Literature DB >> 29435186

Prevalence of celiac disease in patients with Down syndrome: a meta-analysis.

Yang Du1, Ling-Fei Shan1, Zong-Ze Cao1, Jin-Chao Feng1, Yong Cheng1.   

Abstract

BACKGROUND: The association between Down syndrome and celiac disease has been reported by many studies. However, the prevalence of celiac disease (CD) in Down syndrome (DS) varies considerably across studies (from 0 % to 19 %). The aim of this study was to use meta-analysis to exam the prevalence of CD in patients with DS.
METHODS: A systematic search of English articles from Pubmed, Web of Science and CNKI without year limitation. Data were extracted by two independent observers and pooled using a random effects model by the Comprehensive Meta-Analysis Version 2 software.
RESULTS: A pooled analysis, based on 31 studies included 4383 individuals, revealed prevalence of biopsy-confirmed CD of 5.8 % (95 % CI = 4.7-7.2 %) in patients with DS. Sub-group analysis showed a slightly higher prevalence of CD in children with DS (6.6 %; 17 studies), than in age mixed samples with both children and adults (5.1 %; 13 studies). In addition, most of the studies included in this meta-analysis were from Europe and America, with the prevalence of celiac disease of 6 % (21 studies) and 5.7 % (6 studies) in DS patients, respectively. Furthermore, meta-regression analysis suggested that proportion of antibody-positive individuals that underwent small intestine biopsy had moderating effect on the outcome of the meta-analysis.
CONCLUSIONS: These results demonstrated that patients (children) with Down syndrome had high prevalence of CD (more than one in twenty). The prevalence is high enough to motivate screening CD in DS children.

Entities:  

Keywords:  Down syndrome; celiac disease; meta-analysis; prevalence

Year:  2017        PMID: 29435186      PMCID: PMC5797057          DOI: 10.18632/oncotarget.23624

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Celiac disease is an autoimmune disorder which affects people who are genetically disposed to it [1]. The disease is characterized by villous atrophy of the small intestine induced by wheat, rye, and barley in the food [2]. Although the prevalence of CD varies between different regions of the world, the average prevalent rate of the disease was reported to be between 0.5 % to 1 % [3, 4]. Compared to the general population, literature has provided evidence that CD is more frequent in patients with some genetic and autoimmunological diseases, these diseases include type 1 diabetes [5, 6], autoimmune thyroid disease [7, 8], autoimmune hepatitis [9] and Down syndrome (DS) [10]. Although the prevalence of CD in those diseases varied substantially among studies, a systematic review with meta-analysis showed that 6 % of patients with type 1 diabetes have biopsy-confirmed celiac disease [11]. In autoimmune thyroid disease, a pooled analysis with 6024 patients found a prevalence of biopsy-verified CD of 1.6 %, and the prevalence of CD was higher in children with autoimmune thyroid disease [12]. Although several studies have demonstrated a high prevalence of CD in patients with DS, both in children and adults, the prevalence of CD in patients with DS has been reported to be varied from 0% to 19% [1, 13–18], this may contribute to the lack of consensus on screening of CD in patients with DS. Therefore, a systematic review and meta-analysis is necessary to address the inconsistent clinical data. The aim of this study was to examine the prevalence of CD in patients with DS with systematic review and meta-analysis. Sub-group and meta-regression analyses were also used to address the between-study heterogeneity found in this meta-analysis. The meta-analytic technique allows data from individual studies to be pooled quantitatively and improve the strength of the clinical data.

RESULTS

The initial search generated 162 records from PubMed, 101 records from Web of Science and 3 records from CNKI. Screening titles and abstracts resulted in identification of 48 papers for full text scrutiny. After reading the full text of the 48 articles, we excluded 17 studies for the following reasons: lacked necessary data (six studies); lacked biopsy data (five studies); studies were case reports (two studies); reported DS prevalence in CD patients (two studies); full text was not English-language (one study); samples were overlapping with another study (one study). Therefore, a total of 31 studies assessing CD prevalence in DS patients were included in this meta-analysis [1, 10, 13–41] (Flowchart see Figure 1).
Figure 1

PRISMA flowchart of the literature search

Main association of CD with DS

Random-effects meta-analysis suggested that the pooled prevalence of CD in DS patients was 5.8% (95% CI = 4.7-7.2 %), extracted from 31 studies encompassing 4383 patients with DS, as shown in Figure 2. However, we noted significant heterogeneity between studies in this meta-analysis (Q30 = 37.544, I2 = 54.426, P < 0.001).
Figure 2

Pooled prevalence of biopsy-verified celiac disease in patients with Down syndrome

Sub-group analysis

To investigate the potential sources that explained the heterogeneity found in this meta-analysis, we first performed sub-group analysis considering age at the CD testing. 17 studies in this meta-analysis analyzed CD prevalence in children with DS, the other 13 studies analyzed CD prevalence both in children and adults with DS, and one study analyzed CD prevalence in adults with DS. Therefore, we performed sub-group analysis based on whether samples were only obtained from children. The meta-analysis found a slightly higher CD prevalence in children with DS (6.6 %; 95% CI: 4.7-9.2 %), than in age mixed samples with both children and adults (5.1 %; 95% CI: 4.0-6.4 %). However, the heterogeneity did not reduce for studies assessing DS prevalence in only children with DS (Q16 = 37.544, I2 = 57.383, P = 0.002), whereas the heterogeneity for studies assessing DS prevalence in both children and adults with DS significantly reduced (Q12 = 17.957, I2 = 33.175, P = 0.117). We next carried out sub-group analysis to test whether regional difference had moderating effect on the outcome of the meta-analysis. 21 studies included in this meta-analysis were from Europe, and the pooled data showed a prevalence of 6 % (95 % CI: 4.6-7.8 %). Similarly, the prevalence of CD in DS patients was 5.7 % (95 % CI: 3.4-9.3 %) in America from 6 studies. In addition, significant heterogeneity was found for studies from Europe (Q20 = 54.727, I2 = 63.455, P < 0.001), whereas no significant heterogeneity was observed for studies from America (Q5 = 8.617, I2 = 41.977, P =0.125).

Meta-regression analysis

Meta-regression analyses were performed to analyze whether the continuous variables affected the observed heterogeneity in this meta-analysis, these variables include sample size, publication year, gender (proportion of male) and proportion of antibody-positive individuals that underwent small intestine biopsy. The results showed that sample size (regression coefficient [SE], −0.0004 [0.0004]; 95% CI, −0.0012 to 0.0004; P = 0.32), publication year (regression coefficient [SE], −0.009 [0.018]; 95% CI, −0.044 to 0.026; P = 0.62) and gender (regression coefficient [SE], −0.031 [0.019]; 95% CI, −0.068 to 0.006; P = 0.11) had no moderating effects on the outcome of the meta-analysis (Figure 3A-3C). However, meta-regression suggested that proportion of antibody-positive individuals that underwent small intestine biopsy positively correlated with the effective size (Figure 3D; regression coefficient [SE], 0.013 [0.006]; 95% CI, 0.0009 to 0.0244; P = 0. 035).
Figure 3

Association between sample size (A), gender (B), publication year (C), proportion of antibody-positive individuals that underwent small intestine biopsy (D) and effective size (Logit prevalent rate). The sizes of the circles are proportional to study weight.

Association between sample size (A), gender (B), publication year (C), proportion of antibody-positive individuals that underwent small intestine biopsy (D) and effective size (Logit prevalent rate). The sizes of the circles are proportional to study weight.

Sensitivity analysis

When in the sensitivity analysis we omitted a study at a time to assess the influence of an individual study on the pooled prevalence of CD in DS, the prevalence ranged from 5.6 % to 6.0 % after removing an individual study, suggesting that that the pooled prevalence in this meta-analysis was not significantly affected by any single study.

Publication bias

Visual inspection the funnel plots suggested presence of publication bias in this meta-analysis (Figure 4A). We used the trim-and-fill procedure to exam the impact of publication bias, and this estimation suggested that eight studies needed to be imputed to generate a symmetric funnel plot. Imputation led to a higher prevalence of CD in patients with DS (Figure 4B), suggesting that the high prevalence of CD in patients with DS observed in this meta-analysis was not caused by publication bias.
Figure 4

Funnel plot examining publication bias in observed (A), observed and imputed (B) studies assessing prevalence of celiac disease in patients with Down syndrome. The plots describe the effective size (Logit prevalent rate) of studies against their precision (inverse of standard error). Blue diamond marker indicates observed pooled effective size, red diamond marker indicates imputed pooled effective size.

Funnel plot examining publication bias in observed (A), observed and imputed (B) studies assessing prevalence of celiac disease in patients with Down syndrome. The plots describe the effective size (Logit prevalent rate) of studies against their precision (inverse of standard error). Blue diamond marker indicates observed pooled effective size, red diamond marker indicates imputed pooled effective size.

DISCUSSION

To the best of our knowledge, this is the first meta-analysis undertaken to investigate the prevalence of CD in DS patients. In this meta-analysis including more than 4000 children and adults with DS from 31 studies in the literature, 5.8 % DS patients had biopsy verified CD. Through sensitivity analysis, we concluded that no single study significantly influenced the prevalence of CD in DS patients. Although publication bias was found in the studies included in the meta-analysis, results from the trim-and-fill procedure suggested a higher prevalence of CD in DS patients after publication bias has been taken into account. Because the prevalence of CD in DS patients is controversial for more than two decades, due to the inconsistent clinical data from studies, the current study with meta-analytic technique provides strong clinical evidence that at least one in twenty DS patients had CD. In addition to the 31 studies analyzing prevalence of CD in DS patients, we have identified two studies that assessed the occurrence of DS in patients with CD. A nationwide study from Sweden compared the occurrence of DS in 11749 individuals with biopsy-verified CD between 1973-2008 vs 53887 general population, and concluded that CD was associated with a 6.15-fold increased risk of individuals with DS (95 % CI = 5.09-7.43) [42]. Given that the prevalence of CD in general population has been reported to be about 0.5% to 1% [3, 4], the nationwide study further supported the conclusion in this meta-analysis. Consistently, the other study reviewed 190 patients with CD and found an increased incidence of DS in CD compared to the general population [43]. Although the Celiac Disease Guideline Committee of the North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition recommends CD screening in asymptomatic DS children [44], and the American Academy of Pediatrics recommends testing for CD in DS children with CD-related symptoms [45], there are no guidelines for CD screening in children with DS in other regions or countries. The controversy on CD screening in DS children was largely due to the considerably inconsistent prevalent rate of CD in DS. The significance of the current meta-analysis is that we have included sufficient number of studies with large sample size, and concluded a high prevalence of CD in DS, the finding here therefore should motivate screening for CD in patients with DS, especially in Europe, given that most of the studies included in this meta-analysis were from Europe. The mechanism underlying the association between DS and CD is unclear. In general, susceptibility to CD is associated with HLA-DQ2 (A1*0501-B*0201 or A1*0201-B*0202) and HLA-DQ8 (A1*0301-B1*0302), and about 95 % and 5% of patients with CD have these haplotypes, respectively [1, 46]. However, it is known that the distribution of HLA genotypes is similar in patients with DS compared to the general population [47], and the immune-related non-HLA loci has been search as candidate genes in DS that leads to the high comorbidity of CD with DS. In addition, studies have demonstrated that patients with DS had increased pro-inflammatory cytokine levels, these cytokines include tumor necrosis factor-α, IL-1β and interferon-gamma [48-50], and the heightened levels of the cytokines may contribute to the occurrence of CD in DS patients. Nevertheless, future studies are necessary to explore the mechanism underlying the association between CD and DS. This meta-analysis found moderate level of between-study heterogeneity. The strength of this study is that we used sub-group analyses and meta-regressions to address the confounders that explained the heterogeneity. Sub-group analyses showed that the prevalence of CD in children with DS was slightly higher than in mixed samples from both children and adults, and the between-study heterogeneity reduced in studies of mixed samples, but not in children group. In addition, the levels of between-study heterogeneity were reduced in studies from America, whereas significant heterogeneity was still found for studies from Europe. However, another explanation of the lower heterogeneity found in these sub-groups is the lower power that the test for heterogeneity has in meta-analysis with smaller number of studies, especially that only six studies from America were included in this meta-analysis. Furthermore, meta-regression analyses indicated that proportion of antibody-positive individuals that underwent small intestine biopsy had moderating effect on the outcome of the meta-analysis, with percentage of biopsied samples positively correlated with effective size. The result suggested that the actual prevalence of CD in patients with DS is likely to be higher than the pooled prevalence found in this meta-analysis, considering it is reasonable that uniformly perform small intestine biopsies in DS patients with positive serologies would automatically increase the prevalence of biopsy-verified CD. In addition to the lack of uniformly performing small intestine biopsies in serology positive DS patients, one limitation of this meta-analysis is that serologic screening in some studies used older antigliadin antibody (Table 1), and it is now generally considered that antigliadin antibody has a low predictive value for CD, therefore the use of antigliadin antibody for serologic screening in several studies included in this meta-analysis may have led to lower prevalence of CD in patients with DS. In addition, the discovery of tissue transglutaminase as the autoantigen of CD was around year 2000, and it is unclear whether research on screening of CD with tissue transglutaminase antibodies after year 2000 affected the observed prevalence of CD in DS. Another limitation of this study is that we only included English papers for analysis, although we were aware of several non-English papers in the literature, as we were unable to control data and assess study quality for non- English papers. However, the exclusion of the non-English papers is unlikely to affect the high prevalence of CD in DS found in this study, due to the limited number of non-English papers. Indeed, a Portuguese-language article with English-language abstract reported a 5.6 % prevalence of biopsied confirmed CD in DS patients [51], and this is consistent with the pooled prevalence of CD in DS patients found in this meta-analysis. Furthermore, we only included papers from PubMed, Web of Science and CNKI, therefore we can not rule out that potential papers from other databases or unpublished data influence our results. However, as part of this study we performed a publication bias analysis, and it suggested a higher prevalence of CD in DS patients after bias has been taken into account, demonstrating the robustness of our conclusion in this meta-analysis. Finally, we have only identified four studies from continents other than America and Europe, and the pooled prevalence of CD in DS patients is 4.5 % for the four studies, with 6 % in India [19], 3.4 % in Austria [25], 2 % in Saudi Arabia [18] and 3.8 % in Israel [36]. The limited number of studies with small sample sizes in regions other than America and Europe require future studies to verify the findings, and thereby providing better treatment and management of CD in patients with DS globally.
Table 1

Papers included in the meta-analysis on celiac disease prevalence in Down syndrome patients

Study/YearCountrySample SizeGender (% Male)Mean Age (Year)CD PatientsAntibodyBiopsied (%)
Alanay et al. 2005Turkey100566.01 (2-14)0EMA0
Bhat et al. 2013India10056(2-18)6EMA/TTG85.7
Bonamico et al. 2001Italy1202.0050.7(1.25-46)55AGA/EMA84.600
Carlsson et al. 1998Sweden43.0048.85.8 (1-14)8AGA/EMA83.3
Carnicer et al. 2001Spain284.00NA(1-25)18AGA/EMA100
Castro et al. 1993Italy155.0064.56.25 (0.5-16.42)7AGA51.2
Cataldo et al. 2005Italy303.00NA> 110AGA/EMA/TTG55.6
Cerqueira et al. 2010Portugal98.0059.2(1-45)9EMA/TTG100
Csizmadia et al. 2000Netherlands137.00505.3 (1-17.6)11EMA100
Failla et al. 1996Italy57.0050.914.9 (1.7-49)7AGA100
Gale et al. 1997Austrilia59.0050.937 (25-62)2AGA/EMA100
George et al. 1996Netherlands115.0058.85.88AGA/EMA79.1
Gomes et al. 2015Brazil77.00NA5.9710EMA/TTG71.4
Hansson et al. 2005Sweden72.0054.2(1-18)4EMA/TTG84.6
Jansson et al. 1995Sweden65.0046.2(0-18)11AGA/EMA86.4
Kanavin et al. 1988Norway38.0047.9(16-62)2TMA/TGA100
Kolek et al. 2003Czech25.0056(3.1-18)3EMA75
Mackey et al. 2001US93.0061.35.6 (1-22)4EMA80
Pavlovic et al. 2010Serbia82.0056.14.6 (0.67-8.6)0TTG100
Pueschel et al. 1999US105.0057.1(2-28)4AGA/EMA80
Rumbo et al. 2002Argentina56.0060.74.5 (1-17)2AGA/EMA/TTG100%
Saadab et al. 2012Saudi Arabia51.0074.44.69 (0.57-16.64)1TTG100%
Sa´nchez-Albisua et al. 2002Germany76.0048.77.2 (1.4-42)2AGA/EMA33.3
Sciberras et al. 2004Malta122.0047(1-30)2AGA/EMA37.5
Shamaly et al. 2007Israel52.0063.511.5*2AGA/EMA/TTG83.3
Storm et al. 1990Germany78.00NA(1-19)2AGA66.7
Szaflarska-Popławska et al. 2016Poland301.0054.5(1-34)17TTG/DGP74.2
Uibo et al. 2006Estonia134.0045.511 (0.5-45)4AGA/EMA/TTG100
Wouters et al. 2009Netherlands155.0062.67.4 (0.17-19)8EMA/TTG87.5
Zachor et al. 2000US75.0060.5(0.83-30)4AGA/EMA50
Zubillage et al. 1993US73.0064.36.1 (1-14)3AGA/EMA88.9

Abbreviation: CD, Celiac disease; AGA, Antigliadin antibody; EMA, Antiendomysium antibody; TTG, Tissue transglutaminase antibody; DGP, Deamidated gliadin peptide; “*”, median age.

Abbreviation: CD, Celiac disease; AGA, Antigliadin antibody; EMA, Antiendomysium antibody; TTG, Tissue transglutaminase antibody; DGP, Deamidated gliadin peptide; “*”, median age. In conclusion, individuals with DS are at very high risk of CD, and more than one in twenty patients (children) with DS have CD, at least in Europe and America. The high prevalence of CD in DS patients found in this meta-analysis should motivate screening for CD in patients with DS.

MATERIALS AND METHODS

Search strategy and study selection

We searched articles in the databases of PubMed, Web of Science and China National Knowledge Infrastructure (CNKI) for (Celiac disease or Coeliac disease) and Down syndrome published until August 2017. The search was conducted by two independent researchers. Original clinical studies that reported data on prevalence of CD in DS patients were included. Excluded criteria were: (1) no small intestinal biopsy data; (2) samples were overlapping with other studies; (3) studies were case reports; (4) full-text was not English-language publications

Data extraction

We retrieved the data by two independent investigators, data on sample size and biopsy-confirmed CD patients we extracted as primary outcomes for meta-analysis. Data on age, gender (proportion of male), country, publication year, and proportion of antibody-positive individuals that underwent small intestine biopsy were also extracted for potential moderator analyses. It should be noted that all the studies included in this meta-analysis were cross-sectional studies, and the diagnosis of CD was made by villous atrophy in the small intestine. Although we define children are individuals aged between 0-18 year in this study as classified by Pubmed, we can not rule out that some studies included individuals aged between 19-21 years as children, given other definitions of age-groups occur. The study quality was not graded in this meta-analysis, but we chose to discuss several aspects of study qualities in the discussion.

Statistical analysis

We used Comprehensive Meta-Analysis Version 2 software (Biostat Inc., Englewood, NJ, USA) to perform all the statistical analyses. A random-effects model was chosen when conducting the meta-analysis of the prevalence of CD in DS patients. Effective size and 95 % CIs were calculated. Between-study heterogeneity was assessed by I squared (I2), and I2 of 0.25, 0.50 and 0.75 indicate small, moderate and high levels of heterogeneity, respectively [52]. To investigate heterogeneity, we performed sub-group analyses based on age group (children and adult) and continent (Europe, America and others). In addition, meta-regression analyses were carried out to test whether the continuous variables including sample size, publication year, gender (proportion of male) and proportion of antibody-positive individuals that underwent small intestine biopsy had moderating effects on the outcome the meta-analysis. We also used sensitivity analysis by removing one study at a time to assess whether a single study influenced the outcome of the meta-analysis. In addition, publication bias of studies included in this meta-analysis was analyzed by funnel plot. In case of publication bias, we performed the trim-and-fill procedure to estimate an effective size after bias has been taken into account [53]. P < 0.05 was considered statistical significant in this study.
  53 in total

1.  The prevalence of coeliac disease in Down's syndrome in Malta.

Authors:  Chris Sciberras; Cecil Vella; Victor Grech
Journal:  Ann Trop Paediatr       Date:  2004-03

2.  When to screen children with Down syndrome for celiac disease?

Authors:  Momcilo Pavlovic; Nedeljko Radlovic; Zoran Lekovic; Zorica Stojsic; Katja Puleva; Karolina Berenji
Journal:  J Trop Pediatr       Date:  2010-04-13       Impact factor: 1.165

3.  Evaluation of cytokine polymorphisms (TNFalpha, IFNgamma and IL-10) in Down patients with coeliac disease.

Authors:  F Cataldo; L Scola; M Piccione; M Giuffrè; A Crivello; G I Forte; D Lio; G Corsello
Journal:  Dig Liver Dis       Date:  2005-09-22       Impact factor: 4.088

4.  A meta-analysis of peripheral blood nerve growth factor levels in patients with schizophrenia.

Authors:  X-Y Qin; H-T Wu; C Cao; Y P Loh; Y Cheng
Journal:  Mol Psychiatry       Date:  2017-01-10       Impact factor: 15.992

Review 5.  Systematic review with meta-analysis: associations between coeliac disease and type 1 diabetes.

Authors:  P Elfström; J Sundström; J F Ludvigsson
Journal:  Aliment Pharmacol Ther       Date:  2014-10-01       Impact factor: 8.171

6.  Celiac disease in Portuguese children and adults with Down syndrome.

Authors:  Rute M Cerqueira; Cristina M Rocha; Carolina D Fernandes; Manuel R Correia
Journal:  Eur J Gastroenterol Hepatol       Date:  2010-07       Impact factor: 2.566

7.  Celiac disease in children and adolescents with Down syndrome.

Authors:  Renato M Nisihara; Lorete M S Kotze; Shirley R R Utiyama; Nanci P Oliveira; Patrícia T Fiedler; Iara T Messias-Reason
Journal:  J Pediatr (Rio J)       Date:  2005 Sep-Oct       Impact factor: 2.197

8.  Celiac disease screening in 100 Turkish children with Down syndrome.

Authors:  Yasemin Alanay; Koray Boduroğlu; Ergül Tunçbilek
Journal:  Turk J Pediatr       Date:  2005 Apr-Jun       Impact factor: 0.552

9.  Increased pro-inflammatory cytokine production in Down Syndrome children upon stimulation with live influenza A virus.

Authors:  Chantal J M Broers; Reinoud J B J Gemke; Michel E Weijerman; Koen F van der Sluijs; A Marceline van Furth
Journal:  J Clin Immunol       Date:  2011-12-15       Impact factor: 8.317

10.  Screening frequency for celiac disease and autoimmune thyroiditis in children and adolescents with type 1 diabetes mellitus--data from a German/Austrian multicentre survey.

Authors:  Elke E Fröhlich-Reiterer; Sabine Hofer; Stefan Kaspers; Antje Herbst; Olga Kordonouri; Hans-Peter Schwarz; Edith Schober; Matthias Grabert; Reinhard W Holl
Journal:  Pediatr Diabetes       Date:  2008-08-18       Impact factor: 4.866

View more
  7 in total

1.  Associations among co-occurring medical conditions and cognition, language, and behavior in Down syndrome.

Authors:  Emily K Schworer; Ameena Ahmed; Lori Hogenkamp; Shelby Moore; Anna J Esbensen
Journal:  Res Dev Disabil       Date:  2022-04-22

2.  Strength of the association between Turner syndrome and coeliac disease: protocol for a systematic review and meta-analysis.

Authors:  Ghada S M Al-Bluwi; Asma H Alnababteh; Saif Al-Shamsi; Rami H Al-Rifai
Journal:  BMJ Open       Date:  2020-07-06       Impact factor: 2.692

3.  Catatonia in Down syndrome: systematic approach to diagnosis, treatment and outcome assessment based on a case series of seven patients.

Authors:  Judith H Miles; Nicole Takahashi; Julie Muckerman; Kerri P Nowell; Muaid Ithman
Journal:  Neuropsychiatr Dis Treat       Date:  2019-09-20       Impact factor: 2.570

4.  Altered Toll-Like Receptor Signalling in Children with Down Syndrome.

Authors:  Dean Huggard; W J Koay; Lynne Kelly; Fiona McGrane; Emer Ryan; Niamh Lagan; Edna Roche; Joanne Balfe; T Ronan Leahy; Orla Franklin; Ana Moreno-Oliveira; Ashanty M Melo; Derek G Doherty; Eleanor J Molloy
Journal:  Mediators Inflamm       Date:  2019-09-12       Impact factor: 4.711

5.  Prevalence of celiac disease in low and high risk population in Asia-Pacific region: a systematic review and meta-analysis.

Authors:  Sara Ashtari; Hadis Najafimehr; Mohamad Amin Pourhoseingholi; Kamran Rostami; Hamid Asadzadeh-Aghdaei; Mohammad Rostami-Nejad; Mostafa Rezaei Tavirani; Meysam Olfatifar; Govind K Makharia; Mohammad Reza Zali
Journal:  Sci Rep       Date:  2021-01-27       Impact factor: 4.379

6.  Melatonin as an immunomodulator in children with Down syndrome.

Authors:  Dean Huggard; Lynne Kelly; Amy Worrall; Eleanor Gallagher; Lida Fallah; Lucas Lu Yoo; Fiona McGrane; Niamh Lagan; Edna Roche; Joanne Balfe; Derek G Doherty; Eleanor J Molloy
Journal:  Pediatr Res       Date:  2021-08-16       Impact factor: 3.953

Review 7.  Who to screen and how to screen for celiac disease.

Authors:  Prashant Singh; Achintya Dinesh Singh; Vineet Ahuja; Govind K Makharia
Journal:  World J Gastroenterol       Date:  2022-08-28       Impact factor: 5.374

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.