Evidence map›Paper›PMID 35935907›Full record

ArticleArab journal of urology2022

Diffusion of robot-assisted radical cystectomy: Nationwide trends, predictors, and association with continent urinary diversion.

Ahmed Elshabrawy, Hanzhang Wang, Furkan Dursun, Dharam Kaushik, Michael Liss, Robert S Svatek, Ahmed M Mansour

Open access · diamondAbstract read
In one paragraph

Article in Arab journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors at 2 institutions in 2 countries.

Ahmed ElshabrawyDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.ORCID https://orcid.org/0000-0002-9742-6715
Hanzhang WangDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.
Furkan DursunDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.
Dharam KaushikDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.
Michael LissDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.
Robert S SvatekDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.
Ahmed M MansourDepartment of Urology, University of Texas (UT) Health, San Antonio, TX, USA.
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the utilisation trends of robot-assisted radical cystectomy (RARC), rates of performing continent urinary diversions (CUDs), and impact of diffusion of RARC on CUD rates. Methods: We investigated the National Cancer Database for patients with muscle-invasive bladder cancer (MIBC) who underwent RC between 2004 and 2015. Patients were stratified by surgical technique into open (ORC) and RARC groups, and by type of urinary diversion into continent (CUD) and ileal conduit (ICUD) groups. Linear regression models were fitted to evaluate time trends for surgery and conversion techniques. Multivariate logistic regression models were utilised to identify independent predictors of RARC and CUD. Results: A total of 14466 patients underwent RC for MIBC, of which 4914 (34%) underwent RARC. There was a significant increase in adoption of RARC from 22% in 2010 to 40% in 2015 (R Conclusions: There is significant nationwide increasing trend of adoption of RARC. This diffusion was not associated with a decline in CUD, which remains significantly underutilised in both ORC and RARC groups.

Indexed as

Cystectomyroboticsurinary bladder neoplasmsurinary diversion

Identifiers

PMID35935907
PMCPMC9354633
OpenAlexW4213183507

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.