2016
DOI: 10.1002/bdra.23475
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Congenital anomalies of the kidney and the urinary tract: A murmansk county birth registry study

Abstract: Background

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Cited by 32 publications
(40 citation statements)
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“…There is a potential that PAR is much higher, given that the RR for the association between any diabetes type in the mother and CAKUT is estimated to be at least 50% higher and the prevalence of women with any diabetes at pregnancy will automatically be higher than the prevalence of gestational diabetes only. Fourteen studies 5,[24][25][26][27][28][29]33,35,37,41,[44][45][46] that compare CAKUT in offspring of mothers with any diabetes type and CAKUT in mothers with no diabetes are summarized here. The summary measure of association is RR, 1.51 (95% confidence interval [CI], 1.36-1.67).…”
Section: Discussionmentioning
confidence: 99%
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“…There is a potential that PAR is much higher, given that the RR for the association between any diabetes type in the mother and CAKUT is estimated to be at least 50% higher and the prevalence of women with any diabetes at pregnancy will automatically be higher than the prevalence of gestational diabetes only. Fourteen studies 5,[24][25][26][27][28][29]33,35,37,41,[44][45][46] that compare CAKUT in offspring of mothers with any diabetes type and CAKUT in mothers with no diabetes are summarized here. The summary measure of association is RR, 1.51 (95% confidence interval [CI], 1.36-1.67).…”
Section: Discussionmentioning
confidence: 99%
“…30 There were 2 population-based case-control studies that included all newborns with CAKUT from the population, and the frequency of mothers with and without diabetes was calculated among children with CAKUT. 32,33 Because these were population based, these 2 studies were included in the meta-analysis. The total number of cases was 17,013 across 13 case-control studies.…”
Section: Assessment Of Included Studiesmentioning
confidence: 99%
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“…To determine the sensitivity of our findings to our design/analytic assumptions, we performed several sensitivity analyses. For our examination of the distribution of bladder health, these were: (1) exclusion of women with known bladder conditions (i.e., current LUTS medications, previous incontinence or bladder surgery, chronic indwelling catheterization, and bladder cancer), as their exact position on the LUTS/interference distribution was assumed, not known based on their untreated LUTS/interference; and women with nonbladder conditions that might contribute to LUTS or interference (i.e., genitourinary cancers besides bladder cancer, prolapse of the uterus, bladder, or rectum, congenital urinary tract abnormalities (a large proportion of which are renal 24,25 ), endometriosis, pelvic inflammatory disease, chronic pelvic pain, vulvodynia, and diabetes); and (2) exclusion of nocturia and nighttime interference from the list of LUTS and interference activities, respectively, as these might be caused by nonbladder-related conditions.…”
Section: Statistical Analysesmentioning
confidence: 99%