Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3464
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dc.contributor.authorWright, N,J.-
dc.contributor.authorGlobal PaedSurg Research Collaboration-
dc.contributor.authorTabiri, S.-
dc.date.accessioned2022-03-16T13:21:39Z-
dc.date.available2022-03-16T13:21:39Z-
dc.date.issued2019-
dc.identifier.issn1756-1833-
dc.identifier.urihttp://hdl.handle.net/123456789/3464-
dc.description.abstractIntroduction Congenital anomalies are the fifth leading cause of death in children <5 years of age globally, contributing an estimated half a million deaths per year. Very limited literature exists from low and middle income countries (LMICs) where most of these deaths occur. The Global PaedSurg Research Collaboration aims to undertake the first multicentre, international, prospective cohort study of a selection of common congenital anomalies comparing management and outcomes between low, middle and high income countries (HICs) globally. Methods and analysis The Global PaedSurg Research Collaboration consists of surgeons, paediatricians, anaesthetists and allied healthcare professionals involved in the surgical care of children globally. Collaborators will prospectively collect observational data on consecutive patients presenting for the first time, with one of seven common congenital anomalies (oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation and Hirschsprung's disease). Patient recruitment will be for a minimum of 1 month from October 2018 to April 2019 with a 30-day post- primary intervention follow-up period. Anonymous data will be collected on patient demographics, clinical status, interventions and outcomes using REDCap. Collaborators will complete a survey regarding the resources and facilities for neonatal and paediatric surgery at their centre. The primary outcome is all-cause in-hospital mortality. Secondary outcomes include the occurrence of post- operative complications. Chi-squared analysis will be used to compare mortality between LMICs and HICs. Multilevel, multivariate logistic regression analysis will be undertaken to identify patient-level and hospital-level factors affecting outcomes with adjustment for confounding factors.en_US
dc.language.isoenen_US
dc.publisherBMJ Pub. Groupen_US
dc.relation.ispartofseriesVol. 9;Issue 8-
dc.titleMANAGEMENT AND OUTCOMES OF GASTROINTESTINAL CONGENITAL ANOMALIES IN LOW, MIDDLE AND HIGH INCOME COUNTRIES: PROTOCOL FOR A MULTICENTRE, INTERNATIONAL, PROSPECTIVE COHORT STUDYen_US
dc.typeArticleen_US
Appears in Collections:School of Medicine and Health Sciences



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