The impact of informant-related characteristics including sex/gender on assessment of Alzheimer's disease symptoms and severity
Bibliographic record
Abstract
Alzheimer's disease, caregive, sex, gender, Clinical Dementia Rating (CDR), clinical trial endpoints Alzheimer's disease (AD) is a debilitating neurological disorder affecting millions of people worldwide.Early and accurate diagnosis of AD is crucial for accessing treatments (including clinical trials), planning for the future, and obtaining necessary services.Unfortunately, AD and other neurodegenerative diseases associated with cognitive impairment or behavioral changes, are frequently misdiagnosed or diagnosed at later stages.Experts recommend a multifaceted approach that integrates performance, informant, and self-report data to properly assess patients with neurodegenerative diseases (1).This approach allows clinicians to assess the presence and severity of cognitive disorders, establish a differential diagnosis, and formulate an effective treatment plan.Caregivers play a pivotal role in recognizing early signs of the disease, such as memory loss and behavioral changes.They provide valuable insights to healthcare providers, assisting in diagnosis and treatment (2).In contrast to conditions where self-reporting is standard, caregiver input is instrumental in AD assessments, especially in clinical trials where disease severity is a critical criterion and endpoint.Integral to an accurate ascertainment of a patient's severity of disease, which is focused on functional abilities, is a dementia rating scale.In the Clinical Dementia Rating Scale (CDR), a semi-structured interview format is used to collect detailed information from an informant regarding the patient's ability to function in various domains (3).The CDR (either the global score, from 0 (no impairment) to 3 (severe dementia), or the sum of boxes, CDR-SB) is thought to reflect the impact of neurodegeneration on everyday global function based on six cognitive and behavioral domains: memory, orientation, judgment and problem solving, community affairs, home and hobbies, and personal care.Currently, this is the most widely used scale for assessing severity/staging of AD (4, 5).The CDR-SB is commonly used as the primary endpoint in clinical trials of AD, in addition to several cognitive measures.Given the importance of the CDR, it is imperative to consider the informant's characteristics that may influence scoring.Prior research highlights the significance of caregiver input in diagnosing and classifying AD and other neurodegenerative diseases (2).Psychosocial factors, including cultural background (6), ethnicity (7-9), and sex/
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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 | 0.017 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".