Effect of lanthanum carbonate on the progression of coronary artery calcification in hemodialysis patients: A meta‐analysis of randomized controlled trials
Bibliographic record
Abstract
INTRODUCTION: Coronary artery calcification and cardiac abnormalities are common in hemodialysis patients. The value of lanthanum carbonate over calcium-based phosphate binders in managing the progression of coronary artery calcification is debated. We reviewed all randomized controlled trials (RCTs) comparing the two strategies in these patients. METHODS: RCTs comparing lanthanum carbonate with calcium-based phosphate binders used in adult hemodialysis patients were identified in the PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, China Science and Technology Journal, and Wanfang databases. FINDINGS: Ten RCTs involving 687 patients were suitable for inclusion. Compared with calcium-based phosphate binders, lanthanum carbonate yielded lower coronary artery calcium scores (weighted mean difference, WMD: -74.28, 95% CI: -149.89, 1.33), change in coronary artery calcium scores (WMD: -105.18, 95% CI: -113.83, -96.53), and left ventricular mass index (WMD: -29.95, 95% CI: -54.25, -7.45). Lanthanum carbonate was significantly associated with lower levels of serum phosphate (WMD: -0.18, 95% CI: -0.26, -0.10), calcium (WMD: -0.22, 95% CI: -0.25, -0.20), and fibroblast growth factor 23 (FGF23) (standard mean difference: -3.78, 95% CI: -5.60, -1.96) but not intact parathyroid hormone (WMD: -4.23, 95% CI: -64.12, 55.65). Moreover, a reduced risk of nonfatal cardiovascular events (OR: 0.31, 95% CI: 0.10-0.97) but not all-cause mortality (OR: 1.08, 95% CI: 0.39-3.01) in lanthanum carbonate therapy was observed. DISCUSSION: In hemodialysis patients, lanthanum carbonate therapy may impede the progression of coronary artery calcification and left ventricular mass index and lead to reduced serum phosphate, calcium, FGF23, and nonfatal cardiovascular events compared with calcium-based phosphate binders. However, more well-designed RCTs are required for confirmation.
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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 | 0.016 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.041 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".