Relationship between cognitive impairment and upper limb motor skills in Long-COVID patients
Bibliographic record
Abstract
Introduction: A better understanding of cognitive impairment and upper limb motor skills in Long-COVID patients is needed. Objective: The aim of this study was to evaluate the relationship between cognitive impairment and upper limb motor function in COVID patients. Methods: In this observational study, Long COVID patients from the autonomic Long COVID association were included. Cognitive impairment was assessed by Montreal Cognitive Assessment (MoCA). Upper limb motor skills included manual dexterity (assessed by Coin Rotation Test (CRT) and Finger Tapping Test (FTT)), upper extremity coordination (Finger-to-Nose Test (FNT)), and motor functioning (Fugl-Meyer Upper Extremity (FMUE)). Results: Finally, a total of 25 women with a mean age of 43.93 years participated in the study. The mean MoCA total score was 24,44 ± 4,37. Cognitive impairment showed a strong positive correlation with CRT (r=0,595, p<0,001), FTT (r=0,579, p<0,001), and FNT (r=0,598, p<0,001). A significant fair positive correlation was found between MoCA and FMUE (r=0,368, p=0,05). Conclusion: This study revealed that exist a relationship between cognitive impairment and upper-limb motor skills in Long COVID patients.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".