Depression in neurological disorders: Parkinson's disease, multiple sclerosis, and stroke
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
The major limitation of coronary angioplasty is recurrent stenosis. Patient, clinical, and procedural factors at the time of angioplasty were correlated with the presence or absence of angiographically documented recurrent stenosis or continued patency. Patients with single-vessel, multilesion disease had a lower incidence of recurrence than those with single-vessel, single-lesion disease (22.2% <i>v</i> 37.3%). Patients with multivessel disease had the highest rate of recurrent stenosis (45%). Sex and age did not predict recurrence. Patients with more severe symptoms, patients without prior myocardial infarction (MI), and insulin-dependent diabetic patients were more likely to have recurrent stenosis. Of the lesion variables, a severe stenosis or a low gradient before angioplasty, the absence of an intimal tear after angioplasty, and left anterior descending artery lesions correlated with a higher recurrence rate. Inflation times ≥30 seconds and a greater total number of inflations correlated with a higher recurrence rate. Multivariate analysis showed the following variables to be important predictors of recurrence: Canadian Heart Class, history of myocardial infarction, gradient before angioplasty, artery dilated, number of inflations, severity of stenosis before angioplasty, and insulin-dependent diabetes mellitus.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 | 0.002 |
| 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