Literature DB >> 11487267

Long-term cancer patient survival achieved by the end of the 20th century: most up-to-date estimates from the nationwide Finnish cancer registry.

H Brenner1, T Hakulinen.   

Abstract

A new method of survival analysis, denoted period analysis, has recently been developed, which has been shown to provide more up-to-date estimates of long-term survival rates than traditional methods of survival analysis. We applied period analysis to data from the nationwide Finnish cancer registry to provide up-to-date estimates of 5-, 10-, 15- and 20-year relative survival rates (RSR) achieved by the end of the 20th century. For most forms of cancer, period estimates of long-term survival are much higher than corresponding traditional survival estimates which suggests that for these cancers there has been ongoing major progress in survival rates in recent years which so far has remained undisclosed by traditional methods of survival analysis. For example, period analysis reveals that 10 year RSR have come close to (or even exceed) 80% for cancer of the corpus uteri and melanoma, 75% for breast cancer, 70% for bladder cancer, 65% for cancer of the cervix uteri, and 55% for cancer of the colon and prostate. Period analysis further reveals that 20 year RSR have now come close to (or even exceed) 75% for endometrial cancer and melanoma, 60% for breast cancer and cervical cancer, 55% for colon cancer and bladder cancer, and 40%-50% for cancer of the rectum, the ovaries, kidneys and nervous system. Copyright 2001 Cancer Research Campaign.

Entities:  

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Year:  2001        PMID: 11487267      PMCID: PMC2364068          DOI: 10.1054/bjoc.2001.1905

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  7 in total

1.  Trends in survival of patients with ovarian cancer in Saarland, Germany, 1976-1995.

Authors:  H Brenner; C Stegmaier; H Ziegler
Journal:  J Cancer Res Clin Oncol       Date:  1999       Impact factor: 4.553

2.  Survival of cancer patients in Finland 1955-1994.

Authors:  P W Dickman; T Hakulinen; T Luostarinen; E Pukkala; R Sankila; B Söderman; L Teppo
Journal:  Acta Oncol       Date:  1999       Impact factor: 4.089

3.  The relative survival rate: a statistical methodology.

Authors:  F EDERER; L M AXTELL; S J CUTLER
Journal:  Natl Cancer Inst Monogr       Date:  1961-09

4.  An alternative approach to monitoring cancer patient survival.

Authors:  H Brenner; O Gefeller
Journal:  Cancer       Date:  1996-11-01       Impact factor: 6.860

5.  Cancer statistics, 2000.

Authors:  R T Greenlee; T Murray; S Bolden; P A Wingo
Journal:  CA Cancer J Clin       Date:  2000 Jan-Feb       Impact factor: 508.702

6.  Deriving more up-to-date estimates of long-term patient survival.

Authors:  H Brenner; O Gefeller
Journal:  J Clin Epidemiol       Date:  1997-02       Impact factor: 6.437

7.  Recent improvement in survival of breast cancer patients in Saarland, Germany.

Authors:  H Brenner; C Stegmaier; H Ziegler
Journal:  Br J Cancer       Date:  1998-09       Impact factor: 7.640

  7 in total
  7 in total

Review 1.  Chronic diarrhoea following surgery for colon cancer-frequency, causes and treatment options.

Authors:  Jonathan Yde; Helene M Larsen; Søren Laurberg; Klaus Krogh; Hanne B Moeller
Journal:  Int J Colorectal Dis       Date:  2018-03-27       Impact factor: 2.571

2.  Breast cancer cell migration is regulated through junctional adhesion molecule-A-mediated activation of Rap1 GTPase.

Authors:  Elaine A McSherry; Kieran Brennan; Lance Hudson; Arnold D K Hill; Ann M Hopkins
Journal:  Breast Cancer Res       Date:  2011-03-23       Impact factor: 6.466

3.  Prediction of 10-year Overall Survival in Patients with Operable Cervical Cancer using a Probabilistic Neural Network.

Authors:  Bogdan Obrzut; Maciej Kusy; Andrzej Semczuk; Marzanna Obrzut; Jacek Kluska
Journal:  J Cancer       Date:  2019-07-10       Impact factor: 4.207

Review 4.  Global pattern and trends of colorectal cancer survival: a systematic review of population-based registration data.

Authors:  Yufei Jiang; Huiyun Yuan; Zhuoying Li; Xiaowei Ji; Qiuming Shen; Jiayi Tuo; Jinghao Bi; Honglan Li; Yongbing Xiang
Journal:  Cancer Biol Med       Date:  2021-09-06       Impact factor: 4.248

5.  Primary central nervous system lymphoma high incidence and poor survival in Finnish population-based analysis.

Authors:  Inka Puhakka; Hanne Kuitunen; Pekka Jäkälä; Eila Sonkajärvi; Taina Turpeenniemi-Hujanen; Aino Rönkä; Tuomas Selander; Miika Korhonen; Outi Kuittinen
Journal:  BMC Cancer       Date:  2022-03-03       Impact factor: 4.430

6.  Combining cohort and period methods for retrospective time trend analyses of long-term cancer patient survival rates.

Authors:  H Brenner; C Spix
Journal:  Br J Cancer       Date:  2003-10-06       Impact factor: 7.640

7.  Up-to-date estimates of long-term cancer survival in England and Wales.

Authors:  L K Smith; P C Lambert; D R Jones
Journal:  Br J Cancer       Date:  2003-07-07       Impact factor: 7.640

  7 in total

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