Risk factors for ischemic stroke in China: a case-control study
Bibliographic record
Abstract
Background Stroke is a primary cause of disability and death in adults worldwide. This study aimed to determine whether uric acid (UA), total bilirubin (TBIL), serum creatinine (Scr), homocysteine (Hcy), platelet large cell ratio (P-LCR), mean platelet volume (MPV), red blood cell volume distribution width (RDW), and common carotid artery intima-media thickness (CCA-IMT) were risk factors for ischemic stroke and whether there were sex differences in their associations. Methods This was a case-control study, and all data were collected from the medical records at Fuzhou First People’s Hospital of Jiangxi Province, China. The case group consisted of 400 patients treated for ischemic stroke at the Neurology Department, Fuzhou First People’s Hospital from January 2017 to June 2023. The control group included 200 patients with non-ischemic stroke in the same period and at the same hospital. In this study, clinical history, physical examination, and biochemical indices such as UA, TBIL, Scr, Hcy, P-LCR, MPV, and RDW were obtained from the patients’ medical records. Craniocerebral imaging was performed using magnetic resonance imaging (MRI) or computerized tomography (CT). CCA-IMT was measured using ultrasonography of the carotid arteries. Results In the multivariate binary logistic regression analysis, Hcy, FBS, right CCA-IMT and Hypertension were associated with ischemic stroke (p<0.001). The odds of ischemic stroke increased with Hcy (adjusted OR=1.217, 95% CI=1.129-1.311, p<0.001), fasting blood sugar (FBS) (adjusted OR=1.313, 95%CI=1.169-1.475, p<0.001), and right CCA-IMT (adjusted OR=45.273, 95%CI=6.693-306.232, p<0.001). Hypertensive persons had a higher possibility of ischemic stroke than persons without hypertension (adjusted OR=3.161, 95%CI=2.086-4.790, p<0.001). Conclusions Hcy, FBS, right CCA-IMT, and hypertension are independent risk factors for ischemic stroke in China. There was no association between TBIL, Scr, P-LCR, MPV, RDW, and the incidence of ischemic stroke. There was no sex difference in the association between Hcy, TBIL, Scr, P-LCR, and the incidence of ischemic stroke.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".