ArticleJournal of inflammation research2022
Preoperative White Blood Cell-Related Indicators Can Predict the Prognosis of Patients with Transurethral Resection of Bladder Cancer.
Article in Journal of inflammation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 15 citations in OpenAlex.
- Linear correlation between white blood cell counts and the progression and prognosis of acute kidney injury.The Journal of international medical research · 2025Trial
- Article
- Clinical parameters-based machine learning models for predicting intraoperative hemodynamic instability in hypertensive pheochromocytomas and paragangliomas patients.World journal of urology · 2025Article
- Preoperative inflammation-based immune prognostic nomogram in bladder cancer: a multicenter study.Frontiers in oncology · 2025Article
- Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram.Frontiers in oncology · 2025Article
- A Predictive Model for Acute Kidney Injury Based on Leukocyte-Related Indicators in Hepatocellular Carcinoma Patients Admitted to the Intensive Care Unit.Mediators of inflammation · 2025Article
- Establishment of a prognostic nomogram for elderly patients with limited-stage small cell lung cancer receiving radiotherapy.Scientific reports · 2024Article
- Prognostic Value of Leukocyte-Based Risk Model for Acute Kidney Injury Prediction in Critically Ill Acute Exacerbation of Chronic Obstructive Pulmonary Disease Patients.International journal of chronic obstructive pulmonary disease · 2024Article
- A causal link between circulating leukocytes and three major urologic cancers: a mendelian randomization investigation.Frontiers in genetics · 2024Article
- Association between preoperative white blood cell counts and thirty-day surgical mortality after craniotomy in adult intracranial tumor patients.Frontiers in neurology · 2024Article
- Association between white blood cell count to hemoglobin ratio and risk of in-hospital mortality in patients with lung cancer.BMC pulmonary medicine · 2023Article
- A novel risk model based on white blood cell-related biomarkers for acute kidney injury prediction in patients with ischemic stroke admitted to the intensive care unit.Frontiers in medicine · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Numerous studies, including bladder cancer (BLCA), have confirmed the relationship between conventional systemic inflammatory biomarkers and the prognosis of tumors. Leukocytes, as the most common factor in inflammatory indicators, have been reported to predict prognosis in other tumors. However, we have not seen this research in BLCA. Therefore, we aim to find new blood markers to predict the prognosis of patients with transurethral resection of bladder tumor (TURBT). Methods: Two cohorts from the two different hospitals were used for the specific study. The best cutoff values of leukocytes-related indicators were determined according to the ROC curve. Univariate and multivariate Cox regression analysis were used to explore the impact of indicators and clinical features on prognosis for patients with TURBT. The KM curve was used to show the impact of indicators on the prognosis. According to the consequence of multivariate method, a risk model was established to evaluate the prognosis of patients with bladder cancer. Results: The white blood cell-to-lymphocyte ratio (WLR), the white blood cell-to-hemoglobin ratio (WHR), the white blood cell-to-neutrophil ratio (WNR), the white blood cell-to-monocyte ratio (WMR) and the white blood cell-to-erythrocyte ratio (WRR) are related to the prognosis of BLCA. The new risk model consisted of WHR, WMR and platelet-to-lymphocyte ratio (PLR), and patients with TURBT in the high-risk group had a worse prognosis. Conclusions: Leukocyte-related preoperative indicators could predict the prognosis of the patients with TURBT and provided some guidance for clinical workers.
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