P1–149: Canada‐China Cohort Study of early‐onset familial Alzheimer's disease
Bibliographic record
Abstract
Pre-dementia stage of AD is a critical period for intervention with disease-modifying treatments. Early onset familial AD (EOFAD) caused by PS1, PS2 and APP mutations constitute an ideal population for the assessment of biomarkers in the pre-symptomatic and MCI stages of AD because of the expected age of symptoms from the proband. Furthermore EOFAD is relatively free of co-morbidities associated with late onset sporadic AD. The Canada-China Cohort Study (CCCD) has been funded from 2013 to 2016 by the Canadian Institutes of Health Research and the National Science Foundation of China. The CCCD will establish a bi-national registry of informative families in Canada and China. We anticipate recruitment of asymptomatic carriers with PS1/PS2/APP (n=60), symptomatic carriers (MCI: n=60), dementia carriers (dementia: n=30) and their respective non-carrier family members (normal family member: n=30). These participants will undergo neuropsychological assessment, blood Aβ 42, CSF (Aβ 42, and tau), microRNAs, structural and functional MRI, [18 F]FDG-PET and [18 F] AZD4694 PET at baseline and will be followed up every 18 months. By comparing these biomarkers, our project aims to identify diagnostic biomarkers for pre-dementia stages of AD. The data acquisition protocols adopted by this study will allow comparisons with data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Dominantly Inherited Alzheimer Network (DIAN). The CCCD offers a synergistic and complementary strategy for rapid sharing of clinical, genetic, and biomarker data as well as to foster collaboration between research teams from both countries. The first Canada-China symposium on EOFAD was held in Vancouver, Canada. The responsibilities for the different sub-sections of this project have been assigned amongst participants, and the general principles of standardization of techniques and data collection, data sharing and publications have been agreed upon. The infrastructure of this bi-national registry is in progress, allowing for data collection in 2014 and 2015. The CCCD on biomarkers in EOFAD will facilitate early diagnosis of AD and intervention studies in presymptomatic and MCI stages of the disease.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".