Results 241 to 250 of about 4,222,943 (302)

Troponin T and Neurofilament Light Chain Levels as Complementary Biomarkers of Disease Accumulation and Aggressiveness in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a clinically heterogeneous neurodegenerative disease requiring reliable biomarkers to improve patient stratification and trial design. While serum neurofilament light chain (sNfL) reflects neuroaxonal stress and disease aggressiveness, troponin T (TnT) may capture complementary aspects of ...
Julia Sellin, Sofia Waldorf, Janina von der Gablentz, Torsten Grehl, Huelya Nazlican, Thomas Meyer, Julian Grosskreutz, Patrick Weydt, Sarah Bernsen   +8 more
wiley   +1 more source

Major Causes of Perinatal and Paediatric Mortality in Sub-Saharan Africa and South Asia: Adjustment for Selection Bias in the CHAMPS Network. [PDF]

Paediatr Perinat Epidemiol
Vyas KJ, Muir JA, Madewell ZJ, Gupta PM, Blau DM, Arifeen SE, Gurley ES, Chowdhury AI, Islam KM, Rahman A, Scott JAG, Assefa N, Madrid L, Asefa YA, Abdullahi YY, Onyango D, Akelo V, Tippett-Barr BA, Aol G, Sow SO, Kotloff KL, Tapia MD, Keita AM, Chawla K, Bassat Q, Mandomando I, Nhacolo A, Sacoor C, Ogbuanu I, Kowuor D, Duduyemi B, Moseray A, Squire JS, Madhi S, Mahtab S, Adam Y, Wise A, Machemedza T, Whitney CG, CHAMPS Network.   +39 more
europepmc   +1 more source

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Evaluating recruitment methods for selection bias: A large, experimental study of hand biomechanics. [PDF]

J Biomech
Diaz MT, Durai L, Kearney KM, Lindbeck EM, Tappan I, Harley JB, Nichols JA.   +6 more
europepmc   +1 more source

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato, Alessia Giugno, Miriam Sturniolo, Enrico Fratto, Pio Zoleo, Francesca Felicia Operto, Ilaria Sammarra, Antonio Gambardella   +7 more
wiley   +1 more source

Mathur and Shpitser respond to "The evolution of selection bias in the recent epidemiologic literature-a selective overview". [PDF]

Am J Epidemiol
Mathur MB, Shpitser I.
europepmc   +1 more source

Reply to Letter to the Editor: "Addressing Selection Bias and Risk Factors in COVID-19 and CAD Research: Critical Considerations". [PDF]

Anatol J Cardiol
Çetinkaya E, Taş A.
europepmc   +1 more source

Observational studies of early versus late salvage therapies in critical care exhibit intrinsic selection bias: two meta-analyses. [PDF]

Crit Care
Landzberg E, Ogdie A, Yarnell C, Harhay MO, Yehya N.   +4 more
europepmc   +1 more source

Use of genetic correlations to examine selection bias. [PDF]

Genet Epidemiol
Shapland CY, Gkatzionis A, Hemani G, Tilling K.   +3 more
europepmc   +1 more source