Evidence map›Paper›PMID 33690114›Full record

ArticleIEEE transactions on medical imaging2021

Novel Methodology for Measuring Regional Myocardial Efficiency.

Grant T Gullberg, Uttam M Shrestha, Alexander I Veress, W Paul Segars, Jing Liu, Karen Ordovas, Youngho Seo

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Grant T Gullberg
Uttam M Shrestha
Alexander I Veress
W Paul Segars
Jing Liu
Karen Ordovas
Youngho Seo
University of California, San Francisco · USDuke University · USUniversity of Washington · US

Funding

Precision Cardiac CT: Development of a Computational Platform for Optimizing ImagingR01HL131753 · NHLBI · DUKE UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2017 to 2020
$2.7M
Dynamic cardiac SPECTR01HL135490 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GULLBERG, GRANT T, SEO, YOUNGHO · 2017 to 2020
$2.4M
Staphylococcus serine hydrolases as targets for therapeutic and imaging contrast agentsR01EB026332 · NIBIB · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2018 to 2021
$1.4M
NHLBI NIH HHS R01 HL131753NHLBI NIH HHS R01 HL135490NIBIB NIH HHS R01 EB026332
6 · The paper itself

Abstract

Our approach differs from the usual global measure of cardiac efficiency by using PET/MRI to measure efficiency of small pieces of cardiac tissue whose limiting size is equal to the spatial resolution of the PET scanner. We initiated a dynamic cardiac PET study immediately prior to the injection of 15.1 mCi of

Indexed as

MyocardiumOxygen ConsumptionCoronary CirculationHeartHeart VentriclesHumansMagnetic Resonance Imaging, Cine

Identifiers

PMID33690114
PMCPMC8325923
OpenAlexW3134734670

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.