Etiologic and Clinical Features of Cerebral Venous Sinus Thrombosis in Saudi Arabia
Bibliographic record
Abstract
OBJECTIVE: Our study aims to evaluate the etiologic and clinical features of cerebral venous sinus thrombosis (CVST) in Saudi Arabia, and secondarily whether gender plays a role in CVST. MATERIALS AND METHODS: Data were collected retrospectively from the stroke registry during the period from January 2008 to April 2018, and the patients with the diagnosis of CVST were identified, and data were analyzed for any gender-specific differences in clinical presentation and etiology of cerebral venous thrombosis. RESULTS: There were 15 females while 11 males with a female:male ratio of 1.4:1. The mean age was 29.4± standard deviation 8.9 with the age range of 15-49. Headache was the most common and usually the first presenting symptoms present in 65% followed by hemiparesis and cranial nerve palsies. The first neurological examination was normal in 9/26 (34.6%) of the patients, while the common abnormality was cranial nerve palsies. Infections and trauma played an important part in risk factor analysis of our patient after the pregnancy- and hormone-related conditions. Some significant differences between the clinical presentation and risk factors among males and females were noted as age at presentation was higher in females while trauma and infections were common in male patients, although the involvement of the sinuses and response to treatment did not prove to be statistically significant. CONCLUSION: The results of this study were similar to the available literature with few differences. The relatively higher proportion of males in our study can be explained partly with more cases of traumatic CVST. Some important differences were noted between the risk factors and clinical presentation among genders. Large-scale prospective studies are needed to further clarify these differences.
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How this classification was reachedexpand
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".