SCREENING AND CLINICAL MANAGEMENT OF PROSTATE CANCER
Bibliographic record
Abstract
OBJECTIVES: The objectives of the study were to identify the current standards of clinical practice regarding prostate cancer screening in western Europe, Canada, and the United States, and to highlight major characteristics of current prostate cancer screening programs or patterns of practice. METHODS: We performed a semi-structured interview by means of a self-administered questionnaire sent by fax to 26 institutes pertaining to the International Network of Agencies for Health Technology Assessment. RESULTS: None of the countries surveyed had a formal national screening policy. Despite that, all the countries answering the questionnaire had discretionary, public-financed screening practices. Moreover, some scientific and professional organizations recommended population screening for prostate cancer, and few of the surveyed countries offered it as experimental practice within a randomized controlled trial. Survey results showed variation regarding screening policies, in particular test of choice, age cut-off points, and treatment prescribed for positive test results. CONCLUSIONS: Despite the lack of conclusive evidence on the benefits of prostate cancer screening, the availability of simple and easy-to-administer tests has lead to an enormous variation on screening policies around the world. Practice variations also affect prostate cancer 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".