Investigation of cognitive screening measures in patients with brain tumors: Diagnostic accuracy and correlation with quality of life
Notice bibliographique
Résumé
e13000 Background: Brief cognitive screening measures are often selected by clinicians and researchers for brain tumor patients, primarily because of their ease of use. Currently, the Mini Mental State Examination (MMSE) is the most commonly chosen, despite a reported low sensitivity. The primary objective of this study was to compare the sensitivity of the MMSE with the Montreal Cognitive Assessment (MoCA). Methods: 44 patients with brain tumors were prospectively accrued and administered the MMSE and MoCA by blinded investigators, 75% of who completed a 4-hour “gold standard” neuropsychological assessment (NPA). Quality of life and community integration were measured with the Functional Assessment of Cancer Therapy-Brain (FACT-Br) and Community Integration Questionnaire (CIQ), respectively. McNemar's test was used to compare sensitivity and specificity at pre-defined cutoff scores and receiver operating characteristic curve analyses were used to examine outcomes across all cutoffs. Correlations were assessed with Spearman's rank correlation coefficient. Results: 55% of patients met criteria for the DSM-IV diagnosis of Cognitive Disorder NOS on the NPA. Using pre-defined cutoffs, the MoCA was significantly more sensitive than the MMSE (55.5% versus 16.6%; p = 0.016), although specificity of the MoCA was poor (60.0%). MMSE scores below 27 were 100% specific; however, this applied to only three subjects. Furthermore, 39% of cognitively impaired subjects scored perfectly on MMSE. A MoCA cutoff of 22 had 28% sensitivity and 93% specificity, and a cutoff of 28 had 94% sensitivity and 20% specificity. The MoCA was correlated with both the FACT-Br (r = 0.319, p = 0.04) and CIQ (r = 0.427, p = 0.005), while MMSE scores did not correlate with either (p > 0.2). Conclusions: The MoCA is more sensitive than the MMSE, though at no cutoff is it both sensitive and specific. Despite its limitations, the MoCA may offer cost saving in the oncology clinic as a cognitive screen: individuals with MoCA scores a) below 22 are likely cognitively impaired, b) above 27 are likely cognitively normal, and c) 22–27 would likely benefit most from NPA. Furthermore, the MoCA is better able to detect cognitive impairment that is related to functional limitations and quality of life. [Table: see text]
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 | 0,002 | 0,069 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 ».