The Rapid Cognitive Screen (RCS): A point-of-care screening for dementia and mild cognitive impairment
Bibliographic record
Abstract
OBJECTIVES: There is a need for a rapid screening test for mild cognitive impairment (MCI) and dementia to be used by primary care physicians. The Rapid Cognitive Screen (RCS) is a brief screening tool (< 3 min) for cognitive dysfunction. RCS includes 3-items from the Veterans Affairs Saint Louis University Mental Status (SLUMS) exam: recall, clock drawing, and insight. Study objectives were to: 1) examine the RCS sensitivity and specificity for MCI and dementia, 2) evaluate the RCS predictive validity for nursing home placement and mortality, and 3) compare the RCS to the clock drawing test (CDT) plus recall. METHODS: Patients were recruited from the St. Louis, MO Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Medical Center (VAMC) hospitals (study 1) or the Saint Louis University Geriatric Medicine and Psychiatry outpatient clinics (study 2). Study 1 participants (N=702; ages 65-92) completed cognitive evaluations and 76% (n=533/706) were followed up to 7.5 years for nursing home placement and mortality. Receiver operator characteristic (ROC) curves were computed to determine sensitivity and specificity for MCI (n=180) and dementia (n=82). Logistic regressions were computed for nursing home placement (n=31) and mortality (n=176). Study 2 participants (N=168; ages 60-90) completed the RCS and SLUMS exam. ROC curves were computed to determine sensitivity and specificity for MCI (n=61) and dementia (n=74). RESULTS: RCS predicted dementia and MCI in study 1 with optimal cutoff scores of ≤ 5 for dementia (sensitivity=0.89, specificity=0.94) and ≤ 7 for MCI (sensitivity=0.87, specificity=0.70). The CDT plus recall predicted dementia and MCI in study 1 with optimal cutoff scores of ≤ 2 for dementia (sensitivity=0.87, specificity=0.85) and ≤ 3 for MCI (sensitivity=0.62, specificity=0.62). Higher RCS scores were protective against nursing home placement and mortality. The RCS predicted dementia and MCI in study 2. CONCLUSIONS: The 3-item RCS exhibits good sensitivity and specificity for the detection of MCI and dementia, and higher cognitive function on the RCS is protective against nursing home placement and mortality. The RCS may be a useful screening instrument for the detection of cognitive dysfunction in the primary care setting.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".