Standards for Clinical Trials in Sexual Dysfunction in Women: Research Designs and Outcomes Assessment
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Clinical trial design in female sexual dysfunction (FSD) is an evolving science, with some areas of controversy. AIM: To develop an evidence-based, expert consensus-report on design of FSD clinical research. METHODS: Literature review including the Food and Drug Administration (FDA) clinical trial guidelines with critique by six experts from three countries, modified after public presentation and debate. MAIN OUTCOME MEASURE: Expert opinion and recommendations were based on grading of evidence based literature, internal committee dialogue, open presentation, and debate. RESULTS: Design of clinical research for regulatory approval is driven by FDA guidelines. Diagnostic and Statistical Manual-IV definitions and consideration of comorbidity of sexual disorders may complicate patient selection and outcomes. Measures for study end points include satisfying sexual events utilizing a daily diary, sexual distress, and patient-reported outcomes measures of the construct under study. Currently, trial duration is recommended to be 6 months for efficacy trials to allow for modification of behavioral adaptations to changes in desire. Important issues include safety assessments, generalizability, having a representative study population, stratification by reproductive status, partner assessment, contextual and interpersonal factors, symptom duration and severity, management of placebo response, and drug dosing. Statistical analysis should include assessment of change from baseline to end point between study drug and placebo, determination of statistically significant change vs. clinically meaningful effects, linear mapping of all measures of the same construct, and determination of responders and remitters. CONCLUSIONS: Future trials should include clear population definitions, direct and indirect measures of the specific FSD construct, and procedures to allow generalizability of diagnosis and treatment to the target population.
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.
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 | 0.162 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it