Persistent Genital Arousal Disorder: a Biopsychosocial Framework
Bibliographic record
Abstract
Abstract Purpose of Review Persistent genital arousal disorder (also referred to as genitopelvic dysesthesia or PGAD/GD) is a distressing and largely underrecognized condition characterized by persistent, unwanted genital arousal (sensations, sensitivity, vasocongestion) in the absence of subjective/cognitive arousal and sexual desire. The purpose of this review is to summarize recent findings on biological and psychosocial factors in PGAD/GD as they pertain to the assessment and treatment of this condition. These findings will be considered within a biopsychosocial framework, for the purposes of considering next steps for clinical and research efforts. Recent Findings A small number of studies have recently examined potential biological aetiologies for PGAD/GD: pharmacological agents, spinal pathology and peripheral nerve involvement. Recent studies have also found that PGAD/GD is associated with a significant negative impact on psychosocial wellbeing and daily functioning as compared to symptom-free individuals. In addition, these results highlight cognitive/affective responses to symptoms (e.g. catastrophizing of symptoms) that may influence outcomes. However, biological and psychological research are rarely integrated in these studies, despite the interrelationship between these factors. Summary Although PGAD/GD was first described in the scientific literature almost two decades ago, most research on PGAD/GD is presented in the form of case studies. Prospective treatment trials that integrate biopsychosocial factors are needed in order to provide effective and efficient care to this population. This research would be facilitated by the development of a patient-reported outcome measure, as well as greater education/awareness among healthcare providers and the public about this distressing condition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".