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Table 2 Binary logistic regression model predicting polyglobulia in 31 individuals

From: Polyglobulia in patients with hemangioblastomas is related to tumor size but not to serum erythropoietin

Variable

Univariate OR (95% CI); P

Multivariate OR (95% CI); P

Tumour volume, cm3

2.275 (1.21–4.28); 0.011

2.221 (1.04–4.74); 0.039

Presence of associated cyst Cyst versus no cyst

0.489 (0.06–3.44); 0.472

0.166 (0.01–54.7); 0.544

EPO level, mU/ml

0.982 (0.91–1.05); 0.602

0.987 (0.81–1.19); 0.892

VHL mutation

 Non-truncating versus truncating

7.180 E8 (0.00–0.00); 0.999

5.4 E7 (0.00–0.00); 0.999

 Miscellaneous versus truncating

1.469 E8 (0.00–0.00); 0.999

7.1 E6 (0.00–0.00); 0.999

Concomitant renal cell carcinoma (RCC) RCC versus no RCC

0.472 (0.05–4.88); 0.529

2.790 (0.01–436.9); 0.691

  1. Table shows results for binary logistic regression model predicting polyglobulia in 31 individuals for selected variables: tumor volume, presence of cyst, erythropoietin (EPO) level, VHL mutation (truncating versus non-truncating) and renal cell carcinoma (RCC). Tumor volume was a significant parameter predicting polyglobulia. OR indicates Odds ratio; P, p-value and 95% CI, 95% confidence interval