Literature DB >> 17724784

Estimating complete prevalence of cancers diagnosed in childhood.

Arianna Simonetti1, Anna Gigli, Riccardo Capocaccia, Angela Mariotto.   

Abstract

A method of estimating the complete prevalence of cancers diagnosed in childhood called CHILDPREV (CHILDhood PREValence), is presented. It is a semi-parametric method based on cancer registry data and on the completeness index method. It allows estimating prevalence even when no observation is available (typically older patients alive at the prevalence date may have been diagnosed with cancer before the introduction of the registry). The method was validated on Connecticut Tumor Registry data, which has 62 years of follow-up and provides complete prevalence, and compared with the fully parametric PIAMOD method. Results of complete childhood prevalence estimates based on SEER-9 cancer registries data for acute lymphocytic leukemia and all cancer sites combined are presented. Copyright (c) 2007 John Wiley & Sons, Ltd.

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Year:  2008        PMID: 17724784     DOI: 10.1002/sim.3010

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  6 in total

1.  Cancer survivors: a booming population.

Authors:  Carla Parry; Erin E Kent; Angela B Mariotto; Catherine M Alfano; Julia H Rowland
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-10       Impact factor: 4.254

2.  Survivors of childhood cancer in the United States: prevalence and burden of morbidity.

Authors:  Siobhan M Phillips; Lynne S Padgett; Wendy M Leisenring; Kayla K Stratton; Ken Bishop; Kevin R Krull; Catherine M Alfano; Todd M Gibson; Janet S de Moor; Danielle Blanch Hartigan; Gregory T Armstrong; Leslie L Robison; Julia H Rowland; Kevin C Oeffinger; Angela B Mariotto
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-04       Impact factor: 4.254

3.  Towards a more comprehensive understanding of cancer burden in North Carolina: priorities for intervention.

Authors:  William R Carpenter; Laura M Beskow; Deborah E Blocker; Michael J Forlenza; Annice E Kim; Eric S Pevzner; John M Rose; Anh N Tran; Kelly H Webber; Karen Knight; Michael S O'Malley
Journal:  N C Med J       Date:  2008 Jul-Aug

4.  Estimating the number of colorectal cancer patients treated with anti-tumour therapy in 2015: the analysis of the Czech National Cancer Registry.

Authors:  Tomáš Pavlík; Ondřej Májek; Jan Mužík; Jana Koptíková; Lubomír Slavíček; Jindřich Fínek; David Feltl; Rostislav Vyzula; Ladislav Dušek
Journal:  BMC Public Health       Date:  2012-02-10       Impact factor: 3.295

5.  Estimating the prevalence of hematological malignancies and precursor conditions using data from Haematological Malignancy Research Network (HMRN).

Authors:  Jinlei Li; Alex Smith; Simon Crouch; Steven Oliver; Eve Roman
Journal:  Cancer Causes Control       Date:  2016-06-28       Impact factor: 2.506

6.  A population-based study of breast cancer prevalence in Australia: predicting the future health care needs of women living with breast cancer.

Authors:  Xue Qin Yu; Roberta De Angelis; Qingwei Luo; Clare Kahn; Nehmat Houssami; Dianne L O'Connell
Journal:  BMC Cancer       Date:  2014-12-11       Impact factor: 4.430

  6 in total

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