ArticleBMC urology2020
The risk factors related to the severity of pain in patients with Chronic Prostatitis/Chronic Pelvic Pain Syndrome.
Article in BMC urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05075551 (Analyzing the Brain Alterations of Acupuncture on Patients With Chronic Prostatitis/Chronic Pelvic Pain Syndrome Evaluated by fMRI), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Analyzing the Brain Alterations of Acupuncture on Patients With Chronic Prostatitis/Chronic Pelvic Pain Syndrome Evaluated by fMRI: Study Protocol for a Randomized Trial
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of Sexual Dysfunction with Chronic Prostatitis/Chronic Pelvic Pain Syndrome (CP/CPPS): An Updated Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Factors related to acupuncture response in patients with chronic prostatitis/chronic pelvic pain syndrome: secondary analysis of a randomized controlled trial.World journal of urology · 2024Trial
- The Negative Feedback of the Glutamine/Prostatitis Loop Identified Among 1400 Metabolites and Prostatitis via Mendelian Randomization.Mediators of inflammation · 2025Article
- Hypertension and urologic chronic pelvic pain syndrome: An analysis of MAPP-I data.BMC urology · 2024Article
- Association between predictors of progression of benign prostatic hyperplasia and moderate-to-severe prostatitis-like symptoms: A propensity score-matched analysis.Prostate international · 2022Article
- Using the UPOINT system to manage men with chronic pelvic pain syndrome.Arab journal of urology · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundChronic Prostatitis/Chronic Pelvic Pain Syndrome (CP/CPPS) is a disease with diverse clinical manifestations, such as pelvic pain or perineal pain. Although recent studies found several risk factors related to the pain severity of CP/CPPS patients, results were inconsistent. Here, we aimed to identify novel risk factors that are closely related to the severity of pain in patients with CP/CPPS.
methodsWe retrospectively collected the clinical records from patients with CP/CPPS from March 2019 to October 2019. The questionnaire was used to obtain related parameters, such as demographics, lifestyle, medical history, etc. To identify potential risk factors related to pain severity, we used the methods of univariate and multivariate logistic regression analyses. Further, to confirm the relationship between these confirmed risk factors and CP/CPPS, we randomly divided CP/CPPS patients into the training and the validation cohorts with a ratio of 7:3. According to the co-efficient result of each risk factor calculated by multivariate logistic regression analysis, a predicting model of pain severity was established. The receiver operating characteristic curve (ROC), discrimination plot, calibration plot, and decision curve analyses (DCA) were used to evaluate the clinical usage of the current model in both the training and validation cohorts.
resultsA total of 272 eligible patients were enrolled. The univariate and multivariate logistic regression analysis found that age [odds ratio (OR): 2.828, 95% confidence intervals (CI): 1.239-6.648, P = 0.004], holding back urine (OR: 2.413, 95% CI: 1.213-4.915, P = 0.005), anxiety or irritability (OR: 3.511, 95% CI: 2.034-6.186, P < 0.001), contraception (OR: 2.136, 95% CI:1.161-3.014, P = 0.029), and smoking status (OR: 1.453, 95% CI: 1.313-5.127, P = 0.013) were the risk factors of pain severity. We then established a nomogram model, to test whether these factors could be used to predict the pain severity of CP/CPPS patients in turn. Finally, ROC, DCA, and calibration analyses proved the significance and stability of this nomogram, further confirmed that these factors were closely related to the pain severity of CP/CPPS patients.
conclusionsWe identify age, holding back urine, anxiety or irritability, contraception, and smoking are risk factors closely related to the pain severity in patients with CP/CPPS. Our results provide novel inspirations for clinicians to design the personalized treatment plan for individual CP/CPPS patient who has suffered different encounters.
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