Active surveillance for the management of localized prostate cancer: Guideline recommendations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The objective is to provide guidance on the role of active surveillance (AS) as a management strategy for low-risk prostate cancer patients and to ensure that AS is offered to appropriate patients assessed by a standardized protocol. Prostate cancer is often a slowly progressive or sometimes non-progressive indolent disease diagnosed at an early stage with localized tumours that are unlikely to cause morbidity or death. Standard active treatments for prostate cancer include radiotherapy (RT) or radical prostatectomy (RP), but the harms from over diagnosis and overtreatment are of a significant concern. AS is increasingly being considered as a management strategy to avoid or delay the potential harms caused by unnecessary radical treatment. METHODS: A literature search of MEDLINE, EMBASE, the Cochrane library, guideline databases and relevant meeting proceedings was performed and a systematic review of identified evidence was synthesized to make recommendations relating to the role of AS in the management of localized prostate cancer. RESULTS: No exiting guidelines or reviews were suitable for use in the synthesis of evidence for the recommendations, but 59 reports of primary studies were identified. Due to studies being either non-comparative or heterogeneous, pooled meta-analyses were not conducted. CONCLUSION: The working group concluded that for patients with low-risk (Gleason score ≤6) localized prostate cancer, AS is the preferred disease management strategy. Active treatment (RP or RT) is appropriate for patients with intermediate-risk (Gleason score 7) localized prostate cancer. For select patients with low-volume Gleason 3+4=7 localized prostate cancer, AS can be considered.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it