Canadian Urological Association guideline: Management of small renal masses – Full-text
Bibliographic record
Abstract
of recommendations1. Patients diagnosed with SRM should undergo routine laboratory investigations, including at a minimum a serum creatinine and glomerular filtration rate (Clinical principle).2. Patients with SRM incidentally discovered on routine imaging should be investigated with a multiphasic, contrast-enhanced abdominal computed tomography (CT) or magnetic resonance imaging (MRI) scan (Clinical principle).3.For patients with suspected renal malignancy, a baseline chest X-ray is suggested to assess for pulmonary metastases (Conditional recommendation, low certainty in evidence of effects).4. Patients with SRM and pre-existing renal dysfunction in whom a radical nephrectomy is being considered, may be offered renal scintigraphy when the result may alter their management (Clinical principle). 5. Patients with SRM should be offered a renal mass biopsy when the result of the biopsy may alter their management (Adopted from Kidney Cancer Research Network of Canada [KCRNC] consensus on the role of
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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".