Literature DB >> 16418307

Higher long-term cancer survival rates in southeastern Netherlands using up-to-date period analysis.

S Houterman1, M L G Janssen-Heijnen, L V van de Poll-Franse, H Brenner, J W W Coebergh.   

Abstract

BACKGROUND: The aim was to compare long-term survival rates for different types of cancer estimated by means of up to date period analysis with those from more traditional cohort analysis. PATIENTS AND METHODS: Data from the Eindhoven Cancer Registry were used. In total 140,137 newly diagnosed patients diagnosed between 1980 and 2002 and followed until 1 January 2005 were included. Five-, 10- and 20-year relative survival rates were calculated.
RESULTS: For total cancer in men and women, childhood cancer, rectal cancer, melanoma in women, breast cancer, prostate cancer and all leukaemias, much higher 10-year survival rates were found with period analyses (differences with cohort analyses were 5.1%, 3.6%, 7.4%, 5.6%, 6.5%, 4.0%, 5.1% and 10.5%, respectively). For laryngeal and bladder cancer the 10-year survival rates estimated with period analyses were about 7.5% lower compared with those estimated by means of cohort analyses.
CONCLUSIONS: Period analysis, based on the most recent period of diagnosis, enabled us to show higher survival rates for total cancer, childhood cancer, rectal cancer, melanoma, breast cancer, prostate cancer and acute leukaemia, but also lower rates for laryngeal and bladder cancer. Period analysis should be the preferred tool for showing up-to-date survival rates to cancer patients and their physicians.

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Mesh:

Year:  2006        PMID: 16418307     DOI: 10.1093/annonc/mdj139

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  5 in total

1.  Sexual morbidity in very long term survivors of vaginal and cervical cancer: a comparison to national norms.

Authors:  Stacy Tessler Lindau; Natalia Gavrilova; Diane Anderson
Journal:  Gynecol Oncol       Date:  2007-06-20       Impact factor: 5.482

2.  Actual prognosis during follow-up of survivors of B-cell non-Hodgkin lymphoma in the Netherlands.

Authors:  Saskia A M van de Schans; Liza N van Steenbergen; Jan Willem W Coebergh; Maryska L G Janssen-Heijnen; Dick Johan van Spronsen
Journal:  Haematologica       Date:  2013-09-13       Impact factor: 9.941

3.  Growth factor receptors and apoptosis regulators: signaling pathways, prognosis, chemosensitivity and treatment outcomes of breast cancer.

Authors:  Siddik Sarkar; Mahitosh Mandal
Journal:  Breast Cancer (Auckl)       Date:  2009-08-17

Review 4.  An overview of prognostic factors for long-term survivors of breast cancer.

Authors:  Isabelle Soerjomataram; Marieke W J Louwman; Jacques G Ribot; Jan A Roukema; Jan Willem W Coebergh
Journal:  Breast Cancer Res Treat       Date:  2007-03-22       Impact factor: 4.872

5.  Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time.

Authors:  Sarah Booth; Richard D Riley; Joie Ensor; Paul C Lambert; Mark J Rutherford
Journal:  Int J Epidemiol       Date:  2020-08-01       Impact factor: 7.196

  5 in total

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