Evidence map›Paper›PMID 35860859›Full record

ArticleESC heart failure2022

Resistin and risks of incident heart failure subtypes and cardiac fibrosis: the Multi-Ethnic Study of Atherosclerosis.

Xinjiang Cai, Matthew A Allison, Bharath Ambale-Venkatesh, Neal W Jorgensen, Joao A C Lima, Evan D Muse, Robyn L McClelland, Steven Shea, Djamel Lebeche

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Observational
  2. Review
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  5. Article
  6. Rewiring the scar: translational advances in cardiac fibrosis.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
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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

9 authors at 7 institutions in 1 country.

Xinjiang CaiCardiovascular Research Institute, Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-8933-7133
Matthew A AllisonDepartment of Family Medicine, University of California, San Diego, La Jolla, CA, USA.
Bharath Ambale-VenkateshDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Neal W JorgensenDepartment of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA.
Joao A C LimaDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Evan D MuseScripps Research Translational Institute and Division of Cardiovascular Diseases, Scripps Clinic, La Jolla, CA, USA.
Robyn L McClellandDepartment of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA.
Steven SheaDepartments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA.
Djamel LebecheCardiovascular Research Institute, Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7911-2923
Johns Hopkins University · USUniversity of Washington · USColumbia University Irving Medical Center · USScripps Research Institute · USUniversity of California, Los Angeles · USUniversity of California San Diego · USUniversity of Tennessee Health Science Center · US

Funding

CARDIOVASCULAR SCIENTIST TRAINING PROGRAMT32HL007895 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHIVKUMAR, KALYANAM, WATSON, KAROL E · 1998 to 2023
$9.2M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00003 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2020 to 2025
$3.8M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00007 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BERTONI, ALAIN GERALD · 2020 to 2025
$3.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00002 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN J · 2020 to 2025
$3.4M
Abdominal Body Composition, Inflammation and Cardiovascular DiseaaseR01HL088451 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALLISON, MATTHEW A · 2007 to 2011
$2.5M
NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS R01 HL088451NHLBI NIH HHS T32 HL007895
6 · The paper itself

Abstract

aimsResistin is a circulating inflammatory biomarker that is associated with cardiovascular disease. We investigated the associations of resistin and incident heart failure (HF) and its subtypes, as well as specific measures of subclinical HF (myocardial fibrosis and relevant biomarkers).

methodsWe analysed data from 1968 participants in the Multi-Ethnic Study of Atherosclerosis with measurements of plasma resistin levels at clinic visits from 2002 to 2005. Participants were subsequently followed for a median of 10.5 years for HF events. The associations between resistin levels and incident HF, HF with reduced ejection fraction (HFrEF), and HF with preserved ejection fraction (HFpEF) were examined using multivariable Cox proportional hazards models. Linear regression models assessed the associations between resistin levels and myocardial fibrosis from cardiac magnetic resonance imaging, as well as hs-cTnT and NT-proBNP.

resultsThe mean age of the cohort was 64.7 years, and 50.0% were female. Seventy-four participants (4%) developed incident HF during follow-up. In a Cox proportional hazards model adjusted for age, gender, education level, race/ethnicity, and traditional risk factors, higher resistin levels were significantly associated with incident HF (HR 1.44, CI 1.18-1.75, P = 0.001) and HFrEF (HR 1.47, CI 1.07-2.02, P = 0.016), but not with HFpEF (HR 1.25, CI 0.89-1.75, P = 0.195). Resistin levels showed no significant associations with myocardial fibrosis, NT-proBNP, or hs-cTnT levels.

conclusionsIn a multi-ethnic cohort free of cardiovascular disease at baseline, elevated resistin levels were associated with incident HF, more prominently with incident HFrEF than HFpEF, but not with subclinical myocardial fibrosis or biomarkers of HF.

Indexed as

AtherosclerosisCardiovascular DiseasesHeart FailureBiomarkersEthnicityFemaleFibrosisHumansMaleMiddle AgedResistinStroke VolumeBiomarkersResistinCardiac fibrosisHeart failureResistinTroponin

Identifiers

PMID35860859
PMCPMC9715803
OpenAlexW4286501630

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.