Medical resource utilization of abiraterone acetate plus prednisone added to androgen deprivation therapy in metastatic castration‐naive prostate cancer: Results from LATITUDE
Bibliographic record
Abstract
BACKGROUND: Abiraterone acetate plus prednisone (AA+P), when added to androgen deprivation therapy (ADT), demonstrated significant improvements in overall survival and disease progression over dual placebos added to ADT in the LATITUDE clinical trial (NCT01715285). The objective of this study was to assess event-driven medical resource utilization (MRU) of ADT plus AA+P (ADT+AA+P) versus ADT plus dual placebos (ADT+placebos) in LATITUDE. METHODS: Event-driven MRU data from LATITUDE while patients were on treatment were used for analyses. Types of MRU included overnight hospitalizations and length of stay (LOS), emergency room (ER) visits, radiotherapy, surgery, imaging, and specialist and general practitioner (GP) visits. Rates by treatment (per 100 person-years) and rate ratios comparing ADT+AA+P with ADT+placebos were estimated with zero-inflated Poisson regression. The difference in the average hospital LOS between arms was assessed with repeated measures regression analyses. Reasons for hospitalization were explored. Sensitivity analyses were conducted to assess the robustness of the results. RESULTS: A total of 1199 patients were enrolled in LATITUDE. Significantly lower rates of hospitalization (a 24% reduction), imaging (a 36% reduction), and radiotherapy (a 50% reduction) were observed with ADT+AA+P versus ADT+placebos. There was a nonsignificant trend of lower rates of specialist visits and surgery. The rates of ER and GP visits and the average LOS per hospitalization episode were similar across arms. The most common hospitalization reasons were genitourinary, musculoskeletal, and respiratory tract symptoms/disorders. The results remained consistent in a sensitivity analysis. CONCLUSIONS: Adding AA+P to ADT does not increase MRU and leads to lower rates of hospitalization, imaging, and radiotherapy. This likely reflects the more favorable clinical outcomes with ADT+AA+P therapy.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".