Notably, 5/6 patients in this cohort were unable to take TMP-SMX because of myelosuppression. In comparison with randomly selected control patients, the use of pentamidine for prevention of P. carinii infection was associated with a marginal increase in the risk of Nocardia infection. We postulate that the use of TMP-SMX may be of benefit in the prophylaxis of infections other than P. carinii in patients with chronic GVHD.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".