scholarly journals Efficacy of pharmacotherapeutics for patients comorbid with alcohol use disorders and depressive symptoms—A bayesian network meta‐analysis

2020 ◽  
Vol 26 (11) ◽  
pp. 1185-1197
Author(s):  
Jiande Li ◽  
Hongxuan Wang ◽  
Mei Li ◽  
Qingyu Shen ◽  
Xiangpen Li ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Alcohol Use ◽  
Bayesian Network ◽  
Meta Analysis ◽  
Alcohol Use Disorders

Effect of alcohol use disorders and alcohol intake on the risk of subsequent depressive symptoms: a systematic review and meta‐analysis of cohort studies

Addiction ◽  
2020 ◽  
Vol 115 (7) ◽  
pp. 1224-1243 ◽  
Author(s):  
Jiande Li ◽  
Hongxuan Wang ◽  
Mei Li ◽  
Qingyu Shen ◽  
Xiangpen Li ◽  
...  
Keyword(s):  
Systematic Review ◽  
Depressive Symptoms ◽  
Alcohol Use ◽  
Cohort Studies ◽  
Alcohol Intake ◽  
Meta Analysis ◽  
Alcohol Use Disorders

Prevalence of alcohol use disorders in schizophrenia - a systematic review and meta-analysis

2009 ◽  
Vol 120 (2) ◽  
pp. 85-96 ◽  
Author(s):  
J. Koskinen ◽  
J. Löhönen ◽  
H. Koponen ◽  
M. Isohanni ◽  
J. Miettunen
Keyword(s):  
Systematic Review ◽  
Alcohol Use ◽  
Meta Analysis ◽  
Alcohol Use Disorders

Treatment rates for alcohol use disorders: a systematic review and meta‐analysis

Addiction ◽  
2020 ◽  
Author(s):  
Tesfa Mekonen ◽  
Gary C. K. Chan ◽  
Jason Connor ◽  
Wayne Hall ◽  
Leanne Hides ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alcohol Use ◽  
Meta Analysis ◽  
Alcohol Use Disorders

Externalizing and internalizing symptoms in childhood and adolescence and the risk of alcohol use disorders in young adulthood: A meta-analysis of longitudinal studies

2019 ◽  
Vol 53 (10) ◽  
pp. 965-975 ◽  
Author(s):  
Ivete Meque ◽  
Berihun Assefa Dachew ◽  
Joemer C Maravilla ◽  
Caroline Salom ◽  
Rosa Alati
Keyword(s):  
Alcohol Use ◽  
Young Adulthood ◽  
Odds Ratio ◽  
Internalizing Symptoms ◽  
Meta Analysis ◽  
Alcohol Use Disorders ◽  
Childhood And Adolescence ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Externalizing And Internalizing Symptoms

Background: Evidence suggests that externalizing and internalizing symptoms are expressed early in life and are associated with problematic drinking in young adulthood. However, few studies have examined their role during childhood and adolescence in predicting alcohol problems later in life. Objectives: To examine the role of childhood and adolescent externalizing and internalizing symptoms in predicting alcohol use disorders in young adulthood. Methods: We searched five electronic databases (PubMed, Scopus, PsycINFO, Web of Sciences and Embase) for studies which diagnosed alcohol use disorders through either the International Classification of Diseases or American Psychiatric Association – Diagnostic and Statistical Manual of Mental Disorders criteria and followed up children or adolescents into the transition to young adulthood. We performed a meta-analysis and obtained pooled odds ratio estimates with 95% confidence intervals using random-effects models. Results: A total of 12 longitudinal studies met eligibility criteria and were included in the meta-analysis. All measured the outcome using Diagnostic and Statistical Manual of Mental Disorders criteria. The majority were of good quality and were conducted in the United States. A total of 19,407 participants (50% female) were included in this meta-analysis. Of these, n = 2337 (12%) had diagnoses of alcohol use disorders/alcohol dependence. Participant ages ranged from birth to 36 years. Internalizing symptoms increased the risk of young adult alcohol use disorders by 21% (odds ratio = 1.21; 95% confidence interval = [1.05, 1.39]), with no strong evidence of publication bias. Subgroup analysis suggested significantly lower heterogeneity than for externalizing studies. Externalizing symptoms increased the risk of alcohol use disorders by 62% (odds ratio = 1.62, 95% confidence interval = [1.39, 1.90]). We found some evidence of publication bias and significant heterogeneity in the studies. Conclusion: Our findings highlight the contribution of early behavioural problems to the development of alcohol use disorders in young adulthood and the need for timely scrutiny of and intervention on early behavioural problems.

Genetic polymorphisms and response to medications for alcohol use disorders: a systematic review and meta-analysis

2014 ◽  
Vol 15 (13) ◽  
pp. 1687-1700 ◽  
Author(s):  
Daniel E Jonas ◽  
Halle R Amick ◽  
Cynthia Feltner ◽  
Roberta Wines ◽  
Ellen Shanahan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alcohol Use ◽  
Genetic Polymorphisms ◽  
Meta Analysis ◽  
Alcohol Use Disorders

scholarly journals The Declining Efficacy of Naltrexone Pharmacotherapy for Alcohol Use Disorders Over Time: A Multivariate Meta-Analysis

2013 ◽  
Vol 37 (6) ◽  
pp. 1064-1068 ◽  
Author(s):  
A. C. Del Re ◽  
Natalya Maisel ◽  
Janet Blodgett ◽  
John Finney
Keyword(s):  
Alcohol Use ◽  
Meta Analysis ◽  
Alcohol Use Disorders ◽  
Over Time

Meta-Analysis of Binary Data Based upon Dichotomized Criteria

2007 ◽  
Vol 215 (2) ◽  
pp. 122-131 ◽  
Author(s):  
Heinz Holling ◽  
Dankmar Böhning ◽  
Walailuck Böhning
Keyword(s):  
Alcohol Use ◽  
Sensitivity And Specificity ◽  
Binary Data ◽  
Meta Analysis ◽  
Alcohol Use Disorders ◽  
Misclassification Error ◽  
Youden Index ◽  
Analysis Methodology ◽  
Potential Study ◽  
Identification Test

Abstract. This paper considers meta-analysis of binary data that use a dichotomized continuous score. Classification into two categories, e.g., qualified or not qualified, is often based upon a threshold or cut-off value. This threshold might vary between studies since intentionally different values are used. However, conventional meta-analysis methodology analyzing sensitivity and specificity separately might then be confounded by a potentially unknown variation of the cut-off value. In order to cope with varying thresholds, an overall estimate of the misclassification error is suggested instead, which is equivalent to the well-known Youden index. It is argued that this index is less prone to between-study variation of cut-off values. To adjust for potential study effects a Mantel-Haenszel estimator of the overall misclassification error is suggested. Arguments are illustrated using, as an example, the diagnosis of alcoholism using the Alcohol Use Disorders Identification Test (AUDIT).

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