Androgen deprivation therapy for prostate cancer and the risk of hospitalisation for community-acquired pneumonia
Bibliographic record
Abstract
BACKGROUND: Androgens have been shown to influence both the immune system and lung tissue, raising the hypothesis that androgen deprivation therapy (ADT) for prostate cancer may increase the risk of pneumonia. Thus, the aim of this study was to determine whether ADT is associated with an increased risk of hospitalisation for community-acquired pneumonia in patients with prostate cancer. METHODS: This was a population-based cohort study using the United Kingdom Clinical Practice Research Datalink linked to the Hospital Episode Statistics repository. The cohort consisted of 20 310 men newly diagnosed with non-metastatic prostate cancer between 1 April 1998 and 31 March 2015. Time-dependent Cox proportional hazards models were used to estimate adjusted HRs and 95% CIs for hospitalisation for community-acquired pneumonia associated with current and past use of ADT compared with non-use. RESULTS: During a mean follow-up of 4.3 years, there were 621 incident hospitalisations for community-acquired pneumonia (incidence rate: 7.2/1000 person-years). Current ADT use was associated with an 81% increased risk of hospitalisation for community-acquired pneumonia (12.1 vs 3.8 per 1000 person-years, respectively; HR 1.81, 95% CI 1.47 to 2.23). The association was observed within the first six months of use (HR 1.73, 95% CI 1.23 to 2.42) and remained elevated with increasing durations of use (≥25 months; HR 1.79, 95% CI 1.39 to 2.30). In contrast, past ADT use was not associated with an increased risk (HR 1.23, 95% CI 0.95 to 1.60). CONCLUSIONS: The use of ADT is associated with an increased risk of hospitalisation for community-acquired pneumonia in men with prostate cancer.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".