MOST STROKE PATIENTS DO NOT GET A WARNING: A POPULATION-BASED COHORT STUDY
Bibliographic record
Abstract
REPORTS IN PATIENTS WITH FRONTOTEMPORAL DEMENTIAFrontotemporal lobar degeneration (FTLD) is a common early onset dementing condition. 1 The subtypes of FTLD, behavioral variant frontotemporal dementia (bvFTD), and semantic dementia (SemD) have distinctive imaging patterns that separate them from healthy aging, Alzheimer disease (AD), and from each other. [2]3][4] The bvFTD causes frontotemporal tissue loss while SemD displays selective atrophy of the anterior temporal lobes.We performed a retrospective analysis of MRI atrophy patterns in 40 patients with bvFTD. 5Methods.Participants.All patients evaluated between 1999 and 2006 at the UCSF Memory and Aging Center who consented to research, met the Neary research criteria for FTD, 5 and had an MRI scan within 1 year of presentation were included (figure e-1 on the Neurology ® Web site at www. neurology.org).The referring diagnosis in patients' records and the radiologist's findings and impression on the first scan were recorded.Thirtyfour scans were performed in academic settings and 6 in private centers. Standard protocol approvals, registrations, and patientconsents.We received ethics approval from the UCSF Research ethical standards committee on human experimentation and informed consent was obtained from all participants.Test methods.Nine categories were identified based on the radiologist's reports of the 40 patients: 1) bvFTD, 2) white matter/ischemic disease, 3) AD, 4) normal pressure hydrocephalus (NPH)/hydrocephalus, 5) mitochondrial/metabolic, 6) encephalomalacia, 7) AD vs Pick, 8) atrophy, 9) unremarkable.Twenty MRI scans from the patients with bvFTD were randomly selected and mixed with scans from 20 randomly selected patients with SemD, 5 20 patients with probable AD (National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria), 6 and 20 research controls to verify that atrophy patterns can distinguish bvFTD from others.Two neuroradiologists blinded to patient's history, clinical diagnosis, radiologist's initial
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".