Evidence map›Paper›PMID 34132927›Full record

ReviewLa Radiologia medica2021

How to do left atrial late gadolinium enhancement: a review.

Jason Craft, Yulee Li, Salman Bhatti, Jie Jane Cao

Abstract readReview
PubMed Publisher
In one paragraph

Review in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Jason CraftSt Francis Hospital, Dematteis Research Center, 101 Northern Blvd, Greenvale, NY, 11548, USA. Jason.Craft@chsli.org.
Yulee LiSt Francis Hospital, Dematteis Research Center, 101 Northern Blvd, Greenvale, NY, 11548, USA.
Salman BhattiThe Ohio State University Wexner Medical Center, 410 W 10th Ave, Columbus, OH, 43210, USA.
Jie Jane CaoSt Francis Hospital, Dematteis Research Center, 101 Northern Blvd, Greenvale, NY, 11548, USA.
St. Francis Hospital · USThe Ohio State University Wexner Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantification of left atrial late gadolinium enhancement is a powerful clinical and research tool. Fibrosis burden has been shown to predict the success of pulmonary vein isolation, post-ablation reoccurrence, and major adverse cardiovascular events such as stroke. OVERVIEW: The standardized cardiovascular magnetic resonance imaging protocols 2020 update describes the key components of the examination. This review is a more in-depth guide, geared toward building left atrial late gadolinium enhancement imaging from the ground up. The standard protocol consists of the following: localization, pulmonary vein magnetic resonance angiography, cardiac cines, left ventricular, and atrial late gadolinium enhancement. We also review typical segmentation and post-processing techniques, as well as discuss pitfalls, limitations, and potential future innovations in this area.

conclusionsWith sufficient experience and optimized protocols, left atrial late gadolinium enhancement imaging is a strong addition to the cardiac magnetic resonance imaging repertoire.

Indexed as

Contrast MediaGadoliniumImage EnhancementAtrial FibrillationFibrosisHeart AtriaHumansImage Processing, Computer-AssistedMagnetic Resonance AngiographyMagnetic Resonance ImagingContrast MediaGadoliniumAtrial fibrillationLeft atrial fibrosisMagnetic resonance angiographyReview article

Identifiers

PMID34132927
OpenAlexW3173083520

What OpenQuestion holds

Textmetadata
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.