Results 141 to 150 of about 322,290 (204)

Subjective social status across the past, present, and future: status trajectories of older adults. [PDF]

Eur J Ageing
Kuball T, Jahn G.
europepmc   +1 more source

Essential Updates 2024–2026: Advances in Colorectal Cancer Surgery

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Surgical innovation in colorectal cancer is increasingly judged not by technical feasibility alone, but by whether it improves oncological outcomes, preserves function, reduces morbidity, or makes difficult procedures more reproducible. This structured narrative review examines major surgical studies published from January 2024 through July ...
Hiroyasu Kagawa, Yusuke Kinugasa
wiley   +1 more source

One‐Year Changes in Frailty Components After Curative Minimally Invasive Surgery for Colorectal Cancer in Older Patients

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Frailty predicts outcomes after colorectal cancer surgery, but postoperative changes remain unclear. We previously reported improvement in FRAIL Scale‐based frail/pre‐frail status 1 year after curative minimally invasive surgery (MIS).
Hajime Ushigome, Takuya Suzuki, Shunsuke Hayakawa, Akira Kato, Yushi Yamakawa, Kenta Saito, Hiroyuki Sagawa, Ryo Ogawa, Hiroki Takahashi, Shuji Takiguchi   +9 more
wiley   +1 more source

The Geriatric Nutritional Risk Index Predicts Short‐ and Long‐Term Outcomes in the Oldest‐Old With Colorectal Cancer: A Multi‐Institutional Analysis of 225 Nonagenarians

Annals of Gastroenterological Surgery, EarlyView.
This multi‐institutional study evaluated the Geriatric Nutritional Risk Index (GNRI) in 225 nonagenarians undergoing surgical resection for colorectal cancer. A lower preoperative GNRI was independently associated with a longer hospital stay and poorer overall survival, even after adjustment for confounders using inverse‐probability‐of‐treatment ...
Toshiaki Toshima, Fuminori Teraishi, Satoe Takanaga, Toshiharu Mitsuhashi, Ryo Inada, Tsuyoshi Ohtani, Ryosuke Yoshida, Naoto Hori, Kaoru Shigemitsu, Sumiharu Yamamoto, Tetsushi Kubota, Yuka Okano, Tetsuji Nobuhisa, Fumitaka Taniguchi, Wataru Ishikawa, Ryohei Shoji, Tatsuo Matsuda, Tatsuo Umeoka, Toshiyoshi Fujiwara, The Setouchi Colorectal Neoplasm Registration Study Group Collaborators   +19 more
wiley   +1 more source

Subjective social status and socio-demographic correlates of perceived discrimination among older adults in India. [PDF]

BMC Geriatr
Sekher TV, Pai M, Muhammad T.
europepmc   +1 more source

Exploring Symptom Domains of Postoperative Bowel Dysfunction by Integrating LARS and Wexner Scores: A Longitudinal Factor‐Analytic Study

Annals of Gastroenterological Surgery, EarlyView.
Item‐level factor analysis of the LARS and Wexner scores in 320 patients undergoing sphincter‐preserving rectal resection identified three distinct symptom domains: incontinence, urgency/clustering, and gas control. These domains had different clinical determinants: radiotherapy was associated with greater severity of both incontinence and urgency ...
Yoshiko Matsumoto, Issei Takeshita, Keiichi Shiokawa, Kurumi Sahara, Taro Munechika, Ken Nagata, Hideki Nagano, Hiroyuki Takahashi, Suguru Hasegawa   +8 more
wiley   +1 more source

The mediating role of job fairness and job burnout between subjective social status and depressive symptoms in Chinese migrant workers: a generational difference analysis. [PDF]

BMC Public Health
Deng Y, Huang J, Fang J, Wu S, Zheng Y, Chen L.   +5 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source