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dc.contributor.authorRuiz Nishiki, Milagros
dc.contributor.authorCabecinha, Melissa
dc.contributor.authorKnowles, Rachel
dc.contributor.authorPeters, Catherine
dc.contributor.authorAitkenhead, Helen
dc.contributor.authorIfederu, Adeboye
dc.contributor.authorSchoenmakers, Nadia
dc.contributor.authorSebire, Neil J
dc.contributor.authorWalker, Erin
dc.contributor.authorHardelid, Pia
dc.date.accessioned2022-04-01T14:00:12Z
dc.date.available2022-04-01T14:00:12Z
dc.date.issued2022-03
dc.date.submitted2021-11-05
dc.identifier.issn2399-9772
dc.identifier.otherbmjpo-2021-001341
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/335669
dc.description.abstractINTRODUCTION: There has been an increase in the birth prevalence of congenital hypothyroidism (CH) since the introduction of newborn screening, both globally and in the UK. This increase can be accounted for by an increase in CH with gland in situ (CH-GIS). It is not known why CH-GIS is becoming more common, nor how it affects the health, development and learning of children over the long term. Our study will use linked administrative health, education and clinical data to determine risk factors for CH-GIS and describe long-term health and education outcomes for affected children. METHODS AND ANALYSIS: We will construct a birth cohort study based on linked, administrative data to determine what factors have contributed to the increase in the birth prevalence of CH-GIS in the UK. We will also set up a follow-up study of cases and controls to determine the health and education outcomes of children with and without CH-GIS. We will use logistic/multinomial regression models to establish risk factors for CH-GIS. Changes in the prevalence of risk factors over time will help to explain the increase in birth prevalence of CH-GIS. Multivariable generalised linear models or Cox proportional hazards regression models will be used to assess the association between type of CH and school performance or health outcomes. ETHICS AND DISSEMINATION: This study has been approved by the London Queen Square Research Ethics Committee and the Health Research Authority's Confidentiality Advisory Group CAG. Approvals are also being sought from each data provider. Obtaining approvals from CAG, data providers and information governance bodies have caused considerable delays to the project. Our methods and findings will be published in peer-reviewed journals and presented at academic conferences.
dc.languageen
dc.publisherBMJ
dc.subjectProtocol
dc.subject1506
dc.subjectepidemiology
dc.subjectethics
dc.subjectneonatology
dc.titleEstablishing risk factors and outcomes for congenital hypothyroidism with gland in situ using population-based data linkage methods: study protocol.
dc.typeArticle
dc.date.updated2022-04-01T14:00:11Z
prism.issueIdentifier1
prism.publicationNameBMJ Paediatr Open
prism.volume6
dc.identifier.doi10.17863/CAM.83101
dcterms.dateAccepted2022-03-05
rioxxterms.versionofrecord10.1136/bmjpo-2021-001341
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc/4.0/
rioxxterms.licenseref.startdate2022-03-30
dc.contributor.orcidRuiz Nishiki, Milagros [0000-0003-2265-2889]
dc.contributor.orcidCabecinha, Melissa [0000-0001-6869-4692]
dc.identifier.eissn2399-9772
pubs.funder-project-idWellcome Trust (219496/Z/19/Z)
pubs.funder-project-idNIHR Great Ormond Street Hospital BRC (19PE26)
cam.issuedOnline2022-03-30
rioxxterms.freetoread.startdate2022-03-30
rioxxterms.freetoread.startdate2022-03-30


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