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The aim of this study was to determine clinical recrudescent risk factors of 477 patients with newly discovered nonmuscle-invasive bladder cancer (NMIBC) (Ta-T1) in our hospital, and based on these factors, to establish a recurrence risk prediction model of each NMIBC patient. This study included 477 patients with newly discovered NMIBC (Ta-T1) from January 2012 to December 2016; all patients were treated surgically by transurethral resection of bladder tumor (TURBT). The outcomes of patients were with or without recurrence within 2 years. The nomograms were based on Cox regression analyses, and the calibration curves were founded to evaluate the agreements of the predicted probability with the actual observed probability. Of the 477 patients with NMIBC, 392 were males (82.2%) and 85 were females (17.8%), with median age 64 years. Recurrence was identified in 327 cases (68.6%). The results showed that old age, female sex, smoking history, large size of tumor, multifocal tumors, high grade, and high stage are risk factors for NMIBC recurrence, whereas no significant association was seen between tumor location and recurrence in our study. Based on the results of Cox regression analyses, several independent risk factors, including smoking history, tumor size, multifocal, immediate infusion therapy, T stage, and tumor grade, were used to establish a nomogram to calculate the recurrence probability of each NMIBC patient, and the calibration curve displayed that this nomogram had a great value of prediction. Old age, female sex, smoking history, large size of tumor, multifocal tumors, high grade, and high stage are risk factors for NMIBC recurrence, whereas immediate infusion therapy is a protective factor. And a nomogram was established as a prediction model to calculate the recurrence probability of NMIBC patients.
The aim of this study was to determine clinical recrudescent risk factors of 477 patients with newly discovered nonmuscle-invasive bladder cancer (NMIBC) (Ta-T1) in our hospital, and based on these factors, to establish a recurrence risk prediction model of each NMIBC patient. This study included 477 patients with newly discovered NMIBC (Ta-T1) from January 2012 to December 2016; all patients were treated surgically by transurethral resection of bladder tumor (TURBT). The outcomes of patients were with or without recurrence within 2 years. The nomograms were based on Cox regression analyses, and the calibration curves were founded to evaluate the agreements of the predicted probability with the actual observed probability. Of the 477 patients with NMIBC, 392 were males (82.2%) and 85 were females (17.8%), with median age 64 years. Recurrence was identified in 327 cases (68.6%). The results showed that old age, female sex, smoking history, large size of tumor, multifocal tumors, high grade, and high stage are risk factors for NMIBC recurrence, whereas no significant association was seen between tumor location and recurrence in our study. Based on the results of Cox regression analyses, several independent risk factors, including smoking history, tumor size, multifocal, immediate infusion therapy, T stage, and tumor grade, were used to establish a nomogram to calculate the recurrence probability of each NMIBC patient, and the calibration curve displayed that this nomogram had a great value of prediction. Old age, female sex, smoking history, large size of tumor, multifocal tumors, high grade, and high stage are risk factors for NMIBC recurrence, whereas immediate infusion therapy is a protective factor. And a nomogram was established as a prediction model to calculate the recurrence probability of NMIBC patients.
Purpose. Nonmuscle invasive bladder cancer (BCa) has a high recurrence rate requiring lifelong surveillance. Urinary biomarkers are promising as simple alternatives to cystoscopy for the diagnosis of recurrent bladder cancer. However, no single marker can achieve the required accuracy. The purpose of this study was to select a multiparameter panel, comprising urinary biomarkers and clinical parameters, for BCa recurrence diagnosis. Experimental Design. Candidate biomarkers were measured in urine samples of BCa patients with recurrence and BCa patients without recurrence. A multiplatform strategy was used for marker quantification comprising a multiplexed microarray and an automated platform for ELISA analysis. A multivariate statistical analysis combined the results from both platforms with the collected clinical data. Results. The best performing combination of biomarkers and clinical parameters achieved an AUC value of 0.91, showing better performance than individual parameters. This panel comprises six biomarkers (cadherin-1, IL-8, ErbB2, IL-6, EN2, and VEGF-A) and three clinical parameters (number of past recurrences, number of BCG therapies, and stage at time of diagnosis). Conclusions. The multiparameter panel could be a useful noninvasive tool for BCa surveillance and potentially impact the clinical management of this disease. Validation of results in an independent cohort is warranted.
Introduction: Results of preclinical and clinical studies in medicine could be trusted only if their design and statistical analysis were appropriate. Aim: The aim of our study was to investigate whether preclinical and clinical studies published in medical journals of Bosnia and Herzegovina satisfy basic requirements for appropriate design and statistical interpretation of data. Methods: Preclinical and clinical studies published in medical journals of Bosnia and Herzegovina were retrieved from the PubMed database, and the sample for analysis was randomly chosen from the retrieved publications. Implementation rate of basic principles of experimental design (local control, randomization and replication) and rate of the most common errors in design of clinical/observational studies was established by careful reading of the sampled publications and their checking against predefined criteria. Results: Our study showed that only a minority of experimental preclinical studies had basic principles of design completely implemented (7%), while implementation rate of single aspects of appropriate experimental design varied from as low as 12% to as high as 77%. Only one of the clinical/observational studies had none of the errors searched for (2%), and specific errors rates varied from 10% to 89%. Average impact factor of the surveyed studies was around one, and average publication date recent, less than 5 years ago. Conclusion: Prevalence of preclinical studies that did not follow completely basic principles of research design, and that of clinical/observational studies with errors are high, raising suspicion to validity of their results. If incorrect and not protected against bias, results of published studies may adversely influence future research.
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