The most favorable gastrointestinal (GI) bleeding safety profile among different types of direct oral anticoagulants (DOACs) remains controversial. This meta-analysis includes the latest studies and aims to compare GI bleeding risk associated with the use of various DOACs. PubMed, Cochrane library, and clinicaltrial.gov were searched. Randomized control trials (RCTs) evaluating the safety of DOACs were identified. The primary endpoint assessed was major GI bleeding. A total of 37 RCTs were included in the analyses. Based on the traditional meta-analysis, the major GI bleeding risk was different among various DOACs (interactive -value <.10). Network meta-analysis findings showed that no DOACs increased the risk of major GI bleeding compared with conventional therapy. Furthermore, a 10 mg daily administration of apixaban reduced the major GI bleeding risk more than daily doses of 60 mg edoxaban, ≥15 mg rivaroxaban, and 300 mg dabigatran etexilate. No difference was observed between daily doses of 300 mg dabigatran etexilate, 60 mg edoxaban, and ≥15 mg rivaroxaban. The major GI bleeding risk associated with 30 mg daily dose of edoxaban was lower than with 10 mg daily rivaroxaban, and no differences between daily 5 mg apixaban, 30 mg edoxaban, and 220 mg dabigatran etexilate were observed. Differences in the major GI bleeding risk were observed when various DOACs were compared. Among standard-dose DOACs, apixaban was associated with the lowest degree of major GI risk. Among low-dose DOACs, edoxaban was associated with a lower major GI bleeding risk than rivaroxaban.
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http://dx.doi.org/10.3389/fphar.2022.1049283 | DOI Listing |
J Clin Gastroenterol
February 2025
Swedish Medical Center, Seattle, WA.
Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.
View Article and Find Full Text PDFBMC Surg
January 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital & Institute, Beijing, China.
Background: Anastomotic leakage (AL) is a serious complication that may occur following the double stapling technique (DST). The study aims to investigate the efficacy of anastomotic reinforcement using barbed sutures in preventing AL after laparoscopic low anterior resection (LAR) for rectal cancer.
Methods: During the period from November 1, 2018 to November 1, 2023, a total of 725 consecutive patients who had underwent laparoscopic LAR for rectal cancer were enrolled in this study.
BMC Cancer
January 2025
Nanfang Hospital, Southern Medical University, Guangzhou, China.
Background: To detect the differences in physical symptoms between depressed and undepressed patients with breast cancer (BC), including common symptoms, co-occurring symptoms, and symptom clusters based on texts derived from social media and expressive writing.
Methods: A total of 1830 texts from social media and expressive writing were collected. The Chi-square test was used to compare the frequency of physical symptoms between depressed and undepressed patients with BC.
BMC Med Inform Decis Mak
January 2025
Department of Vascular and Wound Center, Jinshan Hospital, Fudan University, Shanghai, 201508, China.
Background: To construct a nomogram combining CT varices vein evaluation and clinical laboratory tests for predicting the risk of esophageal gastric variceal bleeding (EGVB) in patients with noncirrhotic portal hypertension (NCPH).
Methods: A total of 315 NCPH patients with non-EGVB and EGVB were retrospectively enrolled and randomly divided into training and testing cohorts. Thirteen collateral vessels were identified and evaluated after CT portal vein system reconstruction.
Medicina (Kaunas)
December 2024
Department of Obstetrics and Gynecology, Korea University College of Medicine, 73 Inchon-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
: The objective of this study was to assess the efficient use of advanced energy devices by examining the impact of their usage frequency on surgical outcomes of total laparoscopic hysterectomies. : A retrospective study was conducted between 2020 and 2023 by a single surgeon. The patients' medical records and surgical videos were reviewed.
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