Results 191 to 200 of about 676,655 (309)

To Evaluate Whether Pretreatment CA19‐9 and DUPAN‐2 Levels Can Serve as Predictive Markers to Guide the Choice Between NAT and Upfront Surgery in Pancreatic Cancer

Annals of Gastroenterological Surgery, EarlyView.
NAT‐GS was significantly more effective only in patients with one tumor marker above the reference range, comparing those who achieved 12‐month MRFS with those who did not. ABSTRACT Aim Pancreatic cancer (PC) remains one of the most lethal malignancies, with early recurrence severely affecting prognosis even after curative resection.
Hiromichi Kawaida, Wataru Izumo, Ryo Saito, Hidetake Amemiya, Suguru Maruyama, Katsutoshi Shoda, Kensuke Shiraishi, Shinji Furuya, Yoshihiko Kawaguchi, Daisuke Ichikawa   +9 more
wiley   +1 more source

Novel antidiabetic agents and the risk of respiratory diseases: a systematic review and meta-analysis of 27 randomized controlled trials. [PDF]

Front Med (Lausanne)
Yu Z, Gu B, Zhang J, Jin W, Wan H, Jin W.   +5 more
europepmc   +1 more source

Journal of Pulmonary Medicine and Respiratory Diseases

, 2018
openaire   +1 more source

Psoas Muscle Volume as a Predictor of Postoperative Complications in Patients Undergoing Emergency Surgery for Strangulated Small Bowel Obstruction: A Retrospective Single‐Center Study

Annals of Gastroenterological Surgery, EarlyView.
This retrospective study identified low preoperative psoas muscle volume, measured by computed tomography, as an independent predictor of postoperative complications in patients undergoing emergency surgery for strangulated small bowel obstruction. Low psoas muscle volume, particularly in older adults, was associated with cardiopulmonary and systemic ...
Takuya Shiraishi, Chika Katayama, Yuta Shibasaki, Chika Komine, Takuhisa Okada, Akihiko Sano, Makoto Sakai, Hiroomi Ogawa, Ken Shirabe, Hiroshi Saeki   +9 more
wiley   +1 more source

Beyond the First Impact Factor: Editorial Renewal and Direction in Thoracic Research and Practice. [PDF]

Thorac Res Pract
Akgün M, Ergan B.
europepmc   +1 more source

Nationwide Real‐World Modeling of Surgical Outcomes in Elderly Patients: Incorporating Geriatric‐Specific Risk Factors Into Prediction of Mortality and Morbidity

Annals of Gastroenterological Surgery, EarlyView.
A reliable and effective risk prediction model for mortality and morbidity in elderly patients undergoing gastroenterological surgeries was developed and validated. Geriatric‐specific risk factors, including the newly added variables in the NCD registry, along with age, were identified as significant contributors to the model. ABSTRACT Aim As the aging
Naoya Sato, Hiraku Kumamaru, Mitsukazu Gotoh, Yoshihiro Kakeji, Yuko Kitagawa, Yasuyuki Seto, Hiromi Rakugi, Masahiro Akishita, Kazue Nakajima, Arata Takahashi, Hiroaki Miyata, Shigeru Marubashi   +11 more
wiley   +1 more source

The Role of DLNO in the Functional Assessment of Patients with Idiopathic Pulmonary Fibrosis. [PDF]

Medicina (Kaunas)
Tondo P, Ora J, Natale MP, Scioscia G, Zerillo B, Di Maggio MS, Rogliani P, Lacedonia D.   +7 more
europepmc   +1 more source

A window on the lung: Molecular imaging as a tool to dissect pathophysiologic mechanisms of acute lung disease [PDF]

, 2019
Musch, Guido
core   +1 more source

Association of a Multimodal Perioperative Care Program With Postoperative Complications in Elderly Patients Undergoing Gastrectomy for Gastric Cancer

Annals of Gastroenterological Surgery, EarlyView.
Implementation of a multimodal perioperative care program and reduction of postoperative complications. ABSTRACT Purpose This retrospective study aimed to assess the clinical effectiveness of a multimodal perioperative care program in reducing postoperative complications in elderly patients undergoing gastrectomy for gastric cancer.
Keiichi Fujiya, Hiroshi Fuseya, Yusuke Yonenaga, Keiko Sanada, Toshimi Inano, Yumi Oguma, Kazuko Nakajima, Chikako Ando, Kumiko Oka, Yusuke Koseki, Kenichiro Furukawa, Yutaka Tanizawa, Masanori Terashima, Etsuro Bando   +13 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source