ArticleUrologic oncology2019
Socioeconomic and insurance status are independent prognostic indicators of higher disease stage and worse prognosis in bladder cancer.
Article in Urologic oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Article
- Disease burden and trends of bladder cancer in the world and BRICS from 1990 to 2021 and its projection until 2036: analysis based on the global burden of disease study 2021.Discover oncology · 2025Article
- Socioeconomic disparities and bladder cancer stage at diagnosis: a statewide cohort analysis.JNCI cancer spectrum · 2025Article
- Socioeconomic disparities and MIBC survival outcome-An analysis of a statewide cohort.World journal of urology · 2025Article
- Connection between trajectory of primary cancer monitoring indicators and mortality after cancer in South Korea.BMC medicine · 2025Article
- Racial disparities in stage at bladder cancer diagnosis in the US Veterans Affairs healthcare system.BJU international · 2024Article
- A scoping review on population-centered indicators for cancer care continuum.Frontiers in public health · 2022Article
- The prognostic effect of metastasis patterns on overall survival in patients with distant metastatic bladder cancer: a SEER population-based analysis.World journal of urology · 2021Article
- Associations of Medicaid Expansion With Insurance Coverage, Stage at Diagnosis, and Treatment Among Patients With Genitourinary Malignant Neoplasms.JAMA network open · 2021Article
- The Uninsured are a Distinct Population in a Breast Cancer Cohort, with Unique Screening, Staging, and Outcomes.Journal of registry management · 2021Article
- Disparities in Hepatocellular Carcinoma Survival by Insurance Status: A Population-Based Study in China.Frontiers in public health · 2021Article
- Factors predicting early mortality after radical cystectomy for urothelial carcinoma in a contemporary cohort of patients.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2020Article
- Implementation of a Surgical Oncology Disparities Curriculum for Preclinical Medical Students.The Journal of surgical research · 2020Article
- Disparities in Bladder Cancer Outcomes Based on Key Sociodemographic Characteristics.Current urology reports · 2020Review
- Impact of neighborhood deprivation on bladder cancer outcomes: A regional analysis.Bladder cancer (Amsterdam, Netherlands)Article
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesBladder cancer is the fourth most common cancer among males and poses a significant financial burden, yet there are no large-scale studies focused on the correlation between socioeconomic (SES) and insurance status and bladder cancer outcomes. The objective of this study was to determine the effect of SES and insurance type on outcomes in bladder cancer. MATERIALS AND
methodsA population-based search was performed using the National Cancer Institute's Surveillance, Epidemiology, and End Results 18 database. Patients aged 18 or older and diagnosed with bladder cancer between 2011 and 2015 were identified. Data on patient demographics, SES features, insurance status, tumor characteristics, and survival were collected. A county-level SES measure was created in a method consistent with prior literature. Primary outcomes were overall survival (OS) and disease-specific survival (DSS).
resultsA total of 91,308 patients were identified. Factors predictive of having muscle invasive disease included having Medicaid insurance, having no insurance, and being in the lowest SES quartile (all P < 0.001). Having Medicaid or no insurance was predictive of having node positive or metastatic disease (P < 0.001). Independent of T stage, patients in the lowest and second lowest SES quartiles had worse OS (P = 0.004 and P = 0.022, respectively) and DSS (P < 0.001 for both). Patients with Medicaid or no insurance had worse OS and DSS (P < 0.001 for all).
conclusionsLower SES status, Medicaid insurance, and having no insurance were all predictive of having higher tumor stage. Independent of tumor stage, being of lower SES, having Medicaid insurance, and having no insurance predicted worse OS and DSS.
Indexed as
Identifiers
31076355What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.