Evidence map›Paper›PMID 39850831›Full record

ArticlePeerJ2025

Evaluation of urinary density as a biomarker for the diagnosis of acute heart failure.

Mustafa Ahmet Akçalı, Semih Çınar, Kemal Abid Tekin, Recep Murat Mert, Sena Erduhan, Ertuğ Dinçer, Yusuf Altunöz, Arif Aksu, Esra Akçalı

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Mustafa Ahmet AkçalıDepartment of Emergency Medicine, Ministry of Health Dogubayazit Dr Yasar Eryilmaz State Hospital, Ağrı, Turkey.ORCID 0000-0002-4430-3164
Semih ÇınarDepartment of Emergency Medicine, Tekirdag Dr. Ismail Fehmi Cumalioglu City Hospital, Tekirdağ, Turkey.
Kemal Abid TekinDepartment of Cardiology, Ministry of Health Dogubayazit Dr Yasar Eryilmaz State Hospital, Ağrı, Turkey.ORCID 0000-0002-6931-3983
Recep Murat MertDepartment of Emergency Medicine, Ministry of Health Dogubayazit Dr Yasar Eryilmaz State Hospital, Ağrı, Turkey.
Sena ErduhanDepartment of Medical Biochemistry, Dogubayazit Dr Yasar Eryilmaz State Hospital, Ağrı, Turkey.
Ertuğ DinçerDepartment of Emergency Medicine, Ministry of Health Merzifon Kara Mustafa Pasa State Hospital, Amasya, Turkey.
Yusuf AltunözDepartment of Emergency Medicine, Sincan Nafiz Korez Education and Research Hospital, Ankara, Turkey.
Arif AksuDepartment of Emergency Medicine, Health Science University Adana City Research and Training Hospital, Adana, Turkey.
Esra AkçalıDepartment of Nephrology, Ministry of Health Tarsus State Hospital, Mersin, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart failure (HF) has become a public healthcare concern with significant costs to countries because of the aging world population. Acute heart failure (AHF) is a common condition faced frequently in emergency departments, and patients often present to hospitals with complaints of breathlessness. The patient must be evaluated with anamnesis, physical examination, blood, and imaging results to diagnose AHF. Brain natriuretic peptide (BNP) is a widely accepted biomarker for the diagnosis of HF. Methods: The files of the patients who applied to the emergency department with complaints of breathlessness were scanned, and BNP and urinary density (UD) levels were evaluated for the diagnosis of HF in patients. Results: The results support that BNP is an effective biomarker in AHF, as is widely accepted. When the correlation between BNP and UD measurements was examined in the present study, a negative correlation was detected between the parameters. The results also suggested that low UD values may help diagnose AHF. Conclusion: If similar results are obtained in prospective multicenter studies with the participation of more patients, UD value can be used as a biomarker for the diagnosis of AHF.

Indexed as

Heart FailureNatriuretic Peptide, BrainAcute DiseaseAgedAged, 80 and overBiomarkersEmergency Service, HospitalFemaleHumansMaleMiddle AgedBiomarkersNatriuretic Peptide, BrainBreathlessnessEmergency medicineHeart failureNatriuretic peptidesUrinalysis

Identifiers

PMID39850831
PMCPMC11756357

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Registered trials

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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.