[Alterations in cerebral perfusion in patients with systemic sclerosis and cognitive impairment].
Bibliographic record
Abstract
INTRODUCTION: Systemic sclerosis (SSc) is a systemic autoimmune disease characterized by fibrosis, immunological and vascular abnormalities. Cerebral hypoperfusion can be caused by cerebral ischemia. Cognitive impairment (CI) are a major cause of morbidity in SSc The aim of this study is to estimate the frequency of alterations in cerebral perfusion (CP) in SSc patients with CI. METHODS: We studied 88 patients with SSc. The Montreal Test (MT) was given to all patients to evaluate CI. To 15 patients with CI and without systemic hypertension, diabetes mellitus, cerebrovascular disease, vasculitis, hypothyroidism, depression, and drugs that interfere with the cognitive assessment, the PC was measured by cerebral gammagram (CG). RESULTS: Of the 88 patients with ES, 58 had CI by MT. A decrease in CP was observed in following lobes: frontal in 9 of 15 patients, temporal in 7 of 15, and parietal in 3 of 15. Concordance between MT and CG was 60% for the frontal, 46% for the temporal and parietal 13%. CONCLUSIONS: The CI is common in SSc. A decrease in CP was more frequent in the frontal lobe, predominating in older patients and with longer duration of SSc.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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 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".