Results 171 to 180 of about 112,165 (302)
Is Gerontology Inclusive? [PDF]
openaire +2 more sources
Longitudinal associations of serum MCP-1 with cognitive decline and psychological stress in biomarker-confirmed Alzheimer's disease: A pilot study. [PDF]
Yasuno F +7 more
europepmc +1 more source
Abstract Purpose To evaluate the surgical methods, clinical outcomes, and complication profile of patients undergoing medial quadriceps tendon‐femoral ligament reconstruction (MQTFLR), either isolated or as medial patellofemoral complex reconstruction (MPFCR), for recurrent patellar instability.
Harjind Kahlon +6 more
wiley +1 more source
Effects of High-Protein Food Intake on Appendicular Skeletal Muscle Mass Index in Community-Dwelling Older Adults: A 3-Month Pre-Post Study. [PDF]
Motokawa K +4 more
europepmc +1 more source
Abstract The treatment of acetabular labral pathology has evolved from selective debridement toward preservation, repair, and reconstruction as the biomechanical importance of the labrum has become increasingly recognized. Despite encouraging clinical outcomes, current autograft and allograft reconstruction techniques remain inherently limited, largely
Philip J. Rosinsky
wiley +1 more source
Purpose To assess the prevalence of, and factors associated with, meniscal ramp lesions in patients with anterior cruciate ligament (ACL) tears. Methods All patients who underwent primary ACL reconstruction (ACLR) during 2018 were evaluated. Preoperative magnetic resonance imaging (MRI) scans and surgical reports were reviewed searching for the ...
Erik Lerjefors +4 more
wiley +1 more source
Transformation From Oxyntic Gland Neoplasm Into Advanced Gastric Cancer via <i>TP53</i> Mutation: A First Case Report. [PDF]
Komatsu A +8 more
europepmc +1 more source
Purpose To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to reverse statistical significance (e.g. henceforth termed the lost to follow‐up index (LTFI) and reverse LTFI (R‐LTFI), respectively) and apply machine learning to identify which trial parameters are most ...
Prushoth Vivekanantha +7 more
wiley +1 more source

