Evidence map›Paper›PMID 24231657›Full record

ArticleJournal of the American Heart Association2013

Preliminary biomarkers for identification of human ascending thoracic aortic aneurysm.

Kendra M Black, Akihiro Masuzawa, Robert C Hagberg, Kamal R Khabbaz, Mary E Trovato, Verna M Rettagliati, Manoj K Bhasin, Simon T Dillon, Towia A Libermann, Ioannis K Toumpoulis and 2 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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. The role of transforming growth factor beta in bicuspid aortic valve aortopathy.Indian journal of thoracic and cardiovascular surgery · 2023
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Is there a role for biomarkers in thoracic aortic aneurysm disease?General thoracic and cardiovascular surgery · 2019
    Review
  13. Article
  14. 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

12 authors at 2 institutions in 1 country.

Kendra M BlackDivision of Cardiothoracic Surgery, Beth Israel Deaconess Medical Center, Boston, MA.
Akihiro Masuzawa
Robert C Hagberg
Kamal R Khabbaz
Mary E Trovato
Verna M Rettagliati
Manoj K Bhasin
Simon T Dillon
Towia A Libermann
Ioannis K Toumpoulis
Sidney Levitsky
James D McCully
Beth Israel Deaconess Medical Center · USHarvard University · US

Funding

MYOCARDIAL PROTECTION: REPERFUSION INJURY AMELIORATIONR01HL029077 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LEVITSKY, SIDNEY, MCCULLY, JAMES D · 1985 to 2010
$4.1M
NHLBI NIH HHS HL029077NHLBI NIH HHS HL103542NHLBI NIH HHS R01 HL029077
6 · The paper itself

Abstract

backgroundHuman ascending thoracic aortic aneurysms (ATAAs) are life threatening and constitute a leading cause of mortality in the United States. Previously, we demonstrated that collagens α2(V) and α1(XI) mRNA and protein expression levels are significantly increased in ATAAs. METHODS AND

resultsIn this report, the authors extended these preliminary studies using high-throughput proteomic analysis to identify additional biomarkers for use in whole blood real-time RT-PCR analysis to allow for the identification of ATAAs before dissection or rupture. Human ATAA samples were obtained from male and female patients aged 65 ± 14 years. Both bicuspid and tricuspid aortic valve patients were included and compared with nonaneurysmal aortas (mean diameter 2.3 cm). Five biomarkers were identified as being suitable for detection and identification of ATAAs using qRT-PCR analysis of whole blood. Analysis of 41 samples (19 small, 13 medium-sized, and 9 large ATAAs) demonstrated the overexpression of 3 of these transcript biomarkers correctly identified 79.4% of patients with ATAA of ≥4.0 cm (P<0.001, sensitivity 0.79, CI=0.62 to 0.91; specificity 1.00, 95% CI=0.42 to 1.00).

conclusionA preliminary transcript biomarker panel for the identification of ATAAs using whole blood qRT-PCR analysis in men and women is presented.

Indexed as

Real-Time Polymerase Chain ReactionAgedAortic Aneurysm, ThoracicBiomarkersCase-Control StudiesCluster AnalysisFemaleGene Regulatory NetworksGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiddle AgedPhenotypePredictive Value of TestsBiomarkersGenetic MarkersRNA, Messengerascending thoracic aortic aneurysmcollagenFHL1

Identifiers

PMID24231657
PMCPMC3886733
OpenAlexW2140208966

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.