The predictive value of serum galectin 3 for abdominal aortic calcification in maintenance hemodialysis patients: A prospective cohort study
Bibliographic record
Abstract
INTRODUCTION: Heterotopic vascular calcification is a common complication of maintenance hemodialysis (MHD) patients. Galectin 3 (Gal-3) has been reported to be associated with cardiovascular calcification. The current study aims to explore the potential predictive value of serum Gal-3 for severe abdominal aortic calcification (AAC) and AAC progression in MHD patients. METHODS: A prospective cohort who underwent hemodialysis during July 2014 at the Blood Purification Center of Ruijin Hospital were followed up for 3 years. Two AAC assessments were performed: one at baseline and one after the 3-year follow-up period. Serum Gal-3 was detected with quantitative ELISA kits. SPSS 23.0 and MedCalc 11.4.2.0 were used to analyze the data. FINDINGS: One hundred and fifty-two patients were recruited. Approximately 59.9% were male, the median age was 60 (50-67) years. Logistic regression analysis indicated that serum Gal-3 was an independent risk factor for both follow-up severe AAC and AAC progression. Receiver operating characteristic (ROC) curve analysis revealed significant prognostic value of serum Gal-3 for predicting severe AAC and AAC progression within 3 years. DISCUSSION: We found serum Gal-3 is correlated to vascular calcification in ESRD patients. Gal-3 may be a potential biomarker of vascular calcification for MHD patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".