Incidence, prevalence and genetic determinants of neonatal diabetes mellitus: a systematic review and meta-analysis protocol View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Jobert Richie N. Nansseu, Suzanne S. Ngo-Um, Eric V. Balti

ABSTRACT

BACKGROUND: In the absence of existing data, the present review intends to determine the incidence, prevalence and/or genetic determinants of neonatal diabetes mellitus (NDM), with expected contribution to disease characterization. METHODS: We will include cross-sectional, cohort or case-control studies which have reported the incidence, prevalence and/or genetic determinants of NDM between January 01, 2000 and May 31, 2016, published in English or French languages and without any geographical limitation. PubMed and EMBASE will be extensively screened to identify potentially eligible studies, completed by manual search. Two authors will independently screen, select studies, extract data, and assess the risk of bias; disagreements will be resolved by consensus. Clinical heterogeneity will be investigated by examining the design and setting (including geographic region), procedure used for genetic testing, calculation of incidence or prevalence, and outcomes in each study. Studies found to be clinically homogeneous will be pooled together through a random effects meta-analysis. Statistical heterogeneity will be assessed using the chi-square test of homogeneity and quantified using the I 2 statistic. In case of substantial heterogeneity, subgroup analyses will be undertaken. Publication bias will be assessed with funnel plots, complemented with the use of Egger's test of bias. DISCUSSION: This systematic review and meta-analysis is expected to draw a clear picture of phenotypic and genotypic presentations of NDM in order to better understand the condition and adequately address challenges in respect with its management. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016039765. More... »

PAGES

188

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13643-016-0369-3

DOI

http://dx.doi.org/10.1186/s13643-016-0369-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017708976

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27832816


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