Observational studyJournal of translational medicine2017
Water T
Observational study in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 30 citations in OpenAlex.
- Salivaomics: New Frontiers in Studying the Relationship Between Periodontal Disease and Alzheimer's Disease.Metabolites · 2025Review
- Towards clinical application of GlycA and GlycB for early detection of inflammation associated with (pre)diabetes and cardiovascular disease: recent evidence and updates.Journal of inflammation (London, England) · 2023Review
- A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.Bioengineered · 2021Article
- Aqueous Metabolite Trends for the Progression of Nonalcoholic Fatty Liver Disease in Female Bariatric Surgery Patients by TargetedMetabolites · 2021Article
- Intermuscular Fat Content in Young Chinese Men With Newly Diagnosed Type 2 Diabetes: Based on MR mDIXON-Quant Quantitative Technique.Frontiers in endocrinology · 2021Article
- Molecular phenotyping of oxidative stress in diabetes mellitus with point-of-care NMR system.NPJ aging and mechanisms of disease · 2020Article
- Perspective: Cellular and Molecular Profiling Technologies in Personalized Oncology.Journal of personalized medicine · 2019Article
- Omics Meeting Onics: Towards the Next Generation of Spectroscopic-Based Technologies in Personalized Medicine.Journal of personalized medicine · 2019Article
- Early detection of metabolic dysregulation using water TDiabetes, metabolic syndrome and obesity : targets and therapy · 2018Article
- Aptamer-based search for correlates of plasma and serum water TBiomarker research · 2018Article
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 1 country.
Funding
Abstract
backgroundMetabolic syndrome (MetS) is a highly prevalent condition that identifies individuals at risk for type 2 diabetes mellitus and atherosclerotic cardiovascular disease. Prevention of these diseases relies on early detection and intervention in order to preserve pancreatic β-cells and arterial wall integrity. Yet, the clinical criteria for MetS are insensitive to the early-stage insulin resistance, inflammation, cholesterol and clotting factor abnormalities that characterize the progression toward type 2 diabetes and atherosclerosis. Here we report the discovery and initial characterization of an atypical new biomarker that detects these early conditions with just one measurement.
methodsWater T
resultsPlasma and serum water T
conclusionsWater T
Indexed as
Identifiers
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.