Evidence map›Paper›PMID 25984599›Full record

ArticleInternational journal of molecular sciences2015

The multi-biomarker approach for heart failure in patients with hypertension.

Agata Bielecka-Dabrowa, Anna Gluba-Brzózka, Marta Michalska-Kasiczak, Małgorzata Misztal, Jacek Rysz, Maciej Banach

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Agata Bielecka-DabrowaThese authors contributed equally to this work.. agatbiel7@poczta.onet.pl.
Anna Gluba-BrzózkaDepartment of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland. aniagluba@yahoo.pl.
Marta Michalska-KasiczakThese authors contributed equally to this work.. marta.zofia.michalska@umed.lodz.pl.
Małgorzata MisztalDepartment of Nephrology, Hypertension and Family Medicine, Chair of Nephrology and Hypertension, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland. mmisztal@toya.net.pl.
Jacek RyszDepartment of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland. jacek.rysz@umed.lodz.pl.
Maciej BanachThese authors contributed equally to this work.. maciejbanach@aol.co.uk.
Medical University of Lodz · PLUniversity of Łódź · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed the predictive ability of selected biomarkers using N-terminal pro-brain natriuretic peptide (NT-proBNP) as the benchmark and tried to establish a multi-biomarker approach to heart failure (HF) in hypertensive patients. In 120 hypertensive patients with or without overt heart failure, the incremental predictive value of the following biomarkers was investigated: Collagen III N-terminal propeptide (PIIINP), cystatin C (CysC), lipocalin-2/NGAL, syndecan-4, tumor necrosis factor-α (TNF-α), interleukin 1 receptor type I (IL1R1), galectin-3, cardiotrophin-1 (CT-1), transforming growth factor β (TGF-β) and N-terminal pro-brain natriuretic peptide (NT-proBNP). The highest discriminative value for HF was observed for NT-proBNP (area under the receiver operating characteristic curve (AUC)=0.873) and TGF-β (AUC=0.878). On the basis of ROC curve analysis we found that CT-1>152 pg/mL, TGF-β<7.7 ng/mL, syndecan>2.3 ng/mL, NT-proBNP>332.5 pg/mL, CysC>1 mg/L and NGAL>39.9 ng/mL were significant predictors of overt HF. There was only a small improvement in predictive ability of the multi-biomarker panel including the four biomarkers with the best performance in the detection of HF-NT-proBNP, TGF-β, CT-1, CysC-compared to the panel with NT-proBNP, TGF-β and CT-1 only. Biomarkers with different pathophysiological backgrounds (NT-proBNP, TGF-β, CT-1, CysC) give additive prognostic value for incident HF in hypertensive patients compared to NT-proBNP alone.

Indexed as

Acute-Phase ProteinsAgedBiomarkersCystatin CCytokinesFemaleGalectin 3Heart FailureHumansHypertensionLipocalin-2LipocalinsMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsAcute-Phase ProteinsBiomarkerscardiotrophin 1Cystatin CCytokinesGalectin 3IL1R1 protein, humanLCN2 protein, humanLipocalin-2LipocalinsNatriuretic Peptide, BrainPeptide Fragmentsprepro-brain natriuretic peptideProcollagenprocollagen Type III-N-terminal peptideProtein PrecursorsProto-Oncogene ProteinsReceptors, Interleukin-1 Type ISyndecan-4Transforming Growth Factor betaTumor Necrosis Factor-alphabiomarkersheart failurehypertension

Identifiers

PMID25984599
PMCPMC4463672
OpenAlexW1512705270

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.