Results 221 to 230 of about 168,660 (312)
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási +7 more
wiley +1 more source
INTERDISCIPLINARITY AND SPEECH-LANGUAGE PATHOLOGY AND AUDIOLOGY.
Hilton Justino da, Silva +1 more
openaire +1 more source
This multicenter retrospective cohort study compared mid‐term oncological outcomes between intracorporeal anastomosis (IA) and extracorporeal anastomosis (EA) in minimally invasive colectomy for colon cancer using propensity score–matched data from 2018 to 2022.
Takuya Takami +9 more
wiley +1 more source
MMBGR protocol - diagnostic accuracy of clinical examination in infants. [PDF]
Matos ALDS +4 more
europepmc +1 more source
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 +13 more
wiley +1 more source
"Doing the Best I Can": Qualitative Outcomes and Participant Feedback From a Combined Communication and Counselling Treatment for Primary Progressive Aphasia. [PDF]
Schaffer Mendez K +6 more
europepmc +1 more source
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar +5 more
wiley +1 more source
Retraction: Innovations and Challenges in the Development of COVID-19 Vaccines for a Safer Tomorrow. [PDF]
Kumar DS +5 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source

