Results 91 to 100 of about 743,467 (306)

Tuberculosis contact investigation in low prevalence countries: a European consensus

, 2010
Contact investigation to identify individuals with tuberculosis and latent infection with Mycobacterium tuberculosis is an important component of tuberculosis control in low tuberculosis incidence countries. This document provides evidence-based and best-
Bothamley, GH, J.-P. Zellweger, C. Lange, H. L. Rieder, Chemtob, D, Rieder, HL, Abubakar, I, Bothamley, G H, Erkens, C G M, Kamphorst, M, G. B. Migliori, Rieder, H L, Erkens, C. G. M., Rieder, H. L., I. Abubakar, G. H. Bothamley, Chemtob, D., Zellweger, J.-P., Migliori, G B, Lange, C., Bothamley, G. H., Haas, W, D. Chemtob, Zellweger, J-P, M. Kamphorst, Kamphorst, M., Haas, W., Migliori, G. B., Migliori, GB, W. Haas, Erkens, CGM, Abubakar, I., C. G. M. Erkens, Lange, C   +33 more
core   +1 more source

Relationship between preterm labor and the length of the cervical canal

Payesh, 2006
Objective (s): To determine the relationship between cervical length at 16 and 24 weeks of gestation and the occurrence of preterm labor. Methods: A prospective cohort study was performed on 153 pregnant women in two groups (75 and 78 person) after ...
Ghasemi A., Alimohammadian Sh., Davati A.   +2 more
doaj  

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Sensitivity, specificity, positive predictive value, and negative predictive value of self-reported BMI classifications.

Sensitivity, specificity, positive predictive value, and negative predictive value of self-reported BMI classifications.
Aseel Ehsanallah (18405180), Dalia Haroun (2512513)   +1 more
core   +1 more source

Sensitivity, specificity, positive predictive value and negative predictive value of ApneaLink^TM autoscore compared with polysomnography.

, 2018
Sensitivity, specificity, positive predictive value and negative predictive value of ApneaLinkTM autoscore compared with polysomnography.
Sabrina Maier (5318102), Jörg Daniel Leuppi (2635099), Michel Hug (5318105), Stig Solbach (5318108), Stefanie Brighenti-Zogg (2635087), David Miedinger (330274), Katrin Uehli (5318099), Selina Dürr (5318111)   +7 more
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Sensitivity, specificity, positive predictive value and negative predictive value of S₈ and S₂₄.

, 2018
Sensitivity, specificity, positive predictive value and negative predictive value of S8 and S24.
Paul Meyvisch (5537300), Koen Andries (346051), Chrispin Kambili (707561), Nacer Lounis (355090), Ariel Alonso (709471), Myriam Theeuwes (5537297), Brian Dannemann (5537303), Geert Molenberghs (43335), Wim Van der Elst (3824152), An Vandebosch (3741457)   +9 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio for predicting metabolic syndrome with the EZSCAN test.

, 2013
Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio for predicting metabolic syndrome with the EZSCAN test.
Yuhong Chen (120972), Jianmin Liu (285775), Meng Dai (276790), Mian Li (40724), Min Xu (15203), Yu Xu (52257), Kan Sun (113604), Yu Liu (6938), Zhi Yang (124104), Jieli Lu (276789), Guang Ning (122602), Yufang Bi (212653)   +11 more
core   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source