ArticleClinical Medicine Insights. Oncology2020
A Diagnostic Nomogram of Pathologic Grade for Preoperative Risk Stratification in Upper Tract Urothelial Carcinoma.
Article in Clinical Medicine Insights. Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Management and Treatment Strategies for Upper Tract Urothelial Carcinoma: Current Insights.Research and reports in urology · 2026Review
- Kidney-sparing approach for upper tract urothelial carcinoma: An update on current evidence.Asian journal of urology · 2025Review
- Upper Tract Urothelial Cancer: Guideline of Guidelines.Cancers · 2024Review
- Upper Tract Urothelial Carcinoma (UTUC) Diagnosis and Risk Stratification: A Comprehensive Review.Cancers · 2023Review
- A Novel Preoperative Prediction Model Based on Deep Learning to Predict Neoplasm T Staging and Grading in Patients with Upper Tract Urothelial Carcinoma.Journal of clinical medicine · 2022Article
- The role of endoscopic management and adjuvant topical therapy for upper tract urothelial cancer.Frontiers in urology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo develop a novel nomogram to improve the preoperative diagnosis of pathological grade of upper tract urothelial carcinoma (UTUC).
methodsRetrospective study was conducted with 245 patients with UTUC treated by radical nephroureterectomy from 2002 to 2016. Of the cohort, 57.6% received ureteroscopic (URS) biopsy and 35.9% received urine cytology examination. Preoperative clinical characteristics and examination results were collected. Final pathological grade was diagnosed by postoperative pathology. Univariable and multivariable binary logistic regressions were applied to establish a preoperative predictive model for tumor grade, and significant factors were included in the nomogram. The area under curve (AUC) was used to show the predictive efficacy, and the calibration plot was drawn for validation.
resultsOf the 245 patients, 72.7% were diagnosed with pathological high-grade disease. Age (odds ratio [OR] = 1.03,
conclusionsAdvanced age, sessile, positive urinary cytology, and biopsy high-grade were independent predictors of pathological high-grade disease in patients with UTUC. A nomogram containing these factors can improve diagnostic accuracy, potentially reducing the risk of "undergrading" by URS biopsy.
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