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Effectiveness of pelvic floor muscle exercises on muscular dysfunction and specific urinary incontinence of gestation in women with Gestational Diabetes Mellitus or Gestational Hyperglycemia: systematic review and meta-analysis

Grant number: 20/15629-5
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): January 01, 2021
Effective date (End): February 28, 2022
Field of knowledge:Health Sciences - Medicine - Maternal and Child Health
Principal researcher:Marilza Vieira Cunha Rudge
Grantee:Eusebio Mario Amador Enriquez
Home Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
Associated research grant:16/01743-5 - The new gestational triad: hyperglycemia, urinary incontinence (UI) and biomolecular profile as a long-term predictor for UI: a prospective cohort study: translational research with biodevice with stem cells for muscle regeneration in diabetic rats, AP.TEM

Abstract

Evidence indicates that Gestational Diabetes Mellitus (DMG) has a direct influence on Specific Pregnancy Urinary Incontinence (IUEG) and on pelvic floor muscle dysfunction (DMAP). There are no standardized programs for pelvic floor muscle (MAP) exercise in the literature that aim to treat UIUI and DMAP. Objective: to evaluate the effects of MAP exercises on DMAP and IUEG in women with GDM or Gestational Hyperglycemia. Material and method: systematic review carried out according to the Cochrane methodology and written norms from the PRISMA check list. Randomized controlled trials (RCT) will be included. The Pubmed, Lilacs, Embase and Cochrane databases will be consulted until March 2021 with the MeSH descriptors "Pregnancy", "Hyperglycemia", "Diabetes Mellitus Type 2", "Diabetes Mellitus Type 1", "Pregnancy in Diabetics", " Diabetes, Gestational "," Urinary Incontinence ". There will be no language and year of publication of the articles. There will be no language and year restrictions on the publications. Two independent reviewers will track the eligible articles; extract the data and assess the risk of bias. Statistical analysis: for dichotomous data, the relative risk will be calculated, 95% confidence interval (CI). The publication bias will be evaluated with funnel plots and formally evaluated with the Egger test. We will test the heterogeneity with the Cochrane test Ç2 and the degree will be quantified with the I2 statistic.The Review Manager (RevMan) software will be used if possible to plot the meta-analysis. The level of evidence will be assessed using the GRADE system. (AU)