Association of sST2 with cardiovascular disease in maintenance hemodialysis patients: A systematic review and meta-analysis
Bibliographic record
Abstract
Background Previous studies have shown that soluble growth-stimulated expression gene 2 protein (sST2) plays a significant role in the progression of maintenance hemodialysis. However, the relationship between sST2 and cardiovascular events in maintenance hemodialysis patients remains largely understudied. Method This study systematically searched PubMed, Wanfang, and other Chinese and English databases for all published studies on sST2 in maintenance hemodialysis. Relevant literature meeting the requirements was screened, and relevant data were extracted accordingly. The Newcastle–Ottawa Scale was used to evaluate the quality of the selected studies. Publication bias was assessed via funnel plots and Egger’s test. A meta-analysis was performed using either a random-effects or fixed-effects model, as appropriate. Results A total of 10 high-quality studies were included in this study, with no significant publication bias. The meta-analysis revealed that sST2 level was associated with the incidence of cardiovascular events in maintenance hemodialysis patients (mean difference = 18.89, 95% confidence interval: 13.93–23.84; p < 0.001). Moreover, elevated sST2 levels were correlated with a higher risk of cardiovascular events (odds ratio = 2.89, 95% confidence interval: 1.71–4.89; p < 0.0001). Conclusion sST2 may serve as a predictive biomarker for cardiovascular events in maintenance hemodialysis patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".