Evidence map›Paper›PMID 33100747›Full record

ArticleUrology annals

A comparative study of robot-assisted laparoscopic intracorporeal versus open urinary diversion.

Mahmoud I Khalil, Ehab Eltahawy, Jonathan Bauer-Erickson, Ahmed Farouk, Sherif Mourad, Rodney Davis, Mohamed H Kamel

Abstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Mahmoud I KhalilDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Ehab EltahawyDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Jonathan Bauer-EricksonDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Ahmed FaroukDepartment of Urology, Ain Shams University, Cairo, Egypt.
Sherif MouradDepartment of Urology, Ain Shams University, Cairo, Egypt.
Rodney DavisDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Mohamed H KamelDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsRobot-assisted laparoscopic intracorporeal urinary diversion (ICUD) has several potential benefits of a smaller incision and reduced pain over extracorporeal urinary diversion (ECUD). We compared the perioperative outcomes of patients who have undergone these procedures with or without cystectomy. SUBJECTS AND

methodsThis study is a retrospective chart review of patients who underwent ICUD and ECUD in a single tertiary referral hospital. Patient demographics, perioperative outcomes, and the 90-day postoperative complications were collected. STATISTICAL ANALYSIS USED: The statistical analyses were performed using the Chi-square test for categorical variables which are specified as frequency (percentage).

resultsThirty-five patients who underwent urinary diversion procedure were identified for inclusion in the study. Of these patients, 14 underwent ICUD and 21 underwent ECUD. The mean operative time was longer in the ICUD group compared to that of the ECUD (457.14 ± 103.91 and 388.29 ± 110.17, respectively,

conclusionsRobot-assisted ICUD is associated with decreased blood loss, and there is a trend toward fewer postoperative complications and shorter hospital stays.

Indexed as

Intracorporealopenrobot-assistedroboticurinary diversion

Identifiers

PMID33100747
PMCPMC7546067

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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.