ArticleDiabetes2019
A Network Analysis of Biomarkers for Type 2 Diabetes.
Article in Diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed, 34 citations in OpenAlex.
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- Current and future directions in network biology.Bioinformatics advances · 2024Article
- Causal discovery approach with reinforcement learning for risk factors of type II diabetes mellitus.BMC bioinformatics · 2023Article
- You are What You Drink? How Associations Between Profiles of Beverage Consumption and Type 2 Diabetes Risk are Mediated by Biomarker Networks.The American journal of clinical nutrition · 2023Article
- Networks as Biomarkers: Uses and Purposes.Genes · 2023Review
- Multi-level analysis reveals the association between diabetes, body mass index, and HbA1c in an Iraqi population.Scientific reports · 2022Article
- Adipokines in Sleep Disturbance and Metabolic Dysfunction: Insights from Network Analysis.Clocks & sleep · 2022Article
- Association of fruit and vegetable color with incident diabetes and cardiometabolic risk biomarkers in the United States Hispanic/Latino population.Nutrition & diabetes · 2022Article
- Colorimetric and Electrochemical Screening for Early Detection of Diabetes Mellitus and Diabetic Retinopathy-Application of Sensor Arrays and Machine Learning.Sensors (Basel, Switzerland) · 2022Review
- Circulating Ism1 Reduces the Risk of Type 2 Diabetes but not Diabetes-Associated NAFLD.Frontiers in endocrinology · 2022Article
- Analysis of an Indian diabetes prevention programme on association of adipokines and a hepatokine with incident diabetes.Scientific reports · 2021Article
- Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study.Scientific reports · 2021Article
- Network Analysis in Systems Epidemiology.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021Review
- Improved Functional Causal Likelihood-Based Causal Discovery Method for Diabetes Risk Factors.Computational and mathematical methods in medicine · 2021Article
- Association of Quantified Costal Cartilage Calcification and Long-Term Cumulative Blood Glucose Exposure: The Multi-Ethnic Study of Atherosclerosis.Frontiers in endocrinology · 2021Article
- An Investigation into the Temporal Reproducibility of Tryptophan Metabolite Networks Among Healthy Adolescents.International journal of tryptophan research : IJTR · 2021Article
- Article
- Prospective Study of Long-Term Interrelationships Among Adiposity-Associated Biomarkers in Women.Obesity (Silver Spring, Md.) · 2020Article
- The Clinical Utility of Salivary Biomarkers in the Identification of Type 2 Diabetes Risk and Metabolic Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
Numerous studies have investigated individual biomarkers in relation to risk of type 2 diabetes. However, few have considered the interconnectivity of these biomarkers in the etiology of diabetes as well as the potential changes in the biomarker correlation network during diabetes development. We conducted a secondary analysis of 27 plasma biomarkers representing glucose metabolism, inflammation, adipokines, endothelial dysfunction, IGF axis, and iron store plus age and BMI at blood collection from an existing case-control study nested in the Nurses' Health Study (NHS), including 1,303 incident diabetes case subjects and 1,627 healthy women. A correlation network was constructed based on pairwise Spearman correlations of the above factors that were statistically different between case and noncase subjects using permutation tests (
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What OpenQuestion 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 OpenQuestion graph.