Results 141 to 150 of about 1,531,874 (315)
Our study aimed to establish the risk of selection bias in randomized controlled trials (RCT) that were overall rated as having "low bias" risk according to Cochrane's Risk of Bias, version 2 (RoB 2) tool. A systematic literature search of current systematic reviews of RCTs was conducted.
Mickenautsch, Steffen +1 more
openaire +2 more sources
A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis
ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai +5 more
wiley +1 more source
Advancing the Contribution of Occupational Epidemiology to Risk Assessment
The identification and quantification of risk factors that are characterized by low exposure levels, moderately increased risks, and unspecific exposure-disease relations is a major challenge facing risk assessment today.
Vlaanderen, J.J. +2 more
core
+, Low risk of bias; − high risk of bias; ?, unknown risk of bias. Risk of bias assessment for random sequence generation and allocation concealment is performed at the study level.
Suo-di Zhai (5249717) +4 more
core +1 more source
Background Risk of bias (RoB) assessment is a highly skilled task that is time‐consuming and subject to human error. RoB automation tools have previously used machine learning models built using relatively small task‐specific training sets.
Christopher James Rose +9 more
doaj +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Assessing the risk of discriminatory bias in classification datasets
Abstract Bias in machine learning models remains a critical challenge, particularly in datasets with numeric features where discrimination may be subtle and hard to detect. Existing fairness frameworks rely on expert knowledge of marginalized groups, such as specific racial groups, and categorical features defining them.
Kejun Dai +5 more
openaire +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
Objectives The aim of this study was to evaluate the risk of editorial bias in the field of Dentistry by examining surrogate measures which can be readily extracted from published randomized controlled trials (RCTs) in a journal of high impact factor ...
Momen A. Atieh, Nabeel H. M. Alsabeeha
doaj +1 more source
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane +43 more
wiley +1 more source

