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Diet and physical activity in pregnancy to prevent gestational diabetes: a protocol for an individual participant data (IPD) meta-analysis on the differential effects of interventions with economic evaluation.
Coomar, Dyuti; Hazlehurst, Jonathan M; Austin, Frances; Foster, Charlie; Hitman, Graham A; Heslehurst, Nicola; Iliodromiti, Stamatina; Betran, Ana Pilar; Moss, Ngawai; Poston, Lucilla; Nirantharakumar, Krishnarajah; Roberts, Tracy; Simpson, Sharon A; Teede, Helena J; Riley, Richard; Allotey, John; Thangaratinam, Shakila.
Afiliación
  • Coomar D; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Hazlehurst JM; WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK j.m.hazlehurst@bham.ac.uk.
  • Austin F; Maternity Dietetic Service, Women's Health Division, Barts Health NHS Trust, Antenatal Clinic, Royal London Hospital and Newham University Hospital, London, UK.
  • Foster C; Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
  • Hitman GA; Centre for Genomic Medicine and Child Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Heslehurst N; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Iliodromiti S; Centre for Women's Health, Institute of Population Health Sciences, Queen Mary University of London, London, UK.
  • Betran AP; UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, WHO, Geneva, Switzerland.
  • Moss N; Katie's Team Patient and Public Involvement Advisory Group, Queen Mary University of London, London, UK.
  • Poston L; Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
  • Nirantharakumar K; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Roberts T; Health Economics Unit, University of Birmingham, Birmingham, UK.
  • Simpson SA; MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
  • Teede HJ; Monash Centre for Health Research and Implementation, School of Public Health, Monash University, Melbourne, Victoria, Australia.
  • Riley R; Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK.
  • Allotey J; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Thangaratinam S; Pragmatic Clinical Trials Unit, Institute of Population Health Sciences, Barts and the London, School of Medicine and Dentistry, Queen Mary University of London, London, UK.
BMJ Open ; 11(6): e048119, 2021 06 11.
Article en En | MEDLINE | ID: mdl-34117047
INTRODUCTION: Mothers with gestational diabetes mellitus (GDM) are at increased risk of pregnancy-related complications and developing type 2 diabetes after delivery. Diet and physical activity-based interventions may prevent GDM, but variations in populations, interventions and outcomes in primary trials have limited the translation of available evidence into practice. We plan to undertake an individual participant data (IPD) meta-analysis of randomised trials to assess the differential effects and cost-effectiveness of diet and physical activity-based interventions in preventing GDM and its complications. METHODS: The International Weight Management in Pregnancy Collaborative Network database is a living repository of IPD from randomised trials on diet and physical activity in pregnancy identified through a systematic literature search. We shall update our existing search on MEDLINE, Embase, BIOSIS, LILACS, Pascal, Science Citation Index, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects and Health Technology Assessment Database without language restriction to identify relevant trials until March 2021. Primary researchers will be invited to join the Network and share their IPD. Trials including women with GDM at baseline will be excluded. We shall perform a one and two stage random-effect meta-analysis for each intervention type (all interventions, diet-based, physical activity-based and mixed approach) to obtain summary intervention effects on GDM with 95% CIs and summary treatment-covariate interactions. Heterogeneity will be summarised using I2 and tau2 statistics with 95% prediction intervals. Publication and availability bias will be assessed by examining small study effects. Study quality of included trials will be assessed by the Cochrane Risk of Bias tool, and the Grading of Recommendations, Assessment, Development and Evaluations approach will be used to grade the evidence in the results. A model-based economic analysis will be carried out to assess the cost-effectiveness of interventions to prevent GDM and its complications compared with usual care. ETHICS AND DISSEMINATION: Ethics approval is not required. The study is registered on the International Prospective Register of Systematic Reviews (CRD42020212884). Results will be submitted for publication in peer-reviewed journals.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Gestacional / Diabetes Mellitus Tipo 2 Tipo de estudio: Clinical_trials / Guideline / Health_economic_evaluation / Health_technology_assessment / Prognostic_studies / Systematic_reviews Límite: Female / Humans / Pregnancy Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Gestacional / Diabetes Mellitus Tipo 2 Tipo de estudio: Clinical_trials / Guideline / Health_economic_evaluation / Health_technology_assessment / Prognostic_studies / Systematic_reviews Límite: Female / Humans / Pregnancy Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article