Complications after prostate biopsies in men on active surveillance and its effects on receiving further biopsies in the Prostate cancer Research International: Active Surveillance (PRIAS) study
Bibliographic record
Abstract
OBJECTIVE: To study the risk of serial prostate biopsies on complications in men on active surveillance (AS) and determine the effect of complications on receiving further biopsies. PATIENTS AND METHODS: In the global Prostate cancer Research International: Active Surveillance (PRIAS) study, men are prospectively followed on AS and repeat prostate biopsies are scheduled at 1, 4, and 7 years after the diagnostic biopsy, or once yearly if prostate-specific antigen-doubling time is <10 years. Data on complications after biopsy, including infection, haematuria, haematospermia, and pain, were retrospectively collected for all biopsies taken during follow-up in men from several large participating centres. Generalised estimating equations were used to test predictors of infection after biopsy. Competing risk analysis was used to compare the rates of men receiving further biopsies between men with and without previous complications. RESULTS: In all, 2 184 biopsies were taken in 1 164 men. Infection was reported after 55 biopsies (2.5%), and one in five men reported any form of complication. At multivariable analysis, the number of previous biopsies was not a significant predictor of infection (odds ratio 1.04, 95% confidence interval 0.76-1.43). The only significant predictor for infection was the type of prophylaxis used. Of all men with a complication at the diagnostic or first repeat biopsy, 21% did not have a repeat biopsy at the time a repeat biopsy was scheduled according to protocol, vs 12% for men without a previous biopsy complication. CONCLUSION: In our present cohort of men on AS, we found no evidence that repeat prostate biopsy in itself posed a risk of infection. However, complications after biopsy were not uncommon and after a complication men were less likely to have further biopsies. We should aim to safely reduce the amount of repeat biopsies in men on AS.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".