2018
DOI: 10.1038/s41598-018-24485-x
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Mediators of the Effects of Gender on Uric Acid Nephrolithiasis: A Novel Application of Structural Equation Modeling

Abstract: Numerous epidemiological studies have shown that male patients with uric acid nephrolithiasis outnumber female patients. To our knowledge, no research exists evaluating the reasons gender affects the development of uric acid nephrolithiasis. We hereby used a novel application of structural equation modeling to analyze the mediators of the effects of gender on uric acid nephrolithiasis. In 1,098 patients with nephrolithiasis between 2012 and 2016, male gender was found to have a statistically significant positi… Show more

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Cited by 17 publications
(7 citation statements)
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“…A pink urine syndrome cohort confirmed these risk factors for pink urine syndrome 15 . These characteristics, commonly seen with insulin resistance, are also more prevalent in males 12, 16, 17, 18. Of the preceding factors, a low urinary pH shows 100% prevalence in our cohort (Table 1), and is an independent risk factor in all the studies discussed, therefore deserves further evaluation.…”
Section: Case Presentationsupporting
confidence: 69%
“…A pink urine syndrome cohort confirmed these risk factors for pink urine syndrome 15 . These characteristics, commonly seen with insulin resistance, are also more prevalent in males 12, 16, 17, 18. Of the preceding factors, a low urinary pH shows 100% prevalence in our cohort (Table 1), and is an independent risk factor in all the studies discussed, therefore deserves further evaluation.…”
Section: Case Presentationsupporting
confidence: 69%
“…Also, UA is more common in males because males show lower urine pH and lower glomerular filtration rates than females. Another factor could be that female hormones (estrogen) improve the efficiency of the kidneys when UA is removed and keep a lower UA concentration in the blood [ 21 ]. In the struvite and CaP groups, the ratio in females was higher than in males.…”
Section: Discussionmentioning
confidence: 99%
“…This study used a cross-sectional design and structural equation modeling (SEM) to analyze the relationships between the variables 10 related to the patients with kidney stone disease. The model was evaluated using several criteria: value indicating the probability was <0.05 signifi cance, Goodness-of-Fit Index (GFI) greater than 0.90, Comparative-Fit Index (CFI) greater than 0.90, Normed-Fit Index (NFI) greater than 0.90, and Root Mean Square Error of Approximation (RMSEA) less than 0.08 [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] . The conceptual model specifying the relationships between the concepts that are employed in this study (numbered) can be seen in Fig.…”
Section: Structural Equation Modeling (Sem)mentioning
confidence: 99%