Cognitive effects of COVID-19
Bibliographic record
Abstract
Objective: Neurological involvement can be seen in Covid-19 and cognitive functions can be affected negatively. There is not enough study and data about cognitive functions of patients followed with Covid-19 diagnosis. For this reason, the current study aims to examine the cognitive functions of patients diagnosed with Covid-19. Material and Methods: Patients, who were hospitalized and followed-up with the diagnosis of Covid-19, were selected as consecutive. For evaluating cognitive functions, Montreal Cognitive Assessment (MoCA) test was performed to under 65-year-old participants, Standardized Mini- Mental State Exam (MMSE) test was performed to 65-year-old and older participants and Hospital Anxiety and Depression Scale (HADS) was performed to all participants. Results: The study has consisted of 32 patients and 35 volunteers. The mean of MMSE scores was found to be lower in the patient group than the control group (p>0.05). The mean of MoCA scores was found to be lower in the patient group than the control group, and it was statistically significant (p<0.05). Also, in the sub-group analyzes that assessed the attention of the MoCA test group, the patient group scores were lower than the control group and it was statistically significant (p<0.05). Hospital anxiety scale scores of the patient group were found to be significantly higher than the control group (p<0.05). Conclusion: The result of this study is showed the presence of cognitive impairment and increased anxiety in patients with Covid-19 who had no previous cognitive deficit. Therefore, it is important to evaluate the patients with Covid-19 in terms of mood and cognition in detail.
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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 | 0.002 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".