Evidence map›Paper›PMID 32674273›Full record

ArticleGenes2020

Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves.

Christina L Greene, Kevin J Jaatinen, Hanjay Wang, Tiffany K Koyano, Mary S Bilbao, Y Joseph Woo

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

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  16. Aortic valve disease in diabetes: Molecular mechanisms and novel therapies.Journal of cellular and molecular medicine · 2021
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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

6 authors at 2 institutions in 1 country.

Christina L GreeneDepartment of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA.
Kevin J JaatinenDepartment of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA.
Hanjay WangDepartment of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-2367-5591
Tiffany K KoyanoDepartment of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA.
Mary S BilbaoDepartment of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA.
Y Joseph WooDepartment of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA.
Stanford University · USCardiovascular Institute of the South · US

Funding

NIH HHS 5R01HL089315-11
6 · The paper itself

Abstract

The genetic mechanisms underlying aortic stenosis (AS) and aortic insufficiency (AI) disease progression remain unclear. We hypothesized that normal aortic valves and those with AS or AI all exhibit unique transcriptional profiles. Normal control (NC) aortic valves were collected from non-matched donor hearts that were otherwise acceptable for transplantation (

Indexed as

Transcription, GeneticAdultAgedAortic ValveAortic Valve DiseaseAortic Valve StenosisCalcinosisConstriction, PathologicFemaleGene Expression RegulationGene Regulatory NetworksHeart TransplantationHigh-Throughput Nucleotide SequencingHumansMaleMiddle Agedaortic insufficiencyaortic stenosisRNA sequencingtranscriptional profiling

Identifiers

PMID32674273
PMCPMC7397246
OpenAlexW3043083431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.