Bremelanotide and flibanserin for low sexual desire in women: the fallacy of regulatory precedent
Bibliographic record
Abstract
The US Food and Drug Administration (FDA) has approved two drugs for 'hypoactive sexual desire disorder' in women, flibanserin (Addyi) in 2015 and bremelanotide (Vyleesi) in 2019. In this paper we examine the outcome measures and clinical trial data upon which regulatory approval was based. In clinical trials, flibanserin led to an average of only one additional enjoyable sexual experience every two months, bremelanotide to none. Trials for both drugs feature shifts in primary outcomes and a contested indication. A politicised industry-sponsored advocacy campaign and conflicted patient and expert testimony likely influenced flibanserin's approval at its third attempt. Bremelanotide, with even weaker efficacy, capitalised on the regulatory precedent set by the approval of flibanserin. Reconsideration of regulatory decisions to approve these drugs is in order, as well as a broader examination of how future regulatory decisions can better address conflicts of interest and clinically meaningful benefit.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".