External validation of the prostascore model in patients with metastatic hormone‐sensitive prostate cancer recruited to the CHAARTED study
Bibliographic record
Abstract
OBJECTIVE: To externally validate 'prostascore' in patients with metastatic hormone-sensitive prostate cancer recruited to the phase III CHAARTED study. METHODS: We conducted a retrospective analysis of the prospectively collected data from patients with metastatic hormone-sensitive prostate cancer in the CHAARTED study, a phase III multicentre study conducted between 2006 and 2014. The main outcome of the present analysis was overall survival, assessed using Kaplan-Meier analysis or log-rank testing, in the whole cohort according to different prostascores. In addition, patients with different scores were compared according to treatment arm. RESULTS: A total of 702 cases had complete baseline data, allowing calculation of prostascores and inclusion in the present analysis. Overall survival was assessed according to prostascores in the entire cohort and the P value for overall survival trend was significant (P < 0.001). Likewise, progression-free survival was assessed according to prostascores in the entire cohort and the P value for progression-free survival trend was also significant (P < 0.001). Overall survival comparisons according to treatment arm were evaluated among different prostascores. Notably, the P value for overall survival difference was not significant for a prostascore = 2 (P = 0.702), but was significant for scores of 3, 4 and 5 (P < 0.05). The cause-specific hazard ratio for cancer-specific survival (adjusted for treatment arm used) was also evaluated. The P value for pairwise comparisons between different scores was significant (P < 0.01) except for the comparison between scores 4 and 5. CONCLUSION: The present study further confirms the role of prostascore in predicting the outcomes of patients with metastatic hormone-sensitive prostate cancer and also highlights its potential role in therapeutic decision-making.
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 | 0.041 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".