Factors associated with preference for sildenafil citrate and tadalafil for treating erectile dysfunction in men naïve to phosphodiesterase 5 inhibitor therapy: <i>post hoc</i> analysis of data from a multicentre, randomized, open‐label, crossover study
Notice bibliographique
Résumé
OBJECTIVES: To determine if baseline characteristics, treatment efficacy, psychosocial outcomes or tolerability were associated with patient preference for sildenafil citrate (sildenafil) or tadalafil for treating erectile dysfunction (ED) in men naive to phosphodiesterase 5 inhibitor therapy. PATIENTS AND METHODS: In an open-label, crossover study of sildenafil (25, 50 or 100 mg) and tadalafil (10 or 20 mg), dosed as needed, after a 4-week baseline assessment, 367 men with ED were randomly assigned to sildenafil followed by tadalafil or vice versa (8-week dose optimization and 4-week assessment phase for each treatment period). Patients completing both periods chose which treatment they preferred for an 8-week extension phase. Bivariate logistic regression and stepwise logistic regression were used to determine if any baseline characteristics or post-baseline measurements were associated with the patients' treatment preference. Baseline variables examined were age, race, ED aetiology/duration, body mass index, smoking status, alcohol consumption, vital signs, comorbid medical conditions, and baseline scores for the International Index of Erectile Function (IIEF) domains, Psychological and Interpersonal Relationship Scales (PAIRS) domains, and Sexual Encounter Profile (SEP) diary questions. Post-baseline variables examined were therapy sequence, dosage, and differences in IIEF and PAIRS domains, SEP scores, in number/timing of sexual attempts and in the severity of side-effects (overall patient perception). RESULTS: Of 291 patients completing both treatments and indicating a preference, 85 (29%) preferred sildenafil and 206 (71%) preferred tadalafil. Variables were individually analysed using bivariate analysis; one baseline characteristic (presence/absence of hyperlipidaemia) and 13 post-baseline measurements were significantly associated with the patients' treatment preference. Variables were analysed as a group using stepwise logistic regression; a set of six post-baseline factors was identified as significantly associated with patient preference. Dosage choice, reductions in the PAIRS time concerns domain, IIEF intercourse satisfaction domain improvements, smaller side-effect severity scores, more sexual attempts, and increased SEP4 scores (satisfaction with erection hardness) during the tadalafil or sildenafil treatment periods were all significantly associated with preference for tadalafil or sildenafil. CONCLUSIONS: We identified no baseline characteristics that prospectively distinguish patients who will prefer tadalafil or sildenafil. Patient differences in time concerns, dosage choice, intercourse satisfaction, treatment tolerability, number of sexual attempts and satisfaction with erection hardness were the set of factors most significantly associated with treatment preference, and the preference observed for tadalafil (71%) or sildenafil (29%) might be substantially accounted for by differences in these factors during the tadalafil and sildenafil treatment periods.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».