Positive outcomes with first onabotulinumtoxinA treatment persist in the long term with repeat treatments in patients with neurogenic detrusor overactivity
Notice bibliographique
Résumé
OBJECTIVE: To examine whether response to first treatment with onabotulinumtoxinA is predictive of long-term treatment outcome in patients with neurogenic detrusor overactivity (NDO). PATIENTS AND METHODS: Patients with NDO who were enrolled in a 3-year extension study (after a 52-week phase III study) received onabotulinumtoxinA 'as needed', based on fulfilment of prespecified retreatment criteria. This post hoc analysis included patients who received only the 200-U dose during the phase III and extension studies. Data on mean percent reduction from baseline in urinary incontinence (UI) episodes at week 6 after the first treatment were analysed, and the patients were stratified into three response groups: <50% (group 1; n = 33), 50-74% (group 2; n = 23), and 75-100% (group 3; n = 139). The following were assessed: change from baseline in mean percent UI reduction; proportions of patients who achieved ≥50% and 100% UI reduction after each subsequent treatment, and patients who achieved ≥50% UI reduction after all subsequent treatments; change from baseline in Incontinence Quality of Life (I-QOL) total summary score; and the proportion of patients who achieved or exceeded the minimally important difference (MID; +11 points) in I-QOL score. Adverse events (AEs) were also assessed. RESULTS: The majority of the patients (83.1%; 162/195) experienced a ≥50% UI reduction after onabotulinumtoxinA treatment 1. Baseline characteristics were largely similar across the groups. After treatment 1, the mean percent reduction in UI remained consistent in subsequent treatments 2-6 for patients in response group 2 (range: 64.5-83.5%) and group 3 (range: 79.4-88.0%), but increased for those in the low response group (range: 36.3-60.3%). After treatment 1, the proportion of patients who achieved ≥50% reduction in UI episodes was consistent with subsequent treatments 2-6 in group 2 (range: 75.0-100%) and group 3 (range: 87.3-97.1%), but increased in the low response group (range: 48.3-72.7%). Even among those who achieved a low response after treatment 1, 37.9% of patients achieved ≥50% UI reduction in all subsequent treatments. Improvements in I-QOL scores in groups 2 and 3 were consistently 2-3 times the MID. In the low response group, at least 50% of the patients achieved or exceeded the MID with treatments 2-6. AEs were similar across all response groups and consistent across repeated treatments. CONCLUSION: Patients with NDO with a ≥50% UI reduction after their first onabotulinumtoxinA treatment continued to experience consistent improvements in UI and quality of life with subsequent treatments over the duration of 4 years. A <50% UI reduction after first treatment did not necessarily predict low response with subsequent treatments. Thus, these results underscore the importance of attempting at least a second treatment with onabotulinumtoxinA before deeming patients unsuitable for onabotulinumtoxinA therapy.
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 | 0,005 |
| 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 | 0,001 | 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) | 0,001 | 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 ».