A Preliminary Study of the capacity of MoCA-cognitive domain index score to screen out the MCI patients in the elderly
Bibliographic record
Abstract
Objective To investigate whether the Montreal Cognitive Assessment (MoCA)- cognitive domain index score (CDIS) was able to find out the mild cognitive impairment (MCI) patients in the elderly. Methods Total 152 old patients were enrolled in this research from May 2009 to July 2015 in Jiangsu Provincal Geriatrics Research Institute, including normal control group (NC group,n=94) and MCI group(n=58, there were 35 mix MCI patients and 23 amnestic MCI patients). According to the formula published, we calculated the CDIS for memory (MoCA MIS), executive (MoCA LIS), visuospatial (MoCA VIS), language (MoCA LIS), attention (MoCA AIS), and orientation function (MoCA OIS) of the subjects. The total score and CDIS were compared between groups. We calculated and compared the difference in sensitivity and the specificity of each CDIS by counting the AUC of ROC.T-test or Chi-Square was further used to dertermined differences between two groups. Results The scores of MoCA total scores (MoCATS) and each subentries and CDIS in the CN group were 27.0±1.9、4.4±0.9(visuo space)、3.0±0.2(name)、2.9±0.3(attention)、2.8±0.5(calculation)、2.1±0.8(language)、1.8±0.4(abstraction)、4.0±0.9(delay memory)、5.9±0.4(orientation)、13.5±2.0(MoCA MIS)、12.1±1.1(MoCA EIS)、6.6±0.7(MoCA VIS)、5.0±0.8(MoCA LIS)、15.4±1.9(MoCA AIS)、5.9±0.4(MoCA OISA). The scores of MoCA total scores (MoCATS) and each subentries and CDIS in the MCI group were 22.2±3.1、3.5±1.3(visuo space)、2.8±0.5 (name)、2.7±0.6 (attention)、2.7±0.6(calculation)、1.8±0.7(language)、1.7±0.6(abstraction)、1.3±0.3(delay memory)、5.4±0.9(orientation)、7.8±3.4(MoCA MIS)、10.9±1.7(MoCA EIS)、5.9±1.1(MoCA VIS)、4.6±0.9 (MoCA LIS)、13.5±2.8(MoCA AIS)、5.4±0.9(MoCA OISA). The scores of MoCA total scores (MoCATS) and each subentries and CDIS in the mix MCI group were 20.8±2.8、2.8±1.0(visuo space)、2.7±0.5(name)、2.5±0.6(attention)、2.6±0.7(calculation)、1.7±0.8(language)、1.6±0.7(abstraction)、1.2±1.2(delay memory)、5.2±1.0 (orientation)、7.7±3.2(MoCA MIS)、10.0±1.4(MoCA EIS)、5.4±1.1(MoCA VIS)、4.5±1.0(MoCA LIS)、12.4±2.8(MoCA AIS)、5.2±1.0(MoCA OISA).There were significant differences in all CDIS and almost all subentries of MoCA between CN groups and MCI group except the scores of calculation and language (t=10.709、4.508、2.639、3.256、1.991、13.845、3.380、11.626、5.002、4.299、2.962、4.500、3.380,P 0.05). The AUC of other CDIS were significantly smaller than MoCATS/ MoCA MIS. The sensitivity of MoCAMIS was 91.5% and the specificity was 89.5% when the cutoff was 11. The sensitivity of MoCATS was 88.3% and the specificity was 84.5% when the cutoff was 25. Either sensitivity or specificity of MoCAMIS was better than MoCATS. Conclusion The MoCA cognitive domain index score can well present the impairment of cognitive domain in the MCI patients in clinical work. Key words: Aged; Cognitive disorders; Montreal cognitive assessment; Diagnosis
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".