Evidence map›Paper›PMID 33566456›Full record

ArticleESC heart failure2021

The diagnostic and prognostic value of galectin-3 in patients at risk for heart failure with preserved ejection fraction: results from the DIAST-CHF study.

Tobias Daniel Trippel, Meinhard Mende, Hans-Dirk Düngen, Djawid Hashemi, Johannes Petutschnigg, Kathleen Nolte, Christoph Herrmann-Lingen, Lutz Binder, Gerd Hasenfuss, Burkert Pieske and 2 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

12 authors at 6 institutions in 1 country.

Tobias Daniel TrippelDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Meinhard MendeClinical Trial Centre (KKS) and Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Hans-Dirk DüngenDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Djawid HashemiDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Johannes PetutschniggDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Kathleen NolteDepartment of Cardiology and Pneumology, Heart Center Göttingen, Göttingen, Germany.
Christoph Herrmann-LingenDZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany.
Lutz BinderDZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany.
Gerd HasenfussDepartment of Cardiology and Pneumology, Heart Center Göttingen, Göttingen, Germany.
Burkert PieskeDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Rolf WachterDepartment of Cardiology and Pneumology, Heart Center Göttingen, Göttingen, Germany.
Frank EdelmannDepartment of Internal Medicine and Cardiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
German Centre for Cardiovascular Research · DECharité - Universitätsmedizin Berlin · DEDeutsches Herzzentrum der Charité · DELeipzig University · DEUniversitätsmedizin Göttingen · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsGalectin-3 (Gal-3) predicts long-term outcome among patients with heart failure (HF) with preserved ejection fraction (HFpEF). The ability of Gal-3 to diagnose and predict incident HFpEF in a cohort at risk for HFpEF is of particular interest. We aimed to determine the association between Gal-3 and clinical manifestations of HFpEF, the relationship between Gal-3 and all-cause mortality, or the composite of cardiovascular hospitalization and death. METHODS AND

resultsThe observational Diast-CHF study included patients aged 50 to 85 years with ≥1 risk factor for HF (e.g. hypertension, diabetes mellitus, and atherosclerotic disease) or previously suspected HF. Patients were followed for 10 years. The association between Gal-3, evidence of diastolic dysfunction, and Framingham criteria for HF was examined. All deaths and hospitalizations were adjudicated as cardiovascular or non-cardiovascular. The analysis population was composed of 1386 subjects (67 years old, 50.9% female). The area under the receiver operating characteristic curve to diagnose HFpEF was 0.71. At a cut-off value of 13.57 ng/mL, sensitivity was 0.61 and specificity was 0.73 for Gal-3, and the diagnostic power to detect HFpEF was superior to N-terminal pro-brain natriuretic peptide (area under the receiver operating characteristic curve 0.59, P > 0.001). Baseline Gal-3 was associated with risk factors for HF (P < 0.001). Higher levels of Gal-3 predicted incident HFpEF (P < 0.05), adjusted all-cause mortality (P < 0.001), and the adjusted composite of cardiovascular hospitalization and death (P < 0.001), both independent from N-terminal pro-brain natriuretic peptide.

conclusionsGal-3 differentiated patients with HFpEF from an overall cohort of well-characterized patients with risk factors for HFpEF. Independent of other factors, baseline Gal-3 levels were associated with a higher risk for incident HFpEF, mortality, or the composite of cardiovascular hospitalization and death over 10 year follow-up. In conjunction with clinical parameters, Gal-3 adds a statistically significant value for the diagnosis of HFpEF within this study, yet the clinical relevance remains debatable.

Indexed as

Heart FailureAgedBiomarkersBlood ProteinsFemaleGalectin 3GalectinsHumansMalePrognosisStroke VolumeBiomarkersBlood ProteinsGalectin 3GalectinsLGALS3 protein, humanBiomarkersGalectin-3Heart failureHFpEFMortalityRisk prediction

Identifiers

PMID33566456
PMCPMC8006663
OpenAlexW3127086367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.