Evidence map›Paper›PMID 28559694›Full record

ReviewClujul medical (1957)2017

Galectin-3: a novel biomarker for the prognosis of heart failure.

Hilman Zulkifli Amin, Lukman Zulkifli Amin, Ika Prasetya Wijaya

Open access · bronzeAbstract readReview
In one paragraph

Review in Clujul medical (1957), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  9. Cardiovascular Biomarkers: Tools for Precision Diagnosis and Prognosis.International journal of molecular sciences · 2025
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  17. Galectin-3 Mediates Vascular Dysfunction in Obesity by Regulating NADPH Oxidase 1.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Article
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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

3 authors at 1 institution in 1 country.

Hilman Zulkifli AminDepartment of Internal Medicine, Faculty of Medicine, Universitas Indonesia.
Lukman Zulkifli AminDepartment of Internal Medicine, Faculty of Medicine, Universitas Indonesia.
Ika Prasetya WijayaDepartment of Internal Medicine, Faculty of Medicine, Universitas Indonesia.
University of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is still a global burden which carries substantial risk of morbidity and mortality. Thus, appropriate approach of diagnosis and layering the prognosis of HF are of great importance. In this paper we discuss and review a novel biomarker, which is called galectin-3 and already approved by Food and Drugs Administration (FDA) as a prediction tool for HF. Galectin-3, which is secreted by macrophages under the influence of mediators like osteopontin, has been known for its significant role in mediating cardiac fibrosis and inflammation. Numerous studies have shown galectin-3 as a novel prognostic biomarker with high predictive value for cardiovascular mortality and re-hospitalization in HF patients. However, there are also other contradictive studies displayed galectin-3 inferiority against other existed HF prognostic biomarkers like NT-proBNP and ST2. Nevertheless, galectin-3 has some advantages such as more stability and resistance against hemodynamic loading and unloading state, and also it could act as an early indicator of cardiac fibrosis, ventricular remodeling, and renal impairment in HF patients.

Indexed as

galectin-3heart failureprognosis

Identifiers

PMID28559694
PMCPMC5433562
OpenAlexW2603584455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.