ArticleMolecules (Basel, Switzerland)2023
Quantitative Profiling of Serum Carnitines Facilitates the Etiology Diagnosis and Prognosis Prediction in Heart Failure.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 13 citations in OpenAlex.
- Serum metabolomic signatures integrating sphingosine-1-phosphate and tetrahydrocortisone improve prognostic assessment in non-ischemic cardiomyopathy.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Integrating dietary patterns and metabolomics with machine learning for metabolic syndrome risk assessment in a rural population.NPJ science of food · 2026Article
- The Use of Metabolomes in Risk Stratification of Patients with Heart Failure: A Scoping Review.Life (Basel, Switzerland) · 2026Review
- Predictive Role of Metabolic Profiling in Rivaroxaban Efficacy for Thrombus Lysis in Atrial Fibrillation.International journal of molecular sciences · 2025Article
- Genetic deletion or pharmacological inhibition of acetyl-CoA carboxylase 2 enhances fatty acid oxidation and improves cardiac function and survival in the murine ATGL knockout model of severe heart failure.Journal of molecular and cellular cardiology plus · 2025Article
- Differential Metabolomics and Cardiac Function in Trained vs. Untrained Yili Performance Horses.Animals : an open access journal from MDPI · 2025Article
- Serum concentrations of lipids, ketones and acylcarnitines during the postprandial and fasting state: the Postprandial Metabolism (PoMet) study in healthy young adults.The British journal of nutrition · 2024Article
- Causal impact of human blood metabolites and metabolic pathways on serum uric acid and gout: a mendelian randomization study.Frontiers in endocrinology · 2024Article
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 1 institution in 1 country.
Funding
Abstract
backgroundThe perturbation of fatty acid metabolism in heart failure (HF) has been a critical issue. It is unclear whether the amounts of circulating carnitines will benefit primary etiology diagnosis and prognostic prediction in HF. This study was designed to assess the diagnostic and prognostic values of serum carnitine profiles between ischemic and non-ischemic derived heart failure.
methodsHF patients (non-ischemic dilated cardiomyopathy: DCM-HF,
resultsAmongst 25 carnitines measured, all of them were increased in HF patients, and 20 acylcarnitines were associated with HF diagnosis independently. Seven acylcarnitines were confirmed to increase the probability of DCM diagnosis independently. The addition of isobutyryl-L-carnitine and stearoyl-L-carnitine to conventional clinical factors significantly improved the area under the receiver operating characteristic curve (ROC) from 0.771 to 0.832 (
conclusionsSerum carnitines could not only serve as diagnostic and predictive biomarkers in HF but also benefit the identification of HF primary etiology and prognosis.
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.