ArticleClinical hypertension2015
The utility of biomarker risk prediction score in patients with chronic heart failure.
Article in Clinical hypertension, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 76 citations in OpenAlex.
- Development and Validation of R-hf Risk Score in Acute Heart Failure Patients in the Middle East.Oman medical journal · 2023Article
- Valsartan Dosage on Ventriculo-Vascular Coupling Index Dose-Dependency in Heart Failure Patients.Yonsei medical journal · 2021Observational
- The Diagnostic and Therapeutic Value of Multimarker Analysis in Heart Failure. An Approach to Biomarker-Targeted Therapy.Frontiers in cardiovascular medicine · 2020Review
- Internal quality control status for BNP and NT-proBNP in China from 2014 to 2017.Journal of clinical laboratory analysis · 2019Article
- Novel Biomarkers of Subclinical Cardiac Dysfunction in the General Population.Current heart failure reports · 2017Review
Corrections and comments
- Retracted
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic heart failure (CHF) has been remained a leading cause of cardiovascular morbidity and mortaluty. The risk stratification of CHF individuals based on clinical criteria and biomarkers' models may improve medical care and probably increase efficacy of treatment strategy. However, various predictive models approved for CHF patients appear to be distinguished in their prognostications. The study aim was to evaluate whether biomarker risk prediction score is powerful tool for risk assessment of three-year fatal and non-fatal cardiovascular events in CHF patients.
methodsIt was studied prospectively the incidence of fatal and non-fatal cardiovascular events in a cohort of 388 patients with ischemic-induced CHF within 3 years. Circulating biomarkers were collected at baseline of the study.
resultsIndependent predictors of clinical outcomes in patients with CHF were NT-pro-BNP, galectin-3, hs-CRP, osteoprotegerin, CD31(+)/annexin V(+) endothelail-derived microparticles (EMPs) and CD31(+)/annexin V(+) EMPs to CD14(+)CD309(+) monuclear progenitor cells (MPCs) ratio. Index of cardiovascular risk was calculated by mathematical summation of all ranks of independent predictors, which occurred in the patients included in the study. Kaplan-Meier analysis showed that patients with CHF and the magnitude of the risk of less than 4 units have an advantage in survival when compared with patients for whom obtained higher values of cardiovascular risk score ranks.
conclusionBiomarker risk score for cumulative cardiovascular events, constructed by measurement of circulating NT-pro-BNP, galectin-3, hs-CRP, osteoprotegerin, CD31+/annexin V+ EMPs and CD31(+)/annexin V(+) EMPs to CD14(+)CD309(+) MPCs ratio, allowing reliably predict the probability survival of patients with CHF.
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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.