Bibliographic record
Abstract
The frequency of dementia is increasing steadily, and it is currently estimated that 60% of patients suffering from this disease reside in developing countries. An improvement in health care services for this elderly patients must be anticipated to assist in reducing the patient burden to their communities, families, and health systems; alternately, contributions made by hospitals through their diagnostic efforts and treatment of patients are of great importance. The purpose of this study was to evaluate the health records (n = 246) of patients in a dementia clinic for data regarding age, sex, occupation, reason for presentation, laboratory findings, neuropsychological tests, diagnoses made at presentation, and follow-up visits. Patients aged ≥ 60 years with cognitive symptoms were included in the study; mean age was 74.4 (SD, 7.58) years, with a predominantly female population (n = 142; 57.7%). The main reason for patient presentation was memory problems (n = 238; 96.7%). Administration of the Mini-Mental State Examination (MMSE) revealed a mean score of 19.14 (SD, 8.24) across the patient population; Montreal Cognitive Assessment mean test scores were 20.9 (SD, 5.31); and Clock Drawing Test median score was 2 points (min-max, 0-4). The most common diagnoses were Alzheimer-type dementia (n = 167; 67.9%) and mild cognitive impairment (n = 49; 19.9%). During a 31-month period, the dementia outpatient clinic was visited an average of 2.79 (SD, 2.32) times. Findings indicated that women had higher vitamin B12 levels (P = 0.001), lower MMSE scores (P = 0.022), fewer follow-up visits (P = 0.006), and higher low-density lipoprotein cholesterol levels (P = 0.02).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 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".