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1.
Eur J Clin Pharmacol ; 74(11): 1491, 2018 11.
Article in English | MEDLINE | ID: mdl-30218112

ABSTRACT

In the original version of this article unfortunately two tables have been missing. By mistake they have been published as Supplementary Material. We apologize for any inconvenience caused. The original article has been corrected.

2.
Eur J Clin Pharmacol ; 74(11): 1485-1489, 2018 Nov.
Article in English | MEDLINE | ID: mdl-30083876

ABSTRACT

OBJECTIVE: To present up-to-date information and recommendations on the management of body weight changes during the use of antiepileptic mood stabilizers in bipolar disorder to help clinicians and patients make well-informed, practical decisions. DATA SOURCES: Umbrella review. Systematic reviews and meta-analyses on the prevention, treatment, and monitoring of body weight changes as a side effect of the mood stabilizers valproate, lamotrigine, topiramate, and carbamazepine were identified in Embase (2010-2015, no language restrictions). STUDY SELECTION: The search yielded 18 relevant publications on antiepileptic mood stabilizers and weight changes in bipolar disorder. DATA EXTRACTION: Relevant scientific evidence was abstracted and put into a clinical perspective by a multidisciplinary expert panel of clinicians with expertise in the treatment of bipolar disorders across all age groups and a patient representative. RESULTS: Valproate has been proven to be associated with weight gain in up to 50% of its users, and can be detected 2-3 months after initiation. Carbamazepine has been proven to have a low risk of weight gain. Lamotrigine and topiramate are associated with weight loss. Other option for this sentence = Weigth gain has been proven to be associated with valproate use in up to 50% of its users, and can be detected within 2-3 months after initiation. CONCLUSION: Each antiepileptic mood stabilizer has specific effects on body weight and accordingly requires a discrete education, prevention, monitoring, and treatment strategy. Clinicians are recommended to adopt an active, anticipatory approach, educating patients about weight change as an important side effect in order to come to informed shared decisions about the most suitable mood stabilizer.


Subject(s)
Antimanic Agents/adverse effects , Bipolar Disorder/drug therapy , Body Weight/drug effects , Anticonvulsants/administration & dosage , Anticonvulsants/adverse effects , Antimanic Agents/administration & dosage , Humans , Weight Gain/drug effects , Weight Loss/drug effects
3.
J Child Psychol Psychiatry ; 45(3): 599-608, 2004 Mar.
Article in English | MEDLINE | ID: mdl-15055378

ABSTRACT

OBJECTIVE: To compare the predictive validity of the clinical-diagnostic and the empirical-quantitative approach to assessment of childhood psychopathology, and to investigate the usefulness of combining both approaches. METHOD: A referred sample (N = 96), aged 6 to 12 years at initial assessment, was followed up across--on average--a period of 3.2 years. It was assessed to what extent DISC/DSM-III-R diagnoses--representing the clinical-diagnostic approach, and CBCL scores--representing the empirical-quantitative approach, predicted the following signs of poor outcome: outpatient/inpatient treatment, or parents' wish for professional help for the child at follow-up, disciplinary problems in school, and police/judicial contacts. RESULTS: Both diagnostic systems added significantly to the prediction of poor outcome, and neither of the two systems was superior. Use of both systems simultaneously provided the most accurate estimation of the prognosis, reflected by the occurrence of future poor outcome. Even diagnostic concepts that are generally regarded as relatively similar, such as ADHD (DSM) and attention problems (CBCL), or conduct disorder (DSM) and delinquent behavior (CBCL), appeared to differ in their ability to predict poor outcome. CONCLUSIONS: The present study supports the use of the empirical-quantitative approach and the clinical-diagnostic approach simultaneously, both in research and in clinical settings, to obtain a comprehensive view of the prognosis of psychopathology in children.


Subject(s)
Attention Deficit Disorder with Hyperactivity/diagnosis , Attention Deficit Disorder with Hyperactivity/psychology , Diagnostic and Statistical Manual of Mental Disorders , Juvenile Delinquency/psychology , Adolescent , Attention Deficit Disorder with Hyperactivity/classification , Child , Child, Preschool , Female , Follow-Up Studies , Humans , Male , Predictive Value of Tests , Prospective Studies
4.
J Child Psychol Psychiatry ; 44(6): 867-76, 2003 Sep.
Article in English | MEDLINE | ID: mdl-12959495

ABSTRACT

BACKGROUND: The present study investigated the differential predictive value of parents', teachers', and clinicians' reports of psychopathology for poor outcome in children referred to a child psychiatric outpatient clinic. METHOD: A referred sample (N = 96), aged 6 to 12 years at initial assessment, was followed up after a mean interval of 3.2 years. Data on parent- and teacher-reported problem behavior (Child Behavior Checklist and Teacher's Report Form), and clinician-reported observations and self-reports during a semi-structured clinical interview (SCICA), were linked to outcome measures assessed with a parent questionnaire, including outpatient and inpatient treatment at Time 2, parent's wish for professional help for the child, school problems, and police/judicial contacts. RESULTS: Information from all three informants (clinicians, parents, and teachers) predicted measures of poor outcome after three years. Clinicians' ratings on the SCICA predicted all five outcome measures. Independent of CBCL and TRF scores, SCICA scores predicted parental wish for help and inpatient treatment. CONCLUSIONS: The present study was the first to report that clinician's ratings of self-reported and observed behaviors in a semi-structured interview (SCICA) make an important unique contribution to the multiaxial assessment of problem behaviors.


Subject(s)
Child Behavior Disorders/diagnosis , Faculty , Judgment , Parents/psychology , Child , Child Behavior Disorders/psychology , Female , Forecasting , Humans , Male , Prognosis , Psychology, Clinical , Psychometrics , Time Factors
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