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Effect Of Serotonin Modulating Pharmacotherapies On Body Mass Index And Dysglycaemia Among Children And Adolescents: A Systematic Review And Network Meta-analysis Protocol

Reem A Al Khalifah, Nicole E De Long, I. Florez, L. Mbuagbaw, K. Morrison
Published 2016 · Medicine

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Introduction Serotonin-modulating medications are commonly prescribed for mental health issues. Currently, there is limited consensus on weight gain and dysglycaemia development among children using these medications. The objective of this study is to review and synthesise all the available evidence on serotonin-modulating medications and their effects on body mass index (BMI), weight and glycaemic control. Methods and analysis We will conduct a systematic review of all randomised controlled trials evaluating the use of serotonin-modulating medications in the treatment of children 2–17 years with mental health conditions. The outcome measures are BMI, weight and dysglycaemia. We will perform literature searches through Ovid Medline, Ovid Embase, PsycINFO and grey literature resources. Two reviewers from the team will independently screen titles and abstracts, assess the eligibility of full-text trials, extract information from eligible trials and assess the risk of bias and quality of the evidence. Results of this review will be summarised narratively and quantitatively as appropriate. We will perform a multiple treatment comparison using network meta-analysis to estimate the pooled direct, indirect and network estimate for all serotonin-modulating medications on outcomes if adequate data are available. Ethics and dissemination Serotonin-modulating medications are widely prescribed for children with mental health diseases and are also used off-label. This network meta-analysis will be the first to assess serotonin modulating antidepressants and their effects on weight and glycaemic control. We anticipate that our results will help physicians and patients make more informed choices while considering the side effect profile. We will disseminate the results of the systematic review and network meta-analysis through peer-reviewed journals. PROSPERO registration number CRD42015024367.
This paper references
10.1136/bmj.g5630
A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis
M. Puhan (2014)
10.1001/jama.2012.40
Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.
C. Ogden (2012)
10.1007/s40272-013-0016-6
Weight Gain and Other Metabolic Adverse Effects Associated with Atypical Antipsychotic Treatment of Children and Adolescents: A Systematic Review and Meta-analysis
Noor B. Almandil (2013)
Elevated depression symptoms, antidepressant medicine use, and risk of developing diabetes during the diabetes prevention program. Diabetes Care 2008;31:420–6
RR Rubin (2008)
Cochrane handbook for systematic reviews of interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration
Jp Higgins (2011)
10.1542/peds.2009-2107C
Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents: Summary Report
S. Daniels (2011)
10.1089/cap.2008.055
Efficacy and safety of fluoxetine in preschool children with obsessive-compulsive disorder.
M. Coskun (2009)
10.1097/CHI.0b013e31819996f1
National comorbidity survey replication adolescent supplement (NCS-A): I. Background and measures.
K. Merikangas (2009)
10.1016/S0013-7006(05)82399-1
PsychopharmacologieL’atomoxétine : un nouveau traitement du trouble déficitaire de l’attention/hyperactivité de l’enfant et de l’adolescentAtomoxetine : a new treatmentfor Attention Deficit/Hyperactivity Disorder (ADHD) in children and adolescents
D. Purper-Ouakil (2005)
10.1136/bmj.g7647
Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation
L. Shamseer (2015)
Principal Investigators; Centers for Disease Control and Prevention. Prevalence of autism spectrum disorders-Autism and Developmental Disabilities Monitoring Network, 14 sites
(2008)
10.1016/S0013-7006(05)82399-1
L’atomoxétine : un nouveau traitement du trouble déficitaire de l’attention/hyperactivité de l’enfant et de l’adolescent
D. Purper-Ouakil (2005)
10.1016/s0013-7006(05)82399-1
[Atomoxetine: a new treatment for Attention Deficit/Hyperactivity Disorder (ADHD) in children and adolescents].
D. Purper-Ouakil (2005)
Elevated depression symptoms , antidepressant medicine use , and risk of developing diabetes during the diabetes prevention program
JM Yoon (2008)
10.1016/j.zefq.2012.10.019
[GRADE guidelines: 8. Rating the quality of evidence - indirectness].
A. Rasch (2012)
10.3945/ajcn.2010.29786
Global prevalence and trends of overweight and obesity among preschool children.
M. de Onís (2010)
10.1177/070674371405900204
Long-Term Trend in Pediatric Antidepressant Use, 1983–2007: A Population-Based Study
X. Meng (2014)
10.1503/cmaj.140064
Time trends in symptoms of mental illness in children and adolescents in Canada
S. E. McMartin (2014)
Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents; National Heart, Lung, and Blood Institute
(2011)
10.1037/e531652012-001
Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents: Summary Report
Rae-Ellen W. Kavey (2011)
10.1007/s00125-011-2268-4
Use of antidepressant medication and risk of type 2 diabetes: results from three cohorts of US adults
A. Pan (2011)
10.1006/PMED.1993.1014
Do obese children become obese adults? A review of the literature.
M. Serdula (1993)
10.1016/j.pcl.2015.04.001
Childhood Obesity: Causes, Consequences, and Management.
Muskaan Gurnani (2015)
10.1176/AJP.2007.164.6.942
The worldwide prevalence of ADHD: a systematic review and metaregression analysis.
G. Polanczyk (2007)
Elevated Depression Symptoms, Antidepressant Medicine Use, and Risk of Developing Diabetes During the Diabetes Prevention Program
Richard R. Rubin (2008)
10.1016/j.fertnstert.2013.04.001
Prevalence of polycystic ovary syndrome in adolescents.
Shawna Christensen (2013)
A GRADEWorking Group approach for rating the quality of treatment effect estimates from network meta-analysis
MA Puhan (2014)
10.1007/s10803-014-2336-y
Changes in Prevalence of Autism Spectrum Disorders in 2001–2011: Findings from the Stockholm Youth Cohort
Selma Idring (2015)
10.1016/j.cmet.2015.04.008
Central serotonergic neurons activate and recruit thermogenic brown and beige fat and regulate glucose and lipid homeostasis.
Jacob McGlashon (2015)
10.2471/BLT.07.043497
Development of a WHO growth reference for school-aged children and adolescents.
M. de Onís (2007)
10.4082/kjfm.2013.34.4.228
Antidepressant Use and Diabetes Mellitus Risk: A Meta-Analysis
J. Yoon (2013)
10.1542/PEDS.2009-2107C
Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report.
Adolescents (2011)
Abortion surveillance--United States, 2009.
K. Pazol (2012)
10.1016/j.jclinepi.2011.01.011
GRADE guidelines: 5. Rating the quality of evidence--publication bias.
G. Guyatt (2011)
Prevalence of autism spectrum disorders--autism and developmental disabilities monitoring network, 14 sites, United States, 2002.
Jon Baio (2007)
10.1176/ps.2010.61.2.123
Evidence-based use of second-generation antipsychotics in a state Medicaid pediatric population, 2001-2005.
P. Pathak (2010)
10.1136/bmj.f2914
Demystifying trial networks and network meta-analysis
E. Mills (2013)
10.1111/jcpp.12371
Annual research review: Optimal outcomes of child and adolescent mental illness.
E. Costello (2015)
10.1016/j.jclinepi.2010.07.017
GRADE guidelines: 4. Rating the quality of evidence--study limitations (risk of bias).
G. Guyatt (2011)
10.1002/pds.3649
Trends in antidepressant prescriptions for children and adolescents in Germany from 2005 to 2012
F. Hoffmann (2014)
10.7326/M14-2385
The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions: Checklist and Explanations
B. Hutton (2015)
10.1007/s00787-013-0395-9
Antidepressant drug use and off-label prescribing in children and adolescents in Germany: results from a large population-based cohort study
M. Dörks (2013)
10.1097/00004583-200310000-00011
The British Child and Adolescent Mental Health Survey 1999: the prevalence of DSM-IV disorders.
T. Ford (2003)
10.2105/AJPH.2014.302258
Psychotropic drug use among preschool children in the Medicaid program from 36 states.
L. Garfield (2015)
Identifying and addressing inconsistency in network meta-analysis. Paper presented at: Cochrane comparing multiple interventions methods group
J. Higgins (2013)
10.1111/j.1440-1754.2008.01331.x
The prevalence of autism in Australia. Can it be established from existing data?
K. Williams (2008)
Identifying and addressing inconsistency in network meta-analysis. Paper presented at: Cochrane comparing multiple interventions methods group Oxford training event
J Higgins (2013)
10.1097/01.CHI.0000120021.14101.CA
Prevalence of child and adolescent psychiatric disorders in southeast Brazil.
B. Fleitlich-Bilyk (2004)
10.1016/j.zefq.2012.10.018
[GRADE guidelines: 7. Rating the quality of evidence - inconsistency].
M. Perleth (2012)
Antidepressant use and body mass index change in overweight adolescents: a historical cohort study.
Richard G. Cockerill (2014)
Search Filters for MEDLINE in Ovid Syntax and the PubMed translation. Secondary Search Filters for MEDLINE in Ovid Syntax and the PubMed translation
10.1097/CHI.0b013e3181999705
National comorbidity survey replication adolescent supplement (NCS-A): II. Overview and design.
R. Kessler (2009)
10.1016/j.jclinepi.2010.03.016
Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.
G. Salanti (2011)
10.1097/YCO.0b013e32835a4206
Effects of antidepressants on glucose metabolism and diabetes mellitus type 2 in adults
M. Deuschle (2013)
10.1007/s00404-014-3217-5
Comparison of two oral contraceptive forms containing cyproterone acetate and drospirenone in the treatment of patients with polycystic ovary syndrome: a randomized clinical trial
K. Kahraman (2014)
10.1214/SS/1177011136
Inference from Iterative Simulation Using Multiple Sequences
A. Gelman (1992)
Health consequences of obesity in youth: childhood predictors of adult disease.
W. Dietz (1998)
Commentary on tool to assess risk of bias in cohort studies . Secondary Commentary on tool to assess risk o f bias in cohort studies
G Guyatt (2014)
Canadians' eating habits.
Didier Garriguet (2007)
10.1038/ijo.2009.211
Trends in the prevalence of childhood overweight and obesity in Australia between 1985 and 2008
T. Olds (2010)
10.1038/ncomms7794
Regulation of systemic energy homeostasis by serotonin in adipose tissues
Chang-Myung Oh (2015)
10.1002/sim.3767
Checking consistency in mixed treatment comparison meta-analysis.
S. Dias (2010)
10.3109/13651501.2011.640939
Outpatient treatment of children and adolescents with antidepressants in Croatia
V. B. Maršanić (2012)
Prevalence of obesity and trends in body mass index among US children and adolescents
C L Ogden (1999)
Identifying and addressing inconsistency in network meta-analysis
J. Higgins (2013)
World Health Organization. WHO Child Growth Standards. Geneva: World Health Organization
(2006)
10.1002/SIM.1201
Network meta-analysis for indirect treatment comparisons.
T. Lumley (2002)
Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008.
Jon Baio (2012)
10.1007/s00787-014-0523-1
Use of SSRIs among Danish children: a nationwide study
A. Pottegård (2014)
10.1002/jrsm.1037
Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool.
G. Salanti (2012)
Overweight and obesity in children and adolescents: results from the 2009 to 2011 Canadian Health Measures Survey.
K. C. Roberts (2012)
10.1097/MED.0b013e3283424b37
Metabolic effects of obesity causing disease in childhood
P. Abrams (2011)
10.1016/S0140-6736(08)60131-2
WHO child growth standards
M. Onís (2008)



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