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Patients with heritable retinoblastoma are at risk to develop an intracranial brain tumor, which is often fatal. The investigators intend to look at the incidence and survival of trilateral retinoblastoma (which is a brain tumor that can either be located in the pineal gland or elsewhere in the brain) in retinoblastoma patients globally. All retinoblastoma patients from participating centers will be included. The investigators hypothesize that the apparent incidence of trilateral retinoblastoma (especially the usually later diagnosed pineal trilateral retinoblastoma) in low-income countries will be lower because of low chances of surviving the ocular tumors at about 50% and also because of possible under-diagnosis. Therefore, as retinoblastoma care improves in low-income countries the incidence of (pineal) trilateral retinoblastoma might go up. Knowledge about incidence and survival can help improve health practices in parts of the world where this might be needed. Therefore this global study firstly aims 1) to evaluate survival after trilateral retinoblastoma and factors influencing survival and 2) to evaluate incidence of trilateral retinoblastoma by country income level. The study will run from 2024 through 2027.
Full description
This study will adhere to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement for cohort studies and to the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) statement. The study is designed as a prospective cohort study of retinoblastoma patients diagnosed in one year from as many as possible worldwide treatment centers. The methods of patient recruitment are partly similar to previous global retinoblastoma studies. Data will be extracted from a the Global Retinoblastoma study follows up patients who will present with retinoblastoma in 2024-2027.
All unique trilateral retinoblastoma patients (cases) and all other retinoblastoma patients (controls) with will be included in the incidence analysis. For survival analysis follow-up data will be required.
After initial submission of case data by participating centers three years after the start of the study information on follow-up, metastasis, eye globe salvage, laterality, diagnosis of trilateral retinoblastoma and survival outcome will be available. At a later stage participating centers that reported trilateral retinoblastoma cases will be contacted again for additional information. All trilateral retinoblastoma patients will be included in the analysis, regardless if additional information is provided.
The investigators will request the following additional data:
If feasible additionally all centers that will also be asked if they can retrospectively provide data on trilateral retinoblastoma patients of whom retinoblastoma was not diagnosed in 2024 and were diagnosed with trilateral retinoblastoma in the years 2020 through 2027.
Outcome measures
Incidence and risk factors of developing trilateral retinoblastoma will be analyzed in the following manner (cases and controls who were diagnosed with retinoblastoma in 2024):
Survival analysis of trilateral retinoblastoma alone (all cases who were diagnosed with trilateral retinoblastoma in the years 2024 through 2027):
Survival analysis of trilateral retinoblastoma in the entire retinoblastoma cohort (cases and controls who were diagnosed with retinoblastoma in 2024-2027):
Other analyses (all cases who were diagnosed with trilateral retinoblastoma in the years 2024 through 2027):
The income level of a country will be determined by the at the time most recent World Population Prospects by the Department of Economic and Social Affairs of the United Nations.
Statistical analysis
Incidence will be reported as proportions with 95% exact binomial confidence intervals. Cumulative incidence of trilateral retinoblastoma curves will be created, accounting for death from other causes without diagnosis of trilateral retinoblastoma.
Overall survival (all-cause mortality), disease specific survival and event free survival were performed. An event is defined as being diagnosed with trilateral retinoblastoma.
The Kaplan-Meier product-limit method and the log rank test will be used to analyze survival data. A Cox proportional hazards model will be employed to analyze potential predictors factors. Schoenfeld residuals will be used to check the proportionality assumption of the model.
The investigators each case with a unique identifier for stratification based on the center to account for heterogeneity between these centers.
In case of subgroup analyses original P-values will presented, as well as adjusted p-values corrected for multiple hypothesis testing according to Bonferroni's method.
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Pim de Graaf, MD PhD; Marcus C de Jong, MD PhD
Data sourced from clinicaltrials.gov
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