Late Onset Alzheimer Dementia in Patients with Genotype E3/E4: A Case Report
Bibliographic record
Abstract
BACKGROUND: Dementia is one of the leading causes of disability and dependence in elderly worldwide. Epidemiological statistics indicate that data show that at about 60–80%, Alzheimer’s is the most common type of dementia. Alzheimer’s is also the third-most prominent cause of death in elderly. CASE REPORT: A 72-years-old male patient, complained by the family often forgets about things that have just been done for 3 years ago. According to the family, patient also often discussing the same things repeatedly. Patients tend not to have the initiative to start his daily activities. The family admitted that patient also became often angry and felt suspicious for the last 2 years. From the mini mental state examination showed disturbances in time orientation and recall; from Montreal Cognitive Assessment Ina found disturbances in visuospatial, fluency, abstraction, delayed memory, and time orientation; accompanied by activities of daily living (ADL) and instrumental ADL disorders. Patient also performed a molecular examination of the apolipoprotein E (APOE) genotype and the genotype E3/E4 was detected. CONCLUSION: The function of the APOE gene, in particular APOE4, is the most emphasized genetic relationship in late onset Alzheimer’s disease. It is proposed that blocking the action of APOE4 can delay or stop Alzheimer’s disease progression.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".