Gastrointestinal Symptoms in Autism Spectrum Disorder: A Meta-analysis Barbara O. McElhanon, Courtney McCracken, Saul Karpen and William G. Sharp Pediatrics 2014;133;872; originally published online April 28, 2014; DOI: 10.1542/peds.2013-3995

The online version of this article, along with updated information and services, is located on the World Wide Web at: http://pediatrics.aappublications.org/content/133/5/872.full.html

PEDIATRICS is the official journal of the American Academy of Pediatrics. A monthly publication, it has been published continuously since 1948. PEDIATRICS is owned, published, and trademarked by the American Academy of Pediatrics, 141 Northwest Point Boulevard, Elk Grove Village, Illinois, 60007. Copyright © 2014 by the American Academy of Pediatrics. All rights reserved. Print ISSN: 0031-4005. Online ISSN: 1098-4275.

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Gastrointestinal Symptoms in Autism Spectrum Disorder: A Meta-analysis abstract BACKGROUND: In pediatric settings, parents often raise concerns about possible gastrointestinal (GI) symptoms in autism spectrum disorder (ASD), yet the specificity of these concerns are not well studied. OBJECTIVE: To conduct a meta-analysis of research investigating GI symptoms among children with ASD. METHODS: We searched Medline, PsycINFO, and PubMed databases (1980–2012) in peer-reviewed journals. Analysis involved studies with a comparison group presenting quantitative data on GI symptoms using combinations of terms for ASD and GI indicators. The systematic search yielded 15 studies. We calculated effect sizes and 95% confidence intervals (CIs) using a random-effects model. RESULTS: Children with ASD experience significantly more general GI symptoms than comparison groups, with a standardized mean difference of 0.82 (0.24) and a corresponding odds ratio (OR) of 4.42 (95% CI, 1.90–10.28). Analysis also indicated higher rates of diarrhea (OR, 3.63; 95% CI, 1.82–7.23), constipation (OR, 3.86; 95% CI, 2.23–6.71), and abdominal pain (OR, 2.45; 95% CI, 1.19–5.07). CONCLUSIONS: Results indicate greater prevalence of GI symptoms among children with ASD compared with control children. Identified studies involved high methodological variability and lack of comprehensive data prohibited analysis of GI pathophysiologies (eg, gastroesophageal reflux) typically associated with organic etiologies, limiting conclusions about the underpinnings of the observed association. Future research must address critical questions about the causes and long-term impact of GI symptoms in ASD. Such analyses will require more systematic research and clinical activities, including improved diagnostic screening, standardized assessment, and exploration of potential moderators (eg, dietary restrictions). Pediatrics 2014;133:872–883

AUTHORS: Barbara O. McElhanon, MD,a Courtney McCracken, PhD,a Saul Karpen, MD, PhD,a and William G. Sharp, PhDa,b aDepartment of Pediatrics, Emory University School of Medicine, Atlanta, Georgia; and bMarcus Autism Center, Atlanta, Georgia

KEY WORDS autism spectrum disorder, constipation, digestive disorders, GI ABBREVIATIONS ADI-R—Autism Diagnostic Interview–Revised ADOS—Autism Diagnostic Observation Schedule ASD—autism spectrum disorder CARS—Childhood Autism Rating Scale CI—confidence interval DD—developmental delay ES—effect size GI—gastrointestinal MMR—measles-mumps-rubella OR—odds ratio SB—sibling SMD—standardized mean difference TD—typically developing Dr McElhanon participated in the study conception, design, identification of studies, study selection, data collection, data extraction, data analysis, data interpretation, and drafting and revision of the article; Dr McCracken participated in data analysis, data interpretation, and drafting and revision of the article; Dr Karpen participated in the study conception, data interpretation, and critical revision of the article for important intellectual content; Dr Sharp participated in the study conception, design, identification of studies, study selection, data collection, data extraction, data analysis, data interpretation, and drafting and revision of the article; and all authors approved the final manuscript as submitted. www.pediatrics.org/cgi/doi/10.1542/peds.2013-3995 doi:10.1542/peds.2013-3995 Accepted for publication Feb 12, 2014 Address correspondence to William G. Sharp, PhD, Pediatric Feeding Disorders Program, The Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329. E-mail: [email protected] PEDIATRICS (ISSN Numbers: Print, 0031-4005; Online, 1098-4275). Copyright © 2014 by the American Academy of Pediatrics FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose. FUNDING: No external funding. POTENTIAL CONFLICT OF INTEREST: Dr Sharp is a member of the Nutricia Advisory Board on GI Concerns in Children With ASD. The other authors have indicated they have no potential conflicts of interest to disclose.

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Autism spectrum disorder (ASD) is a neurodevelopmental condition that unfolds in the first few years of life and involves severe impairments in social interaction and communication, with concomitant restriction in interests and extreme attachment to routine or to repetitive or perseverative behaviors.1 Estimates of ASD in pediatric populations have climbed dramatically over the past decade, with ∼1 in every 88 children currently meeting diagnostic criteria in the United States.2 High prevalence combined with greater health care costs3 and caregiver burden4 associated with ASD intensifies the need to identify the etiology of ASD and develop interventions to remediate core and comorbid symptoms. Gastrointestinal (GI) dysfunction is frequently cited among children with ASD, and many causal and therapeutic hypotheses of ASD involve the GI system.5 This includes the idea that there is a specific GI pathology associated with ASD, triggered by abnormal immune function or elevated intestinal permeability. A great amount of controversy has surrounded this topic since publication and public awareness in 1998 naming a new pathologic entity, “autistic enterocolitis,”6 as responsible for developmental regression in 12 children after administration of the measlesmumps-rubella (MMR) vaccine. Ultimately, this research was retracted7 for several reasons, including questionable research practices, as found by the General Medical Counsel of the United Kingdom. An association between the MMR vaccine and ASD has not been supported in subsequent research8; however, questions remain about the status of GI system function in ASD. Additional theories have posited that children with ASD are at greater risk for gluten sensitivity,9 lactase deficiencies,10 and gene variants.11 Although the presence of a unique GI pathophysiology specific to ASDs has yet to be identified,5 elevated risk for GI symptoms in this population remains a critical issue in

pediatric settings, because this population is significantly more likely to use GI agents and experience hospitalizations related to GI disturbance compared with peers.3 Concern about possible GI dysfunction in ASD is intensified by high rates of feeding concernsandconsequentmedical sequelae in ASD. Children with ASD have a fivefold elevated risk of developing a feeding problem compared with peers.12 Severe food selectivity (ie, eating only a narrow variety of foods) is the most common feeding concern documented among children with ASD, predominantly in the form of strong preferences for starches, snack foods, and processed foods and a bias against fruits, vegetables, and proteins.13 However, feeding concerns in ASD are often overlooked in relation to other areas of clinical concern, probably because selective eating patterns do not necessarily associate greater risk for compromised growth (eg, failure to thrive, declining growth velocity) that trigger clinical attention in pediatric settings.12,13 Evidence suggests that atypical patterns of intake in ASD place this population at risk for long-term nutritional or medical complications not captured by broad anthropometrics or analysis of overall energy intake, including vitamin and mineral deficiencies12 and compromised bone growth.14 Indeed, closer examination of nutrient intake in the ASD population indicates significant specific deficits (lower intake of calcium and protein) and a higher number of nutritional deficits overall among children with ASD.12 Food selectivity in ASD may also explain emerging evidence of a higher incidence of obesity,15 based on dietary patterns involving excessive consumption of processed snacks and calorie-dense foods. Etiological factors contributing to the pattern and prevalence of atypical intake in ASD remain elusive, but may involve pathophysiological processes in the GI tract. Although organic factors leading to

difficult or painful eating, such as gastroesophageal reflux, gastroenteritis, and food allergies, often precipitate or play a role in the development of chronic feeding concerns in other pediatric populations,12 research has yet to identify a clear GI link to account for the emergence, maintenance, and topography of feeding problems associated with ASD. Research focusing on GI dysfunction and feeding concerns in ASD was recently raised to priority status by the National Institutes of Health Interagency Autism Coordinating Committee (http:// iacc.hhs.gov/), which cited that in a network of 14 academic health centers throughout the United States, feeding and GI problems were reported in 50% of patients participating in treatment protocols. Moreover, a recent consensus report concluded that the available evidence suggests the likelihood of greater prevalence of GI symptoms and disorders in ASD while also noting that definitive conclusions and evidencebased recommendations regarding GI dysfunction in ASD were not possible because of the absence of high-quality clinical research data.5 This conclusion was based on a qualitative review of the literature involving a pool of 11 studies. Identified studies had wide methodological variability, with less than half of the studies including a comparison group and with data collection consisting primarily of parent reports, chart reviews, or study-specific questionnaires. This article has been cited 26 times in peer-reviewed publications (as of April 2013) and is probably a primary resource for pediatricians in approaching these issues, emphasizing the need for additional research in this area to guide clinical and research activities. Recent growth in the research literature, combined with the availability of quantitative procedures for synthesizing outcome data, present the opportunity for an updated analysis of

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the extant literature. The current review sought to survey the medical literature to identify studies using empirical methods to investigate GI diagnoses, signs, and symptoms among children with ASD and to summarize the evidence on the basis of both descriptive and metaanalytic procedures.

METHODS Search Strategy and Study Selection Following the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, we searched Medline, PsycINFO, and PubMed databases (January 1980 and September 2012) and conducted ancestral and online searches in Englishlanguage journals foreligible studies. The search parameters (Table 1) included combinations of key words regarding the target population (eg, “autism,” “autistic disorder”) paired systematically with GI indicators (eg, “digestion,” “gastritis”).

TABLE 1 ASD and GI Key Words Used in Database Search ASD Search Terms Asperger’s Autism Autism spectrum disorder Autistic Pervasive developmental disorder PDD-NOS GI Search Terms Abdominal pain/abdomen Celiac Colitis Constipation Diarrhea Digestion Digestive disorders/system Disaccharidase Endoscopy/colonoscopy Esophagitis/oesophagitis Gastroenterology Gastritis Gastrointestinal Gluten(s) Gastroesophageal reflux Intestines/intestinal Vomiting PDD-NOS, pervasive developmental disorder not otherwise specified.

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We cross-checked search results and removed overlapping citations. References from relevant articles and previous reviews in this area5,16 were also searched for possible studies. To be included in the meta-analysis, studies also had to meet the following criteria: the sample involved a pediatric population (birth to 18 years of age) with ASD; the study used a non-ASD comparison group without identified neurobehavioral delays to analyze GI problems (ie, typically developing peers or siblings); and the study presented data on GI symptoms either descriptively (eg, frequencies, percentages) or statistically (eg, P values, t scores). To avoid a known sampling bias, we excluded studies involving an ASD sample made up exclusively of children with known GI diagnoses17 or comparison groups made up exclusively of children without stomach or gut issues.18

cognitive status or IQ was presented. Possible GI assessment tools included chart review, caregiver questionnaire, parent interview, physician evaluation, any relevant blood tests, stool studies, skin allergy tests, or endoscopy. Possible GI symptoms and diagnoses extracted included the range of terms listed in Table 1, with space provided to code for other medical concerns presented in articles (eg, feeding concerns). The double-entered data allowed for k coefficients (for categorical variables) and intraclass correlations (for interval and continuous variables) to be calculated on all extracted information. The mean k agreement for categorical data was 82% (range: 52%–100%). The overall intraclass correlation for interval and continuous data was 0.97 (range: 0.62–1). Coder agreement exceeded the 80% standard widely adopted and recommended during quantitative synthesis of research.22

Variables Coded, Data Extraction, and Reliability

Statistical Analysis

Two authors (B.O.M., W.G.S.) screened all articles identified during the literature search and coded eligible studies by using a standardized checklist system (available on request). Data extracted during this process included descriptive information: study descriptors (eg, data collection, recruitment setting), participant demographic variables (ie, sample size, age, gender), composition of the comparison groups, ASD diagnostic procedures, GI assessment tools, and summary of findings. When it was reported, we coded the source of the ASD diagnosis, with possible categories including parent report, community provider using diagnostic criteria (eg, psychologist; pediatrician), chart review of diagnostic status, ASD rating scale (eg, Childhood Autism Rating Scale [CARS],19 Autism Diagnostic Interview–Revised [ADI-R]20), and Autism Diagnostic Observation Schedule (ADOS21). We also recorded whether a standardized measure of

To calculate the effect size (ES), we used means (SDs) or frequencies (percentages), or if necessary, we estimated the ES from test statistics (eg, x 2, t tests). When summary statistics were not presented in an article, we attempted to contact the primary author via e-mail. The primary goal of the meta-analysis was to determine the overall difference in GI symptoms between children with and without ASD. For each GI concern, we calculated a separate ES estimate across studies. For studies involving multiple comparison groups (eg, ASD versus typically developing [TD] or sibling [SB]), we pooled the comparison groups, producing an overall effect size comparing children with and without ASD. This was the case in only 2 studies.23,24 Our exclusion criteria also excluded subgroups of children with other medical concerns or developmental delays (DDs), although descriptive information (eg, age range, sample size)

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regarding DD samples is presented in Table 3 for reference. We did not conduct an analysis of potential moderators (eg, age, gender, diagnostic status) given the small number of available studies and the lack of descriptive data presented in the articles. Finally, for a variable to be included in the analysis, we required at least 6 studies presenting data on a GI symptom, in line with recommended standards for systematic reviews.25,26 We entered and analyzed data using Comprehensive Meta-Analysis 2.27 We converted all ESs to standardized mean difference (SMDs) using a randomeffects model.28 A positive SMD (SMD . 0) indicated more GI-related concerns in children with ASD than in the comparison group. We evaluated SMD magnitude using conventional standards (0.2 = small, 0.5 = medium, 0.9 = large).29 To aid in clinical interpretation of outcomes, we also calculated the corresponding odds ratio (OR) with 95% CIs, with values reflecting the odds of a child with ASD having a GI symptom compared with a child without ASD. To assess heterogeneity within subgroups and between studies, we calculated ESs and associated 95% CIs foreach subgroup. In addition, we used the Q test to formally determine whether heterogeneity was present. To assess the robustness of our results, we conducted a sensitivity analysis to determine how sensitive the combined estimate was to any 1 study by repeatedly calculating the overall ES with 1 study omitted per iteration and compared the results with the overall study effect. We analyzed the threat of possible publication bias to the validity of the obtained outcomes using the funnel plot,30 failsafe N,31 and the trim and fill.32 The failsafe N method determines the number of additional “negative” studies (eg studies showing no difference between ASD and non-ASD groups) needed to reduce the overall test to nonsignificance. A small number of negative studies indicate possible

publication bias. The trim and fill method is a nonparametric method that first estimates the number of “missing studies” in a meta-analysis and then determines what effect they would have on the outcome had they been present all along. If the added studies significantly change the test result, then publication bias is possible.

RESULTS Characteristics of Studies and Participants The search yielded 15 articles out of a pool of 961 possible studies. Figure 1 presents a flow diagram of the screening and identification process. All articles were published since 2000, with 5 (33%) since 2010. Only 4 of the 11 studies (36%) identified by Buie et al5 met inclusion criteria, resulting in 11 unique articles (73%) in the review. Table 2 provides a summary of methods by study. Research designs included prospective studies (53%), as well as studies mining existing databases33–36 or medical charts.37–39 In terms of confirming diagnostic status, 3 studies (20%) used either the ADI-R or ADOS; 3 (20%) used the CARS. Six (40%) relied exclusively on chart review or clinical provider, 1 study (7%) involved parent report, and the remaining 2 studies (13%) did not identify the source of ASD diagnosis. Assessment of GI status involved either caregiver report (73%) or medical chart review (27%). Diarrhea was the most common symptom assessed, followed by general GI concerns. This latter category primarily involved denoting the percentage of children experiencing $1 GI clinical element based on a composite of possible symptoms23,33,36–41; 3 studies broadly asked caregivers whether there were concerns about their child’s bowels,42 whether their child experienced chronic or ongoing GI problems,23 or whether their child had a history of GI dysfunction.43 Nine studies (60%) included information outside the core

symptoms captured by our coding sheet, such as recurrent fever,39 feeding or dietary concerns,37,41,42 or behavioral concerns (eg, sleep, sudden aggressive behavior)40 or simply included a broad category of “other GI problems.”36 Thepool ofstudiesinvolveda totalsample of 2215 children with ASD (Table 3). All studies reported information on age (ie, mean, SD, range). Two studies37,38 involved a longitudinal design assessing the incidence of GI symptoms at fixed time periods; both also presented an overall composite of symptoms, which was used for the current analysis. Eight studies (53%) reported matching or statistical equivalence for age across groups; 4 (27%) noted equivalence in the proportion of boys to girls. Overall Measure of ES Four variables (ie, general GI concerns, diarrhea, constipation, abdominal pain) met the 6-study threshold for inclusion in the analysis. Table 4 presents ES estimates calculated by using random effects models. Overall test for heterogeneity of study ESs was statistically significant for all 4 outcome measures, indicating that the random effects model was appropriate. Analysis indicated higher levels of GI symptoms in all 4 areas among children with ASD when compared with children without ASD. OR estimates for reports of general GI symptoms ranged from 0.39 to 48.25 (Fig 2), with an overall OR of 4.42, suggesting that the odds of GI symptoms in children with ASD are 4 times more prevalent than for children without ASD. The corresponding SMD was large and statistically significant (P , .001). OR estimates for diarrhea ranged from 0.60 to 19.80 (Fig 3), with an overall OR of 3.63, suggesting a greater than threefold increase in the prevalence of diarrhea in children with ASD. A similar trend was detected for constipation, with OR estimates ranging from 0.86 to 32.87 (Fig 4) and an overall OR of 3.86.

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risk of general GI symptoms among children with ASD than in those without ASD, indicating that this population may be more prone to specific symptoms of abdominal pain, constipation, and diarrhea. By conventional standards, findings reflect a large ES, corresponding to a greater than threefold elevated risk of general GI concerns, constipation, and diarrhea between children with and without ASD and a “medium” effect size corresponding with a greater than twofold elevated risk of abdominal pain. This pattern of results corroborates previous anecdotal reports and descriptive studies suggesting greater GI complaints in ASD while emphasizing the need for more evidence-based data to support best standards of care.

FIGURE 1 Flow diagram of included and excluded studies.

The corresponding SMD for both variables was large and statistically significant (P , .001). Finally, OR estimates for abdominal pain ranged from 0.93 to 7.91 (Fig 5), with an overall OR of 2.45. The corresponding SMD represented a medium and statistically significant (P , .05) effect size. Sensitivity Analysis, Publication Bias, and Reliability of Results Sensitivity analysis involved visual inspection of CIs for the overall ES after each study was removed one at a time. No study significantly altered the overall mean ES estimates for each of the GI variables included in the analysis. Visual inspection of the funnel plots indicated no potential publication bias for the outcomes general GI concerns and abdominal pain. The funnel plots for constipation and diarrhea suggested potential publication bias. However, for both of these outcomes, the failsafe N analysis indicated that there would need to be at least 140 and 230 published 876

studies, respectively, with nonsignificant findings related to each of the outcomes to change the current ES to nonsignificant. Additionally, Duval and Tweedie’s trim and fill method suggested only imputing 2 missing studies for the outcomes constipation and diarrhea. Imputing the 2 studies did not significantly change the ES or the conclusion. The failsafe N was 282 for general GI concerns and 25 for abdominal pain. This evidence lends credence to the robustness of our findings.

DISCUSSION This meta-analysis represents the first rigorous evaluation of evidence regarding GI symptoms in children with ASD, quantifying the past 32 years of research by using standardized data collection, strict inclusion criteria, and multiple statistical tools to ensure the most accurate assessment of current knowledge on this topic, and it involved a total of 15 studies on 2215 children with ASD. The results indicate greater

At a minimum, these results reinforce expert consensus5 that parents and health care providers should be educated about possible GI symptoms and pathophysiology in children with ASD, and children suspected of having possible GI disorders should be screened accordingly. In addition, the magnitude of the observed association combined with difficulties identifying and studying GI dysfunction in ASD warrants the adoption of a lower referral threshold by practitioners for evaluation and treatment by a gastroenterologist if an underlying problem is suspected. Children with ASD often present with limited verbal communication, and as a result, their symptom presentation may be unusual compared with that of their peers.5 For example, the emergence or exacerbation of problem behaviors, such as aggression, self-injury, sleep disturbance, or irritability, without clear environmental influence (ie, antecedents or consequences), may be the only indication of an underlying GI problem.44 Unfortunately, lack of evidence in this area has prevented the development of evidenced-based guidelines to help physicians navigate the diagnostic and early intervention process.45 This

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X — — — — X —

X —



— —

— — — X —

— X

X X — — — — — — X

— — X — X —

— —

X

— X

— — — — —

X —

— X X X — — — X —

— — — — — — X — — — — —

X X X X X X — — —

— X

X —

— X X —

Gondalia et al43

X —

Black et al33

X X — X X —

X X X X X X X — —

X —

— — — — —

— X



X —

X —

Horvath & Perman40

— — — — X —

X X X X — — X — —

— X

— — — X —

— —



X —

— X

Ibrahim et al37

— — — — X —

— X X X — — — — —

X —

— — — — X

— —

X

— —

X —

Kazek et al51

— — — — — X

X — — — — — — — X

— X

— — — X —

— —

X

— —

— X

Mouridsen et al38

X, study characteristic or variable reported in study; —, study characteristic or variable not reported in study. a Subheadings may not add up to 100% because multiple groups were used in a study.

Data collection Prospective Existing data set or retrospective chart review Recruitment setting Community wide Diagnostic clinic or developmental center Hospital or medical center ASD diagnostic indicatora Parent report Clinical provider or diagnostic criteria CARS ADOS ADI-R Chart review Not specified GI diagnostic tools Questionnaire Chart review GI symptoms assesseda General GI concerns Diarrhea Constipation Abdominal pain Food allergies Stool concerns Reflux/GER Vomiting Inflammatory bowel disease Flatulence or gas Bloating Food intolerance Burping or belching Other Cognitive functioning or adaptive level

AlAyadhi52

TABLE 2 Description of Experimental Characteristics and Assessment Methods by Study

— — — — X X

— X X — — X — X —

— X

— X X — —

— —



— X

— X

Niehus & Lord39

Study

— — — — — —

X — — — — — — — —

X —

— — — — X

— —



X —

X —

Parracho et al23

— — — — — —

— X — — — — — — —

X —

— — — X —

— —



X —

— X

Sandhu et al34

— — — — — —

— X — — X — — — —

X —

— — — — —

X —



X —

— X

Schieve et al35

X X — — X —

X X X X — X — X —

X —

— X X — —

— X



— X

X —

Smith et al42

— — — — X —

X X X X X — X X —

X —

X — — — —

— X



— X

X —

ValicentiMcDermott et al41

— — X — X X

X X X X — — X — X

X —

— X X — —

— —



X —

— X

Wang et al36

— — — — — —

X — — — — — — — —

X —

X — — — —

— X



— X

X —

Wang et al24

3 2 2 1 9 3

10 12 9 8 4 4 4 4 3

11 4

3 3 3 4 2

1 6

3

8 4

8 7

N

20 13 13 7 60 20

67 80 60 53 27 27 27 27 20

73 27

20 20 20 27 13

7 40

20

53 27

53 46

% of Total Studies (15 Total)

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877

878

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X 88.8 6 —

33

X 50.8 — —

96

Black et al33

X X 394 (88%) 19 (36%)

55 (12%)

— —



Gender Male (%)

Female (%)

b

Longitudinal study. Reported matched for age. c Reported matched for gender.

a





Range

34 (64%)

24–144







SD

— — X X —



— —





— — X — —

58 (24%)

X 184 (76%)





X — — Xa —

242b,c

43b

53

X — — X 49.8

29 (24%)



9 (18%)

X — — — —

X 92 (76%)

— —

X 42 (82%)

121 Xa — — —

412

Ibrahim et al37

X 78 43.2 —

X — — 24–144

51

Gondalia Horvath & et al43 Perman40

Subtype TD DD SB Age (mo) Mean

Gender X X Male 30 (91%) 84 (88%) (%) Female 3 (9%) 12 (13%) (%) Comparison group Sample 33b,c 449 size

ASD group Sample size Age (mo) Mean SD Range

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TABLE 3 Description of Participants

8 (29%)

X 20 (71%)

36– 144



X — — X 93

28

X 97 — 36– 156 X 39 (76%) 12 (24%)

51



— —





X — — — —

336b,c

33 (28%)

X 85 (72%)

Xa — — —

118

Kazek Mouridsen et al51 et al38

12 (50%)

X 12 (50%)





X — — X 113

24b

X 61 (81%) 14 (29%)

X 140.5 — —

75

Niehus & Lord39

10 (17%)

X 48 (83%)

X 84 45 36–192

58

Parracho et al23

X — X X TD: 72; SB: 72 TD: 35; SB: 26 TD: 36–144; SB: 24– 112 X TD: 6 (60%); SB: 7 (58.3%) TD: 4 (40%); SB: 5 (41.7%)

22 (TD: 10; SB: 12)

Study



— —





X — — Xa —

12 905



— —

Xa — — —

78

Sandhu et al34

X TD: 17.458 (48.8); DD: 138 (58.1) TD: 18 317 (51.2); DD: 100 (41.9)

36–204



X X — X —

36 013 (TD: 35 775; DD: 238)

83 (22.1)

X 292 (77.9)

X — — 36–204

375

Schieve et al35

13 (26)

X 37 (74)

X 91.2 43.2 —

50

ValicentiMcDermott et al41



— —

TD: 13 (26); DD: 13 (26)

X TD: 37 (74); DD: 37 (74)

X X X X — — X X TD: 120; TD: 90; DD: 151 DD: 94.8 TD: 38.4; TD: 43.2; DD: 42 DD: 48 — —

147b,c 100b,c (TD: (TD: 50; DD: 50) 112; DD: 35)



— —

X 116.4 44.4 —

51

Smith et al42

106 (TD: 56b; SB: 50)

9 (16)

X 48 (84)

X 82.7 47.7 —

57

Wang et al24

88 (54)

X 75 (46)

TD: 28 (50); SB: 22 (44)

X TD: 28 (50); SB: 28 (56)

— X — — X X X X 106.8 TD: 102; SB: 104 — TD: 47.6; SB: 63.9 12– — 216

163

X 99.6 — 12– 216 X 459 (78) 130 (22)

589

Wang et al36



10 —

5

4

12 3 5 12 8

50 664



12 12

15 10 6 5

2215

Total Sample N



67 —

33

27

80 20 33 80 53





80 80

100 67 40 33



% of Total Studies (15 Total)

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TABLE 4 ESs, 95% Confidence Limits, and Within-Group Tests for Heterogeneity for Studies Included in the Meta-analysis for GI Symptoms GI Symptom

Number of Contributing Studies

Random Effects Model SMD (SE)

Odds Ratio

95% Confidence Limits

P

Lower Upper General GI concerns Diarrhea Constipation Abdominal pain

10 12 9 8

0.91 (0.23) 0.71 (0.19) 0.75 (0.16) 0.49 (0.20)

5.25 3.63 3.86 2.45

2.34 1.82 2.23 1.19

11.75 7.23 6.71 5.07

,.0001 ,.0001 ,.0001 .016

FIGURE 2 Forest plot of general GI concerns with 95% CIs. aOR outside of range.

FIGURE 3 Forest plot of diarrhea with 95% CIs.

includes how to best identify possible subsets of children most at risk and how to modify clinical practice with consideration to the unique combination of behavioral, neurologic, or medical issues in ASD. For example, the

guidelines on managing constipation in ASD are the same as those for assessment and treatment of all constipated children published by the North American Society of Pediatric Gastroenterology, Hepatology, and Nutrition, with added

notes regarding possible modifications based on characteristics of the diagnosis. Modifications mainly underscore the need for greater flexibility when working with children with ASD given common obstacles, such as rejecting medicines “because of the flavor.”45 Findings regarding greater GI symptoms in ASD should be considered in the context of several limitations. The pool of studies included in the current review was small, and only 4 out of 15 possible GI problems met the 6-study threshold for inclusion in the metaanalysis. Insufficient data were available to determine whether GI symptoms often linked with an organic pathology, such as gastroesophageal reflux, gastroenteritis, food allergies, and inflammatory bowel disease, are more common among children with ASD. Questions also remain about the relative contribution of behavioral factors, such as toileting and feeding problems, to the observed association between diarrhea, constipation, and abdominal pain in ASD. Estimates suggest that ∼95% of childhood constipation may be functional, without an underlying physiologic cause,46 and many children with ASD present with nonorganic toileting problems that may precipitate or play a role in the development of constipation, including absent or delayed acquisition of bowel training47 and higher rates of problem behaviors related to changes in toileting routine.48 Fecal retention in ASD may also occur secondary to difficulty with sensory stimuli, sensory processing, and motor problems, leading to altered gastrointestinal motility and defecation physiology.49 It is also possible that elevated rates of constipation may be related to the ubiquity of food selectivity in this population, as the dietary patterns often associated with ASD involve high intake of processed food and lack fibercontaining fruits and vegetables, which provide a natural laxative effect and

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decrease intestinal transit time.50 Thus, the interweaving in children with ASD of behavior, diet, alterations in feeding choices, perceived improvements or decrements in function by parents and caregivers with alterations in diet, all point toward an important and clinically relevant role for broad-based, longitudinal, unbiased studies of feeding patterns, GI symptoms, and behavior. Close appraisal of the available literature also indicates the need for greater methodological rigor. The summarized research was based largely on parent report and medical chart reviews, and no studies included confirmation of GI problemsbyathird-partycareprovidersuchas a physician. Definitions of GI symptoms also varied among included studies. For example, descriptions of diarrhea ranged from simply diarrhea24,33,40,43,51 to persis-

tent diarrhea,42 chronic diarrhea,39,52 frequent diarrhea/colitis,35 and a history of diarrhea.34 One study focused on stool frequency and consistency,41 defined as .4 weeks involving painless passage of $3 large unformed stools per day, and another provided specific definitions of GI symptoms that would lead to this diagnosis (ie, enteritis, colitis, gastroenteritis, or loose stool).37 Studies using chart review or existing databases often had unique operational definitions, which could affect detection or prevalence estimates. In the future, prospective controlled populationbased studies with a physician evaluation and established definitions should be pursued to increase standardization and minimize measurement discrepancies across studies. This will probably necessitate a standardized measure

FIGURE 4 Forest plot of constipation with 95% CIs. aOR outside of range.

focusing on GI issues among children with ASD, because no instruments exist to guide clinical and research activities. Ideally, this instrument would be developed using the methods described in the Food and Drug Administration Guidance53 to serve as an endpoint for randomized clinical trials and comparative effectiveness studies while increasing early detection to support best standards of care. In addition, the use of a toileting diary focusing on stools per day paired with characterization by the descriptive and visual Bristol Stool Scale54 could provide a more detailed, standardized examination of possible GI symptoms, such as diarrhea and constipation. In the absence of reliable and valid assessment, it is difficult to compare the severity of GI symptoms across samples and to develop and evaluate effective interventions. It will also be imperative to better characterize samples using diagnostic measures, such as ADOS21 and ADI,20 that have been standards of best practice in research for more than a decade. Only 40% of identified studies used a standardized assessment to confirm ASD status, which reflects the limitations of our knowledge of GI symptoms and disorders in ASD. The breadth of inquiry should also be expanded to consider possible deviations in the establishment and maintenance of the gut microbiome in ASD

FIGURE 5 Forest plot of abdominal pain with 95% CIs.

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and the relative contribution of early feeding practices to overall gut health and acceptance of new feeding tastes andtextures.StudiesoffecalDNAextracts have found certain bacterial clusters overrepresentedinchildrenwithASDand gastrointestinal complaints compared with children with similar GI complaints but typical neurobehavioral development (see Mulle et al55 for review). Provisional evidence also suggests that children with ASD are at greater risk for suboptimal breastfeeding, including late initiation and shorter duration of exclusive breastfeeding.56,57 In addition to promoting optimal nutrition, breast milk assists in the development of the gastrointestinal tract, pancreas and endocrine system, and related mucosal defenses,58 and it is therefore possible that suboptimal breastfeeding may result in atypical colonization of the gut microbiome in ASD.59 In turn, changes in the gut microbiome may help explain anecdotal reports of improvement in behavioral functioning in response to dietary changes if such changes serve

a probiotic function and improve symptoms of irritable bowel syndrome (eg, bloating, abdominal pain, flatulence) among certain children with ASD.60 Such reports help propagate interest in the use of dietary manipulation (eg, glutenand casein-free diets) as an ASD-focused treatment.55 Dietary interventions, including the gluten- and casein-free diets, nutritional supplements, enzymes, and antimicrobial agents, have not been substantiated by empirical investigation,61 presenting a clear need to investigate how possible deviations in the GI tract in ASD relate to current dietary recommendations being promoted and implemented in the ASD community. It is clear that greater clinical and research scrutiny is needed to increase awareness on this topic and thus support development of the best standards of care. Previous controversy surrounding the MMR vaccine and proposed causal link between ASD and infection of the GI tract probably deterred investigators from dedicating resources to examine GI functioning in this population while

fostering uncertainty in the ASD community regarding thevalidityof this lineof inquiry. Based on the available data, this meta-analysis indicates a greater risk for general GI concerns, constipation, diarrhea, and abdominal pain in ASD; however, conclusions about the nature and etiology of the observed associations are tentative at best. In addition, data on the prevalence of other GI symptoms (eg, gastroesophageal reflux, food allergies) typically associated with organic pathology are insufficient. As a result, the most logical conclusions remain that rates of other GI pathophysiology in ASD are similar to those observed in the general population, and there is no evidencesuggesting auniqueGIpathologyin ASD.5 Additional research is needed to elucidate the etiology, prevalence, topography, and remediation of GI problems in ASD, with consideration of the potential interwoven contributions of factors such as immune abnormalities, mucosal barrier dysfunction, gastrointestinal motility, feeding and toileting concerns, and the gut microbiome.

5. Buie T, Campbell DB, Fuchs GJ III, et al. Evaluation, diagnosis, and treatment of gastrointestinal disorders in individuals with ASDs: a consensus report. Pediatrics. 2010;125(suppl 1):S1–S18 6. RETRACTED: Wakefield AJ, Murch SH, Anthony A, et al. Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. Lancet. 1998; 351(9103):637–641 7. Retraction—Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. Lancet. 2010;375(9713):445 8. Hornig M, Briese T, Buie T, et al. Lack of association between measles virus vaccine and autism with enteropathy: a case–control study. PLoS ONE. 2008;3(9):e3140 9. Lau NM, Green PH, Taylor AK, et al. Markers of celiac disease and gluten sensitivity in children with autism. PLoS ONE. 2013;8(6): e66155

10. Williams BL, Hornig M, Buie T, et al. Impaired carbohydrate digestion and transport and mucosal dysbiosis in the intestines of children with autism and gastrointestinal disturbances. PLoS ONE. 2011;6(9):e24585 doi:10.1371/journal.pone. 0024585 11. Campbell DB, Li C, Sutcliffe JS, Persico AM, Levitt P. Genetic evidence implicating multiple genes in the MET receptor tyrosine kinase pathway in autism spectrum disorder. Autism Res. 2008;1(3):159–168 12. Sharp WG, Berry RC, McCracken C, et al. Feeding problems and nutrient intake in children with autism spectrum disorders: a meta-analysis and comprehensive review of the literature. J Autism Dev Disord. 2013; 43(9):2159–2173 13. Ledford JR, Gast DL. Feeding problems in children with autism spectrum disorders: a review. Focus Autism Other Dev Disabl. 2006;21(3):153–166

REFERENCES 1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington, DC: American Psychiatric Publishing; 2013 2. Centers for Disease Control and Prevention. Prevalence of autism spectrum disorders: autism and developmental disabilities monitoring network, 14 sites, United States, 2008. MMWR Surveill Summ. 2012;61(SS03):1–19. Available at: www.cdc.gov/ncbddd/autism/ documents/ADDM-2012-Community-Report.pdf 3. Croen LA, Najjar DV, Ray GT, Lotspeich L, Bernal P. A comparison of health care utilization and costs of children with and without autism spectrum disorders in a large group-model health plan. Pediatrics. 2006;118(4). Available at: www.pediatrics.org/cgi/content/full/118/4/e1203 4. Fletcher PC, Markoulakis R, Bryden PJ. The costs of caring for a child with an autism spectrum disorder. Issues Compr Pediatr Nurs. 2012;35(1):45–69

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14. Hediger ML, England LJ, Molloy CA, Yu KF, Manning-Courtney P, Mills JL. Reduced bone cortical thickness in boys with autism or autism spectrum disorder. J Autism Dev Disord. 2008;38(5):848–856 15. Egan AM, Dreyer ML, Odar CC, Beckwith M, Garrison CB. Obesity in young children with autism spectrum disorders: prevalence and associated factors. Child Obes. 2013; doi:10.1089/chi.2012.0028 16. Erickson CA, Stigler KA, Corkins MR, Posey DJ, Fitzgerald JF, McDougle CJ. Gastrointestinal factors in autistic disorder: a critical review. J Autism Dev Disord. 2005;35(6): 713–727 17. Gorrindo P, Williams KC, Lee EB, Walker LS, McGrew SG, Levitt P. Gastrointestinal dysfunction in autism: parental report, clinical evaluation, and associated factors. Autism Res. 2012;5(2):101–108 18. Adams JB, Johansen LJ, Powell LD, Quig D, Rubin RA. Gastrointestinal flora and gastrointestinal status in children with autism: comparisons to typical children and correlation with autism severity. BMC Gastroenterol. 2011;11:22 doi:10.1186/1471-230X11-22 19. Schopler ER, Reichlet RJ, Renner BR. The Childhood Autism Rating Scale. Los Angeles, CA: Western Psychological Services; 1988 20. Lord C, Rutter M, Le Couteur A. Autism Diagnostic Interview–Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. J Autism Dev Disord. 1994;24(5):659–685 21. Lord C, Risi S, Lambrecht L, et al. The Autism Diagnostic Observation Schedule–Generic: a standard measure of social and communication deficits associated with the spectrum of autism. J Autism Dev Disord. 2000;30(3):205–223 22. Campbell JM. Efficacy of behavioral interventions for reducing problem behavior in persons with autism: a quantitative synthesis of single-subject research. Res Dev Disabil. 2003;24(2):120–138 23. Parracho HM, Bingham MO, Gibson GR, McCartney AL. Differences between the gut microflora of children with autistic spectrum disorders and that of healthy children. J Med Microbiol. 2005;54(pt 10):987–991 24. Wang L, Angley MT, Gerber JP, et al. Is urinary indolyl-3-acryloylglycine a biomarker for autism with gastrointestinal symptoms? Biomarkers. 2009;14(8):596–603 25. Fu R, Gartlehner G, Grant M, et al. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the Effective Health Care Program. J Clin Epidemiol. 2011;64(11):1187–1197

882

26. Higgins J. Cochrane Handbook for Systematic Reviews of Interventions. Available at: www.cochrane.org/resources/handbook/. Accessed July 16, 2013 27. Borenstein M, Hedges L, Higgins J, Rothstein H. Comprehensive Meta-Analysis. 2nd ed. Englewood, NJ: Biostat; 2005 28. Hunter JE, Schmidt FL. Methods of MetaAnalysis: Correcting Error and Bias in Research Findings. 2nd ed. Thousand Oaks, CA: Sage; 2004 29. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Mahwah, NJ: Lawrence Erlbaum Associates; 1988 30. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315 (7109):629–634 [Clin Res Ed] 31. Becker BJ. Failsafe N or file-drawer number. In: Rothstein HP, Sutton AJ, Borenstein M, eds. Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments. Chichester, West Sussex, England: John Wiley & Sons; 2005:111–125 32. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in metaanalysis. Biometrics. 2000;56(2):455–463 33. Black C, Kaye JA, Jick H. Relation of childhood gastrointestinal disorders to autism: nested case–control study using data from the UK General Practice Research Database. BMJ. 2002;325(7361):419–421 34. Sandhu B, Steer C, Golding J, Emond A. The early stool patterns of young children with autistic spectrum disorder. Arch Dis Child. 2009;94(7):497–500 35. Schieve LA, Gonzalez V, Boulet SL, et al. Concurrent medical conditions and health care use and needs among children with learning and behavioral developmental disabilities, National Health Interview Survey, 2006–2010. Res Dev Disabil. 2012;33(2):467–476 36. Wang L, Christophersen CT, Sorich MJ, Gerber JP, Angley MT, Conlon MA. Elevated fecal short chain fatty acid and ammonia concentrations in children with autism spectrum disorder. Dig Dis Sci. 2012;57(8):2096–2102 37. Ibrahim SH, Voigt RG, Katusic SK, Weaver AL, Barbaresi WJ. Incidence of gastrointestinal symptoms in children with autism: a population-based study. Pediatrics. 2009;124 (2):680–686 38. Mouridsen SE, Rich B, Isager T. A longitudinal study of gastrointestinal diseases in individuals diagnosed with infantile autism as children. Child Care Health Dev. 2010;36(3):437–443 39. Niehus R, Lord C. Early medical history of children with autism spectrum disorders. J Dev Behav Pediatr. 2006;27(2 suppl):S120– S127

40. Horvath K, Perman JA. Autism and gastrointestinal symptoms. Curr Gastroenterol Rep. 2002;4(3):251–258 41. Valicenti-McDermott M, McVicar K, Rapin I, Wershil BK, Cohen H, Shinnar S. Frequency of gastrointestinal symptoms in children with autistic spectrum disorders and association with family history of autoimmune disease. J Dev Behav Pediatr. 2006;27 (2 suppl):S128–S136 42. Smith RA, Farnworth H, Wright B, Allgar V. Are there more bowel symptoms in children with autism compared to normal children and children with other developmental and neurological disorders? A case control study. Autism. 2009;13(4):343–355 43. Gondalia SV, Palombo EA, Knowles SR, Cox SB, Meyer D, Austin DW. Molecular characterisation of gastrointestinal microbiota of children with autism (with and without gastrointestinal dysfunction) and their neurotypical siblings. Autism Res. 2012;5 (6):419–427 44. Maenner MJ, Arneson CL, Levy SE, Kirby RS, Nicholas JS, Durkin MS. Brief report: association between behavioral features and gastrointestinal problems among children with autism spectrum disorder. J Autism Dev Disord. 2012;42(7):1520–1525 45. Furuta GT, Williams K, Kooros K, et al. Management of constipation in children and adolescents with autism spectrum disorders. Pediatrics. 2012;130(suppl 2): S98–S105 doi:10.1542/peds.2012-0900H 46. Pashankar DS. Childhood constipation: evaluation and management. Clin Colon Rectal Surg. 2005;18(2):120–127 47. Whiteley P. Developmental, behavioural and somatic factors in pervasive developmental disorders: preliminary analysis. Child Care Health Dev. 2004;30(1):5–11 48. D’Cruz AM, Ragozzino ME, Mosconi MW, Shrestha S, Cook EH, Sweeney JA. Reduced behavioral flexibility in autism spectrum disorders. Neuropsychology. 2013;27(2): 152–160 doi:10.1037/a0031721 49. Peeters B, Noens I, Philips EM, Kuppens S, Benninga MA. Autism spectrum disorders in children with functional defecation disorders. J Pediatr. 2013;163(3):873–878 50. Eswaran S, Muir J, Chey WD. Fiber and functional gastrointestinal disorders. Am J Gastroenterol. 2013;108(5):718–727 51. Kazek B, Huzarska M, Grzybowska-Chlebowczyk U, et al. Platelet and intestinal 5-HT2A receptor mRNA in autistic spectrum disorders: results of a pilot study. Acta Neurobiol Exp (Warsz). 2010;70(2):232–238 52. Al-Ayadhi LY. Gluten sensitivity in autistic children in Central Saudi Arabia. Neurosciences (Riyadh). 2006;11(1):11–14

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Downloaded from pediatrics.aappublications.org at Ryerson Polytechnical on May 29, 2014

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53. US Department of Health and Human Services (USDHHS). Guidance for industry. Patient-reported outcome measures: use in medical product development to support labeling claims. 2009 Available at: www.fda.gov/downloads/Drugs/ GuidanceComplianceRegulatory Information/ Guidances/UCM193282.pdf. Accessed January 30, 2014 54. Lewis SJ, Heaton KW. Stool form scale as a useful guide to intestinal transit time. Scand J Gastroenterol. 1997;32(9):920– 924 55. Mulle JG, Sharp WG, Cubells JF. The gut microbiome: a new frontier in autism research. Curr Psychiatry Rep. 2013;15(2):337

56. Al-Farsi YM, Al-Sharbati MM, Waly MI, et al. Effect of suboptimal breast-feeding on occurrence of autism: a case–control study. Nutrition. 2012;28(7–8):e27–e32 57. Schultz ST, Klonoff-Cohen HS, Wingard DL, et al. Breastfeeding, infant formula supplementation, and autistic disorder: the results of a parent survey. Int Breastfeed J. 2006;1:16 58. Le Huërou-Luron I, Blat S, Boudry G. Breastv. formula-feeding: impacts on the digestive tract and immediate and long-term health effects. Nutr Res Rev. 2010;23(1):23–36 59. Martín R, Heilig GH, Zoetendal EG, Smidt H, Rodríguez JM. Diversity of the Lactobacillus

group in breast milk and vagina of healthy women and potential role in the colonization of the infant gut. J Appl Microbiol. 2007;103(6):2638–2644 60. Critchfield JW, van Hemert S, Ash M, Mulder L, Ashwood P. The potential role of probiotics in the management of childhood autism spectrum disorders. Gastroenterol Res Pract. 2011;2011:161358. doi: 10.1155/2011/161358 61. Elder JH, Shankar M, Shuster J, Theriaque D, Burns S, Sherrill L. The gluten-free, casein-free diet in autism: results of a preliminary double blind clinical trial. J Autism Dev Disord. 2006;36(3):413–420

ROUNDER IS BETTER: Last week as I write this, we had yet another ice storm. While friends kept reminding me that the storm was not as bad as the one in 1998, we still had almost an inch of ice on our roof, porch, deck, and trees. Because the temperature then dropped precipitously, the ice persisted for days. The house groaned and creaked, and I was incredibly worried that the roof would not survive. Fortunately, the house did survive unscathed, but at least one neighbor of mine never even worried about damage for a minute. He is the only person in the area to live in a domed house. As reported on CNBC (Real Estate: December 29, 2013), dome homes are incredibly strong. The shape allows the home to be self-supporting and strong enough to withstand severe tornadoes, hurricanes, and earthquakes. Domes made of concrete can withstand the impact of debris from other buildings or flying, uprooted trees. An additional benefit is that the roof almost never blows off. Advocates liken dome homes to an egg: the curvature makes them quite strong and the most disaster proof home that can be built. Movies can be viewed on the web showing a domed home surviving a tornado while the conventional homes in the immediate vicinity are obliterated. So, if severe weather has become much more common and domed homes seem to survive them better, why aren’t more built? It isn’t because of the cost. While they may be slightly more expensive to build, their energy efficiency more than makes up for that quite quickly. The biggest issue is that people do not like the looks of them and cannot imagine themselves living in a domed home. Even residents of areas hard hit by tornadoes tend to scoff at the notion of domed homes, preferring to rebuild their classic vision of an American home. As for my wife and me, we do not live in an area particularly prone to natural disasters. However, if we get too many more ice storms, I may have to reconsider our house design. Noted by WVR, MD

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Gastrointestinal Symptoms in Autism Spectrum Disorder: A Meta-analysis Barbara O. McElhanon, Courtney McCracken, Saul Karpen and William G. Sharp Pediatrics 2014;133;872; originally published online April 28, 2014; DOI: 10.1542/peds.2013-3995 Updated Information & Services

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Gastrointestinal symptoms in autism spectrum disorder: a meta-analysis.

In pediatric settings, parents often raise concerns about possible gastrointestinal (GI) symptoms in autism spectrum disorder (ASD), yet the specifici...
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