The Synergistic Impact of Astrocyte Reactivity and Vitamin D Deficiency on Post-Stroke Cognitive Impairment: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: Post-stroke cognitive impairment (PSCI) is a common, debilitating outcome of ischemic stroke. Glial Fibrillary Acidic Protein (GFAP), marking astrocyte reactivity, and Vitamin D, a neuro-immunomodulatory steroid, are independently linked to PSCI. This study aimed to quantify the synergistic impact of elevated serum GFAP and concurrent Vitamin D deficiency on PSCI risk. Methods: Following PRISMA guidelines, a systematic search of PubMed, Scopus, and Web of Science was conducted for prospective cohort studies (2015-2025) assessing acute serum GFAP, 25-hydroxyvitamin D (25(OH)D), and subsequent cognitive outcomes in ischemic stroke patients. Quality was assessed using the Newcastle-Ottawa Scale. A meta-analysis of seven studies (n=3,850) was performed using a random-effects model to calculate pooled odds ratios (ORs) for PSCI across four biomarker-defined groups. A formal test for synergistic interaction was conducted by assessing the departure from additivity of effects on the log-odds scale. Results: Seven high-quality studies were included. Compared to the reference group (Normal GFAP/Sufficient Vitamin D), the pooled OR for PSCI was 2.18 (95% CI: 1.85-2.57) for high GFAP alone and 1.95 (95% CI: 1.65-2.30) for Vitamin D deficiency alone. For the dual-biomarker group (High GFAP/Deficient Vitamin D), the pooled OR was 4.75 (95% CI: 3.98-5.67). This observed risk was significantly greater than the 3.13 OR expected from a purely additive model (p for interaction < 0.001), confirming a significant synergistic effect. Sensitivity analysis showed the effect was most pronounced in patients with moderate-to-severe strokes (NIHSS > 5). Conclusion: Elevated serum GFAP and Vitamin D deficiency synergistically increase the risk of PSCI, particularly in patients with more severe strokes. The interplay between acute astroglial injury and compromised systemic neuroprotection appears to be a critical determinant of cognitive outcomes. While confounding by patient frailty requires further study, this dual-biomarker profile identifies a high-risk subgroup and highlights a key pathophysiological interaction.
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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 | 0.013 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| 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".