Quality of life of mild cognitive impairment patients with type 2 diabetes mellitus and hypertension
Bibliographic record
Abstract
Mild cognitive impairment (MCI) is a progressive neurodegenerative disease on which diabetes mellitus and hypertension play an important role as major risk factors. This study aims to assess the quality of life of MCI patients with type 2 diabetes and hypertension. A cross sectional study was carried out in a tertiary care teaching hospital. Cognitive status of patients were assessed by Addenbrooke’s Cognitive Examination III (ACE-III) and Montreal Cognitive Assessment (MoCA). Mild Cognitive Impairment Questionnaire (MCQ) was used to score the quality of life. SPSS 21.0 was used to perform statistical analysis. Kruskal-Wallis test and Mann Whitney U test were used to analyze the relationship between quality of life and demographic parameters. Totally 1887 patients with type 2 DM and hypertension were screened to detect MCI patients. The prevalence of MCI in the population was found to 24.64%. Mean age of the population was 45.12 ± 10.54. Quality of life of patients was affected due to MCI with diabetes and hypertension in early ages. Patients employed in Govt or private sector (p=0.021) and disease duration less than 10 years (p=0.025) had significantly better quality of life. Two domains of MCQ, such as emotional concern and practical concern were assessed separately found that MCI patient’s practical concern scores did not differ significantly from emotional concern scores (p= 0.874). Quality of life was affected in MCI patients with diabetes and hypertension in early ages. Routine clinical examination should consider the quality of life as an important parameter during the patient visit and necessary modifications should be given to enhance the quality of life as well as patient satisfaction.
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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 | 0.002 |
| 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 | 0.001 | 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".