Evidence map›Paper›PMID 35924135›Full record

ReviewThe Indian journal of radiology & imaging2022

Imaging Tips and Tricks in Management of Renal and Urothelial Malignancies.

Shanti Ranjan Sanyal, Ankur Arora, Amin Nisreen, Khattab Mohamed, Saeed Kilani Mohammad, Deb Baruah

Abstract readReview
In one paragraph

Review in The Indian journal of radiology & imaging, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Shanti Ranjan SanyalDepartment of Radiology, Royal Preston Hospital, Preston, United Kingdom.
Ankur AroraDepartment of Radiology, Royal Liverpool and Broadgreen University Hospitals NHS Trusst, Liverpool, United Kingdom.
Amin NisreenDepartment of Radiology, Royal Preston Hospital, Preston, United Kingdom.
Khattab MohamedDepartment of Radiology, Royal Preston Hospital, Preston, United Kingdom.
Saeed Kilani MohammadDepartment of Radiology, Royal Preston Hospital, Preston, United Kingdom.
Deb BaruahDepartment of Radiology, Tezpur Medical College, Assam, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of urological malignancies has evolved significantly with continually changing guidelines and treatment options which demand more centralized involvement of radiology than ever before. Radiologists play a pivotal role in interpreting complex cancer scans and guiding clinical teams toward the best management options in the light of clinical profile. Management of complex uro-oncology cases is often discussed in multidisciplinary meetings which are essential checkpoints to evaluate an overall picture and formulate optimal treatment plans. The aim of this article is to provide a radiological perspective with practical guidance to fellow radiologists participating in uro-oncology multidisciplinary meetings based on commonly encountered case scenarios, updated guidelines, and cancer pathways. Crucial imaging tips with regards to renal and urinary tract cancers, upon which therapeutic decisions are made, have been condensed in this article after reviewing several complex cases from urology multidisciplinary meetings and European Association of Urology guidelines. Outline of various diagnostic and management strategies, key staging features, surveillance guidelines, and, above all, what the onco-urologists want to know from radiologists have been succinctly discussed in this article.

Indexed as

imaging tipsmanagementrenal massessurveillanceurinary tract

Identifiers

PMID35924135
PMCPMC9340167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.