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Early Identification of Alcohol Use Disorder Patients at Risk of Developing Korsakoff’s Syndrome
Alcoholism Clinical and Experimental Research
◽
10.1111/acer.14548
◽
2021
◽
Author(s):
Ludivine Ritz
◽
Alice Laniepce
◽
Nicolas Cabé
◽
Coralie Lannuzel
◽
Céline Boudehent
◽
...
Keyword(s):
At Risk
◽
Alcohol Use
◽
Early Identification
◽
Alcohol Use Disorder
◽
Korsakoff’S Syndrome
◽
Patients At Risk
◽
Korsakoff's Syndrome
Download Full-text
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Thalamus: a key player in alcohol use disorder and Korsakoff’s syndrome
Brain
◽
10.1093/brain/awz096
◽
2019
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Vol 142
(5)
◽
pp. 1170-1172
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Dissociating thalamic alterations in alcohol use disorder defines specificity of Korsakoff's syndrome
Brain
◽
10.1093/brain/awz056
◽
2019
◽
Vol 142
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◽
pp. 1458-1470
◽
Cited By ~ 10
Author(s):
Shailendra Segobin
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Alice Laniepce
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...
Keyword(s):
Alcohol Use
◽
Alcohol Use Disorder
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Korsakoff’S Syndrome
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Korsakoff's Syndrome
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FOC1-2THE POTENTIAL OF DIFFUSION TENSOR IMAGING TO IDENTIFY ALCOHOL DEPENDENT PATIENTS AT RISK OF DEVELOPING KORSAKOFF'S SYNDROME
Alcohol and Alcoholism
◽
10.1093/alcalc/agv079.02
◽
2015
◽
Vol 50
(suppl 1)
◽
pp. i35.4-i36
Author(s):
S. Segobin
◽
L. Ritz
◽
C. Lannuzel
◽
C. Boudehent
◽
F. Vabret
◽
...
Keyword(s):
At Risk
◽
Diffusion Tensor Imaging
◽
Diffusion Tensor
◽
Korsakoff’S Syndrome
◽
Patients At Risk
◽
Korsakoff's Syndrome
◽
Alcohol Dependent
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Faculty Opinions recommendation of Dissociating thalamic alterations in alcohol use disorder defines specificity of Korsakoff's syndrome.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.735340048.793571378
◽
2020
◽
Author(s):
Edith Sullivan
Keyword(s):
Alcohol Use
◽
Alcohol Use Disorder
◽
Korsakoff’S Syndrome
◽
Korsakoff's Syndrome
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Neuropsychological and Neuroimaging Examinations of Self‐Reported Sleep Quality in Alcohol Use Disorder With and Without Korsakoff's Syndrome
Alcoholism Clinical and Experimental Research
◽
10.1111/acer.13997
◽
2019
◽
Vol 43
(5)
◽
pp. 952-964
◽
Cited By ~ 3
Author(s):
Alice Laniepce
◽
Shailendra Segobin
◽
Coralie Lannuzel
◽
Céline Boudehent
◽
Ludivine Ritz
◽
...
Keyword(s):
Alcohol Use
◽
Sleep Quality
◽
Alcohol Use Disorder
◽
Korsakoff’S Syndrome
◽
Korsakoff's Syndrome
Download Full-text
Breaking the rule of nondirectiveness: the psychological impact of early identification of breast cancer patients at risk for hereditary breast cancer
PsycEXTRA Dataset
◽
10.1037/e536932011-073
◽
2002
◽
Author(s):
K. J. Schlich-Bakker
◽
F. J. M. Grosfeld
◽
H. F. J. Kroode
◽
C. C. Warlam-Rodenhuis
◽
M. G. E. M. Ausems
◽
...
Keyword(s):
Breast Cancer
◽
At Risk
◽
Cancer Patients
◽
Early Identification
◽
Hereditary Breast Cancer
◽
Psychological Impact
◽
Breast Cancer Patients
◽
Patients At Risk
Download Full-text
Early identification of patients at risk for symptomatic vasospasm after aneurysmal subarachnoid hemorrhage
Critical Care Medicine
◽
10.1097/00003246-200004000-00012
◽
2000
◽
Vol 28
(4)
◽
pp. 984-990
◽
Cited By ~ 95
Author(s):
Adnan I. Qureshi
◽
Gene Y. Sung
◽
Alexander Y. Razumovsky
◽
Karen Lane
◽
Robert N. Straw
◽
...
Keyword(s):
At Risk
◽
Subarachnoid Hemorrhage
◽
Early Identification
◽
Aneurysmal Subarachnoid Hemorrhage
◽
Symptomatic Vasospasm
◽
Patients At Risk
Download Full-text
Early Identification of Patients At-Risk for Incident Heart Failure with Preserved Ejection Fraction (HFpEF): Novel Approach to Echocardiographic Trends
Journal of Cardiac Failure
◽
10.1016/j.cardfail.2021.03.013
◽
2021
◽
Author(s):
Carolyn L. Lekavich
◽
Dennis Abraham
◽
Marat Fudim
◽
Cynthia Green
◽
Robert Mentz
◽
...
Keyword(s):
Heart Failure
◽
At Risk
◽
Ejection Fraction
◽
Early Identification
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Preserved Ejection Fraction
◽
Novel Approach
◽
Patients At Risk
◽
Incident Heart Failure
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis
Annals of Emergency Medicine
◽
10.1016/j.annemergmed.2018.11.036
◽
2019
◽
Vol 73
(4)
◽
pp. 334-344
◽
Cited By ~ 31
Author(s):
Ryan J. Delahanty
◽
JoAnn Alvarez
◽
Lisa M. Flynn
◽
Robert L. Sherwin
◽
Spencer S. Jones
Keyword(s):
Machine Learning
◽
At Risk
◽
Early Identification
◽
Learning Model
◽
Machine Learning Model
◽
Patients At Risk
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Early Identification of Patients at Risk of Developing a Persistent Back Problem: The Predictive Validity of The Örebro Musculoskeletal Pain Questionnaire
Clinical Journal of Pain
◽
10.1097/00002508-200303000-00002
◽
2003
◽
Vol 19
(2)
◽
pp. 80-86
◽
Cited By ~ 298
Author(s):
Steven J. Linton
◽
Katja Boersma
Keyword(s):
At Risk
◽
Musculoskeletal Pain
◽
Predictive Validity
◽
Early Identification
◽
Pain Questionnaire
◽
Patients At Risk
◽
Örebro Musculoskeletal Pain Questionnaire
◽
Back Problem
Download Full-text
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