Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/29239
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dc.contributor.authorZoungas S.en
dc.contributor.authorPease A.en
dc.contributor.authorLo C.en
dc.contributor.authorEarnest A.en
dc.contributor.authorKiriakova V.en
dc.contributor.authorLiew D.en
dc.date.accessioned2021-05-14T09:52:23Zen
dc.date.available2021-05-14T09:52:23Zen
dc.date.copyright2020en
dc.date.created20200526en
dc.date.issued2020-05-26en
dc.identifier.citationDiabetes Technology and Therapeutics. 22 (5) (pp 411-421), 2020. Date of Publication: 01 May 2020.en
dc.identifier.issn1520-9156en
dc.identifier.urihttps://repository.monashhealth.org/monashhealthjspui/handle/1/29239en
dc.description.abstractBackground: Existing technologies for type 1 diabetes have not been compared against the full range of alternative devices. Multiple metrics of glycemia and patient-reported outcomes for evaluating technologies also require consideration. We thus conducted a systematic review, network meta-analysis, and narrative synthesis to compare the relative efficacy of available technologies for the management of type 1 diabetes. Method(s): We searched MEDLINE, MEDLINE In-Process and other nonindexed citations, EMBASE, PubMed, All Evidence-Based Medicine Reviews, Web of Science, PsycINFO, CINAHL, and PROSPERO (inception - April 24, 2019). We included RCT >=6 weeks duration comparing technologies for type 1 diabetes management among nonpregnant adults (>18 years of age). Data were extracted using a predefined tool. Primary outcomes were A1c (%), hypoglycemia rates, and quality of life (QoL). We estimated mean difference for A1c and nonsevere hypoglycemia, rate ratio for severe hypoglycemia, and standardized mean difference for QoL in network meta-analysis with random effects. Result(s): We identified 16,772 publications, of which 52 eligible studies compared 12 diabetes management technologies comprising 3,975 participants in network meta-analysis. Integrated insulin pump and continuous glucose monitoring (CGM) systems with low-glucose suspend or hybrid closed-loop algorithms resulted in A1c levels 0.96% (predictive interval [95% PrI] 0.04-1.89) and 0.87% (95% PrI 0.12-1.63) lower than multiple daily injections with either flash glucose monitoring or capillary glucose testing, respectively. In addition, integrated systems had the best ranking for A1c reduction utilizing the surface under the cumulative ranking curve (SUCRA-96.4). While treatment effects were nonsignificant for many technology comparisons regarding severe hypoglycemia and QoL, simultaneous evaluation of outcomes in cluster analyses as well as narrative synthesis appeared to favor integrated insulin pump and continuous glucose monitors. Overall risk of bias was moderate-high. Certainty of evidence was very low. Conclusion(s): Integrated insulin pump and CGM systems with low-glucose suspend or hybrid closed-loop capability appeared best for A1c reduction, composite ranking for A1c and severe hypoglycemia, and possibly QoL. Registration: PROSPERO, number CRD42017077221.© Copyright 2020, Mary Ann Liebert, Inc., publishers 2020.en
dc.languageEnglishen
dc.languageenen
dc.publisherMary Ann Liebert Inc. (E-mail: info@liebertpub.com)en
dc.relation.ispartofDiabetes Technology and Therapeuticsen
dc.subject.meshdisease duration-
dc.subject.meshhemoglobin blood level-
dc.subject.meshhypoglycemia-
dc.subject.meshinsulin dependent diabetes mellitus-
dc.subject.meshmedical technology-
dc.subject.meshquality of life-
dc.subject.meshtherapy effect-
dc.subject.meshhemoglobin A1c-
dc.subject.meshinsulin pump-
dc.subject.meshblood glucose monitoring-
dc.titleThe Efficacy of Technology in Type 1 Diabetes: A Systematic Review, Network Meta-analysis, and Narrative Synthesis.en
dc.typeArticleen
dc.type.studyortrialSystematic review and/or meta-analysis-
dc.identifier.doihttp://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1089/dia.2019.0417-
dc.publisher.placeUnited Statesen
dc.identifier.pubmedid31904262 [http://www.ncbi.nlm.nih.gov/pubmed/?term=31904262]en
dc.identifier.source631739389en
dc.identifier.institution(Pease, Lo, Earnest, Liew, Zoungas) School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Road, Melbourne 3004, Australia (Pease, Lo, Kiriakova, Zoungas) Monash Health, Melbourne, Australia (Liew, Zoungas) Alfred Health, Melbourne, Australiaen
dc.description.addressS. Zoungas, School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Road, Melbourne 3004, Australia. E-mail: sophia.zoungas@monash.eduen
dc.description.publicationstatusEmbaseen
dc.rights.statementCopyright 2020 Elsevier B.V., All rights reserved.en
dc.subect.keywordsBolus advisors Continuous glucose monitoring Flash glucose monitoring Insulin pumps Network meta-analysis Type 1 diabetesen
dc.identifier.authoremailZoungas S.; sophia.zoungas@monash.eduen
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
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