The burden of erectile dysfunction in dialysis patients in Senegal
Bibliographic record
Abstract
Erectile dysfunction (ED) is very common in dialysis patients because of organic and psychological risk factors. It has a negative impact on patients' quality of life. In Senegal, ED is assumed to be frequent in the general adult population but its prevalence in dialysis patients is unknown. This cross-sectional study aimed to assess the prevalence and risk factors associated with ED in Senegalese dialysis patients. Seventy dialyzed men >18 years old were included. Erectile dysfunction was assessed using the abridged version of International Index of Erectile Function already validated in dialysis patients. Multivariate analysis was performed to identify the factors associated with ED in patients. The mean age of the patients was 52 ± 11.3 years (21-70 years) and the median dialysis vintage was 39.4 months (interquartile range 9-51 months). The prevalence of ED was 81.5% for all patients (80% in hemodialysis and 81.75% in peritoneal dialysis). Severe ED was found in 11.5% of patients. The prevalence of ED was 74.5% in patients younger than 50 years and 86.6% in those 50 years or older. Marital status, comorbidity, hemoglobin level, and use of antihypertensive drugs were not different between patients with and without ED. Libido was conserved in 77% of patients and 44.7% were not satisfied during sexual intercourse. Multivariate analysis identified age and dialysis vintage as risk factors of ED in our patients. Only 7 patients received treatment for ED and 22% sought a consultation with a specialist (urologist and psychologist).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".