Systematic Review and Network Meta‐Analysis of the Effects of Plant Extracts on Cognitive Function and Quality of Life in Stroke Patients
Notice bibliographique
Résumé
In recent years, numerous researchers have focused on plant extracts derived from traditional medicines to treat stroke, as these extracts may improve patients' cognitive function and quality of life. This study aims to evaluate the effects of nine distinct plant extracts ( Ginkgo biloba extract, Ginsenosides, Berberine, St. John's Wort extract, Resveratrol, Gastrodin, Crocus sativus L., Moringa oleifera Seed extract, and Panax Notoginseng Saponins) on cognitive function and quality of life in stroke patients. This study seeks to conduct a network meta-analysis to assess the impact of these plant extracts on cognitive function and quality of life in stroke patients. Researchers systematically searched the Embase, PubMed, Cochrane Library, and Web of Science databases from database inception through October 2024 searched for randomized controlled trials (RCTs) exclusively(no language restrictions). The selected studies were evaluated for methodological quality via the Cochrane bias risk assessment tool, and data analysis software was used to analyze the data accordingly. The primary outcome measures included the following assessment scales: National Institute of Health Stroke Scale (NIHSS), Modified Rankin Scale (mRS), Activities of Daily Living Scale (ADLs), Barthel Index (BI), Montreal Cognitive Assessment (MOCA), and Mini-Mental State Examination (MMSE). Treatment effects were ranked based on probability values derived from the surface under the cumulative ranking curve (SUCRA). Moreover, cluster analysis was applied to evaluate the effects of plant extracts on six scales that reflect cognitive function and quality of life in patients. After screening, 48 eligible randomized controlled trials were included, covering 6599 stroke patients and evaluating nine different plant extract treatments. Specifically, results from 33 trials were included in the NIHSS score, 10 in the mRS score, 11 in the ADL score, 11 in the BI score, nine in the MMSE score, and eight in the MOCA score. Findings indicate that St. John's Wort extract (SUCRA 71.2%) was the most effective in reducing NIHSS scores, Berberine (SUCRA 84.1%) was most effective in reducing mRS scores, and St. John's Wort extract (SUCRA 99.1%) showed the highest efficacy in enhancing ADL scores. Ginsenosides were the most effective in improving Barthel Index (SUCRA 74.7%), MMSE (SUCRA 93%), and MOCA (SUCRA 79.7%) scores. The NMA indicates that, compared to placebo, St. John's Wort extract, Berberine, and Ginsenosides can enhance cognitive function and improve quality of life in stroke patients. This study provides valuable insights into using plant extracts for stroke treatment, potentially guiding clinical practice, but there are some unavoidable limitations to our study, including heterogeneity, differences in extraction methods of plant extracts, and lack of consideration of social support systems and dose effects. Future longer follow-up, larger samples, and more methodologically rigorous randomized controlled trials are recommended to clearly establish the effects of different dosages on cognitive function and quality of life in stroke patients.
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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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,001 |
| Bibliométrie | 0,000 | 0,002 |
| 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 | 0,000 |
| 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 ».