Evidence map›Paper›PMID 41446738›Full record

ArticleiScience2025

Combined concentrations and genetic variability of fibroblast growth factors predict cardiovascular risk in renal patients.

Laura González-Rodríguez, Manuel Martí-Antonio, Sonia Mota-Zamorano, Celia Chicharro, Bárbara Cancho, Álvaro Álvarez, Zoraida Verde, Ana Fernández-Araque, Fernando Bandrés, Nicolás Roberto Robles and 1 more

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Laura González-RodríguezDepartment of Medical and Surgical Therapeutics, Medical School, Universidad de Extremadura, 06006 Badajoz, Spain.
Manuel Martí-AntonioVascular and Renal Translational Research Group, Institute for Biomedical Research, Lleida, Spain.
Sonia Mota-ZamoranoDepartment of Medical and Surgical Therapeutics, Plasencia University Center, Universidad de Extremadura, 10600 Plasencia, Spain.
Celia ChicharroDepartment of Biochemistry, Molecular Biology and Physiology, Universidad de Valladolid, 42002 42005 Soria, Spain.
Bárbara CanchoService of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
Álvaro ÁlvarezService of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
Zoraida VerdeDepartment of Biochemistry, Molecular Biology and Physiology, Universidad de Valladolid, 42002 42005 Soria, Spain.
Ana Fernández-AraqueGIR-Pharmacogenetics, Cancer Genetics, Genetic Polymorphisms and Pharmacoepidemiology, University of Valladolid, 47005 Valladolid, Spain.
Fernando BandrésBiopathology-Toxicology Laboratory, Department of Legal Medicine, Psychiatry and Pathology, Faculty of Medicine, University Complutense of Madrid, 28040 Madrid, Spain.
Nicolás Roberto RoblesService of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
Guillermo GervasiniDepartment of Medical and Surgical Therapeutics, Medical School, Universidad de Extremadura, 06006 Badajoz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a major risk factor for cardiovascular events (CVE). We assessed whether circulating levels and genetic variability of endocrine fibroblast growth factors (FGF19, FGF21, and FGF23) could predict CV risk in these patients. In 1,182 participants (815 CKD patients and 367 controls), plasma FGF concentrations and 46 gene variants were analyzed, with participants followed-up for a mean of 37.6 ± 25.7 months for CVE. Clustering based on combined scores for all three FGF concentrations correlated strongly with CKD severity (

Indexed as

Health sciences

Identifiers

PMID41446738
PMCPMC12723164

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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.