Primary angiitis of the central nervous system: Clinical profiles and outcomes of 45 patients
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
OBJECTIVE: To describe the clinical profile, treatment response and predictors of outcome in patients with primary angiitis of the central nervous system (PACNS) from a single tertiary care center. METHODOLOGY: Retrospective analysis of consecutive patients diagnosed with PACNS from January 2000 to December 2015. Outcome was defined as poor when the 6-month modified Rankin scale (mRS) was ≥3. RESULTS: The median age of the 45 patients included in this study was 36 (range 19-70) years at disease onset and 31 (68.9%) were males. The initial presentation was ischemic stroke in 15 (33.3%), hemorrhagic stroke in 4 (8.9%), headache in 11 (24.4%), seizures in 8 (17.8%) and cognitive dysfunction in 5 (11.1%) patients. Diagnosis was confirmed by a four vessel cerebral digital subtraction angiogram (DSA), biopsy and by both biopsy and DSA in 26 (57.8%), 15 (33.3%) and 4 (8.9%) patients, respectively. All patients received glucocorticoids and 14 patients received in addition either cyclophosphamide or azathioprine as their first treatment. The median duration of follow-up was 33.1 (0.7-356) months. A poor 6-month outcome was observed in 12 (26.7%) patients. Relapse occurred in 25 (55.6%) patients and 7 (15.6%) died. Predictors of a poor outcome consisted of cognitive dysfunction at diagnosis (80% vs 20%; P = 0.014) and NIHSS ≥5 (62.5% vs 37.5%; P <.0005). None of the patients with a normal EEG had a poor outcome (P = 0.046). Predictors of relapse were a higher NIHSS at admission (P =.032) and a normal DSA (P = 0.002). CONCLUSION: In this cohort, severe deficits and cognitive symptoms at onset and an abnormal EEG were associated with a poor 6-month outcome.
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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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