ArticleMedComm2026
Unraveling the Metabolic-Cardiovascular Disease Nexus: An Epidemiological Network Analysis Identifies Central Indicators.
Article in MedComm, 2026. 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
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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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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular diseases (CVD) remain a leading cause of death globally, yet assessing the combined impact of multiple metabolic disorders on CVD risk is challenging due to a lack of comprehensive tools. We aimed to develop and validate a novel CVD screening model based on metabolic clustering networks. Using data from 4066 adults enrolled in the STONE study (China) through stratified sampling, we constructed a holistic network map of metabolic health, incorporating obesity, dyslipidemia, glucose disorders, and hepatic, renal, thyroid, and bone conditions. Through network analysis, 12 central and clinically accessible indicators-including abdominal obesity, fatty liver, LDL-C, HbA
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