Evidence map›Paper›PMID 31911262›Full record

ArticleAmerican heart journal2020

Association of plasma-soluble ST2 and galectin-3 with cardiovascular events and mortality following cardiac surgery.

Dipal M Patel, Heather Thiessen-Philbrook, Jeremiah R Brown, Eric McArthur, Dennis G Moledina, Sherry G Mansour, Michael G Shlipak, Jay L Koyner, Peter Kavsak, Richard P Whitlock and 5 more

Open access · greenAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in American heart journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

15 authors at 9 institutions in 2 countries.

Dipal M PatelProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT.
Heather Thiessen-PhilbrookDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD.
Jeremiah R BrownDartmouth Institute for Health Policy and Clinical Practice, and the Departments of Biomedical Data Science and Epidemiology, Geisel School of Medicine, Lebanon, NH.
Eric McArthurICES, Toronto, ON, Canada.
Dennis G MoledinaProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT; Section of Nephrology, Yale University School of Medicine, New Haven, CT.
Sherry G MansourProgram of Applied Translational Research, Department of Medicine, Yale University School of Medicine, New Haven, CT; Section of Nephrology, Yale University School of Medicine, New Haven, CT.
Michael G ShlipakKidney Health Research Collaborative, University of California San Francisco, San Francisco, CA; Department of Medicine, San Francisco VA Medical Center and University of California, San Francisco, CA.
Jay L KoynerSection of Nephrology, Department of Medicine, University of Chicago, Pritzker School of Medicine, Chicago, IL.
Peter KavsakDepartments of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.
Richard P WhitlockPopulation Health Research Institute and Department of Surgery, McMaster University, Hamilton, ON, Canada.
Allen D EverettDivision of Cardiology, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD.
David J MalenkaDartmouth Institute for Health Policy and Clinical Practice, and the Departments of Biomedical Data Science and Epidemiology, Geisel School of Medicine, Lebanon, NH.
Amit X GargICES, Toronto, ON, Canada; Division of Nephrology, Department of Medicine, Western University, London, ON, Canada.
Steven G CocaDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD. Electronic address: chirag.parikh@jhmi.edu.
Yale University · USDartmouth Institute for Health Policy and Clinical Practice · USJohns Hopkins Medicine · USMcMaster University · CAIcahn School of Medicine at Mount Sinai · USJohns Hopkins University · USUniversity of California, San Francisco · USUniversity of Chicago · USWestern University · CA

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Identification of Non-Invasive Biomarkers and Indices for Diagnosis of Drug-Induced Acute Interstitial NephritisK23DK117065 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2018 to 2022
$920k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK117065NIDDK NIH HHS U01 DK082185
6 · The paper itself

Abstract

backgroundCardiac surgery induces hemodynamic stress on the myocardium, and this process can be associated with significant post-operative morbidity and mortality. Soluble suppression of tumorigenicity 2 (sST2) and galectin-3 (gal-3) are biomarkers of myocardial remodeling and fibrosis; however, their potential association with post-operative changes is unknown.

methodsWe measured peri-operative plasma sST2 and gal-3 levels in two prospective cohorts (TRIBE-AKI and NNE) of over 1800 patients who underwent cardiac surgery. sST2 and gal-3 levels were evaluated for association with a composite primary outcome of cardiovascular event or mortality over median follow-up periods of 3.4 and 6.0 years, respectively, for the two cohorts. Meta-analysis of hazard ratio estimates from the cohorts was performed using random effects models.

resultsCohorts demonstrated event rates of 70.2 and 66.8 per 1000 person-years for the primary composite outcome. After adjustment for clinical covariates, higher post-operative sST2 and gal-3 levels were significantly associated with cardiovascular event or mortality [pooled estimate HRs: sST2 1.29 (95% CI 1.16, 1.44); gal-3 1.26 (95% CI 1.09, 1.46)]. These associations were not significantly modified by pre-operative congestive heart failure or AKI.

conclusionsHigher post-operative sST2 and gal-3 values were associated with increased incidence of cardiovascular event or mortality. These two biomarkers should be further studied for potential clinical utility for patients undergoing cardiac surgery.

Indexed as

Acute Kidney InjuryAgedBiomarkersBlood ProteinsCardiac Surgical ProceduresCardiovascular DiseasesCause of DeathCohort StudiesCoronary Artery BypassFemaleGalectin 3GalectinsHeart Valve Prosthesis ImplantationHumansInterleukin-1 Receptor-Like 1 ProteinMaleBiomarkersBlood ProteinsGalectin 3GalectinsIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 ProteinLGALS3 protein, human

Identifiers

PMID31911262
PMCPMC7008086
OpenAlexW2993979434

What OpenQuestion holds

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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.