Bibliographic record
Abstract
Background: Pneumocystis pneumonia (PCP) can occur in glioma patients receiving chemoradiotherapy. Health Canada recommends PCP prophylaxis during temozolomide chemoradiotherapy. Not all neuro-oncologists follow these recommendations. The research objective was to characterize the risk-versus-benefit balance of PCP prophylaxis during chemoradiotherapy. Methods: Using ICES data, the risk of PCP in temozolomide-treated glioma patients with or without antibiotics was evaluated. Secondary outcomes included mortality, hospitalizations, and myelosuppression. Results: Between 2005–2019 there were 3225 patients included in the cohort (648 received antibiotics). Eighteen patients developed PCP within 90 days of therapy. The propensity score–adjusted absolute risk reduction in PCP with antibiotics was 0.0035 (95% CI -0.0013–0.0083), number needed to treat:288. Neither overall survival nor hospitalization count differed between groups. The number needed to harm by causing grade 3/4 neutropenia was 39. Conclusion: In regions where PCP is rare, routine PCP prophylaxis should not be offered, since the harms may outweigh the benefits
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".