ArticleInternational urology and nephrology2024
Effects of delayed diagnosis on tumor size, stage and grade in bladder cancer.
Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- 5-year survival rate and determinants of decreased survival among patients with breast cancer in Africa: a systematic review and meta-analysis.BMJ global health · 2026Pooled it
- Standardized care pathway reshaped the diagnostic and therapeutic landscape of urinary bladder cancer. A 15-year population-based study.BJUI compass · 2026Article
- Machine learning-based radiomics for bladder cancer staging: evaluating the role of imaging timing in differentiating T2 from T3 disease.Frontiers in oncology · 2025Article
- Discovery and Validation of Novel microRNA Panel for Non-Invasive Prediction of Prostate Cancer.Cureus · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study is planned based on the hypothesis that if bladder cancer is detected early, the disease would be less advanced and the possibility of treatment will increase, at least the recurrence-free survival will be longer. Regarding this hypothesis, it is aimed to investigate the effect of delayed diagnosis primarily on the disease factors. MATERIALS AND
methodsThe study included 169 patients, who underwent TUR-BT with the suspicion of bladder cancer in the urology clinic of Afyonkarahisar Faculty of Medicine between April 2018 and April 2023. Demographic and clinical data of the patients were recorded and compared.
resultsIt was observed that the delay in diagnosis was significantly longer in patients with tumors larger than 3 cm compared to patients with tumors smaller than 3 cm (p < 0.001). In the correlation analysis between tumor size, duration of diagnosis delay, age, T stage, and tumor grade, a low level of positive correlation was observed between tumor size and duration of diagnosis delay, and it was statistically significant (r = 0.215, p = 0.005).
conclusionIn our study, it was shown that the tumor size increases as the duration of diagnosis delay increases and this increase causes an increase of 0.088 mm in the pathological size of the tumor in the 1-day delay period. Considering that tumor size changes the risk group of the disease in bladder tumors, and relatedly the follow-up and treatment process changes, we believe that these data will be valuable in the management of bladder cancer.
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