The interaction between inflammation, urinary symptoms and erectile dysfunction in early‐stage prostate cancer treated with brachytherapy
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
Erectile function has been shown to decline as a function of increasing peripheral blood inflammatory markers, namely the neutrophil-to-lymphocyte ratio (NLR). We evaluated if the association between NLR and erectile dysfunction (ED) applies to patients with localised prostate cancer. We included 1,282 patients who underwent brachytherapy. ED was classified before treatment according to the Terminology Criteria for Adverse Event Scale version 3.0. ED was defined as the need for the use of oral pharmacologic or mechanical assistance to have satisfactory sexual function. We found that patients with ED were older (p < .001), more likely to have hypertension (p = .002), statin use (p = .002), diabetes (p < .001) or an IPSS ≥ 8 (p < .001). On univariable logistic regression analysis, an NLR of ≥3 was statistically significantly associated with ED (OR 1.32, p = .029). But on multivariable analysis, the association between elevated NLR and ED was not statistically significant (p = .17). Significant were age (OR 1.12, p < .001), IPSS ≥ 8 (OR 1.50, p = .008), the presence of hypertension, hyperlipidemia and diabetes (OR 2.27, p < .001), and prostate volume (OR 0.99, p = .041). The NLR does appear to be a surrogate marker of chronic inflammation that causes baseline ED in patients with localised prostate cancer.
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 | 0.000 | 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