(020) Post-SSRI/SNRI Sexual Dysfunction: A review
Bibliographic record
Abstract
Abstract Introduction Post-SSRI-SNRI Sexual Dysfunction (PSSD) is conceptualized as distressing issues with sexual function/pleasure that emerge with SSRI/SNRI initiation and persist after SSRI/SNRI termination and depression remission, and that are not due to other contributors. Although there is increasing recognition of PSSD in clinical practice and research, it is not well understood, researched, or managed. Objectives To provide an overview of SSRIs/SNRIs and their side effects (sexual and otherwise), to present and evaluate the working definition of PSSD, to describe current etiological theories and management strategies of PSSD, and to highlight future directions. Methods A review of the literature was undertaken in order to understand the current conceptualization of PSSD. Particular attention was paid to sexual and nonsexual side effects of PSSD as well as etiological theories and management strategies. Results SSRIs and SNRIs often lead to sexual side effects, which may affect treatment adherence and compliance. A small subset of individuals may develop PSSD, in which distressing sexual dysfunction persists after termination of the SSRI/SNRI and can last months to years. Nonsexual side effects (e.g., cognitive, emotional) have also been reported, and the desire for informed consent as well as collaborative health care has been reported by those affected. PSSD has been recognized as a medical condition by the European Medicines Association since 2019. Conclusions PSSD is increasingly recognized as a potential side effect of SSRI/SNRI use, and concerted collaboration and effort is needed in order to comprehensively understand this condition and its management. Disclosure No.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".