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Prediction models for recurrence in patients with small bowel bleeding
Obscure gastrointestinal bleeding (OGIB) has traditionally been defined as gastrointestinal bleeding whose source remains unidentified after bidirectional endoscopy. OGIB can present as overt bleeding or occult bleeding, and small bowel lesions are the most common causes. The small bowel can be eval...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303624/ https://www.ncbi.nlm.nih.gov/pubmed/37388787 http://dx.doi.org/10.12998/wjcc.v11.i17.3949 |
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author | Kim, Ji Hyun Nam, Seung-Joo |
author_facet | Kim, Ji Hyun Nam, Seung-Joo |
author_sort | Kim, Ji Hyun |
collection | PubMed |
description | Obscure gastrointestinal bleeding (OGIB) has traditionally been defined as gastrointestinal bleeding whose source remains unidentified after bidirectional endoscopy. OGIB can present as overt bleeding or occult bleeding, and small bowel lesions are the most common causes. The small bowel can be evaluated using capsule endoscopy, device-assisted enteroscopy, computed tomography enterography, or magnetic resonance enterography. Once the cause of small-bowel bleeding is identified and targeted therapeutic intervention is completed, the patient can be managed with routine visits. However, diagnostic tests may produce negative results, and some patients with small bowel bleeding, regardless of diagnostic findings, may experience rebleeding. Predicting those at risk of rebleeding can help clinicians form individualized surveillance plans. Several studies have identified different factors associated with rebleeding, and a limited number of studies have attempted to create prediction models for recurrence. This article describes prediction models developed so far for identifying patients with OGIB who are at greater risk of rebleeding. These models may aid clinicians in forming tailored patient management and surveillance. |
format | Online Article Text |
id | pubmed-10303624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-103036242023-06-29 Prediction models for recurrence in patients with small bowel bleeding Kim, Ji Hyun Nam, Seung-Joo World J Clin Cases Minireviews Obscure gastrointestinal bleeding (OGIB) has traditionally been defined as gastrointestinal bleeding whose source remains unidentified after bidirectional endoscopy. OGIB can present as overt bleeding or occult bleeding, and small bowel lesions are the most common causes. The small bowel can be evaluated using capsule endoscopy, device-assisted enteroscopy, computed tomography enterography, or magnetic resonance enterography. Once the cause of small-bowel bleeding is identified and targeted therapeutic intervention is completed, the patient can be managed with routine visits. However, diagnostic tests may produce negative results, and some patients with small bowel bleeding, regardless of diagnostic findings, may experience rebleeding. Predicting those at risk of rebleeding can help clinicians form individualized surveillance plans. Several studies have identified different factors associated with rebleeding, and a limited number of studies have attempted to create prediction models for recurrence. This article describes prediction models developed so far for identifying patients with OGIB who are at greater risk of rebleeding. These models may aid clinicians in forming tailored patient management and surveillance. Baishideng Publishing Group Inc 2023-06-16 2023-06-16 /pmc/articles/PMC10303624/ /pubmed/37388787 http://dx.doi.org/10.12998/wjcc.v11.i17.3949 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Minireviews Kim, Ji Hyun Nam, Seung-Joo Prediction models for recurrence in patients with small bowel bleeding |
title | Prediction models for recurrence in patients with small bowel bleeding |
title_full | Prediction models for recurrence in patients with small bowel bleeding |
title_fullStr | Prediction models for recurrence in patients with small bowel bleeding |
title_full_unstemmed | Prediction models for recurrence in patients with small bowel bleeding |
title_short | Prediction models for recurrence in patients with small bowel bleeding |
title_sort | prediction models for recurrence in patients with small bowel bleeding |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303624/ https://www.ncbi.nlm.nih.gov/pubmed/37388787 http://dx.doi.org/10.12998/wjcc.v11.i17.3949 |
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