Evidence map›Paper›PMID 36204360›Full record

ArticleCurrent urology2022

Role of multiparametric magnetic resonance imaging in the diagnosis and staging of urinary bladder cancer.

Essam A Shalaby, Ahmed R Mohamed, Tarek H Elkammash, Rasha T Abouelkheir, Ahmed M Housseini

Abstract read
In one paragraph

Article in Current urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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.

Essam A ShalabyDepartment of Urology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Ahmed R MohamedDepartment of Diagnostic Radiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Tarek H ElkammashDepartment of Diagnostic Radiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Rasha T AbouelkheirDiagnostic Radiology, Urology and Nephrology Center, Mansura University, Mansura, Egypt.
Ahmed M HousseiniDepartment of Diagnostic Radiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the role of multiparametric magnetic resonance imaging (mp-MRI) in the diagnosis and staging of urinary bladder cancer (BC). Materials and methods: Fifty patients diagnosed with bladder masses underwent mp-MRI study. The results of 3 image sets were analyzed and compared with the histopathological results as a reference standard: T2-weighted image (T2WI) plus dynamic contrast-enhanced (DCE), T2WI plus diffusion-weighted images (DWI), and mp-MRI, including T2WI plus DWI and DCE. The diagnostic accuracy of mp-MRI was evaluated using receiver operating characteristic curve analysis. Results: The accuracy of T2WI plus DCE for detecting muscle invasion of BC was 79.5% with a fair agreement with histopathological examination ( Conclusions: Multiparametric MRI is an acceptable method for the preoperative detection and accurate staging of BC, with reasonable accuracy in differentiating between low- and high-grade BC.

Indexed as

Apparent diffusion coefficientBladder cancerDiffusion-weighted imagingMultiparametric magnetic resonance imagingTransurethral resection of bladder tumor

Identifiers

PMID36204360
PMCPMC9527936

What OpenQuestion holds

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Registered trials

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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.