Evidence map›Paper›PMID 36265986›Full record

ReviewSeminars in roentgenology2022

Imaging Challenges in Chronic Dissection.

Jody Shen, Domenico Mastrodicasa, Justin R Tse, Dominik Fleischmann

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

Review in Seminars in roentgenology, 2022. 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
0.6field-weighted citation impact, top 31% 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, 4 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

4 authors at 1 institution in 1 country.

Jody ShenDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA. Electronic address: jodyshen@stanford.edu.
Domenico MastrodicasaDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA.
Justin R TseDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA.
Dominik FleischmannDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA.
Stanford University · US

Funding

Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
NIBIB NIH HHS T32 EB009035
6 · The paper itself

Abstract

Chronic aortic dissection comprises a heterogeneous group of unrepaired and repaired disease requiring lifelong clinical and imaging surveillance. CT and MRI are the main imaging modalities for longitudinal surveillance, with growing interest in emerging imaging techniques for prognostic potential. Imaging difficulties span technical and diagnostic challenges, some of which are unique to the repaired aorta, with specific complications depending on the type of repair. This review describes existing and emerging imaging techniques, outlines the technical and diagnostic challenges encountered at CT and MRI, and highlights the diagnostic pitfalls of chronic aortic dissection.

Indexed as

Aortic DissectionHumansMagnetic Resonance Imaging

Identifiers

PMID36265986
PMCPMC10026356
OpenAlexW4288808985

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.