Primary progressive aphasia: Diagnosis, varieties, evolution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A referred cohort of 67 clinically defined PPA patients were compared to 99 AD patients with formal language and nonverbal cognitive tests in a case control design. Language fluency was determined at the first and last follow up visits. Quantitation of sulcal and ventricular atrophy on MRI was carried out in 46 PPA and 53 AD patients. Most PPA patients (57%) are relatively fluent when first examined. Visuospatial and memory functions are initially preserved. Aphemic, stuttering, "pure motor" presentation, or agrammatic aphasia are seen less frequently. Later most PPAs become logopenic and nonfluent, even those with semantic aphasia (dementia). In contrast, AD patients were more fluent and had relatively lower comprehension, but better overall language performance. MRI showed significant left sided atrophy in most PPA patients. Subsequent to PPA, 25 patients developed behavioral manifestations of frontotemporal dementia and 15 the corticobasal degeneration syndrome, indicating the substantial clinical overlap of these conditions. Language testing, particularly fluency scores supported by neuroimaging are helpful differentiating PPA from AD. The fluent-nonfluent dichotomy in PPA is mostly stage related. The aphemic-logopenic-agrammatic and semantic distinction is useful, but the outcomes converge.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it