Comparison of incidentally detected prostate cancer with screen‐detected prostate cancer treated by prostatectomy
Bibliographic record
Abstract
BACKGROUND: The prostate may often harbor a prostate cancer (PC) which will not cause morbidity if left untreated. Screening for PC leads to increased detection of these insignificant cancers. Objective of this study is to compare PC detected by PSA screening at subsequent screening rounds and treated by radical prostatectomy (RP) with PC incidentally found in cystoprostatectomy specimens. METHODS: Radical prostatectomy specimens of 617 screen-detected PC were compared with 123 PC identified in cystoprostatectomy specimens. Surgical specimens were systematically examined and stage, grade, tumor volume were recorded. Next, we classified PC as clinically significant or insignificant (i.e., tumor volume <0.5 cm(3), absence of Gleason pattern 4/5, organ confined). Pathological features of incidentally detected PC were compared with PC detected in subsequent screening rounds and with screen-detected T1c PC. RESULTS: Screen-detected PC overall were more often multifocal, larger in volume, more advanced in tumor stage and of higher grade, while the frequency of insignificant PC was lower as compared to those in cystoprostatectomy specimens. This effect became more pronounced during subsequent screening rounds. Screen-detected T1c PC were also more often multifocal (73% vs. 37%) in average fivefold larger (0.85 cm(3) vs. 0.16 cm(3)), less often organ confined (81% vs. 94%), and less frequently clinically insignificant (33% vs. 81%). CONCLUSIONS: Screen-detected (T1c) PC treated with RP shows more aggressive features than incidentally found PC. This PSA screening-related selection seems to be mainly driven by tumor volume and-in later screening rounds-by the preferential treatment by prostatectomy of more aggressive PC.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".