Clinically Localized Prostate Cancer: ASCO Clinical Practice Guideline Endorsement of an American Urological Association/American Society for Radiation Oncology/Society of Urologic Oncology Guideline
Bibliographic record
Abstract
PURPOSE: In April 2017, the American Urological Association, American Society for Radiation Oncology, and Society of Urologic Oncology released a joint evidence-based practice guideline on clinically localized prostate cancer. The American Society of Clinical Oncology (ASCO) has a policy and set of procedures for endorsing clinical practice guidelines that have been developed by other professional organizations. METHODS: The Clinically Localized Prostate Cancer guideline was reviewed for developmental rigor by methodologists. An ASCO Expert Panel then reviewed the content and the recommendations. RESULTS: The ASCO Expert Panel determined that the recommendations from the Clinically Localized Prostate Cancer guideline were clear, thorough, and based upon the most relevant scientific evidence. ASCO endorsed the Clinically Localized Prostate Cancer guideline except for two recommendations on cryosurgery. The two recommendations covering cryosurgery were not endorsed because the panel found that there is insufficient evidence to support the use of cryotherapy in this setting. RECOMMENDATIONS: The ASCO Expert Panel endorsed all but two of the original guideline recommendations as written and offered a series of discussion points to guide practice.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
ASCO endorsement of a clinical practice guideline for localized prostate cancer; a position document about clinical care, not about research practice.
The article endorses a prostate cancer clinical guideline and does not study research itself.
Clinical practice guideline endorsement for prostate cancer care, not study of research methods or systems.
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 | 0.022 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".