Hip fractures are a global health problem with a high postoperative mortality rate.
Preoperative predictors for early mortality could be used to optimise and personalise …

Background Some researchers have used machine learning to predict mortality in old
patients with hip fracture, but its application value lacks an evidence-based basis. Hence …

Background Vitamin D deficiency is a common comorbidity in geriatric hip fracture patients.
However, there is still an ongoing debate regarding the influence of preoperative Vitamin D …

Purpose To investigate the utility of serum C-terminal cross-linking telopeptides (β-CTX) and
procollagen type IN propeptide (PINP) for predicting one-year mortality and walking ability in …

Background Knee osteoarthritis (OA) progresses in a heterogeneous way, as a majority of
the patients gradually worsen over decades while some undergo rapid progression and …

Background The aim of this study was to develop a conventional ultrasound (US) features-
based nomogram for the prediction of malignant nonmasslike (NML) breast lesions …

Objectives Prognostic models have the potential to aid clinical decision-making after hip
fracture. This systematic review aimed to identify, critically appraise, and summarize …

Background Several hip fracture clinical prediction models have been developed. We
conducted this study to (i) map outcomes used in clinical prediction models for hip …

Introduction Up to one-third of patients with fragility hip fractures are totally dependent in the
year following the injury which leads to later morbidity and mortality. Understanding the …

Purpose The present study aimed to investigate the influence of preoperative TTE on
postoperative short-term mortality, surgery delay, as well as other economic and clinical …