Improving Sexual Function in People With Chronic Kidney Disease: A Narrative Review of an Unmet Need in Nephrology Research
Bibliographic record
Abstract
PURPOSE OF REVIEW: Sexual dysfunction occurs commonly in people with chronic kidney disease (CKD) and has been recognized as a research priority. We sought to evaluate the current state of the literature addressing sexual dysfunction in people with CKD and identify barriers and strategies to improve our management of this important symptom. SOURCES OF INFORMATION: OVID Medline and Google Scholar were searched for English, peer-reviewed studies using keywords and terms related to "Chronic Kidney Disease," "sexuality," and "sexual dysfunction OR function." METHODS: In this narrative review, we describe definitions of sexual dysfunction and contributors exacerbated by CKD, barriers to researching sexual dysfunction in people with CKD, and possible avenues for future research. KEY FINDINGS: Sexual dysfunction is common in people with CKD and results from a combination of kidney disease itself, as well as its associated physical (ie, comorbidities) and nonphysical factors. Barriers to the study of sexual dysfunction in CKD include inconsistent disease definitions, stigma, variable efficacy and safety of established therapies, and evolving gender roles in sexual function. Potential avenues for future research to improve the sexual function in people with CKD may include evaluating the safety and efficacy of established therapies in people with CKD using a variety of observational and interventional study designs, engaging people with CKD and multidisciplinary team members in research, and using implementation science methods to translate what is known about sexual function into clinical practice. Concerted efforts are required to break down barriers and improve sexual function in people with CKD. Patients have identified this as an important research priority, and national networks need to direct efforts to reduce symptom burden. LIMITATIONS: This narrative review was limited by a paucity of high-quality studies examining sexual dysfunction specifically in people with kidney disease.
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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 | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".