Preferences for sexual information resources in patients treated for early‐stage prostate cancer with either radical prostatectomy or brachytherapy
Bibliographic record
Abstract
OBJECTIVE: To identify the preferences for sexual information resources of patients before and after definitive treatment for early-stage prostate cancer with either radical prostatectomy (RP) or brachytherapy. PATIENTS AND METHODS: Two hundred patients (mean age 64 years) treated with either RP or brachytherapy were recruited from radiation oncology (100) and urology (100) outpatient clinics. Patients completed a survey questionnaire to identify the types of information used, preferred sources of information, knowledge of treatments for erectile dysfunction (ED), effect of sexual function on the treatment decision, and the International Index of Erectile Function (IIEF) to assess their current level of sexual function. RESULTS: Urologists were identified as the main source of sexual information. Written information, Internet access and videos were identified as preferred sources of information before and after treatment. The effects of treatment on sexual function had no apparent significant influence on the men's definitive treatment choice. Compared with patients in the brachytherapy group, patients in the RP group reported having significantly higher levels of sexual desire (P < 0.001) after treatment, but otherwise the erectile domains of the groups were remarkably similar. Two-thirds of patients wanted more information on the effects of treatment on sexual function, and on available treatments for ED. CONCLUSIONS: These results support the need for physicians to offer patients access to information on the effect of treatment for early-stage prostate cancer on erectile function before and after treatment.
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 | 0.001 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".