Evidence map›Paper›PMID 28516485›Full record

ArticleMagnetic resonance in medicine2018

Simultaneous measurement of T

Eric Aliotta, Kévin Moulin, Zhaohuan Zhang, Daniel B Ennis

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Fast TMagnetic resonance in medicine · 2020
    Article
  4. Review
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

4 authors at 1 institution in 1 country.

Eric AliottaDepartment of Radiological Sciences, University of California, Los Angeles, California, USA.
Kévin MoulinDepartment of Radiological Sciences, University of California, Los Angeles, California, USA.
Zhaohuan ZhangDepartment of Radiological Sciences, University of California, Los Angeles, California, USA.
Daniel B EnnisDepartment of Radiological Sciences, University of California, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

Validating Cardiac MRI Biomarkers and Genotype-Phenotype Correlations for DMDR01HL131975 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENNIS, DANIEL B · 2016 to 2019
$2.5M
NHLBI NIH HHS R01 HL131975
6 · The paper itself

Abstract

purposeTo evaluate a technique for simultaneous quantitative T THEORY AND

methodsT

resultsPhantom T

conclusionT

Indexed as

AlgorithmsCardiac Imaging TechniquesDiffusion Magnetic Resonance ImagingHeartHumansMovementMyocardial InfarctionPhantoms, ImagingReproducibility of ResultsCardiacDWIT2 Mapping

Identifiers

PMID28516485
PMCPMC5891215
OpenAlexW2614548426

What OpenQuestion holds

Textmetadata
LicenceTDM
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.