Literature DB >> 15177976

Incidence of retinoblastoma from 1958 to 1998 in Northern Europe: advantages of birth cohort analysis.

Stefan Seregard1, Göran Lundell, Helena Svedberg, Tero Kivelä.   

Abstract

PURPOSE: To assess change in incidence of retinoblastoma in Northern Europe and to compare commonly used methods for calculating its incidence against birth cohort analysis.
DESIGN: Retrospective cohort study. PARTICIPANTS: Individual and pooled data of 291 Swedish and 174 Finnish children diagnosed with retinoblastoma between 1958 and 1998. MAIN OUTCOME MEASURES: Incidence per 1 million children younger than 5 years of age (37 812 035 person- years at risk) and per 100 000 live births (7 152 265 live-born children at risk).
METHODS: Data were from Swedish and Finnish Cancer Registries and corresponding national referral centers for retinoblastoma. Incidence was calculated both by standard analysis per children younger than 5 years of age and per live births, and by birth cohort analysis. Curves were smoothed with robust, locally weighted regression. Linear regression was used to fit pooled data.
RESULTS: The number of new retinoblastoma cases per year ranged from 0 to 13 (1-13 per birth cohort) in Sweden and from 0 to 10 in Finland (1-9 per birth cohort). The mean incidence was 11.8 (95% confidence interval [CI], 10.5-13.1) and 11.2 (95% CI, 9.4-13.0) per 1 million children younger than 5 years of age in Sweden and Finland, respectively, and 6.7 (95% CI, 5.9-7.5) and 6.2 (95% CI, 5.3-7.2) per 100 000 live births, respectively. Analysis based on year of diagnosis suggested moderate increase in incidence since 1990, but by birth cohort analysis, incidence rates were stable for both countries. The pooled incidence by birth cohort was 6.0 (95% CI, 5.4-6.6) per 100 000 live births, corresponding to 1 in 16 642 (95% CI, 15 105-18 528) live births.
CONCLUSIONS: The data suggest that the incidence of retinoblastoma is stable in Northern Europe. Analysis based on birth cohort is recommended for future epidemiologic studies, because it minimizes the effect of variable age at diagnosis of this developmental cancer and results in less variable incidence rates than standard analysis based on year of diagnosis.

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Year:  2004        PMID: 15177976     DOI: 10.1016/j.ophtha.2003.10.023

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  28 in total

1.  Association Between Genotype and Phenotype in Consecutive Unrelated Individuals With Retinoblastoma.

Authors:  Flore Salviat; Marion Gauthier-Villars; Matthieu Carton; Nathalie Cassoux; Livia Lumbroso-Le Rouic; Catherine Dehainault; Christine Levy; Lisa Golmard; Isabelle Aerts; François Doz; Fidéline Bonnet-Serrano; Stéphanie Hayek; Alexia Savignoni; Dominique Stoppa-Lyonnet; Claude Houdayer
Journal:  JAMA Ophthalmol       Date:  2020-08-01       Impact factor: 7.389

2.  The human retinoblastoma susceptibility gene (RB1): an evolutionary story in primates.

Authors:  Maria C Viana; William C Tavares; Ayslan C Brant; Mariana Boroni; Héctor N Seuánez
Journal:  Mamm Genome       Date:  2017-04-11       Impact factor: 2.957

3.  High-resolution MRI using orbit surface coils for the evaluation of metastatic risk factors in 143 children with retinoblastoma: Part 1: MRI vs. histopathology.

Authors:  Selma Sirin; Marc Schlamann; Klaus A Metz; Norbert Bornfeld; Bernd Schweiger; Markus Holdt; Petra Temming; Michael M Schuendeln; Sophia L Goericke
Journal:  Neuroradiology       Date:  2015-06-04       Impact factor: 2.804

4.  The National Registry of Retinoblastoma in Japan (1983-2014).

Authors: 
Journal:  Jpn J Ophthalmol       Date:  2018-05-30       Impact factor: 2.447

5.  Genetic screening in patients with Retinoblastoma in Israel.

Authors:  Michal Sagi; Avishag Frenkel; Avital Eilat; Naomi Weinberg; Shahar Frenkel; Jacob Pe'er; Dvorah Abeliovich; Israela Lerer
Journal:  Fam Cancer       Date:  2015-09       Impact factor: 2.375

6.  Smartphone-based application improves the detection of retinoblastoma.

Authors:  Amit Khedekar; Bharanidharan Devarajan; Kim Ramasamy; Veerappan Muthukkaruppan; Usha Kim
Journal:  Eye (Lond)       Date:  2019-01-11       Impact factor: 3.775

Review 7.  Current update on retinoblastoma.

Authors:  Samuel K Houston; Timothy G Murray; Stacey Quintero Wolfe; Cristina E Fernandes
Journal:  Int Ophthalmol Clin       Date:  2011

8.  Low penetrance hereditary retinoblastoma in a family: what should we consider in the genetic counselling process and follow up?

Authors:  C Serrano; J Alonso; G Gómez-Mariano; E Aguirre; O Diez; N Gadea; N Bosch; J Balmaña; B Graña
Journal:  Fam Cancer       Date:  2011-09       Impact factor: 2.375

Review 9.  Retinoblastoma.

Authors:  Helen Dimaras; Timothy W Corson; David Cobrinik; Abby White; Junyang Zhao; Francis L Munier; David H Abramson; Carol L Shields; Guillermo L Chantada; Festus Njuguna; Brenda L Gallie
Journal:  Nat Rev Dis Primers       Date:  2015-08-27       Impact factor: 52.329

Review 10.  Effect of Intravenous Chemotherapy Regimen on Globe Salvage Success Rates for Retinoblastoma Based on Disease Class-A Meta-Analysis.

Authors:  Anthony B Daniels; Shriji N Patel; Ronald W Milam; Sahar Kohanim; Debra L Friedman; Tatsuki Koyama
Journal:  Cancers (Basel)       Date:  2021-05-06       Impact factor: 6.639

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