Comparative efficacy and safety of estradiol transdermal preparations for the treatment of vasomotor symptoms in postmenopausal women
Notice bibliographique
Résumé
OBJECTIVE: Divigel and Estrogel are estradiol gels for the treatment of postmenopausal women with moderate to severe vasomotor symptoms. They differ with respect to several factors including estradiol concentration and surface application, and cannot be compared solely on the basis of their estradiol dose. No randomized clinical trials have compared them head to head, but both have been compared with placebo. Therefore, the objective of this study was to conduct a systematic review and network meta-analysis of the two estradiol gels. METHODS: We performed a comprehensive systematic literature review. One publication reporting on one Divigel trial, three publications reporting on two Estrogel trials, and five publications reporting on other estradiol transdermal preparations were identified. Efficacy outcomes were change from baseline in daily hot flush frequency and change from baseline in daily hot flush severity. Safety outcomes were frequency of treatment-related adverse events (AEs) and frequency of treatment-emergent AEs leading to discontinuation. Bayesian indirect treatment comparison meta-analysis of trial-level data was performed in accordance with the International Society for Pharmacoeconomics and Outcomes Research, Academy of Managed Care Pharmacy, National Pharmaceutical Council (ISPOR-AMCP-NPC) Good Practice Questionnaire. All outcomes were compared with respect to doses of the considered preparations. RESULTS: For hot flush frequency, Divigel 0.25 mg was similar to Divigel 0.5 mg and to Estrogel 0.75 mg, and was statistically significantly superior to Estrogel 1.5 mg. The largest effect was observed with Divigel 1.0 mg (mean difference of 3.91 hot flushes/wk vs placebo), and was statistically significantly superior to all other interventions. The 1.5 mg Estrogel dose was associated with the smallest estimate of efficacy. For hot flush severity, Divigel 0.25 mg was similar to the efficacy of Divigel 0.5 mg, and for 0.25 mg and 0.5 mg of other estradiol gels, but was statistically inferior to Divigel 1.0 mg, Estrogel 0.75 mg, Estrogel 1.5 mg, and the 1.0 and 1.5 mg doses of all other estradiol gels. The estimated efficacy of Divigel 0.5 mg was similar to that of Estrogel 0.75 mg, Estrogel 1.5 mg, and the 0.25 and 0.5 mg doses of other transdermal estradiol preparations. Risks of treatment-related AEs for Divigel 0.25 mg, Divigel 0.5 mg, Estrogel 0.75 mg, and Estrogel 1.5 mg were similar and all were of a slightly higher risk than placebo. Among these, Divigel 1.0 mg, Estrogel 1.5 mg, and other gels 0.5 mg were statistically significantly less safe than placebo. However, for treatment-emergent AEs leading to discontinuation, none of the gels were associated with statistically significantly higher relative risks compared with placebo. In this study, statistically significant refers to the 95% credible intervals used in the Bayesian Network Analysis. CONCLUSIONS: Using network meta-analysis for indirect treatment comparison, we have shown that the efficacy of Divigel 0.25 mg, as measured by reduced hot flush frequency and severity, was similar to that of Divigel 0.5 mg and of Estrogel 0.75 and 1.5 mg. Overall, our analysis showed that Divigel 1.0 mg provided the best efficacy profile, but that this treatment was also associated with a higher risk of AEs. The network meta-analysis also showed that treatment with Estrogel 1.5 mg was associated with the smallest estimate of reduction in frequency of hot flushes.
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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 | 0,014 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,014 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».