Evidence map›Paper›PMID 30062216›Full record

ReviewJACC. Basic to translational science2018

Cardiovascular Precision Medicine in the Genomics Era.

Alexandra M Dainis, Euan A Ashley

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in JACC. Basic to translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Alexandra M DainisDepartment of Genetics, Stanford University, Stanford, California.
Euan A AshleyDepartment of Genetics, Stanford University, Stanford, California.
Stanford University · US

Funding

GENETICS TRAINING PROGRAM FOR PHD CANDIDATEST32GM007790 · NIGMS · STANFORD UNIVERSITY · PI BRUNET, ANNE, KINGSLEY, DAVID M · 1985 to 2020
$12.8M
Stanford Center for Undiagnosed DiseasesU01HG007708 · NHGRI · STANFORD UNIVERSITY · PI ASHLEY, EUAN A, BERNSTEIN, JONATHAN ADAM · 2014 to 2018
$8.0M
Stanford MoTrPAC Bioinformatics CenterU24EB023674 · NIBIB · STANFORD UNIVERSITY · PI ASHLEY, EUAN A · 2017 to 2017
$396k
NHGRI NIH HHS U01 HG007708NIBIB NIH HHS U24 EB023674NIGMS NIH HHS T32 GM007790
6 · The paper itself

Abstract

Precision medicine strives to delineate disease using multiple data sources-from genomics to digital health metrics-in order to be more precise and accurate in our diagnoses, definitions, and treatments of disease subtypes. By defining disease at a deeper level, we can treat patients based on an understanding of the molecular underpinnings of their presentations, rather than grouping patients into broad categories with one-size-fits-all treatments. In this review, the authors examine how precision medicine, specifically that surrounding genetic testing and genetic therapeutics, has begun to make strides in both common and rare cardiovascular diseases in the clinic and the laboratory, and how these advances are beginning to enable us to more effectively define risk, diagnose disease, and deliver therapeutics for each individual patient.

Indexed as

CAD, coronary artery diseaseCaM, calmodulinCF, cystic fibrosisCHD, coronary heart diseaseCML, chronic myelogenous leukemiaCRS, conventional risk scoreCVD, cardiovascular diseaseDCM, dilated cardiomyopathyDMD, Duchenne muscular dystrophyFH, familial hypercholesterolemiagenome sequencinggenomicsGRS, genomic risk scoreHCM, hypertrophic cardiomyopathyHDR, homology directed repairiPSC, induced pluripotent stem cellsIVF, in vitro fertilizationLDL-C, low-density lipoprotein cholesterolLQTS, long QT syndromeNGS, next-generation sequencingPGD, preimplantation genetic diagnosisprecision medicineSNP, single nucleotide polymorphismssODN, single-stranded oligodeoxynucleotidetargeted therapeutics

Identifiers

PMID30062216
PMCPMC6059349
OpenAlexW2802873999

What Socratic holds

Textmetadata
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 Socratic graph.