Evidence map›Paper›PMID 31175525›Full record

ReviewThe international journal of cardiovascular imaging2019

Cross-sectional imaging of congenital pulmonary artery anomalies.

Evan J Zucker

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Congenital Pulmonary Artery Anomalies: What Every Radiologist Should Know.Journal of the Belgian Society of Radiology · 2026
    Article
  4. Article
  5. Review
  6. Topical issue: advanced imaging and endovascular treatment in pulmonary artery diseases.The international journal of cardiovascular imaging · 2019
    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

1 author at 1 institution in 1 country.

Evan J ZuckerDepartment of Radiology, Stanford University School of Medicine, 725 Welch Road, Stanford, CA, 94305, USA. zucker@post.harvard.edu.ORCID http://orcid.org/0000-0002-0667-6322
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital pulmonary artery (PA) anomalies comprise a rare and heterogeneous spectrum of disease, ranging from abnormal origins to complete atresia. They may present in early infancy or more insidiously in adulthood, often in association with congenital heart disease such as tetralogy of Fallot or other syndromes. In recent years, cross-sectional imaging, including computed tomography (CT) and magnetic resonance imaging (MRI), has become widely utilized for the noninvasive assessment of congenital PA diseases, supplementing echocardiography and at times supplanting invasive angiography. In this article, modern CT and MRI techniques for imaging congenital PA disorders are summarized. The key clinical features, cross-sectional imaging findings, and treatment options for the most commonly encountered entities are then reviewed. Emphasis is placed on the ever-growing role of cross-sectional imaging options in facilitating early and accurate diagnosis and tailored treatment.

Indexed as

Computed Tomography AngiographyHeart Defects, CongenitalHemodynamicsHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMultidetector Computed TomographyPredictive Value of TestsPrognosisPulmonary ArteryPulmonary CirculationReproducibility of ResultsComputed tomographyCongenitalCongenital heart diseaseCross-sectionalMagnetic resonance imagingPulmonary artery

Identifiers

PMID31175525
OpenAlexW2948944064

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.