Diagnosing Alzheimer Disease: Which Dementia Screening Tool to Use in Elderly Puerto Ricans with Mild Cognitive Impairment and Early Alzheimer Disease?
Bibliographic record
Abstract
Abstract Background Most of the time, Alzheimer Disease (AD)’s diagnosis is not made at its earliest periods and prodromal stages, for instance at Mild Cognitive Impairment (MCI) and Early Alzheimer Disease (E‐AD) stage. Commonly, AD’s diagnosis is made when significant impairment interferes with the habitual daily activities (1). Our pilot study, serves to demonstrate a correlation between the screening tools, including the Mini‐mental Status Exam (MMSE), Montreal Cognitive Assessment (MoCA) and Clinical Dementia Rating Scale (CDR), and the biological biomarkers in the cerebral spinal fluid (CSF) (Amyloid Beta 1‐42 (Aβ42 pg/mL), Tau proteins (tTau (pg/mL) and tTau/Aβ42 ratio in Puerto Ricans > 55 years old with MCI and E‐AD. To our knowledge, this is the first study trying to create a correlation between memory tests scores and underlying AD pathology to improve early detection in elderly Puerto Ricans. Method Thirty participants were evaluated including, demographics, clinical characteristics, memory scales and CSF biomarkers. CSF biomarkers (Aβ42, tTau protein, and tTau/Aβ42 ratio) were determined using the Meso Scale Discovery Platform (MSD). Associations between memory scales (MOCA, MMSE, CDR) and CSF markers were performed using Spearman’s rho correlation. Result Our study revealed statistical association in favor of a direct relationship between MMSE and tTau/Aβ42 ratio in CSF (p= .022, 95.00% CI = [‐.69, ‐.07] (Figure 1). We found a trend towards significance with an inverse relationship with MMSE and Aβ42 (p=.069) (Figure 2) and a direct relationship with MMSE and tTau (p= .098) (Figure 3). Besides, MoCA and tTau/Aβ42 ratio had a statistically significant direct relationship (p = 0.035) (Figure 4). There was no significant statistical association between CDR test with CSF biomarkers in elderly Puerto Ricans. Conclusion MMSE was the dementia screening test consistently identifying a statistically significant or a‐trend‐towards a significant association with the CSF Alzheimer Disease’ s biomarkers (Aβ42, tTau protein, and tTau/Aβ42 ratio) in elderly Puerto Ricans with MCI and E‐AD. Clinically, > 55 y/o Puerto Rican patients with MCI and E‐AD should be screened with MMSE for a higher likelihood of earlier detection and, thus, initiation of disease‐modifying treatment.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".