ArticleJournal of diabetes research2025
Association Between Relative Fat Mass and the Serum Creatinine/Cystatin C Ratio and Cardiometabolic Multimorbidity: Evidence From Two Large Population-Based Surveys.
Article in Journal of diabetes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The serum creatinine-cystatin C ratio (SCR/CysC) and relative fat mass (RFM) are both important indicators reflecting muscle and fat content, respectively, and are closely related to metabolic diseases and cardiovascular diseases. However, the roles of SCR/CysC and RFM in cardiometabolic multimorbidity (CMM) remain unclear. This study is aimed at exploring the relationships between SCR/CysC, RFM, and CMM, providing a new perspective for the early identification and intervention of CMM. Methods: This study included 9292 Chinese participants from the CHARLS database and 3822 American individuals from the NHANES database. Multivariate logistic regression analysis, restricted cubic spline (RCS) plots, and subgroup analyses were employed to explore the associations of SCR/CysC and RFM with CMM. Results: Analyses based on two databases revealed that the level of SCR/CysC levels was significantly negatively correlated with the risk of CMM. Conversely, higher RFM levels were positively correlated with an increased risk of CMM. Specifically, compared to the lower quartile (Q1) of SCR/CysC, the highest quartile (Q4) was associated with a decreased risk of CMM (CHARLS: odds ratio (OR) = 0.89, 95% confidence interval (CI): 0.87-0.91, Conclusions: This study found that SCR/CysC levels were negatively correlated with CMM risk, whereas RFM levels showed a positive correlation. Thus, SCR/CysC and RFM may both serve as potential biomarkers for CMM screening.
Indexed as
Identifiers
What Socratic holds
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.