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Review
. 2024 Aug 16;16(8):451-461.
doi: 10.4253/wjge.v16.i8.451.

Unveiling hidden outcomes in malignant gastric outlet obstruction research - insights from a "Pancreas 2000" review

Filipe Vilas-Boas  1 , Giacomo Emanuele Maria Rizzo  2 , Charles De Ponthaud  3 , Stuart Robinson  4 , Sebastien Gaujoux  3 , Gabriele Capurso  5 , Giuseppe Vanella  6 , Bahadır Bozkırlı  7
Affiliations
Review

Unveiling hidden outcomes in malignant gastric outlet obstruction research - insights from a "Pancreas 2000" review

Filipe Vilas-Boas et al. World J Gastrointest Endosc. .

Abstract

Malignant gastric outlet obstruction (mGOO) is a major condition affecting patients with periampullary tumors, including pancreatic cancer. The current treatment options include surgical gastroenterostomy, endoscopic stenting and more recently EUS-guided gastroenterostomy. Most studies comparing the outcomes of the three procedures focus on technical success, clinical success and safety. Several "occult" outcomes relevant to the patient's viewpoints and perspective may ultimately impact on cancer-related and overall survival, such as body mass composition, nutritional biomarkers, chemotherapy tolerance and patient-reported quality of life. The aim of this review is to provide an overview of potential key outcomes that should be explored in future comparative research around mGOO treatment options.

Keywords: Body composition; Endoscopic ultrasound-guided gastroenterostomy; Malignant gastric outlet obstruction; Nutrition; Patient-reported outcomes; Quality of life.

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Conflict of interest statement

Conflict-of-interest statement: Authors declare no conflict of interests for this article.

Figures

Figure 1
Figure 1
Computerized tomography scan showing gastric outlet obstruction in a patient with pancreatic ductal adenocarcinoma.
Figure 2
Figure 2
Endoscopic ultrasound-guided gastroenterostomy with lumen-apposing metal stent, performed to bypass a duodenal obstruction from pancreatic cancer.
Figure 3
Figure 3
Assessment of skeletal muscle mass using a single transverse computed tomography image at the L3 level using NIH image J, a free, public domain software. The data output produced by the software is processed to calculate the skeletal muscle area which is then adjusted to the body height to find the skeletal muscle index[62,63], https://imagej.net/ij/.
See this image and copyright information in PMC

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