Evidence map›Paper›PMID 34741177›Full record

ReviewPediatric radiology2022

Imaging of congenital genitourinary anomalies.

Patricia T Acharya, Skorn Ponrartana, Lillian Lai, Evalynn Vasquez, Fariba Goodarzian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Patricia T AcharyaDepartment of Radiology, Children's Hospital Los Angeles, 4650 Sunset Blvd., Mailstop #81, Los Angeles, CA, 90027, USA. pacharya@chla.usc.edu.ORCID http://orcid.org/0000-0002-4777-0542
Skorn PonrartanaDepartment of Radiology, Children's Hospital Los Angeles, 4650 Sunset Blvd., Mailstop #81, Los Angeles, CA, 90027, USA.
Lillian LaiDepartment of Radiology, Children's Hospital Los Angeles, 4650 Sunset Blvd., Mailstop #81, Los Angeles, CA, 90027, USA.
Evalynn VasquezKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Fariba GoodarzianDepartment of Radiology, Children's Hospital Los Angeles, 4650 Sunset Blvd., Mailstop #81, Los Angeles, CA, 90027, USA.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital genitourinary anomalies are among the most frequent types of birth defects in neonates. Some anomalies can be a significant cause of morbidity in infancy, while others remain asymptomatic even until adulthood and can be at times the only manifestation of a complex systemic disease. The spectrum of these anomalies results from the developmental insults that can occur at various embryologic stages, and an understanding of the formation of the genitourinary system is helpful in the evaluation and treatment of a child with a congenital genitourinary anomaly. Imaging plays an essential role in the diagnosis of congenital genitourinary anomalies and treatment planning. In this article, we highlight the embryologic and characteristic imaging features of various congenital genitourinary anomalies, demonstrate the utility of different imaging modalities in management, and review specific imaging modalities and protocols for image optimization.

Indexed as

Urogenital AbnormalitiesAdultChildDiagnostic ImagingFemaleHumansInfant, NewbornMagnetic Resonance ImagingMaleUrogenital SystemCongenital anomalyGenitourinary tractKidneysMagnetic resonance imagingMüllerian duct anomalyNeonatesUltrasound

Identifiers

PMID34741177
OpenAlexW3208224171

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.