Results 191 to 200 of about 208,599 (260)

Risk Factors for Anastomotic Stricture and Obstructive Symptoms Following Double‐Flap Technique Reconstruction After Proximal Gastrectomy

Annals of Gastroenterological Surgery, EarlyView.
This retrospective study investigated risk factors for anastomotic stricture and obstructive symptoms following double‐flap technique (DFT) reconstruction after proximal gastrectomy. Mucosal detachment, potentially caused by thermal damage, was identified as a significant risk factor for anastomotic stricture, while continuous suturing at the esophago ...
Shinji Kuroda, Yoshihiko Kakiuchi, Satoru Kikuchi, Hajime Kashima, Nobuhiko Kanaya, Shunya Hanzawa, Kenjiro Kumano, Masahiko Nishizaki, Shunsuke Kagawa, Toshiyoshi Fujiwara   +9 more
wiley   +1 more source

HRV features as potential biomarkers for auxiliary diagnosis in epilepsy. [PDF]

Sci Rep
Li Y, Li W, Liu Y, Chen Q, Guo X, Tan M, Yang R, Xu X, Qin H, Chen L.   +9 more
europepmc   +1 more source

Preoperative Aortic Calcification Volume Predicts Postoperative Complications in Nonpancreatic Cancer Patients Undergoing Pancreaticoduodenectomy

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background/Objectives Postoperative complications following pancreaticoduodenectomy (PD) remain high, particularly in patients with soft pancreatic texture. Abdominal aortic calcification volume (AACV), a surrogate marker of systemic arteriosclerosis, has been associated with increased surgical risk in lower gastrointestinal procedures ...
Masaki Horiuchi, Kentaro Miyake, Kota Sahara, Jun Yamamoto, Yutaro Kikuchi, Yasuhiro Yabushita, Yu Sawada, Yuki Homma, Ryusei Matsuyama, Itaru Endo   +9 more
wiley   +1 more source

Correlation Between CD38⁺ Cell Levels and Pulmonary Tuberculosis Complicated with Diabetes Mellitus: A Retrospective Analysis Based on Lymphocyte Subsets and Clinical Features. [PDF]

Diabetes Metab Syndr Obes
Wang Y, Mao W, Xu L, Xu W.
europepmc   +1 more source

Enhancing Surgical Efficiency and Cost‐Effectiveness With TaTME‐Combined Robot‐Assisted Surgery for Lower Rectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Robot‐assisted rectal surgery (RAS) offers improved dexterity and visualization; however, the high cost of equipment and consumables remains a major challenge for hospital management. At our institution, we have adopted a combined approach using transanal total mesorectal excision (TaTME) for lower rectal cancers, aiming to shorten ...
Takeru Matsuda, Hiroshi Hasegawa, Yasunori Otowa, Masayuki Ando, Tomoaki Aoki, Yasufumi Koterazawa, Naoki Urakawa, Hironobu Goto, Shingo Kanaji, Yoshihiro Kakeji   +9 more
wiley   +1 more source

Forecasting daily bathtub-drowning mortality in Japan: a comparative analysis of statistical, machine learning, and deep learning approaches. [PDF]

Front Public Health
Tai Y, Obayashi K, Yamagami Y, Saeki K.
europepmc   +1 more source

Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

Annals of Gastroenterological Surgery, EarlyView.
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu, Jintao Zheng, Ye Wang, Chenao Yang, Jiachen Zhang, Changku Jia   +5 more
wiley   +1 more source

Development and validation of nursing-oriented risk prediction models for anxiety and depression in hospitalized patients with chronic kidney disease: a retrospective cross-sectional study in Southwest China. [PDF]

Front Psychiatry
Xiao H, Xiao Y, Yin C, Yang X, Yu Z.
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source