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Record W2953630757 · doi:10.1016/j.jsxm.2019.05.012

Responder Analyses from a Phase 2b Dose-Ranging Study of Bremelanotide

2019· article· en· W2953630757 on OpenAlexfundno aff
Stanley E. Althof, Leonard R. Derogatis, Sally Greenberg, Anita H. Clayton, Robert Jordan, Johna Lucas, Carl Spana

Bibliographic record

VenueThe Journal of Sexual Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
FundersJanssen BiotechSage TherapeuticsAlkermesCovis PharmaMinisterul Cercetării, Inovării şi DigitalizăriiValeant Pharmaceuticals International
KeywordsHypoactive sexual desire disorderDose-ranging studyFemale sexual dysfunctionMedicineReceiver operating characteristicOrgasmSexual functionMinimal clinically important differenceSexual desireDistressSexual dysfunctionInternal medicinePsychologyClinical psychologyRandomized controlled trialPlaceboHuman sexualityDouble blindPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Responder analyses are used to determine whether changes that occur during a clinical trial are clinically meaningful; for subjective endpoints such as those based on patient-reported outcomes (PROs), responder analyses are particularly useful. AIM: To identify the minimal clinically important difference (MCID) for selected scores on questionnaires assessing female sexual functioning and to use these differences to analyze the response in a large, controlled, phase 2b, dose-finding study of bremelanotide in premenopausal women with hypoactive sexual desire disorder (HSDD) and mixed HSDD/female sexual arousal disorder (FSAD). METHODS: The responder analyses were performed for the change from baseline to end of study for a total of 7 endpoints. Each PRO endpoint was assessed using at least 1 of 4 types of responder analyses: a planned analysis anchored to MCIDs based on expert estimates (historical anchors); post hoc analyses based on self-reported global benefit; receiver operating characteristic (ROC) curves; and cumulative distribution function. The prespecified analysis groups were all female sexual dysfunction (FSD)-based diagnoses (all study participants), those with HSDD alone, and a combined group of those with FSAD alone plus those with mixed HSDD/FSAD. Post hoc analyses were also performed for subjects with mixed HSDD/FSAD with a primary diagnosis of HSDD. OUTCOMES: MCIDs based on the ROC curves for changes in Female Sexual Function Index-desire domain, Female Sexual Distress Scale-Desire/Arousal/Orgasm (FSDS-DAO) total score, FSDS-DAO item 13 and 14 scores, and number of satisfying sexual events. RESULTS: Outcomes matched those based on input from clinical experts. For all 7 endpoints, responder rates at the 1.75 mg dose in the overall modified intention-to-treat population achieved statistical significance compared with placebo (P ≤ .03). CLINICAL IMPLICATIONS: These responder definitions were subsequently used in the bremelanotide phase 3 registration studies (RECONNECT) that evaluated the safety and efficacy of the bremelanotide 1.75 mg subcutaneous dose in premenopausal women with HSDD. STRENGTHS & LIMITATIONS: MCIDs for this study were based on changes from a single-blind phase to account for changes due to the placebo effect. These analyses were restricted to a study population composed only of premenopausal women with a clinical diagnosis of HSDD and/or FSAD and were based on data from the same clinical trial. CONCLUSION: Bremelanotide was safe and well tolerated and demonstrated significant improvement in efficacy vs placebo in the phase 2b trial. The multiple responder analyses offer a valuable approach for determining clinically important effects of bremelanotide for HSDD and FSAD. Althof S, Derogatis LR, Greenberg S, et al. Responder Analyses from a Phase 2b Dose-Ranging Study of Bremelanotide. J Sex Med 2019;16:1226-1235.

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 imitation

Not 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.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.157
GPT teacher head0.438
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2019
Admission routes1
Has abstractyes

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