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Research Article

Seasonal Variation in the Diagnosis of Retinoblastoma

, , , , , & show all
Pages 509-514 | Received 20 Apr 2022, Accepted 23 Nov 2022, Published online: 11 Dec 2022
 

ABSTRACT

Purpose

To determine the seasonal variation in the diagnosis of retinoblastoma in a global sample of children and to investigate predictors of seasonal trends.

Methods

Data were collected through a global, multicenter, 1-year cross-sectional analysis that included all treatment- naïve retinoblastoma patients presenting to participating centers between January 1, 2017, and December 31, 2017. Due to variations in days per month, data were normalized to a 30-day/month calendar. Observed data were compared to a simulation study of expected results using a uniform distribution.

Results

Patient-level data were available for 4,351 children from 276 centers in 153 countries, of which 3,966 had a month of presentation recorded. There were relative peaks in disease presentation in January and July, with lower counts in November and December (p = .0015). No covariates were found to be significantly associated with the seasonal trend. Two covariates, patient age at presentation and extraocular tumor spread, showed a moderate association with month of presentation.

Conclusion

Our findings suggest seasonal trends in the presentation of retinoblastoma across the world. However, these trends do not appear to be related to income level of a country, climate, or other covariates. Any connection between seasonal variation of retinoblastoma presentation and retinoblastoma outcomes remains unclear or not present.

Disclosure statement

None of the following authors have any proprietary interests or conflicts of interest related to this submission

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

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