Cognitive Neurology Continuing Medical Education: History Taking and Bedside Mental Status Examination in a Patient with Dementia
Bibliographic record
Abstract
In a patient presenting with forgetfulness, history taking comprises asking questions pertaining to specific cognitive domains namely memory, language, executive function, visuospatial functions, and social cognition to characterize the clinical phenotype. The next step is to administer a standardized screening test for cognitive assessment, namely the Montreal Cognitive Assessment (MoCA)/mini mental status examination (MMSE). These have been validated in five Indian languages. Detailed lobar function tests to assess functions of frontal, temporal, parietal, and occipital lobes namely planning, set-shifting, recent and remote memory, apraxia, agnosia, cortical sensory loss, language, etc., are the final step to identify the possible subtype of dementia. Attention testing with random letter cancellation test must be performed at the outset, as an inattentive patient cannot complete rest of the examination. Clock drawing is a simple bedside test that can assess global cognitive functions by detecting deficits in attention, planning, right-left orientation, constructional ability, visuospatial orientation, and neglect.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".