ArticleAnnals of translational medicine2020
Development and validation of a predictive nomogram for the risk of recurrence in patients with cystitis glandularis.
Article in Annals of translational medicine, 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, 12 citations in OpenAlex.
- Clinical indicators combined with spectral CT in differentiating non-muscle-invasive bladder urothelial carcinoma from cystitis glandularis.Abdominal radiology (New York) · 2026Article
- Personalized prediction for recurrence of cystitis glandularis: insights from SHAP and machine learning models.Translational andrology and urology · 2025Article
- Differences in clinical features between focal and extensive types of cystitis glandularis in patients without a previous history of urinary tract malignancy.Investigative and clinical urology · 2023Article
- Recurrence factors in patients with Keratinizing squamous metaplasia of the bladder after surgical management: a single-center retrospective study.Translational andrology and urology · 2021Article
- Fluid Homeostasis May Predict the Prognosis of Non-infectious Fever After Total Knee Arthroplasty Within 7-Day: A Retrospective Cohort Study.Frontiers in surgery · 2021Article
- Incidence of adenocarcinoma bladder in patients with cystitis cystica et glandularis: A retrospective study.Indian journal of urology : IJU : journal of the Urological Society of IndiaArticle
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost patients with cystitis glandularis (CG) suffer from recurrence after primary treatment. Therefore, we performed this multicenter study to clarify the recurrent risk factors and constructed a predictive nomogram for the risk of recurrence. Also, we try to investigate the correlation between CG and bladder cancer.
methodsConsecutive patients with pathologically confirmed CG were divided into training and validation sets. Clinicopathological characters were collected from electronic medical records. Uni- and multivariate logistic regression analyses were used to identify independent risk factors of CG recurrence in the training set. The predictive nomogram was developed by incorporating these independent factors and histological subtype. The performance of the nomogram was assessed and validated with respects to its calibration, discrimination, and clinical usefulness. The risk of developing subsequent bladder cancer was analyzed from the follow-up data.
resultsUltimately, 278 eligible patients were included and were allocated to a training set (n=190) and a validation set (n=88). Of them, 165 (59.35%) patients experienced CG recurrence, and none showed evidence of subsequent bladder carcinoma during a median (IQR) follow-up time of 27 months (14-57 months). Results of multivariate analysis showed that urinary infections, long-term indwelling catheter usage, urinary calculus, squamous metaplasia, and atypical hyperplasia were independent risk factors of CG recurrence. The C-index (95% CI) of the nomogram was 0.76 (0.69-0.83) in the training set and 0.72 (0.61-0.83) in the validation set. A decision curve analysis (DCA) demonstrated that this predictive nomogram was clinically useful.
conclusionsWe developed and validated a nomogram to predict the individualized risk of CG recurrence. Also, we demonstrated that neither intestinal nor typical CG increased the consequent risk of bladder cancer during the follow-up period.
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