Impact of newly diagnosed prostate cancer at time of evaluation for renal transplantation
Bibliographic record
Abstract
Systematic screening for prostate cancer is widely recommended in candidates for renal transplant at the time of listing. There are concerns that overdiagnosis of low-risk prostate cancer may result in reducing access to transplant without demonstrated oncological benefits. The objective of the study was to assess the outcome of newly diagnosed prostate cancer in candidates for transplant at the time of listing, and its impact on transplant access and transplant outcomes according to treatment options. This retrospective study was conducted over 10 years in 12 French transplant centers. Patients included were candidates for renal transplant at the time of prostate cancer diagnosis. Demographical and clinical data regarding renal disease, prostate cancer, and transplant surgery were collected. The primary outcome of the study was the interval between prostate cancer diagnosis and active listing according to treatment options. Overall median time from prostate cancer diagnosis to active listing was 25.0 months [16.4-40.2], with statistically significant differences in median time between the radiotherapy and the active surveillance groups (p = .03). Prostate cancer treatment modalities had limited impact on access and outcome of renal transplantation. Active surveillance in low-risk patients does not seem to compromise access to renal transplantation, nor does it impact oncological outcomes.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".