Brain and Heart Interactions Delineating Cardiac Dysfunction in Four Common Neurological Disorders: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Neurological and cardiovascular disorders are the leading causes of morbidity and mortality worldwide. While the effects of cardiovascular disease (CD) on the nervous system are well understood, understanding of the reciprocal relationship has only recently become clearer. Based on disability-adjusted life years, this systematic review and meta-analysis present the pooled incidence and association of CD in 4 selected common, noncommunicable neurological disorders: (1) migraine, (2) Alzheimer disease and other dementias, (3) epilepsy, and (4) head injury. Sixty-five studies, including over 4 and a half million patients, were identified for inclusion in this review. Among the 4 neurological disorders, the majority of patients (89.4%) had epilepsy, 9.6% had migraine, and 0.97% had head injury. Alzheimer disease and other dementias were reported in only 0.02% of patients. The pooled effect estimates (incidence and association) of CD in the 4 neurological disorders was 10% (95% CI: 5.8%-16.9%; I2 = 99.94%). When stratified by the neurological disorder, head injury was associated with the highest incidence of CD (28%). The 4 neurological disorders were associated with a 2-fold increased odds for developing CD in comparison to patients without neurological disorders. Epilepsy was associated with the greatest increased odds of developing CD (odds ratio: 2.25; 95% CI: 1.82-2.79; P = 0.04). In studies that reported this variable, the pooled hazard ratio was 1.64 (95% CI: 1.38-1.94), with head injury having the highest hazard ratio (2.17; 95% CI: 1.30-3.61). Large prospective database studies are required to understand the long-term consequences of CD in patients with neurological disorders.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.035 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".