Literature DB >> 11034972

Analysing the difference due to risk and demographic factors for incidence or mortality.

S Bashir1, J Estève.   

Abstract

BACKGROUND: From an epidemiological and public health perspective there is an interest in quantifying differences in incidence and mortality between either time points, geographical areas or males and females. We propose a method for splitting such a difference in the number of cases/deaths into three components: (1) those due to risk; (2) those due to population structure (i.e. age distribution); and (3) those due to population size. We also propose graphical methods for presenting the results. Three examples are used to illustrate our methodology.

Mesh:

Year:  2000        PMID: 11034972     DOI: 10.1093/ije/29.5.878

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  12 in total

1.  Cancer incidence in Spain, 2015.

Authors:  J Galceran; A Ameijide; M Carulla; A Mateos; J R Quirós; D Rojas; A Alemán; A Torrella; M Chico; M Vicente; J M Díaz; N Larrañaga; R Marcos-Gragera; M J Sánchez; J Perucha; P Franch; C Navarro; E Ardanaz; J Bigorra; P Rodrigo; R Peris Bonet
Journal:  Clin Transl Oncol       Date:  2017-01-16       Impact factor: 3.405

2.  Cancer incidence and mortality projections up to 2020 in Catalonia by means of Bayesian models.

Authors:  J Ribes; L Esteban; R Clèries; J Galceran; R Marcos-Gragera; R Gispert; A Ameijide; M L Vilardell; J Borras; A Puigdefabregas; M Buxó; A Freitas; A Izquierdo; J M Borras
Journal:  Clin Transl Oncol       Date:  2013-12-12       Impact factor: 3.405

3.  RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data.

Authors:  Joan Valls; Ramon Clèries; Jordi Gálvez; Victor Moreno; Rosa Gispert; Josep M Borràs; Josepa Ribes
Journal:  BMC Public Health       Date:  2009-12-18       Impact factor: 3.295

4.  Trends in the epidemiology and care of diabetes mellitus-related end-stage renal disease in France, 2007-2011.

Authors:  Frank G A Assogba; Cécile Couchoud; Thierry Hannedouche; Emmanuel Villar; Luc Frimat; Anne Fagot-Campagna; Christian Jacquelinet; Bénédicte Stengel
Journal:  Diabetologia       Date:  2014-02-06       Impact factor: 10.122

5.  Merkel cell carcinoma: Current US incidence and projected increases based on changing demographics.

Authors:  Kelly G Paulson; Song Youn Park; Natalie A Vandeven; Kristina Lachance; Hannah Thomas; Aude G Chapuis; Kelly L Harms; John A Thompson; Shailender Bhatia; Andreas Stang; Paul Nghiem
Journal:  J Am Acad Dermatol       Date:  2017-11-02       Impact factor: 11.527

6.  The clinical status and survival in elderly dialysis: example of the oldest region of France.

Authors:  Florence Glaudet; Carine Hottelart; Julien Allard; Vincent Allot; Frédérique Bocquentin; Rémy Boudet; Béatrice Champtiaux; Jean Pierre Charmes; Monica Ciobotaru; Zara Dickson; Marie Essig; Philippe Honoré; Céline Lacour; Christian Lagarde; Maria Manescu; Pierre Peyronnet; Jean Michel Poux; Jean Philippe Rerolle; Michel Rincé; Cécile Couchoud; Jean Claude Aldigier
Journal:  BMC Nephrol       Date:  2013-06-25       Impact factor: 2.388

7.  Explaining the difference in prognosis between screen-detected and symptomatic breast cancers.

Authors:  P C Allgood; S W Duffy; O Kearins; E O'Sullivan; N Tappenden; M G Wallis; G Lawrence
Journal:  Br J Cancer       Date:  2011-05-03       Impact factor: 7.640

8.  Total and partial cancer prevalence in the adult French population in 2008.

Authors:  Marc Colonna; Nicolas Mitton; Nadine Bossard; Aurelien Belot; Pascale Grosclaude
Journal:  BMC Cancer       Date:  2015-03-19       Impact factor: 4.430

9.  A new method to attribute differences in total deaths between groups to population size, age structure and age-specific mortality rate.

Authors:  Xunjie Cheng; Liheng Tan; Yuyan Gao; Yang Yang; David C Schwebel; Guoqing Hu
Journal:  PLoS One       Date:  2019-05-10       Impact factor: 3.240

10.  Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age-Period-Cohort Modelling.

Authors:  Paula Peremiquel-Trillas; Jon Frias-Gomez; Laia Alemany; Alberto Ameijide; Mireia Vilardell; Rafael Marcos-Gragera; Sònia Paytubi; Jordi Ponce; José Manuel Martínez; Marta Pineda; Joan Brunet; Xavier Matías-Guiu; Marià Carulla; Jaume Galceran; Ángel Izquierdo; Josep M Borràs; Laura Costas; Ramon Clèries
Journal:  Int J Environ Res Public Health       Date:  2022-01-27       Impact factor: 3.390

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