scholarly journals Incidence of food anaphylaxis in people with food allergy: a systematic review and meta-analysis

2015 ◽  
Vol 45 (11) ◽  
pp. 1621-1636 ◽  
Author(s):  
T. Umasunthar ◽  
J. Leonardi-Bee ◽  
P. J. Turner ◽  
M. Hodes ◽  
C. Gore ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Allergy ◽  
Meta Analysis ◽  
Food Anaphylaxis

scholarly journals Incidence of fatal food anaphylaxis in people with food allergy: a systematic review and meta‐analysis

2013 ◽  
Vol 43 (12) ◽  
pp. 1333-1341 ◽  
Author(s):  
T. Umasunthar ◽  
J. Leonardi‐Bee ◽  
M. Hodes ◽  
P. J. Turner ◽  
C. Gore ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Allergy ◽  
Meta Analysis ◽  
Food Anaphylaxis

scholarly journals The diagnosis of food allergy: a systematic review and meta-analysis

Allergy ◽  
2013 ◽  
Vol 69 (1) ◽  
pp. 76-86 ◽  
Author(s):  
K. Soares-Weiser ◽  
Y. Takwoingi ◽  
S. S. Panesar ◽  
A. Muraro ◽  
T. Werfel ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Allergy ◽  
Meta Analysis

scholarly journals Prevalence and factors for food allergy in different populations from different regions: A protocol for a systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261092
Author(s):  
Hua Feng ◽  
Xiujuan Xiong ◽  
Zhuo Chen ◽  
Qunying Xu ◽  
Zhongwei Zhang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Allergy ◽  
Publication Bias ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Factors Associated ◽  
Different Populations ◽  
Funnel Plots

Background To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions. Materials and methods The literature search will be conducted via Pubmed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Vip and Wanfang databases. Ratio rate (RR), odds ratio (OR) and 95% confidence intervals (CIs) will be adopted to evaluate prevalence and factors for FA in different populations from different regions. When the heterogeneity is small (I2<50%), the fixed effect model will be analyzed, otherwise, random effects model analysis will be performed. When the heterogeneity is large (I2≥50%), Meta regression will be used to explore the sources of inter-study heterogeneity. When the heterogeneity is large (I2≥50%) and the results are statistically significant (P<0.05), subgroup analysis will be analyzed based on age, gender, race/region, literature quality and other factors. Funnel plots will be used to reflect reporting bias and the Begg’s test will be used to test the symmetry of the funnel plots. When publication bias occurs, “cut-and-fill” method will be adopted to adjust publication bias. And sensitivity analysis will be performed for all outcome indicators. Discussion This meta-analysis will evaluate the prevalence of FA and factors associated with these occurrences in different populations from different regions on the basis of existing evidences. Our study may be crucial to analyze similarities and differences regarding FA between different individuals from diverse regions and eventually define preventive or diagnostic approaches specifically tailored to certain populations and regions. Systematic review registration OSF registration number: 10.17605/OSF.IO/VQXU9

scholarly journals Prevalence and risk factors for food allergy in older people: protocol for a systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e029633 ◽  
Author(s):  
Inês Laia-Dias ◽  
Carlos Lozoya-Ibáñez ◽  
Isabel Skypala ◽  
Jorge M R Gama ◽  
Ulugbek Nurmatov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Food Allergy ◽  
Older People ◽  
Assessment Tool ◽  
Meta Analysis ◽  
Clinical Manifestations ◽  
Cochrane Library ◽  
Older Individuals ◽  
Statistical Heterogeneity

IntroductionStudies suggest that the prevalence of food allergy may be increasing worldwide. Results regarding the prevalence and features of adverse food reactions older people have, however, scarcely been analysed in the literature. Thus, the objective of the present systematic review will be to describe the prevalence of food allergy in older individuals, its risk factors, clinical features, as well as the most frequently and commonly involved foods.Methods and analysisWe will conduct a systematic review and meta-analysis of the incidence, prevalence and risk factors for food allergy in older individuals. We will search international electronic databases including MEDLINE, EMBASE, Cochrane Library, CINAHL, AMED and ISI Web of Science for published, unpublished and ongoing studies from 1980 toJanuary 2019. There will be no restriction on the language or geography of publication. We will use the critical appraisal skills programme quality assessment tool to appraise the methodological quality of included studies. A descriptive summary with data tables will be elaborated, and if deemed clinically relevant and statistically adequate, meta-analysis using random-effects modelling will be carried out, given the expected clinical, methodological and statistical heterogeneity of studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist will guide reporting of the systematic review.Ethics and disseminationSince this systematic review will be solely based on published and retrievable literature, no ethics approval will be obtained. This study will allow us to draw up-to-date estimates of the prevalence of adverse food reactions in older individuals, worldwide, besides allowing the identification of its major risk factors, clinical manifestations and predominant foods responsible for such reactions. A multidisciplinary team has been assembled for this systematic review and will participate in relevant dissemination activities, namely reports, publications and presentations.PROSPERO registration numberCRD42018102140

scholarly journals Age at introduction to complementary solid food and food allergy and sensitization: A systematic review and meta‐analysis

2019 ◽  
Vol 49 (6) ◽  
pp. 754-769 ◽  
Author(s):  
John A. Burgess ◽  
Shyamali C. Dharmage ◽  
Katrina Allen ◽  
Jennifer Koplin ◽  
Vanessa Garcia‐Larsen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Allergy ◽  
Meta Analysis ◽  
Solid Food

scholarly journals Protocol for a systematic review of the diagnostic test accuracy of tests for IgE-mediated food allergy

2021 ◽  
Author(s):  
Jon Genuneit ◽  
Sashini Jayasinghe ◽  
CARMEN RIGGIONI ◽  
Rachel Peters ◽  
Derek Chu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Food Allergy ◽  
Diagnostic Test ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Diagnostic Test Accuracy ◽  
Test Accuracy ◽  
Index Test ◽  
Ige Mediated ◽  
Meta Analyses

Background: The European Academy of Allergy and Clinical Immunology (EAACI) is in the process of updating the guidelines on the diagnosis and management of food allergy. The existing guidelines are based on a systematic review of the literature until 30th September 2012. Therefore, a new systematic review must be undertaken to inform the new guidelines. This systematic review aims to assess the accuracy of index tests to support the diagnosis of IgE-mediated food allergy. Methods: The databases Cochrane CENTRAL (Trials), MEDLINE (OVID) and Embase (OVID) will be searched for diagnostic test accuracy studies from 1st October 2012 to 30th June 2021. Inclusion and exclusion criteria will be used to select appropriate studies. Data from these studies will be extracted and tabulated, and then reviewed for risk of bias and applicability using the QUADAS-2 tool. All evaluation will be done in duplicate. Studies with a high risk of bias and low applicability will be excluded. Meta-analysis will be performed if there are three or more studies of the same index test and food. Results: A protocol for the systematic review and meta-analyses is presented and was registered using Prospero prior to commencing the literature search. Discussion: Oral food challenges are the reference standard for diagnosis but involve considerable risks and resources. This protocol for systematic review aims to assess the accuracy of various tests to diagnose food allergy, which can be useful in both clinical and research settings.

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