Investigation of cognitive screening measures in patients with brain tumors: Diagnostic accuracy and correlation with quality of life
Bibliographic record
Abstract
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]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.069 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".