Key prognostic risk factors linked to poor functional outcomes in cerebral venous sinus thrombosis: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Cerebral venous sinus thrombosis is a rare stroke with several clinical manifestations. Several studies have identified prognostic risk factors associated with poor functional outcomes and established predictive models. This systematic review and meta-analysis assessed the overall effect size of all prognostic risk factors. METHODS: A systematic review was conducted to explore all prognostic risk factors in studies published from the initial to June 2024 among 5 Databases included PubMed / Medline, Scopus, EBSCOhost, Web of Science, and Cochran Library. The quality of the methodology was analyzed using the Newcastle-Ottawa Scale. Data analysis was performed using the Statistical Package for Social Sciences (SPSS) version 29. RESULTS: Sixty-four studies involving 18,958 participants with a mean age of 38.46 years and females 63.03% were included in the quantitative meta-analysis. Functional outcomes were primarily measured using the Modified Rankin Scale (mRS), with scores ≥ 2 or ≥ 3 indicating poor outcomes in 35.00% and 60.00% of studies, respectively. For general information, age (InOR = 0.98, 95% CI 0.53-1.43), intracranial hemorrhage (OR = 3.79, 95% CI 2.77-5.20), and ischemic infarction (OR = 3.18, 95% CI 2.40-4.23) were associated with poor functional outcomes. For general and neurological symptoms, headache (OR = 0.22, 95% CI 0.17-0.29), seizure (OR = 2.74, 95% CI 1.76-4.27), focal deficit (OR = 4.72, 95% CI 3.86-5.78), coma (OR = 11.60, 95% CI 6.12-21.98), and consciousness alteration (OR = 7.07, 95% CI 4.15-12.04) were outstanding factors. The blood biomarkers of NLR (log OR = 1.72, 95% CI 0.96-2.47), lymphocytes (Cohen's d = -0.63, 95 CI -0.78--0.47), and D-dimer (lnOR = 1.34, 95% CI 0.87-1.80) were the three most frequently reported factors. Parenchymal lesion (OR = 4.71, 95% CI 1.12-19.84) and deep cerebral venous thrombosis (OR = 6.30, 95% CI 2.92-13.63) in radiological images were two frequently reported factors. CVST patients with cancer (OR = 3.87, 95% CI 2.95-5.07) or high blood glucose levels (OR = 3.52, 95% CI 1.61-7.68) were associated with poor functional outcomes. In the meta-regression analysis, ischemic infarction (P = 0.032), consciousness alteration (P < 0.001), and NLR (P = 0.015) were associated with mRS prediction. CONCLUSIONS: Pooled effect sizes revealed that ischemic infarction, headache, neurological focal deficit, lymphopenia, and cancer were significantly associated with poor functional outcomes, with low to moderate heterogeneity. Consciousness alterations/deterioration and deep cerebral venous thrombosis were also significant prognostic factors, albeit with substantial heterogeneity. The meta-regression analysis showed that the effect sizes of consciousness alterations/deterioration and NLR increased with worsening mRS scores. Other notable risk factors included age, intracranial hemorrhage, seizures, coma, D-dimer, parenchymal lesions, and hyperglycemia. This systematic review provides a comprehensive overview of the prognostic risk factors for poor functional outcomes in patients undergoing CVST, which can guide clinical decision-making and future research. TRIAL REGISTRATION: This systematic review and meta-analysis has been registered with INPLASY (International Platform of Registered Systematic Review and Meta-analysis Protocols), and the registration number is INPLASY202480072. The registration period is 14 August 2024.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.023 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".