Evidence map›Paper›PMID 29180917›Full record

ArticleBiochemia medica2017

Establishing the upper reference limit of Galectin-3 in healthy blood donors.

Luisa Agnello, Chiara Bellia, Bruna Lo Sasso, Alessia Pivetti, Maddalena Muratore, Concetta Scazzone, Giulia Bivona, Giuseppe Lippi, Marcello Ciaccio

Open access · diamondAbstract read
In one paragraph

Article in Biochemia medica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  13. COVID-19 and Alzheimer's Disease.Brain sciences · 2021
    Review
  14. Article
  15. Article
  16. Galectin-3 in Cardiovascular Diseases.International journal of molecular sciences · 2020
    Review
  17. Article
  18. Article
  19. Galectin-3 in Acute Myocardial Infarction Patients with Atrial Fibrillation.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2019
    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

9 authors at 3 institutions in 1 country.

Luisa AgnelloSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Chiara BelliaSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Bruna Lo SassoSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Alessia PivettiSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Maddalena MuratoreUnit of Trasfusional Medicine, Villa Sofia-Cervello Hospital, Palermo, Italy.
Concetta ScazzoneSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Giulia BivonaSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Italy.
Marcello CiaccioSection of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologies, University of Palermo, Italy.
Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo · ITOspedale Vincenzo Cervello · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGalectin-3 (Gal-3) is an independent predictor of poor outcomes and mortality in patients with heart failure (HF). Thus, it has been proposed as a reliable prognostic biomarker for HF. The definition of reference intervals is mandatory for interpreting the findings of experimental studies and encouraging the routine use of biomarkers in clinical practice. To date, no study assessed the reference intervals of Gal-3 and identified the biological variables that affect its concentration in a well-defined healthy population. The aim of this study was to determine the upper reference limit (URL) of Gal-3 in a highly reliable population of healthy subjects. MATERIALS AND

methodsWe recruited 714 blood donors. After measuring surrogate biomarkers to identify underlying diseases, 8 subjects were excluded. A final population of 706 individuals (385 men (54.5%); median age 39 (18-65) years) was included. The URL was calculated using the non-parametric percentile approach.

resultsThe 97.5th percentile URL of plasma Gal-3 in our study population (90% CI) was 26.1 (23.3-31.5) ng/mL. After stratifying subjects according to age, the URL of Gal-3 was found to be considerably higher in older (> 45 years) than in younger subjects (31.5 (26.2-51.4) vs 21.8 (21-26.1) ng/mL, respectively). No sex-related differences were found in Gal-3 plasma concentration.

conclusionsWe established the URL of Gal-3 in a highly selected healthy population. Our findings indicate that age is an important determinant of Gal-3 plasma concentration, so that multiple diagnostic cut-offs should be preferably used according to the different age classes.

Indexed as

ImmunoassayAdolescentAdultAgedBiomarkersBlood DonorsFemaleGalectin 3Glomerular Filtration RateHealthy VolunteersHumansMaleMiddle AgedNatriuretic Peptide, BrainReference ValuesTroponin IBiomarkersGalectin 3Natriuretic Peptide, BrainTroponin Iblood donorsgalectin-3heart failurereference valuesupper reference limit (URL)

Identifiers

PMID29180917
PMCPMC5696745
OpenAlexW2760856047

What OpenQuestion holds

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LicenceCC BY
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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.