P05.01 the efficacy of donepezil on cognitive function in postoperative brain tumor patients
Notice bibliographique
Résumé
Abstract BACKGROUND Cognitive impairment is frequently found in brain tumor patients. More than 90% of patients with brain tumor have at least one cognitive domain disturbance. Decline in cognitive function could happen before due to the tumor or after the treatment because of surgery, radiotherapy or chemotherapy. Until now there is no available standard treatment for patients with cognitive impairment due to brain tumor. Moreover, Donepezil is an acetylcholinesterase inhibitor known to be useful for improving cognitive function in patients with dementia. This clinical study aims to determine the cognitive effects of donepezil therapy in patients with brain tumors following surgery. MATERIAL AND METHODS This is a pilot study with total of 20 adult brain tumor patients were double blinded randomly assigned to receive a single daily dose (5mg for 12 weeks) of donepezil or placebo. The inclusion criteria were patients with primary brain tumor who had undergone surgery with cognitive impairment at the initial evaluation and age range 18 to 65 years old. Patients with previous cognitive problem, other diseases that can cause cognitive decline e.g. stroke and history of taking donepezil, memantine, methylphenidate, ginkgo biloba, and modafinil were excluded. A cognitive test using Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Indonesia Version (MoCA-INA) assessing memory, attention, language, visuospatial, verbal fluency, and executive functions were administered before random assignment and at 4, 8 and 12 weeks. A cognitive composite score (primary outcome) and individual cognitive domains were evaluated. Furthermore, side effects and adverse events were also recorded. RESULTS Of this mostly middle-age (30–60 years old), female, meningioma as primary brain tumor with frontal and temporal lobe are the most frequent locations. After 12 weeks of treatment, the composite scores did differ significantly between groups (MMSE P=0.027, MoCA-INA P=0.024). Furthermore, the significant differences favouring donepezil were observed for orientation and recall domains using MMSE with p value 0.017 and 0.006 respectively. Visuospatial (P=0.034) and delayed recall domains (P=0.004) were significant through MoCA-INA evaluation. In addition, Mean MMSE score for pre-donepezil administration was 14.60 ± 4.47 and after 3 months was 20.40 ± 4.24 (P=0.000). Mean MoCA-INA score for pre-donepezil administration was 9.30 ± 3.65 and after 3 months was 15.30 ± 4.24 (P=0.000). However, there was no differences in the placebo group (MMSE P= 0.066, MoCA-INA P=0.313). CONCLUSION Three months treatment with donepezil significantly improve the cognitive functions among post-operative brain tumor patients with no reported side effect. Moreover, further research is needed for longer duration of follow-up and possibility of increased doses.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| 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 | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».