Results 71 to 80 of about 192,457 (154)
Introduction Tuberculosis (TB) remains the most common opportunistic infection and leading cause of death among individuals living with HIV/AIDS in Ethiopia. Its significant impact on morbidity and mortality underscores the crucial link between these two
Tsegaye H. Kumssa +3 more
doaj +1 more source
Background Current negativity definition in esophageal cancer screening overlooks the risk heterogeneity between individuals with non-dysplastic Lugol’s unstained lesions (ND-LULs) and normal-stained epithelium.
Mengfei Liu +19 more
doaj +1 more source
This multicenter, prospective, observational cohort study assessed opioid induced constipation (OIC) in Japanese patients with cancer. Eligible patients had stable cancer and an ECOG PS of 0‐2.
Akihiro Tokoro +8 more
doaj +1 more source
Introduction Methotrexate (MTX) is a chemotherapy agent and immune system suppressant that can cause liver fibrosis in long-term usage. This study aimed to investigate the relationship between the dose of MTX and the incidence of liver fibrosis in ...
Mina AkbariRad +7 more
doaj +1 more source
Objective: The aim of the present study was to assess the incidence, risk factors and outcomes of bacterial healthcare-associated infections (HAIs) in COVID-19 patients receiving respiratory support.
Matteo Augello +10 more
doaj +1 more source
Introduction Studies investigating the relationship between patterns of multimorbidity and risk of a new condition have typically defined the patterns at a baseline time and used Kaplan-Meier (KM) or Cox proportional hazards regression.
Gita Mishra +2 more
doaj +1 more source
ABSTRACT Misclassification between causes of death can produce bias in estimated cumulative incidence functions. When estimating causal quantities, such as comparing the cumulative incidence of death due to specific causes under interventions, such bias can lead to suboptimal decision making.
Jessie K. Edwards +5 more
openaire +2 more sources
stpm2cr: A flexible parametric competing risks model using a direct likelihood approach for the cause-specific cumulative incidence function. [PDF]
Mozumder SI, Rutherford MJ, Lambert PC.
europepmc +1 more source
Estimands and Cumulative Incidence Function Regression in Clinical Trials: Some New Results on Interpretability and Robustness. [PDF]
Bühler A, Cook RJ, Lawless JF.
europepmc +1 more source

