Evidence map›Paper›PMID 31280426›Full record

ReviewEmergency radiology2019

Imaging of non-traumatic urinary bladder emergencies.

Pankaj Nepal, Vijayanadh Ojili, Joshua M Sapire, Amol Katkar, Ameya Baxi, Arpit Nagar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Emergency radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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

6 authors.

Pankaj NepalDepartment of Radiology, St. Vincent's Medical Center, Bridgeport, CT, USA.
Vijayanadh OjiliDepartment of Radiology, University of Texas Health, San Antonio, TX, USA. ojili@uthscsa.edu.
Joshua M SapireDepartment of Radiology, St. Vincent's Medical Center, Bridgeport, CT, USA.
Amol KatkarDepartment of Radiology, Brooke Army Medical Center, Fort Sam Houston, TX, USA.
Ameya BaxiDepartment of Radiology, University of Texas Health, San Antonio, TX, USA.
Arpit NagarDepartment of Radiology, Ohio State University Wexner Medical Center, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-traumatic urinary bladder emergencies are rare but critical diagnoses to make in an emergency setting. Acute urinary bladder pathologies require an accurate and timely diagnosis to ensure a favorable clinical outcome. Multidetector computed tomography (CT) is the imaging modality of choice for acute and emergent conditions affecting the urinary bladder. MRI is helpful as a problem-solving modality due to better soft tissue characterization and higher in-plane resolution. The purpose of this article is to illustrate the spectrum of urinary bladder emergencies, review the imaging findings, and briefly describe the role of imaging in the evaluation of such patients. Although there are a few cases of bladder emergencies been reported separately, the literature summarizing the spectrum is lacking. The objective of this article is to review the imaging of acute emergencies involving urinary bladder that will help us to think beyond non-specific conclusion in an emergency setting. For the sake of focused discussion, traumatic bladder emergencies will be excluded in this review. In the era of highly image reliant clinical practice, radiologists must be familiar with the diagnostic strategy to approach these entities.

Indexed as

EmergenciesMagnetic Resonance ImagingTomography, X-Ray ComputedEmergency Service, HospitalHumansUrinary BladderUrinary Bladder DiseasesEmergenciesNon-traumaticUrinary bladder

Identifiers

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.