Evidence map›Paper›PMID 35743683›Full record

ReviewJournal of personalized medicine2022

Novel Biomarkers of Renal Dysfunction and Congestion in Heart Failure.

Agata Zdanowicz, Szymon Urban, Barbara Ponikowska, Gracjan Iwanek, Robert Zymliński, Piotr Ponikowski, Jan Biegus

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

7 authors at 1 institution in 1 country.

Agata ZdanowiczInstitute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.
Szymon UrbanInstitute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.
Barbara PonikowskaStudent Scientific Organization, Institute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.
Gracjan IwanekInstitute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.
Robert ZymlińskiInstitute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.
Piotr PonikowskiInstitute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.
Jan BiegusInstitute of Heart Diseases, Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0001-9977-7722
Wroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure is a major public health problem and, despite the constantly emerging, new, effective treatments, it remains a leading cause of morbidity and mortality. Reliable tools for early diagnosis and risk stratification are crucial in the management of HF. This explains a growing interest in the development of new biomarkers related to various pathophysiological mechanisms of HF. In the course of this review, we focused on the markers of congestion and renal dysfunction in terms of their interference with cardiovascular homeostasis. Congestion is a hallmark feature of heart failure, contributing to symptoms, morbidity, and hospitalizations of patients with HF and has, therefore, become a therapeutic target in AHF. On the other hand, impaired renal function by altering the volume status contributes to the development and progression of HF and serves as a marker of an adverse clinical outcome. Early detection of congestion and an adequate assessment of renal status are essential for the prompt administration of patient-tailored therapy. This review provides an insight into recent advances in the field of HF biomarkers that could be potentially implemented in diagnosis and risk stratification of patients with HF.

Indexed as

biomarkercongestionheart failurerenal dysfunction

Identifiers

PMID35743683
PMCPMC9224642
OpenAlexW4281902166

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.