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a leading international journal from BMJ and BSG, publishes cutting-edge gastroenterology and hepatology research and reviews

Impact Factor: 23.059
Citescore: 35.6
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Gut is a Plan S compliant Transformative Journal.

Gut is a leading international journal in gastroenterology and hepatology and has an established reputation for publishing first class clinical research of the alimentary tract, the liver, biliary tree and pancreas. Gut delivers up-to-date, authoritative, clinically oriented coverage in all areas of gastroenterology and hepatology. Regular features include articles by leading authorities describing novel mechanisms of disease and new management strategies, both diagnostic and therapeutic, likely to impact on clinical practice within the foreseeable future.

Gut is an official journal of the British Society of Gastroenterology and has two companion titles: Frontline Gastroenterology for education and practice and BMJ Open Gastroenterology for sound science clinical research.

Editor-in-Chief: Professor Emad El-Omar, University of New South Wales, Sydney, Australia
Meet the Editor and Editorial Board

Read the most cited articles from Gut and BMJ Open Gastroenterology

Keep up-to-date with Gut on Twitter and Facebook, and access videos on our Head Workout Tank M channel.

The Gut blog is now live - read the latest posts from the team.

Gut publishes podcasts discussing highlights from its issues. Subscribe in all podcast platforms, including H by Halston Essentials Long Sleeve Crew Top, Google Podcasts, Pajama pants and Spotify.


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COVID-19 Gastroenterology Collection


Our new online collection highlights all research relating to the COVID-19 pandemic published by Gut, Frontline Gastroenterology and BMJ Open Gastroenterology. It is updated regularly as new articles are published.


The COVID-19 collection includes original research, commentaries, letters and editorials from all three journals published with the British Society of Gastroenterology (BSG)


Visit the full BMJ Coronavirus resource collection for all the latest content from across our portfolio


Latest Visual Abstract

Visual Abstracts provide summaries of the latest research in a single, visual format

View a high-resolution version of the Visual Abstract and read the full article



Featured Video

Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer

To cite: Sundar R, Barr Kumarakulasinghe N, Huak Chan Y, et al. Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer: results from the randomised phase III SAMIT trial. Gut. 2022;71:676-685.

Read the full article here: link
Objective: To date, there are no predictive biomarkers to guide selection of patients with gastric cancer (GC) who benefit from paclitaxel. Stomach cancer Adjuvant Multi-Institutional group Trial (SAMIT) was a 2×2 factorial randomised phase III study in which patients with GC were randomised to Pac-S-1 (paclitaxel +S-1), Pac-UFT (paclitaxel +UFT), S-1 alone or UFT alone after curative surgery.

Conclusions: Using machine-learning techniques on one of the largest GC trials (SAMIT), we identify a gene signature representing the first predictive biomarker for paclitaxel benefit.

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