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dc.contributor.authorBlyuss, Oleg
dc.contributor.authorCheung, Ka Yan
dc.contributor.authorChen, Jessica
dc.contributor.authorParr, Callum
dc.contributor.authorPetrou, Loukia
dc.contributor.authorKomarova, Alina
dc.contributor.authorKokina, Maria
dc.contributor.authorLuzan, Polina
dc.contributor.authorPasko, Egor
dc.contributor.authorEremeeva, Alina
dc.contributor.authorPeshko, Dmitrii
dc.contributor.authorEliseev, Vladimir I
dc.contributor.authorPedersen, Sindre Andre
dc.contributor.authorAzad, Meghan B
dc.contributor.authorJarvinen, Kirsi M
dc.contributor.authorPeroni, Diego G
dc.contributor.authorVerhasselt, Valerie
dc.contributor.authorBoyle, Robert J
dc.contributor.authorWarner, John O
dc.contributor.authorSimpson, Melanie Rae
dc.contributor.authorMunblit, Daniel
dc.date.accessioned2020-02-17T14:32:14Z
dc.date.available2020-02-17T14:32:14Z
dc.date.created2019-11-20T14:08:31Z
dc.date.issued2019
dc.identifier.issn2072-6643
dc.identifier.urihttp://hdl.handle.net/11250/2642063
dc.description.abstractA growing number of studies are focusing on the associations between human milk (HM) immunological composition and allergic diseases. This scoping review aims to identify statistical methods applied in the field and highlight pitfalls and unmet needs. A comprehensive literature search in MEDLINE and Embase retrieved 13,607 unique records. Following title/abstract screening, 29 studies met the selection criteria and were included in this review. We found that definitions of colostrum and mature milk varied across the studies. A total of 17 out of 29 (59%) studies collected samples longitudinally, but only 12% of these used serial (longitudinal) analyses. Multivariable analysis was used in 45% of the studies, but statistical approaches to modelling varied largely across the studies. Types of variables included as potential confounding factors differed considerably between models. Discrimination analysis was absent from all studies and only a single study reported classification measures. Outcomes of this scoping review highlight lack of standardization, both in data collection and handling, which remains one of the main challenges in the field. Improved standardization could be obtained by a consensus group of researchers and clinicians that could recommend appropriate methods to be applied in future prospective studies, as well as already existing datasets.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleStatistical approaches in the studies assessing associations between human milk immune composition and allergic diseases: A scoping reviewnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume11nb_NO
dc.source.journalNutrientsnb_NO
dc.source.issue10nb_NO
dc.identifier.doi10.3390/nu11102416
dc.identifier.cristin1749976
dc.description.localcode© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open accessarticle distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,14,30,0
cristin.unitcode1920,14,0,0
cristin.unitcode194,65,20,0
cristin.unitnameNTNU Universitetsbiblioteket
cristin.unitnameLaboratoriemedisinsk klinikk
cristin.unitnameInstitutt for samfunnsmedisin og sykepleie
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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