Fist-Palm Test (FiPaT): a bedside motor tool to screen for global cognitive status
Bibliographic record
Abstract
OBJECTIVE: The Fist-Palm Test (FiPaT) is a novel non-verbal task to be used at the patient's bedside for a cognitive functions screening. The aims of this study are to analyze (I) the qualitative and quantitative performance features at FiPaT, (II) the psychometric characteristics of FiPaT, and (III) the correlation between FiPat and traditional cognitive assessments in subjects with normal cognition (NC), Mild Cognitive Impairment-single domain (MCI-sd), and Mild Cognitive Impairment-multiple domain (MCI-md). METHODS: One hundred-thirteen subjects (53M/60F), with a mean age of 66.28 ± 7.22 years and 11.08 ± 4.93 years of education, were recruited and underwent a complete neuropsychological battery and FiPaT. RESULTS: We found 68 subjects with NC, 31 with MCI-sd, and 14 with MCI-md and a high reliability of the FiPaT (alpha =0.762). The number of FiPaT errors correlated with age and all neuropsychological tests, except for the memory recall test. Subjects with MCI had greater FiPaT errors than subjects with NC. The FiPaT, used with the MOCA test, predicted the presence of MCI, with a variance of 44%. CONCLUSION: The FiPaT is an acceptable and reliable non-verbal test, able to screen for global cognitive status, attention, and executive functions, and to predict the MCI. Future studies will validate this initial findings as well as the discriminatory role of the FiPaT in detecting specific types of cognitive impairment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".