Effect of ADMA levels on severity of erectile dysfunction in chronic kidney disease and other risk factors
Bibliographic record
Abstract
INTRODUCTION: Hormonal, neurogenic, vasculogenic, and psychogenic impairments, as well as endothelial dysfunction may play a role in erectile dysfunction (ED) in patients with chronic kidney disease (CKD). Asymmetrical dimethylarginine (ADMA) is an inhibitor of nitric oxide, which is the key element of ED. ADMA levels are increased in CKD. We aimed to evaluate the effect of serum ADMA, prolactin, testosterone, and hemoglobin levels on erectile function of patients with CKD and control subjects. METHODS: A total of 42 men with CKD and 25 age-matched controls were enrolled. The patients with CKD were categorized into group 1 and group 2 based on whether they had ED according to their response to International Index of Erectile Function questionnaire (IIEF-EFD). Group 3 was a control group. Serum ADMA, total testosterone prolactin, and hemoglobin levels of the patients were evaluated. RESULTS: Serum ADMA, testosterone, and hemoglobin levels were similar between group 1 and 2, serum prolactin level was significantly high in group 1 than in group 2 or 3 (control group). There was no correlation between ADMA levels and IIEF-EFD scores of patients with CKD. CONCLUSIONS: The results of this study suggest serum ADMA level is not related with ED in patients with CKD. Also, low testosterone and hemoglobin levels were not significant factors. High levels of serum prolactin are related with ED in patients with CKD.
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 | 0.004 |
| 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) | 0.001 | 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 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".