HCP-17RETROSPECTIVE ANALYSIS OF PNEUMOCYSTIS JIROVECI IN BRAIN TUMOR PATIENTS
Bibliographic record
Abstract
Pneumocystis jiroveci pneumonia (PCP) can be a highly lethal infection in patients with HIV or other immunodeficiencies, with a mortality rate estimated at 50%. The use of corticosteroids has been associated with 80-94% of PCP cases in the non-HIV population. In two-thirds of cases, the infection clinically presents during the tapering of steroids, likely reflecting an infection that is unmasked as the patient regains the ability to mount an immune response. The precise influence of dose and duration of corticosteroid treatment regarding susceptibility to PCP infection remains a controversial question. Some studies suggest that patients with brain tumors on steroids for more than 5 weeks are at high risk of PCP, especially during the tapering period. Generally, patients who receive steroid treatment for more than 4 weeks at a dose equivalent to 20 mg of prednisone per day are considered for PCP prophylaxis at most cancer centres, but there is variability across institutions. At the Pencer Brain Tumor Centre at Princess Margaret, there is no established protocol regarding PCP prophylaxis in glioma patients on corticosteroids, as it is felt that the incidence of PCP is rare and side effects of prophylaxis can impact patient's overall well being during treatment. Retrospective assessment of our cohort of patients with primary brain tumors from January 1st 2008 to December 31st 2013 will help determine the incidence of PCP infection in this population in the absence of prophylaxis and will allow evaluation of factors associated with PCP infection, including the dose and the duration of corticosteroid treatment, CD4 count and systemic therapy. We will also determine the proportion of patients who needed to stop their PCP prophylaxis due to side effects and the correlation between PCP infections and the duration/dose of steroid treatment. Results will be available for the SNO meeting.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".