ArticleInternational journal of molecular sciences2026
A Molecular Diagnostic Approach for Hypertension Through Establishment of a Metabolite Risk Score Using a Multi-Metabolite Panel Identified via UHPLC-MS/MS.
Article in International journal of molecular sciences, 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
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
2 authors.
Funding
Abstract
Hypertension (HTN) is often asymptomatic and difficult to detect using blood pressure (BP) measurements unless BP is substantially elevated. Given its association with metabolic alterations and complications, this study aimed to establish a metabolite risk score (MRS) as a molecular tool to complement BP-based diagnosis. Plasma samples and clinical data from healthy individuals and HTN patients were obtained through the Korea Biobank Network, and non-targeted metabolomics was performed. Eight HTN-associated key metabolites were selected by least absolute shrinkage and selection operator (LASSO) regression. An MRS was calculated as their weighted sum in the discovery set and subsequently validated in the replication set. The MRS showed strong discriminative performance for HTN status in the replication set [area under the curve (AUC) = 0.926, 95% confidence interval (CI): 0.876-0.976] and remained significantly associated with prevalent HTN after adjustment for age and BMI [odds ratio (OR) = 1.747, 95% CI: 1.317-2.318,
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.