Determinants of kidney stones (KS) and calcium oxalate stones (COS) for all 197 subjects, respectively.

<p>OR = odds ratio; CI = confidence intervals.</p

Complications by modified<i>C</i>lavien classification.

*<p>Some cases experienced one or more complications.</p

Demographic and clinical preoperative characteristics.

<p>Demographic and clinical preoperative characteristics.</p

Operative characteristics.

<p>Operative characteristics.</p

Odds ratios (OR) and 95% confidence intervals (CIs) for kidney stones (KS) and calcium oxalate stones (COS) according to tertiles of E2 levels.

<p>^a Reference OR (1.00) is the lowest tertile of E2 level for kidney stones (KS) and calcium oxalate stones (COS). ^b Adjusted factors=Age +AAM + TSM + BMI + WDC + WET +HTN + DM +RA +T</p

Demographic, clinical, and biochemical data.

<p>SD, standard deviation; COS, calcium oxalate stones; NCOS, non-calcium oxalate stones; AAM, age at menopause; TSM, time since menopause ; BMI, body mass index; WDC, water drink consumption; WET, working environment temperature; HTN, hypertension; DM, diabetes mellitus; RA, rural area of life; T, testosterone; E2, estradiol. P-values were determined using the Wilcoxon rank sum test, or the chi-square tests between all patients and controls subjects. Post-hoc analyses were performed for comparison of variables between the following cohorts: COS, NCOS, controls, COS versus NCOS, COS versus controls, and NCOS versus controls, with p-values<0.05 considered significant."* "indicate group is significantly from the control."#" indicate group is significantly from the COS.</p

Spearman’s correlation using estradiol (E2) and testosterone (T) as dependent variables in all 197 subjects.

<p>Spearman’s correlation using estradiol (E2) and testosterone (T) as dependent variables in all 197 subjects.</p

Characteristics of the study population (n =197) per tertile of estradiol.

<p>^{a, b, c} Different superscripts indicate significant differences among groups, p<0.05.</p

Multivariate analysis of overall survival (OS) and cancer-specific survival (CSS) predictors using cox proportional hazard model.

<p>Multivariate analysis of overall survival (OS) and cancer-specific survival (CSS) predictors using cox proportional hazard model.</p

Kaplan-Meier survival curves demonstrating patients’ overall survivals(OS), and cancer-specific survivals (CSS) according to patients’ nephrectomy modalities (partial versus radical) before and after propensity matching.

<p>Kaplan-Meier survival curves demonstrating patients’ overall survivals(OS), and cancer-specific survivals (CSS) according to patients’ nephrectomy modalities (partial versus radical) before and after propensity matching.</p