Prevalence and factors for food allergy in different populations from different regions: A protocol for a systematic review and meta-analysis
To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions. The literature search will be conducted via Pubmed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Vip and Wanfan...
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| Veröffentlicht in: | PloS one 2021-12, Vol.16 (12), p.e0261092-e0261092 |
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| creator | Feng, Hua Xiong, Xiujuan Chen, Zhuo Xu, Qunying Zhang, Zhongwei Feng, Jiangao Wu, Yongning |
| description | To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions.
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 |
| doi_str_mv | 10.1371/journal.pone.0261092 |
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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.
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.
OSF registration number: 10.17605/OSF.IO/VQXU9.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0261092</identifier><identifier>PMID: 34905577</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Allergens ; Allergies ; Bias ; Biology and Life Sciences ; China - epidemiology ; Confidence intervals ; Diagnosis ; Distribution ; Earth Sciences ; Ecology and Environmental Sciences ; Ethnicity ; Food ; Food allergies ; Food allergy ; Food hypersensitivity ; Food Hypersensitivity - epidemiology ; Food safety ; Food science ; Health risks ; Heterogeneity ; Humans ; Laboratories ; Medicine and Health Sciences ; Meta-analysis ; Meta-Analysis as Topic ; Physical Sciences ; Poisoning ; Populations ; Prevalence ; Public health ; Registration ; Research and Analysis Methods ; Research Design ; Risk assessment ; Science Policy ; Sensitivity analysis ; Statistical analysis ; Study Protocol ; Subgroups ; Systematic review ; Systematic Reviews as Topic</subject><ispartof>PloS one, 2021-12, Vol.16 (12), p.e0261092-e0261092</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Feng et al 2021 Feng et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c641t-c561ab75d9d05c5a4815219376b824b8da5d739694d1fc65f0bd2d14a8072ea73</cites><orcidid>0000-0003-1549-1722</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670707/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670707/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34905577$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Xie, Linglin</contributor><creatorcontrib>Feng, Hua</creatorcontrib><creatorcontrib>Xiong, Xiujuan</creatorcontrib><creatorcontrib>Chen, Zhuo</creatorcontrib><creatorcontrib>Xu, Qunying</creatorcontrib><creatorcontrib>Zhang, Zhongwei</creatorcontrib><creatorcontrib>Feng, Jiangao</creatorcontrib><creatorcontrib>Wu, Yongning</creatorcontrib><title>Prevalence and factors for food allergy in different populations from different regions: A protocol for a systematic review and meta-analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions.
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.
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.
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Qunying</au><au>Zhang, Zhongwei</au><au>Feng, Jiangao</au><au>Wu, Yongning</au><au>Xie, Linglin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and factors for food allergy in different populations from different regions: A protocol for a systematic review and meta-analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-12-14</date><risdate>2021</risdate><volume>16</volume><issue>12</issue><spage>e0261092</spage><epage>e0261092</epage><pages>e0261092-e0261092</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions.
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.
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.
OSF registration number: 10.17605/OSF.IO/VQXU9.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34905577</pmid><doi>10.1371/journal.pone.0261092</doi><tpages>e0261092</tpages><orcidid>https://orcid.org/0000-0003-1549-1722</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Allergens Allergies Bias Biology and Life Sciences China - epidemiology Confidence intervals Diagnosis Distribution Earth Sciences Ecology and Environmental Sciences Ethnicity Food Food allergies Food allergy Food hypersensitivity Food Hypersensitivity - epidemiology Food safety Food science Health risks Heterogeneity Humans Laboratories Medicine and Health Sciences Meta-analysis Meta-Analysis as Topic Physical Sciences Poisoning Populations Prevalence Public health Registration Research and Analysis Methods Research Design Risk assessment Science Policy Sensitivity analysis Statistical analysis Study Protocol Subgroups Systematic review Systematic Reviews as Topic |
| title | Prevalence and factors for food allergy in different populations from different regions: A protocol for a systematic review and meta-analysis |
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