Evidence map›Paper›PMID 30219541›Full record

ArticleInternational journal of cardiology2018

Cytokines profile of reverse cardiac remodeling following transcatheter aortic valve replacement.

Juyong Brian Kim, Yukari Kobayashi, Tatiana Kuznetsova, Kegan J Moneghetti, Daniel A Brenner, Ryan O'Malley, Catherine Dao, Joseph C Wu, Michael Fischbein, D Craig Miller and 4 more

Open access · greenAbstract read
In one paragraph

Article in International journal of cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Juyong Brian KimDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States. Electronic address: kimjb@stanford.edu.
Yukari KobayashiDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States.
Tatiana KuznetsovaResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Kegan J MoneghettiDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States.
Daniel A BrennerDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Ryan O'MalleyDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Catherine DaoDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Joseph C WuDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States.
Michael FischbeinStanford Cardiovascular Institute, Stanford, CA, United States; Department of Cardiovascular Surgery, Stanford University School of Medicine, Stanford, CA, United States.
D Craig MillerStanford Cardiovascular Institute, Stanford, CA, United States; Department of Cardiovascular Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Alan C YeungDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States.
David LiangDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States.
Francois HaddadDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States.
William F FearonDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States; Stanford Cardiovascular Institute, Stanford, CA, United States. Electronic address: wfearon@stanford.edu.
Stanford University · USCardiovascular Institute of the South · USKU Leuven · BE

Funding

Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
Assessment of Low-Dose Radiation Risk and Mechanisms of Individual RadiosensitivityR01HL132875 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2016 to 2019
$1.9M
NHLBI NIH HHS R01 HL132875NIBIB NIH HHS T32 EB009035
6 · The paper itself

Abstract

objectivePrevious studies have suggested that cytokines and growth factors may predict ventricular recovery following aortic valve replacement (AVR). The primary objective of this study was to identify cytokines that predict ventricular recovery following transcatheter AVR (TAVR).

methodsWe prospectively enrolled 121 consecutive patients who underwent TAVR. Standard echocardiographic assessment at baseline, 1-month and 1-year after TAVR included left ventricular (LV) mass index (LVMI) and global longitudinal strain (GLS). Blood samples were obtained at the time of the procedure to measure cytokines using a 63-plex Luminex platform. Partial least squares-discriminant analysis was performed to identify cytokines associated with ventricular remodeling and function at baseline as well as 1 year after TAVR.

resultsThe mean age was 84 ± 9 years, with a majority of male subjects (59%), a mean LVMI of 120.4 ± 45.1 g/m

conclusionWe identified a network of cytokines, including HGF, that are significantly correlated with baseline LVMI and GLS, and ventricular recovery following TAVR.

Indexed as

AgedAged, 80 and overAortic Valve StenosisBiomarkersCohort StudiesCytokinesFemaleHumansMaleProspective StudiesTranscatheter Aortic Valve ReplacementVentricular RemodelingBiomarkersCytokinesCytokinesTranscatheter aortic valve replacementVentricular adaptation

Identifiers

PMID30219541
PMCPMC6140353
OpenAlexW2891808389

What OpenQuestion holds

Textmetadata
LicenceTDM
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.