Literature DB >> 19112937

Life tables for world-wide comparison of relative survival for cancer (CONCORD study).

Paolo Baili1, Andrea Micheli, Roberta De Angelis, Hannah K Weir, Silvia Francisci, Mariano Santaquilani, Timo Hakulinen, Manuela Quaresmas, Michel P Coleman.   

Abstract

BACKGROUND: The CONCORD study compares population-based relative survival from cancer using data from cancer registries in five continents. To estimate relative survival, general mortality life tables are required. Available statistics are incomplete, so various approaches are used to construct complete life tables. This article outlines how the life tables were constructed for CONCORD; it compares life expectancy at birth between 101 populations covered by cancer registries in 31 countries and compares the impact of two approaches to the deployment of life tables in relative survival analysis.
METHODS: The CONCORD approach, using specific mathematical methods, produced complete (single-year-of-age) life tables by sex, cancer registry area, calendar year (1990-1999) and race (only in the USA). In order to study the impact of different approaches, we compared relative survival in the USA using the US national life table, centered on the relevant census years, and the CONCORD approach. We estimated relative survival in each American participating cancer registry for patients diagnosed with breast (women), colorectal or prostate cancer during 1990-1994 and followed up to 1999.
RESULTS: Average life expectancy at birth during 1990-1999 varied in CONCORD cancer registry areas from 64 to 78 years in males and from 71 to 84 years in females. It increased during the 1990s more in men than in women. In the USA, it was lower in blacks than in whites. Relative survival in American populations was lower with the CONCORD approach, which incorporates trends and geographic variation in background mortality, than with the USA census life tables.
CONCLUSIONS: International variation in background mortality by geographic area, calendar time, race, age and sex is wide. We suggest that in international comparisons of cancer relative survival, complete life tables that are specific for cancer registry area, calendar year and race should be used.

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Year:  2008        PMID: 19112937     DOI: 10.1177/030089160809400503

Source DB:  PubMed          Journal:  Tumori        ISSN: 0300-8916


  17 in total

1.  State disparities in colorectal cancer rates: Contributions of risk factors, screening, and survival differences.

Authors:  Iris Lansdorp-Vogelaar; S Lucas Goede; Jiemin Ma; Wu Xiau-Cheng; Karen Pawlish; Marjolein van Ballegooijen; Ahmedin Jemal
Journal:  Cancer       Date:  2015-07-06       Impact factor: 6.860

2.  The impact of National Death Index linkages on population-based cancer survival rates in the United States.

Authors:  Christopher J Johnson; Hannah K Weir; Aliza K Fink; Robert R German; Jack L Finch; Randi K Rycroft; Daixin Yin
Journal:  Cancer Epidemiol       Date:  2012-09-07       Impact factor: 2.984

3.  Providing clinicians and patients with actual prognosis: cancer in the context of competing causes of death.

Authors:  Nadia Howlader; Angela B Mariotto; Steven Woloshin; Lisa M Schwartz
Journal:  J Natl Cancer Inst Monogr       Date:  2014-11

4.  Evaluation of North American Association of Central Cancer Registries' (NAACCR) data for use in population-based cancer survival studies.

Authors:  Hannah K Weir; Christopher J Johnson; Angela B Mariotto; Donna Turner; Reda J Wilson; Diane Nishri; Kevin C Ward
Journal:  J Natl Cancer Inst Monogr       Date:  2014-11

5.  The impact of state-specific life tables on relative survival.

Authors:  Antoinette M Stroup; Hyunsoon Cho; Steve M Scoppa; Hannah K Weir; Angela B Mariotto
Journal:  J Natl Cancer Inst Monogr       Date:  2014-11

Review 6.  Predicting Life Expectancy for Older Adults with Cancer in Clinical Practice: Implications for Shared Decision-making.

Authors:  Haydee Cristina Verduzco-Aguirre; Carolina Gomez-Moreno; Yanin Chavarri-Guerra; Enrique Soto-Perez-de-Celis
Journal:  Curr Oncol Rep       Date:  2019-06-25       Impact factor: 5.075

7.  The effect of multiple primary rules on population-based cancer survival.

Authors:  Hannah K Weir; Christopher J Johnson; Trevor D Thompson
Journal:  Cancer Causes Control       Date:  2013-04-05       Impact factor: 2.506

8.  Adult leukemia survival trends in the United States by subtype: A population-based registry study of 370,994 patients diagnosed during 1995-2009.

Authors:  Chris Bailey; Lisa C Richardson; Claudia Allemani; Audrey Bonaventure; Rhea Harewood; Angela R Moore; Sherri L Stewart; Hannah K Weir; Michel P Coleman
Journal:  Cancer       Date:  2018-10-21       Impact factor: 6.860

9.  Breast cancer survival in the US and Europe: a CONCORD high-resolution study.

Authors:  Claudia Allemani; Milena Sant; Hannah K Weir; Lisa C Richardson; Paolo Baili; Hans Storm; Sabine Siesling; Ana Torrella-Ramos; Adri C Voogd; Tiiu Aareleid; Eva Ardanaz; Franco Berrino; Magdalena Bielska-Lasota; Susan Bolick; Claudia Cirilli; Marc Colonna; Paolo Contiero; Rosemary Cress; Emanuele Crocetti; John P Fulton; Pascale Grosclaude; Timo Hakulinen; M Isabel Izarzugaza; Per Malmström; Karin Peignaux; Maja Primic-Žakelj; Jadwiga Rachtan; Chakameh Safaei Diba; Maria-José Sánchez; Maria J Schymura; Tiefu Shen; Adele Traina; Laufey Tryggvadottir; Rosario Tumino; Michel Velten; Marina Vercelli; Holly J Wolf; Anne-Sophie Woronoff; Xiaocheng Wu; Michel P Coleman
Journal:  Int J Cancer       Date:  2012-09-18       Impact factor: 7.396

10.  Trends of population-based breast cancer survival in Germany and the US: decreasing discrepancies, but persistent survival gap of elderly patients in Germany.

Authors:  Bernd Holleczek; Hermann Brenner
Journal:  BMC Cancer       Date:  2012-07-28       Impact factor: 4.430

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