Carbon footprint and cost reduction by endoscopic grading of gastric intestinal metaplasia using narrow‐band imaging

Background and Aim Gastric intestinal metaplasia (GIM) is a high‐risk factor for the development of gastric cancer. Narrow‐band imaging (NBI) enables endoscopic grading of GIM (EGGIM). In the era of climate change, gastrointestinal endoscopists are expected to reduce greenhouse gas emissions and med...

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Published inJournal of gastroenterology and hepatology Vol. 39; no. 5; pp. 942 - 948
Main Authors Cho, Jun‐Hyung, Jin, So‐Young, Park, Suyeon
Format Journal Article
LanguageEnglish
Published Australia Wiley Subscription Services, Inc 01.05.2024
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Summary:Background and Aim Gastric intestinal metaplasia (GIM) is a high‐risk factor for the development of gastric cancer. Narrow‐band imaging (NBI) enables endoscopic grading of GIM (EGGIM). In the era of climate change, gastrointestinal endoscopists are expected to reduce greenhouse gas emissions and medical waste. Based on the diagnostic performance of NBI endoscopy, this study measured the environmental impact and reduced cost of implementing EGGIM during gastroscopy. Methods Using NBI endoscopy in 242 patients, EGGIM classification and operative link on GIM (OLGIM) staging were prospectively performed in five different areas (lesser and greater curvatures of the corpus and antrum, and the incisura angularis). We estimated the environmental impact and cost reduction of the biopsy procedures and pathological processing if EGGIM were used instead of OLGIM. Results The diagnostic accuracy of NBI endoscopy for GIM was 93.0–97.1% depending on the gastric area. When a high EGGIM score ≥ 5 was the cut‐off value for predicting OLGIM stages III–IV, the area under the curve was 0.862, sensitivity was 81.9%, and specificity was 90.4%. The reduction in the carbon footprint by EGGIM was −0.4059 kg carbon dioxide equivalents per patient, equivalent to 1 mile driven by a gasoline‐powered car. The cost savings were calculated to be $47.36 per patient. Conclusions EGGIM is a reliable method for identifying high‐risk gastric cancer patients, thereby reducing the carbon footprint and medical costs in endoscopy practice.
Bibliography:This work was supported by the Soonchunhyang University Research Fund (grant number: 2023‐0043).
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ISSN:0815-9319
1440-1746
DOI:10.1111/jgh.16493