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Table 4 Univariate and multivariate binary logistic regression analysis of clinicopathological characteristics in predicting high-grade BCa

From: The application value of multi-parameter cystoscope in improving the accuracy of preoperative bladder cancer grading

Variables

Univariate

Multivariate

HR (95% CI)

P value

HR (95% CI)

P value

Tumor diameter (≥ 3 cm vs. < 3 cm)

3.212 (1.982–5.205)

< 0.001

3.056 (1.529–6.110)

0.002

Tumor Site (Multiple walls vs. Single wall)

3.252 (2.073–5.100)

< 0.001

2.927 (1.518–5.642)

0.001

Tumor Pedicled (Non-pedicled vs. Pedicled)

5.400 (3.423–8.518)

< 0.001

4.280 (2.059–8.899)

< 0.001

Tumor morphology

    

 (Seaweed vs. Cauliflower)

0.036 (0.005–0.271)

0.001

0.093 (0.011–0.785)

0.029

 (Flat nipple vs. Cauliflower)

0.821 (0.434–1.555)

0.546

0.514 (0.198–1.339)

0.173

 (Muscus vs. Cauliflower)

0.443 (0.186–1.051)

0.065

0.113 (0.033–0.390)

0.001

 (Mixture vs. Cauliflower)

5.352 (2.600–11.018)

 < 0.001

2.089 (0.811–5.376)

0.127

Cystoscopic biopsy pathology

    

 (High-grade vs. G0)

33.188 (14.081–78.223)

 < 0.001

36.745 (13.385–100.872)

< 0.001

 (Low-grade vs. G0)

1.743 (0.809–3.753)

0.135

2.016 (0.804–5.056)

0.135

 (Low malignant potential vs. G0)

1.281 (0.446–3.686)

0.272

2.089 (0.562–7.766)

0.272

Age (≥ 65 vs. < 65)

2.683 (1.750–4.113)

 < 0.001

1.747 (0.931–3.280)

0.082

Tumor Number (Multiple vs. Single)

3.020 (1.959–4.655)

 < 0.001

1.286 (0.568–2.914)

0.546

Gender (Male vs. Female)

1.345 (0.826–2.190)

0.233

  

Incidence (Recurrent vs. Incipient)

0.787 (0.513–1.206)

0.271

  

Smoking (Yes vs. No)

0.954 (0.592–1.538)

0.848

  
  1. The numbers marked in bold are statistically significant, p < 0.05