ArticlePediatric discovery2024
Causal association of metabolic syndrome with chronic kidney disease progression: A Mendelian randomization study.
Article in Pediatric discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Mendelian randomization analysis of causal relationships between chondrosarcoma and angiogenesis related genes.Discover oncology · 2026Article
- Association of Systemic Inflammatory Biomarkers (NLR, MLR, PLR, SII, SIRI) with Preeclampsia-Related Kidney Injury: A Retrospective Observational Study.Journal of inflammation research · 2025Article
- Causal association of metabolic syndrome with chronic kidney disease progression: A Mendelian randomization study.Pediatric discovery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research from the past has indicated a link between the risk of chronic kidney disease (CKD) and metabolic syndrome (MetS). It is yet unknown. Nevertheless, exactly how the dynamic process of declining renal function and metabolic syndrome are related. The study's purpose is to evaluate the causal relationship between MetS and the deterioration in kidney function using a Mendelian randomization (MR). Univariable and multivariable MR were applied to evaluate the causal relationships between MetS and its components with Rapid3, CKDi25, and CKD. The main source of MetS data was the GTC database, whose constituents came from extensive genome-wide association research. The CKDGen Consortium provided data on dynamic changes in kidney function. Preliminary analysis was conducted using five different statistical techniques, including Inverse Variance Weighting and Weighted Median. Rucker's
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.