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Psychological Medicine Dec 2023Despite unclear evidence to support the long-term use of antipsychotics to treat challenging (problem) behaviours in people with autism in the absence of a psychiatric... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Despite unclear evidence to support the long-term use of antipsychotics to treat challenging (problem) behaviours in people with autism in the absence of a psychiatric disorder, this practice is common.
METHODS
We conducted a systematic review and meta-analysis of all randomised controlled trials (RCTs) involving antipsychotics for people with autism of all ages, irrespective of the outcomes assessed. We searched seven databases and hand-searched ten relevant journals. Two authors independently screened titles, abstracts and full papers and extracted data using the Cochrane Handbook template. We conducted meta-analyses of outcomes and the rate of adverse events.
RESULTS
We included 39 papers based on 21 primary RCTs that recruited 1482 people with autism. No RCT assessed any psychiatric disorder outcome, such as psychoses or bipolar disorder. A meta-analysis of ten placebo-controlled RCTs showed a significantly improved Aberrant Behaviour Checklist-Irritability score in the antipsychotic group with an effect size of -6.45 [95% confidence interval (CI) -8.13 to -4.77] (low certainty). Pooled Clinical Global Impression data on 11 placebo-controlled RCTs showed an overall effect size of 0.84 (95% CI 0.48 to 1.21) (moderate certainty). There was a significantly higher risk of overall adverse effects ( = 0.003) and also weight gain ( < 0.00001), sedation ( < 0.00001) and increased appetite ( = 0.001) in the antipsychotic group.
CONCLUSIONS
There is some evidence for risperidone and preliminary evidence for aripiprazole to significantly improve scores on some outcome measures among children with autism but not adults or for any other antipsychotics. There is a definite increased risk of antipsychotic-related different adverse effects.
Topics: Child; Humans; Antipsychotic Agents; Aripiprazole; Risperidone; Psychotic Disorders; Autism Spectrum Disorder; Randomized Controlled Trials as Topic
PubMed: 37539448
DOI: 10.1017/S003329172300212X -
Translational Psychiatry Dec 2023Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased power for low and high... (Meta-Analysis)
Meta-Analysis
Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased power for low and high frequencies and reduced power for middle frequencies. However, these differences have yet to be quantified using effect sizes and probed robustly for consistency, which are critical next steps for clinical translation. Following PRISMA guidelines, we conducted a systematic review of published and gray literature on resting-state EEG power in autism. We performed 10 meta-analyses to synthesize and quantify differences in absolute and relative resting-state delta, theta, alpha, beta, and gamma EEG power in autism. We also conducted moderator analyses to determine whether demographic characteristics, methodological details, and risk-of-bias indicators might account for heterogeneous study effect sizes. Our literature search and study selection processes yielded 41 studies involving 1,246 autistic and 1,455 neurotypical individuals. Meta-analytic models of 135 effect sizes demonstrated that autistic individuals exhibited reduced relative alpha (g = -0.35) and increased gamma (absolute: g = 0.37, relative: g = 1.06) power, but similar delta (absolute: g = 0.06, relative: g = 0.10), theta (absolute: g = -0.03, relative: g = -0.15), absolute alpha (g = -0.17), and beta (absolute: g = 0.01, relative: g = 0.08) power. Substantial heterogeneity in effect sizes was observed across all absolute (I: 36.1-81.9%) and relative (I: 64.6-84.4%) frequency bands. Moderator analyses revealed that age, biological sex, IQ, referencing scheme, epoch duration, and use of gold-standard autism diagnostic instruments did not moderate study effect sizes. In contrast, resting-state paradigm type (eyes-closed versus eyes-open) moderated absolute beta, relative delta, and relative alpha power effect sizes, and resting-state recording duration moderated relative alpha power effect sizes. These findings support further investigation of resting-state alpha and gamma power as potential biomarkers for autism.
Topics: Humans; Electroencephalography; Autism Spectrum Disorder; Attention Deficit Disorder with Hyperactivity; Autistic Disorder
PubMed: 38097538
DOI: 10.1038/s41398-023-02681-2 -
Autism Research : Official Journal of... Feb 2022Children with autism spectrum disorder (ASD) are frequently diagnosed with co-occurring medical conditions including inflammatory bowel disease (IBD). To investigate the... (Meta-Analysis)
Meta-Analysis
Children with autism spectrum disorder (ASD) are frequently diagnosed with co-occurring medical conditions including inflammatory bowel disease (IBD). To investigate the association, we conducted a systematic review registered in PROSPERO (ID:CRD42021236263) with a random-effects meta-analysis. We searched PubMed, Embase, and PsycInfo (last search on January 25, 2021), and manually searched relevant publications. We included observational studies measuring the association between ASD and IBD. The primary outcome was the association (odds ratio, OR) between ASD and later development of IBD. Sensitivity analyses were conducted by quality, confounding adjustment, and study design. We performed meta-regression analyses and assessed heterogeneity, publication bias, and quality of studies with the Newcastle-Ottawa Scale. Overall, we included six studies consisting of eight datasets, including over 11 million participants. We found that ASD was significantly associated with subsequent incident IBD (any IBD, OR = 1.66, 95% confidence interval[CI] = 1.25-2.21, p < 0.001; ulcerative colitis, OR = 1.91, 95%CI = 1.41-2.6, p < 0.001; Crohn's disease, OR = 1.47, 95%CI = 1.15-1.88, p = 0.002). ASD and IBD were also associated regardless of temporal sequence of diagnosis (any IBD, OR = 1.57, 95%CI = 1.28-1.93, p < 0.001; ulcerative colitis, OR = 1.7, 95%CI = 1.36-2.12, p < 0.001; Crohn's disease, OR = 1.37, 95%CI = 1.12-1.69, p = 0.003). Sensitivity analyses confirmed the findings of the main analysis. Meta-regression did not identify any significant moderators. Publication bias was not detected. Quality was high in four datasets and medium in four. In conclusion, our findings highlight the need to screen for IBD in individuals with ASD, and future research should identify who, among those with ASD, has the highest risk of IBD, and elucidate the shared biological mechanisms between ASD and IBD. LAY SUMMARY: This systematic review and meta-analysis of eight observational datasets found that individuals with autism spectrum disorder (ASD) are more likely to develop any inflammatory bowel disease, ulcerative colitis, or Crohn's disease. Our findings highlight the need to screen for inflammatory bowel disease in patients with ASD and elucidate the shared biological mechanisms between the two disorders.
Topics: Autism Spectrum Disorder; Child; Chronic Disease; Humans; Inflammatory Bowel Diseases; Observational Studies as Topic; Odds Ratio
PubMed: 34939353
DOI: 10.1002/aur.2656 -
JAMA Pediatrics Apr 2023The Modified Checklist for Autism in Toddlers (M-CHAT) and the M-CHAT, Revised With Follow-up (M-CHAT-R/F)-henceforth referred to as M-CHAT(-R/F)-are the most commonly... (Meta-Analysis)
Meta-Analysis
IMPORTANCE
The Modified Checklist for Autism in Toddlers (M-CHAT) and the M-CHAT, Revised With Follow-up (M-CHAT-R/F)-henceforth referred to as M-CHAT(-R/F)-are the most commonly used toddler screeners for autism spectrum disorder (ASD). Their use often differs from that in the original validation studies, resulting in a range of estimates of sensitivity and specificity. Also, given the variability in reports of the clinical utility of the M-CHAT(-R/F), researchers and practitioners lack guidance to inform autism screening protocols.
OBJECTIVE
To synthesize variability in sensitivity and specificity of M-CHAT(-R/F) across multiple factors, including procedures for identifying missed cases, likelihood level, screening age, and single compared with repeated screenings.
DATA SOURCES
A literature search was conducted with PubMed, Web of Science, and Scopus to identify studies published between January 1, 2001, and August 31, 2022.
STUDY SELECTION
Articles were included if the studies used the M-CHAT(-R/F) (ie, original or revised version) to identify new ASD cases, were published in English-language peer-reviewed journals, included at least 10 ASD cases, reported procedures for false-negative case identification, screened children by 48 months, and included information (or had information provided by authors when contacted) needed to conduct the meta-analysis.
DATA EXTRACTION AND SYNTHESIS
The systematic review and meta-analysis was conducted within the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. The Quality Assessment of Diagnostic Accuracy Studies-2 tool evaluated bias in sample selection. Data extraction and quality assessment were performed by 2 authors independently. The overall diagnostic accuracy of the M-CHAT(-R/F) was assessed with the hierarchic summary receiver operating characteristic (HSROC) model.
MAIN OUTCOMES AND MEASURES
Sensitivity, specificity, diagnostic odds ratios, and HSROC curves of M-CHAT(-R/F).
RESULTS
The review included 50 studies with 51 samples. The pooled sensitivity of M-CHAT(-R/F) was 0.83 (95% CI, 0.77-0.88), and the pooled specificity was 0.94 (95% CI, 0.89-0.97). Heterogeneity analyses revealed greater diagnostic accuracy for low- vs high-likelihood samples, a concurrent vs prospective case confirmation strategy, a large vs small sample size, use of M-CHAT(-R/F) Follow-up, and non-English vs English only.
CONCLUSIONS AND RELEVANCE
Overall, results of this study suggest the utility of the M-CHAT(-R/F) as an ASD screener. The wide variability in psychometric properties of M-CHAT(-R/F) highlights differences in screener use that should be considered in research and practice.
Topics: Humans; Child, Preschool; Autistic Disorder; Autism Spectrum Disorder; Checklist; Sensitivity and Specificity; ROC Curve
PubMed: 36804771
DOI: 10.1001/jamapediatrics.2022.5975 -
Autism : the International Journal of... May 2021We currently assume that the global mean age at diagnosis of autism spectrum disorder ranges from 38 to 120 months. However, this range is based on studies from 1991... (Meta-Analysis)
Meta-Analysis
We currently assume that the global mean age at diagnosis of autism spectrum disorder ranges from 38 to 120 months. However, this range is based on studies from 1991 to 2012 and measures have since been introduced to reduce the age at autism spectrum disorder diagnosis. We performed a systematic review and meta-analysis (statistical analysis that combines the results of multiple scientific studies) for studies published between 2012 and 2019 to evaluate the current age at autism spectrum disorder diagnosis. We included 56 studies that reported the age at diagnosis for 40 countries (containing 120,540 individuals with autism spectrum disorder). Results showed the current mean age at diagnosis to be 60.48 months (range: 30.90-234.57 months) and 43.18 months (range: 30.90-74.70 months) for studies that only included children aged ⩽10 years. Numerous factors that may influence age at diagnosis (e.g. type of autism spectrum disorder diagnosis, additional diagnoses and gender) were reported by 46 studies, often with conflicting or inconclusive results. Our study is the first to determine the global average age at autism spectrum disorder diagnosis from a meta-analysis. Although progress is being made in the earlier detection of autism spectrum disorder, it requires our constant attention.
Topics: Autism Spectrum Disorder; Child; Humans; Research Design
PubMed: 33213190
DOI: 10.1177/1362361320971107 -
Nordic Journal of Psychiatry Feb 2023The effect of parental schizophrenia on the risk of Autism Spectrum Disorders (ASD) in offspring has been evaluated in previous studies. However, to our knowledge, no... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
The effect of parental schizophrenia on the risk of Autism Spectrum Disorders (ASD) in offspring has been evaluated in previous studies. However, to our knowledge, no systematic review and meta-analysis have assessed this association. In this study, we aimed to evaluate the risk of ASD in offspring with parental schizophrenia.
METHODS
The electronic databases EMBASE, PubMed, and Scopus were systematically searched. We administered the Newcastle Ottawa quality assessment scale (NOS) to assess the quality of all selected studies. Combined effect values, as well as their 95% confidence intervals (CI), were calculated. We evaluated heterogeneity using Q and I statistics. The publication bias was evaluated by funnel plot and Egger's regression test. In addition, a leave-one-out sensitivity analysis was performed to assess the robustness of the finding.
RESULTS
A total of 12 observational studies (10 cohorts and two case-control) were included. Our study found a high risk of ASD in offspring exposed to parental schizophrenia [RR = 2.38 (CI%95 2.0-2.83)]. Subgroup and sensitivity analysis confirmed the robustness of our main analysis.
CONCLUSION
The risk of ASD is considerably higher in offspring with parental schizophrenia. Our findings may suggest a shared pathologic pathway between schizophrenia and ASD.
Topics: Humans; Autism Spectrum Disorder; Schizophrenia; Parents; Employment
PubMed: 35507890
DOI: 10.1080/08039488.2022.2070664 -
Autism : the International Journal of... Jul 2017This review contributes to the growing body of global autism spectrum disorder literature by examining the use of screening instruments in low- and middle-income... (Review)
Review
This review contributes to the growing body of global autism spectrum disorder literature by examining the use of screening instruments in low- and middle-income countries with respect to study design and methodology, instrument adaptation and performance, and collaboration with community stakeholders in research. A systematic review was conducted to understand the use of autism spectrum disorder screening instruments in low- and middle-income countries from studies published between 1992 and 2015. This review found that 18 different autism spectrum disorder screeners have been used in low- and middle-income settings with wide ranges of sensitivities and specificities. The significant variation in study design, screening methodology, and population characteristics limits the ability of this review to make robust recommendations about optimal screening tool selection. Clinical-based screening for autism spectrum disorder was the most widely reported method. However, community-based screening was shown to be an effective method for identifying autism spectrum disorder in communities with limited clinical resources. Only a few studies included in this review reported cultural adaptation of screening tools and collaboration with local stakeholders. Establishing guidelines for the reporting of cultural adaptation and community collaboration procedures as well as screening instrument psychometrics and screening methodology will enable the field to develop best practices for autism spectrum disorder screening in low-resource settings.
Topics: Autism Spectrum Disorder; Developing Countries; Humans; Psychometrics
PubMed: 28183195
DOI: 10.1177/1362361316677025 -
Journal of Child Psychology and... May 2016The etiology of Autism Spectrum Disorder (ASD) has been recently debated due to emerging findings on the importance of shared environmental influences. However, two... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
The etiology of Autism Spectrum Disorder (ASD) has been recently debated due to emerging findings on the importance of shared environmental influences. However, two recent twin studies do not support this and instead re-affirm strong genetic effects on the liability to ASD, a finding consistent with previous reports. This study conducts a systematic review and meta-analysis of all twin studies of ASD published to date and explores the etiology along the continuum of a quantitative measure of ASD.
METHODS
A PubMed Central, Science Direct, Google Scholar, Web of Knowledge structured search conducted online, to identify all twin studies on ASD published to date. Thirteen primary twin studies were identified, seven were included in the meta-analysis by meeting Systematic Recruitment criterion; correction for selection and ascertainment strategies, and applied prevalences were assessed for these studies. In addition, a quantile DF extremes analysis was carried out on Childhood Autism Spectrum Test scores measured in a population sample of 6,413 twin pairs including affected twins.
RESULTS
The meta-analysis correlations for monozygotic twins (MZ) were almost perfect at .98 (95% Confidence Interval, .96-.99). The dizygotic (DZ) correlation, however, was .53 (95% CI .44-.60) when ASD prevalence rate was set at 5% (in line with the Broad Phenotype of ASD) and increased to .67 (95% CI .61-.72) when applying a prevalence rate of 1%. The meta-analytic heritability estimates were substantial: 64-91%. Shared environmental effects became significant as the prevalence rate decreased from 5-1%: 07-35%. The DF analyses show that for the most part, there is no departure from linearity in heritability.
CONCLUSIONS
We demonstrate that: (a) ASD is due to strong genetic effects; (b) shared environmental effects become significant as a function of lower prevalence rate; (c) previously reported significant shared environmental influences are likely a statistical artefact of overinclusion of concordant DZ twins.
Topics: Autism Spectrum Disorder; Diseases in Twins; Genetic Predisposition to Disease; Humans
PubMed: 26709141
DOI: 10.1111/jcpp.12499 -
Special Care in Dentistry : Official... Sep 2022To investigate bruxism in individuals with autism spectrum disorder (ASD) and neurotypical individuals. (Meta-Analysis)
Meta-Analysis Review
AIMS
To investigate bruxism in individuals with autism spectrum disorder (ASD) and neurotypical individuals.
METHODS AND RESULTS
Searches were conducted in the MedLine via Ovid, Embase via Ovid, Cochrane Database of Systematic Reviews, Scopus, Web of Science, Latin American and Caribbean Health Sciences (LILACS), Brazilian Library of Dentistry (BBO) and SciELO databases, grey literature and a hand search up to December 2020 with no restrictions imposed regarding language or year of publication (CRD42020211307). For the meta-analysis, the frequency of bruxism was extracted, with the calculation of odds ratios (OR) and 95% confidence intervals (CI) using a random effects model in RevManager. The certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). Seventeen case-control studies were included in the qualitative synthesis and 15 were included in the meta-analysis, totaling a population of 3850 individuals. The ASD group was more likely to develop bruxism than the controls (OR: 3.80; 95% CI: 2.06-7.01). The certainty of the evidence was classified as "very low" for the occurrence of bruxism between ASD and control individuals.
CONCLUSION
It is uncertain whether individuals with ASD are more likely to have bruxism than healthy controls.
Topics: Autism Spectrum Disorder; Brazil; Bruxism; Case-Control Studies; Humans
PubMed: 35263459
DOI: 10.1111/scd.12707 -
Neuroscience and Biobehavioral Reviews Dec 2023This report aimed to compare group differences in social and non-social cognition in autism spectrum disorders (ASD) and schizophrenia, and examine the influence of age... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
This report aimed to compare group differences in social and non-social cognition in autism spectrum disorders (ASD) and schizophrenia, and examine the influence of age and other factors on group differences.
METHODS
Literature searches were conducted in Pubmed and Web of Science from January 1980 to August 2022. Original research articles reporting objective measures of cognition were selected.
RESULTS
57 articles involving 1864 patients with schizophrenia and 1716 patients with ASD have been included. Schizophrenia was associated with more severe non-social-cognitive impairment, particularly in fluency (g=0.47;CI[0.17-0.76]) and processing speed domains (g=0.41;CI[0.20-0.62]). Poorer performance in social cognition (Z = 3.68,p = 0.0002) and non-social cognition (Z = 2.48,p = 0.01) in schizophrenia were significantly related to older age. ASD was associated with more severe social cognitive impairment when groups were matched for non-social-cognition (g=-0.18, p = 0.04) or reasoning/problem solving (g=-0,62; CI [-1,06-(-0.08)].
DISCUSSION
While both disorders present with social and non-social cognitive impairments, the pattern and developmental trajectories of these deficits are different. The limitations included heterogeneity of the cognitive measures, and the lack of sufficient information about antipsychotic use.
Topics: Humans; Schizophrenia; Autism Spectrum Disorder; Social Cognition; Social Perception; Cognitive Dysfunction; Cognition
PubMed: 37923237
DOI: 10.1016/j.neubiorev.2023.105441