Evidence map›Paper›PMID 25254137›Full record

ArticleCase reports in urology2014

Robot-assisted excision of a pararectal gastrointestinal stromal tumor in a patient with previous ileal neobladder.

A Ploumidis, A Mottrie, A F Spinoit, M Gan, V Ficarra, R Andrianne

Abstract read
In one paragraph

Article in Case reports in urology, 2014. 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. 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

6 authors.

A PloumidisDepartment of Urology, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300 Aalst, Belgium.
A MottrieDepartment of Urology, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300 Aalst, Belgium.
A F SpinoitDepartment of Urology, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300 Aalst, Belgium ; Department of Urology, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
M GanDepartment of Urology, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300 Aalst, Belgium.
V FicarraDepartment of Urology, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300 Aalst, Belgium ; Department of Urology, University of Padova, Via Giustiniani, 2, 35100 Padova, Italy.
R AndrianneDepartment of Urology, CHU Liege, Domaine Universitaire du Sart Tilman, 4000 Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal stromal tumors (GISTs) are the most frequent mesenchymal tumors of the gastrointestinal tract with surgical resection remaining the cornerstone of therapy. Pararectal lesions are considered to be technically difficult and pose in some cases a challenge. We report, to the best of our knowledge, the first robotic-assisted pararectal GIST excision. A 43-year-old man was referred to our center with pararectal GIST recurrence, despite treatment with targeted therapy. Eleven years ago, he underwent extensive abdominal surgery including cystoprostatectomy with ileal neobladder diversion due to GIST resection in the rectoprostatic space. Robot-assisted surgical resection was successfully performed without the need for temporary colostomy. The postoperative course of the patient was uneventful, and the pathology report confirmed a GIST recurrence with negative surgical margins and pelvic lymph nodes free of any tumor. Robotic-assisted pelvic surgery can be extended to incorporate excision of pararectal GISTs, as a safe, less invasive surgical alternative with promising oncological results and minimal injury to adjacent structures.

Identifiers

PMID25254137
PMCPMC4165629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.