EXPLORING THE IMPACT OF DRUG ANXIOLYTICS ON COGNITIVE FUNCTIONING IN ELDERLY PATIENTS
Bibliographic record
Abstract
Background: The effect of anxiolytics on cognitive functioning in elderly people could be an interesting topic of research because these drugs are frequently used to treat anxiety disorders, which are experienced by a large number of elderly people. The use of anxiolytics (e.g. benzodiazepines or new non-benzodiazepine sedatives) has been associated with cognitive impairment as one of the possible side effects. This study at a specific institution like Lady Reading Hospital (LRH) in Peshawar will have the advantage of collecting data from a local healthcare setting which will provide information that is relevant to the population served by the hospital. Objective: To evaluate the cognitive effects of anxiolytic medications in elderly patients, there is a need to concentrate on short-term memory, attention, and executive functioning. Study design: A prospective observational study. Place and duration of study: Department of Pharmacy at Lady Reading Hospital, Peshawar, from 11-January -2020 to 11-July 2020. Methods: The current study was an observation, that analyzed 300 elderly patients at Lady Reading Hospital, and the results showed the cognitive functions between 150 anxiolytic users and 150 controls. Evaluation of cognitive function was done by using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) before and after the medication period. Results: This portion of the report will describe the results of the study, including the changes in cognitive scores related to anxiolytic administration. The results of our study would be presented statistically with the correlation between drug type, dosage, duration of use, and cognitive outcomes being reported. Conclusion: Anxiolytic uptake in elderly patients is associated with deterioration of cognitive function as shown by lower MMSE and MoCA scores post-treatment. Practitioners need to weigh the cognitive side effects carefully when deciding to prescribe anxiolytics to this group of people.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 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".