Comparative physiological effects of antipsychotic drugs in children and young people: a network meta-analysis
Open accessAbstract
BACKGROUND: The degree of physiological responses to individual antipsychotic drugs is unclear in children and adolescents. With network meta-analysis, we aimed to investigate the effects of various antipsychotic medications on physiological variables in children and adolescents with neuropsychiatric and neurodevelopmental conditions. METHODS: For this network meta-analysis, we searched Medline, EMBASE, PsycINFO, Web of Science, and Scopus from database inception until Dec 22, 2023, and included randomised controlled trials comparing antipsychotics with placebo in children or adolescents younger than 18 years with any neuropsychiatric and neurodevelopmental condition. Primary outcomes were mean change from baseline to end of acute treatment in bodyweight, BMI, fasting glucose, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, prolactin, heart rate, systolic blood pressure (SBP), and QT interval corrected for heart rate (QTc) for patients receiving either active treatment or placebo. For multigroup trials reporting several doses, we calculated a summary value for each physiological variable for all doses. After transitivity assessment, we fitted frequentist random-effects network meta-analyses for all comparisons in the network. A Kilim plot was used to summarise the results for all treatments and outcomes, providing information regarding the strength of the statistical evidence of treatment effects, using p values. Network heterogeneity was assessed with τ, risk of bias of individual trials was assessed with the Cochrane Collaboration's Tool for Assessing Risk of Bias, and the credibility of findings from each network meta-analysis was assessed with the Confidence in Network Meta-Analysis (CINEMA) app. This study is registered on PROSPERO (CRD42021274393). FINDINGS: (0·51 to 3·55) with quetiapine; total cholesterol -0·04 mmol/L (-0·39 to 0·31) with blonanserin to 0·35 mmol/L (0·17 to 0·53) with quetiapine; LDL cholesterol -0·12 mmol/L (-0·31 to 0·07) with risperidone or paliperidone to 0·17 mmol/L (-0·06 to 0·40) with olanzapine; HDL cholesterol 0·05 mmol/L (-0·19 to 0·30) with quetiapine to 0·48 mmol/L (0·18 to 0·78) with risperidone or paliperidone; triglycerides -0·03 mmol/L (-0·12 to 0·06) with lurasidone to 0·29 mmol/L (0·14 to 0·44) with olanzapine; fasting glucose from -0·09 mmol/L (-1·45 to 1·28) with blonanserin to 0·74 mmol/L (0·04 to 1·43) with quetiapine; prolactin from -2·83 ng/mL (-8·42 to 2·75) with aripiprazole to 26·40 ng/mL (21·13 to 31·67) with risperidone or paliperidone; heart rate from -0·20 bpm (-8·11 to 7·71) with ziprasidone to 12·42 bpm (3·83 to 21·01) with quetiapine; SBP from -3·40 mm Hg (-6·25 to -0·55) with ziprasidone to 10·04 mm Hg (5·56 to 14·51) with quetiapine; QTc from -0·61 ms (-1·47 to 0·26) with pimozide to 0·30 ms (-0·05 to 0·65) with ziprasidone. INTERPRETATION: Children and adolescents show varied but clinically significant physiological responses to individual antipsychotic drugs. Treatment guidelines for children and adolescents with a range of neuropsychiatric and neurodevelopmental conditions should be updated to reflect each antipsychotic drug's distinct profile for associated metabolic changes, alterations in prolactin, and haemodynamic alterations. FUNDING: UK Academy of Medical Sciences, Brain and Behaviour Research Foundation, UK National Institute of Health Research, Maudsley Charity, the Wellcome Trust, Medical Research Council, National Institute of Health and Care Research Biomedical Centre at King's College London and South London and Maudsley NHS Foundation Trust, the Italian Ministry of University and Research, the Italian National Recovery and Resilience Plan, and Swiss National Science Foundation.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Antipsychotic medications can lead to serious physiological effects such as changes in bodyweight, body mass index, triglycerides, cholesterol, prolactin and heart rate.
“they can lead to serious physiological effects such as changes in bodyweight, body mass index, triglycerides, cholesterol, prolactin and heart rate [135]”
From Pharmacological treatment in autism: a proposal for guidelines on common co-occurring psychiatric symptoms (2025) · cites this paper as [135]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Interpretation of random effects meta-analyses
Riley, R. D., Higgins, J. P. T., & Deeks, J. J. (2011) · BMJ · doi:10.1136/bmj.d549 · Cited by 2,884 · see citing works
CINeMA: an approach for assessing confidence in the results of a network meta-analysis
Nikolakopoulou, A., Higgins, J. P. T., Papakonstantinou, T., Chaimani, A., Del Giovane, C., Egger, M., & Salanti, G. (2020) · PLOS Medicine · doi:10.1371/journal.pmed.1003082 · Cited by 1,935 · see citing works
Huhn, M., Nikolakopoulou, A., Schneider-Thoma, J., Krause, M., Samara, M., Peter, N., Arndt, T., Bäckers, L., Rothe, P., Cipriani, A., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31135-3 · Cited by 1,753 · see citing works
Self-citationRanking treatments in frequentist network meta-analysis works without resampling methods
Rücker, G., & Schwarzer, G. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0060-8 · Cited by 1,732 · see citing works
Childhood Body-Mass Index and the Risk of Coronary Heart Disease in Adulthood
Baker, J. L., Olsen, L. W., & Sørensen, T. I. A. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072515 · Cited by 1,679 · see citing works
Pillinger, T., McCutcheon, R. A., Vano, L., Mizuno, Y., Arumuham, A., Hindley, G., Beck, K., Natesan, S., Efthimiou, O., Cipriani, A., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30416-x · Cited by 1,090 · see citing works
<b>netmeta</b> : An <i>R</i> Package for Network Meta-Analysis Using Frequentist Methods
Balduzzi, S., Rücker, G., Nikolakopoulou, A., Papakonstantinou, T., Salanti, G., Efthimiou, O., & Schwarzer, G. (2023) · Journal of Statistical Software · doi:10.18637/jss.v106.i02 · Cited by 532 · see citing works
Self-citationGetReal in network meta-analysis: a review of the methodology
Efthimiou, O., Debray, T. P. A., van Valkenhoef, G., Trelle, S., Panayidou, K., Moons, K. G. M., Reitsma, J. B., Shang, A., Salanti, G., & on behalf of GetReal Methods Review Group (2016) · Research Synthesis Methods · doi:10.1002/jrsm.1195 · Cited by 401 · see citing works
Self-citationSolmi, M., Fornaro, M., Ostinelli, E. G., Zangani, C., Croatto, G., Monaco, F., Krinitski, D., Fusar‐Poli, P., & Correll, C. U. (2020) · World Psychiatry · doi:10.1002/wps.20765 · Cited by 324 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 28
- [1]Piovani D Clavenna A Bonati M Prescription prevalence of psychotropic drugs in children and adolescents: an analysis of international data Eur J Clin Pharmacol 75 2019 1333 1346 31270564
- [2]Radojcic MR Pierce M Hope H Trends in antipsychotic prescribing to children and adolescents in England: cohort study using 2000–19 primary care data Lancet Psychiatry 10 2023 119 128 36638816
- [3]Correll CU Manu P Olshanskiy V Napolitano B Kane JM Malhotra AK Cardiometabolic risk of second-generation antipsychotic medications during first-time use in children and adolescents JAMA 302 2009 1765 1773 19861668 PMC3055794
- [4]Jensen KG Correll CU Rudå D Cardiometabolic adverse effects and its predictors in children and adolescents with first-episode psychosis during treatment with quetiapine-extended release versus aripiprazole: 12-week results from the Tolerance and Effect of Antipsychotics in Children and Adolescents with Psychosis (TEA) Trial J Am Acad Child Adolesc Psychiatry 58 2019 1062 1078 30858012
- [5]Koskinen J Magnussen CG Sinaiko A Childhood age and associations between childhood metabolic syndrome and adult risk for metabolic syndrome, type 2 diabetes mellitus and carotid intima media thickness: the International Childhood Cardiovascular Cohort Consortium J Am Heart Assoc 6 2017 e005632 PMC5586423 28862940
- [6]Milano W D'Acunto CW De Rosa M Recent clinical aspects of hyperprolactinemia induced by antipsychotics Rev Recent Clin Trials 6 2011 52 63 20868350
- [7]Taipale H Solmi M Lähteenvuo M Tanskanen A Correll CU Tiihonen J Antipsychotic use and risk of breast cancer in women with schizophrenia: a nationwide nested case-control study in Finland Lancet Psychiatry 8 2021 883 891 34474013
- [8]Fleischhaker C Schulz E Tepper K Martin M Hennighausen K Remschmidt H Long-term course of adolescent schizophrenia Schizophr Bull 31 2005 769 780 16123530
- [9]NICE National Institute for Health and Care Excellence Psychosis and schizophrenia in children and young people: recognition and management https://www.nice.org.uk/guidance/cg155 Jan 23, 2013 32186837
- [10]NICE National Institute for Health and Care Excellence Antisocial behaviour and conduct disorders in children and young people: recognition and management https://www.nice.org.uk/guidance/cg158 March 27, 2013 32073810
- [12]Pillinger T McCutcheon RA Howes OD Variability of glucose, insulin, and lipid disturbances in first-episode psychosis: a meta-analysis Psychol Med 53 2023 3150 3156 37449481 PMC10235663
- [13]Pillinger T Beck K Gobjila C Donocik JG Jauhar S Howes OD Impaired glucose homeostasis in first-episode schizophrenia: a systematic review and meta-analysis JAMA Psychiatry 74 2017 261 28097367 PMC6352957
- [14]Pillinger T Beck K Stubbs B Howes OD Cholesterol and triglyceride levels in first-episode psychosis: systematic review and meta-analysis Br J Psychiatry 211 2017 339 349 28982658 PMC5709673
- [15]Moher D Liberati A Tetzlaff J Altman DG Grp P Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement J Clin Epidemiol 62 2009 1006 1012 19631508
- [16]Simon V van Winkel R De Hert M Are weight gain and metabolic side effects of atypical antipsychotics dose dependent? A literature review J Clin Psychiatry 70 2009 1041 1050 19653979
- [19]Pradhan AD Sex differences in the metabolic syndrome: implications for cardiovascular health in women Clin Chem 60 2014 44 52 24255079
- [23]Efthimiou O White IR The dark side of the force: multiplicity issues in network meta-analysis and how to address them Res Synth Methods 11 2020 105 122 31476256 PMC7003789
- [25]Seo M Furukawa TA Veroniki AA The Kilim plot: a tool for visualizing network meta-analysis results for multiple outcomes Res Synth Methods 12 2021 86 95 32524754 PMC7818463
- [26]Higgins JPT Altman DG Gøtzsche PC The Cochrane Collaboration's tool for assessing risk of bias in randomised trials BMJ 343 2011 d5928 PMC3196245 22008217
- [30]Krause M Zhu Y Huhn M Efficacy, acceptability, and tolerability of antipsychotics in children and adolescents with schizophrenia: a network meta-analysis Eur Neuropsychopharmacol 28 2018 659 674 29802039
- [31]Pagsberg AK Tarp S Glintborg D Acute antipsychotic treatment of children and adolescents with schizophrenia-spectrum disorders: a systematic review and network meta-analysis J Am Acad Child Adolesc Psychiatry 56 2017 191 202 28219485
- [32]Pozzi M Ferrentino RI Scrinzi G Weight and body mass index increase in children and adolescents exposed to antipsychotic drugs in non-interventional settings: a meta-analysis and meta-regression Eur Child Adolesc Psychiatry 31 2022 21 37 32617775
- [33]Balijepalli C Druyts E Zoratti MJ Change in prolactin levels in pediatric patients given antipsychotics for schizophrenia and schizophrenia spectrum disorders: a network meta-analysis Schizophr Res Treatment 2018 2018 1543034 PMC5899856 29805808
- [34]Zhu Y Krause M Huhn M Antipsychotic drugs for the acute treatment of patients with a first episode of schizophrenia: a systematic review with pairwise and network meta-analyses Lancet Psychiatry 4 2017 694 705 28736102
- [35]Riley RD Dias S Donegan S Using individual participant data to improve network meta-analysis projects BMJ Evid Based Med 2022 PMC10313959 35948411
- [36]Varimo E Aronen ET Mogk H Rättö H Saastamoinen LK Antipsychotic treatment duration in children and adolescents: a register-based nationwide study J Child Adolesc Psychopharmacol 31 2021 421 429 33739863
- [38]Correll CU Cortese S Croatto G Efficacy and acceptability of pharmacological, psychosocial, and brain stimulation interventions in children and adolescents with mental disorders: an umbrella review World Psychiatry 20 2021 244 275 34002501 PMC8129843
- [39]Pillinger T Howes OD Correll CU Antidepressant and antipsychotic side-effects and personalised prescribing: a systematic review and digital tool development Lancet Psychiatry 10 2023 860 876 37774723 PMC10878984
Cited by
Sorted by citations
Carolan, A., Hynes-Ryan, C., Agarwal, S. M., Bourke, R., Cullen, W., Gaughran, F., Hahn, M. K., Krivoy, A., Lally, J., Leucht, S., et al. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae205 · Cited by 70 · see citing works
Self-citationManter, M. A., Birtwell, K. B., Bath, J., Friedman, N. D. B., Keary, C. J., Neumeyer, A. M., Palumbo, M. L., Thom, R. P., Stonestreet, E., Brooks, H., et al. (2025) · BMC Medicine · doi:10.1186/s12916-024-03814-0 · Cited by 51 · see citing works
“While antipsychotic medications show efficacy and general tolerability [134], they can lead to serious physiological effects such as changes in bodyweight, body mass index, triglycerides, cholesterol, prolactin and heart rate [135], and thus require careful, frequent monitoring.”
- Authors
- Rogdaki, M., McCutcheon, R. A., D'Ambrosio, E., Mancini, V., Watson, C. J., Fanshawe, J. B., Carr, R., Telesia, L., Martini, M. G., Philip, A., Gilbert, B. J., Salazar-de-Pablo, G., Kyriakopoulos, M., Siskind, D., Correll, C. U., Cipriani, A., Efthimiou, O., Howes, O. D., & Pillinger, T.
- Affiliations
- King's College London (GB)
- University of Oxford (GB)
- South West London and St George's Mental Health NHS Trust (GB)
- MRC London Institute of Medical Sciences (GB)
- The University of Queensland (AU)
- Northwell Health (US)
- Oxford Health NHS Foundation Trust (GB)
- University of Bern (CH)
- Corresponding author
- Rogdaki, Maria
- ORCID
- Venue
- The Lancet Child & Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2024-07
- Volume
- 8
- Issue
- 7
- Pages
- 510-521
- ISSN
- 2352-4642 (ISSN-L)
- PMC
- PMC11790527
- OpenAlex
- W4399723051
- Cited by
- 41
- References
- 9
- Citations by year
- 2026: 20 · 2025: 18 · 2024: 3
- FWCI
- 12.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet Child & Adolescent Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion, other-oa)
- BORIS (University Library Bern) (submittedVersion, cc-by)
- Open Access CRIS of the University of Bern
- Funders
- King's College London
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Keywords
- antipsychotic drugs, children and adolescents, physiological effects, body weight, body mass index, fasting blood glucose, lipid profile, prolactin, heart rate, blood pressure, QTc interval, quetiapine, risperidone, olanzapine, paliperidone, blonanserin, neurodevelopmental disorders, neuropsychiatric disorders, adverse drug reactions
- MeSH terms
- Network Meta-Analysis, Adolescent, Mental Disorders, Blood Pressure, Child, Heart Rate, Humans, Antipsychotic Agents, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review