Literature DB >> 31823339

A Scoping Review of Medications Studied in Pediatric Polypharmacy Research.

Alexis E Horace1, Negar Golchin2, Elia M Pestana Knight3, Neal V Dawson4,5, Xuan Ma6, James A Feinstein7, Hannah K Johnson6, Lawrence Kleinman8, Paul M Bakaki6.   

Abstract

PURPOSE: The purpose of this study is to describe medications most commonly studied in pediatric polypharmacy research by pharmacologic classes and disease using a scoping review methodology.
METHODS: A search of electronic databases was conducted in July 2019 that included Ovid Medline, PubMed, Elsevier Embase, and EBSCO CINAHL. Primary observational studies were selected if they evaluated polypharmacy as an aim, outcome, predictor, or covariate in children 0-21 years of age. Studies not differentiating between adults and children or those not written in English were excluded. Study characteristics, pharmacologic categories, medication classes, and medications were extracted from the included studies.
RESULTS: The search identified 8790 titles and after de-duplicating and full-text screening, 414 studies were extracted for the primary data. Regarding global pharmacologic categories, central nervous system (CNS) agents were most studied (n = 185, 44.9%). The most reported pharmacologic category was the anticonvulsants (n = 250, 60.4%), with valproic acid (n = 129), carbamazepine (n = 123), phenobarbital (n = 87), and phenytoin (n = 83) being the medications most commonly studied. In studies that reported medication classes (n = 105), serotonin reuptake inhibitors (n = 32, 30.5%), CNS stimulants (n = 30, 28.6%), and mood stabilizers (n = 27, 25.7%) were the most studied medication classes.
CONCLUSION: While characterizing the literature on pediatric polypharmacy in terms of the types of medication studied, we further identified substantive gaps within this literature outside of epilepsy and psychiatric disorders. Medications frequently identified in use of polypharmacy for treatment of epilepsy and psychiatric disorders reveal opportunities for enhanced medication management in pediatric patients.

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Year:  2020        PMID: 31823339      PMCID: PMC6984990          DOI: 10.1007/s40272-019-00372-4

Source DB:  PubMed          Journal:  Paediatr Drugs        ISSN: 1174-5878            Impact factor:   3.022


  54 in total

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2.  Epidemiology and potential risk factors of drug-related problems in Hong Kong paediatric wards.

Authors:  Asia N Rashed; Lynda Wilton; Charles C H Lo; Benjamin Y S Kwong; Suzanne Leung; Ian C K Wong
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3.  Prevalence, Time Trends, and Utilization Patterns of Psychotropic Polypharmacy Among Pediatric Medicaid Beneficiaries, 1999-2010.

Authors:  Rene Soria Saucedo; Xinyue Liu; Juan Manuel Hincapie-Castillo; Daniel Zambrano; Regina Bussing; Almut G Winterstein
Journal:  Psychiatr Serv       Date:  2018-06-08       Impact factor: 3.084

Review 4.  Metabolic side effects of atypical antipsychotics in children: a literature review.

Authors:  Valérie J Fedorowicz; Eric Fombonne
Journal:  J Psychopharmacol       Date:  2005-09       Impact factor: 4.153

5.  Depressive illness burden associated with complex polypharmacy in patients with bipolar disorder: findings from the STEP-BD.

Authors:  Joseph F Goldberg; John O Brooks; Keiko Kurita; Jennifer C Hoblyn; S Nassir Ghaemi; Roy H Perlis; David J Miklowitz; Terence A Ketter; Gary S Sachs; Michael E Thase
Journal:  J Clin Psychiatry       Date:  2009-02-10       Impact factor: 4.384

6.  Paediatric antiepileptic polytherapy: systematic review of efficacy and neurobehavioural effects and a tertiary centre experience.

Authors:  D Plevin; J Jureidini; S Howell; N Smith
Journal:  Acta Paediatr       Date:  2018-03-30       Impact factor: 2.299

7.  Long-Term Metabolic Effects in French-Canadian Children and Adolescents Treated with Second-Generation Antipsychotics in Monotherapy or Polytherapy: A 24-Month Descriptive Retrospective Study.

Authors:  Drigissa Ilies; Anne-Sophie Huet; Eric Lacourse; Geneviève Roy; Emmanuel Stip; Leila Ben Amor
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8.  Trends in Off-Label Drug Use in Ambulatory Settings: 2006-2015.

Authors:  Divya Hoon; Matthew T Taylor; Pooja Kapadia; Tobias Gerhard; Brian L Strom; Daniel B Horton
Journal:  Pediatrics       Date:  2019-09-16       Impact factor: 7.124

9.  Level, pattern, and determinants of polypharmacy and inappropriate use of medications by village doctors in a rural area of Bangladesh.

Authors:  Rafia S Rasu; Mohammad Iqbal; Sma Hanifi; Ariful Moula; Shahidul Hoque; Sabrina Rasheed; Abbas Bhuiya
Journal:  Clinicoecon Outcomes Res       Date:  2014-12-03

Review 10.  A scoping review of scoping reviews: advancing the approach and enhancing the consistency.

Authors:  Mai T Pham; Andrijana Rajić; Judy D Greig; Jan M Sargeant; Andrew Papadopoulos; Scott A McEwen
Journal:  Res Synth Methods       Date:  2014-07-24       Impact factor: 5.273

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Journal:  Health Sci Rep       Date:  2021-03-10

2.  Effects of the number of drugs used on the prevalence of adverse drug reactions in children.

Authors:  Mayuko Sugioka; Tomoya Tachi; Takashi Mizui; Aisa Koyama; Azusa Murayama; Hayato Katsuno; Takuya Matsuyama; Satoshi Aoyama; Tomohiro Osawa; Yoshihiro Noguchi; Masahiro Yasuda; Chitoshi Goto; Hitomi Teramachi
Journal:  Sci Rep       Date:  2020-12-07       Impact factor: 4.379

3.  Fifteen-year trajectories of multimorbidity and polypharmacy in Dutch primary care-A longitudinal analysis of age and sex patterns.

Authors:  Rein Vos; Jos Boesten; Marjan van den Akker
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

4.  Prevalence of polypharmacy and associated adverse outcomes and risk factors among children with asthma in the USA: a cross-sectional study.

Authors:  Luyu Xie; Andrew Gelfand; Caitlin C Murphy; M Sunil Mathew; Folefac Atem; George L Delclos; Sarah Messiah
Journal:  BMJ Open       Date:  2022-10-13       Impact factor: 3.006

5.  Polygonogram with isobolographic synergy for three-drug combinations of phenobarbital with second-generation antiepileptic drugs in the tonic-clonic seizure model in mice.

Authors:  Jarogniew J Łuszczki; Dominika Podgórska; Justyna Kozińska; Marek Jankiewicz; Zbigniew Plewa; Mateusz Kominek; Dorota Żółkowska; Magdalena Florek-Łuszczki
Journal:  Pharmacol Rep       Date:  2020-10-06       Impact factor: 3.024

  5 in total

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