Evidence map›Paper›PMID 24200688›Full record

ArticleJournal of the American Heart Association2013

Association of novel biomarkers of cardiovascular stress with left ventricular hypertrophy and dysfunction: implications for screening.

Vanessa Xanthakis, Martin G Larson, Kai C Wollert, Jayashri Aragam, Susan Cheng, Jennifer Ho, Erin Coglianese, Daniel Levy, Wilson S Colucci, G Michael Felker and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Cardiovascular Biomarkers: Lessons of the Past and Prospects for the Future.International journal of molecular sciences · 2022
    Review
  11. Article
  12. Article
  13. Change in Cardiac Biomarkers and Risk of Incident Heart Failure and Atrial Fibrillation in CKD: The Chronic Renal Insufficiency Cohort (CRIC) Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Observational
  14. Article
  15. Review
  16. Article
  17. Article
  18. 70-year legacy of the Framingham Heart Study.Nature reviews. Cardiology · 2019
    Review
  19. Article
  20. 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

14 authors at 7 institutions in 2 countries.

Vanessa XanthakisFramingham Heart Study, Framingham, MA.
Martin G Larson
Kai C Wollert
Jayashri Aragam
Susan Cheng
Jennifer Ho
Erin Coglianese
Daniel Levy
Wilson S Colucci
G Michael Felker
Emelia J Benjamin
James L Januzzi
Thomas J Wang
Ramachandran S Vasan
Boston University · USHarvard University · USDuke University · USLoyola University Chicago · USMedizinische Hochschule Hannover · DENational Heart Lung and Blood Institute · USVanderbilt University · US

Funding

Myocardial and Arterial Aging: Spectrum, Correlates, and PrognosisK99HL107642 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHENG, SUSAN · 2012 to 2013
$276k
NHLBI NIH HHS K99-HL-107642NHLBI NIH HHS N01-HC-25915NHLBI NIH HHS R01-HL-08675
6 · The paper itself

Abstract

backgroundCurrently available screening tools for left ventricular (LV) hypertrophy (LVH) and systolic dysfunction (LVSD) are either expensive (echocardiography) or perform suboptimally (B-type natriuretic peptide [BNP]). It is unknown whether newer biomarkers are associated with LVH and LVSD and can serve as screening tools. METHODS AND

resultsWe studied 2460 Framingham Study participants (mean age 58 years, 57% women) with measurements of biomarkers mirroring cardiac biomechanical stress (soluble ST-2 [ST2], growth differentiation factor-15 [GDF-15] and high-sensitivity troponin I [hsTnI]) and BNP. We defined LVH as LV mass/height(2) ≥the sex-specific 80th percentile and LVSD as mild/greater impairment of LV ejection fraction (LVEF) or a fractional shortening <0.29. Adjusting for standard risk factors in logistic models, BNP, GDF-15, and hsTnI were associated with the composite echocardiographic outcome (LVH or LVSD), odds ratios (OR) per SD increment in log-biomarker 1.29, 1.14, and 1.18 (95% CI: 1.15 to 1.44, 1.004 to 1.28, and 1.06 to 1.31), respectively. The C-statistic for the composite outcome increased from 0.765 with risk factors to 0.770 adding BNP, to 0.774 adding novel biomarkers. The continuous Net Reclassification Improvement was 0.212 (95% CI: 0.119 to 0.305, P<0.0001) after adding the novel biomarkers to risk factors plus BNP. BNP was associated with LVH and LVSD in multivariable models, whereas GDF-15 was associated with LVSD (OR 1.41, 95% CI: 1.16 to 1.70), and hsTnI with LVH (OR 1.22, 95% CI: 1.09 to 1.36). ST2 was not significantly associated with any outcome.

conclusionsOur community-based investigation suggests that cardiac stress biomarkers are associated with LVH and LVSD but may have limited clinical utility as screening tools.

Indexed as

Stress, PhysiologicalStroke VolumeVentricular Function, LeftAgedBiomarkersEchocardiography, DopplerFemaleGrowth Differentiation Factor 15HumansHypertrophy, Left VentricularInterleukin-1 Receptor-Like 1 ProteinLogistic ModelsMaleMassachusettsMiddle AgedMultivariate AnalysisBiomarkersGDF15 protein, humanGrowth Differentiation Factor 15IL1RL1 protein, humanInterleukin-1 Receptor-Like 1 ProteinNatriuretic Peptide, BrainReceptors, Cell SurfaceTroponin Ibiomarkersechocardiographyheart failurehypertrophyscreening

Identifiers

PMID24200688
PMCPMC3886765
OpenAlexW2146070412

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.