Literature DB >> 32998946

Estimating Population-Based Recurrence Rates of Colorectal Cancer over Time in the United States.

Natalia Kunst1,2,3,4, Fernando Alarid-Escudero5, Eline Aas6, Veerle M H Coupé3, Deborah Schrag7, Karen M Kuntz8.   

Abstract

BACKGROUND: Population-based metastatic recurrence rates for patients diagnosed with nonmetastatic colorectal cancer cannot be estimated directly from population-based cancer registries because recurrence information is not reported. We derived population-based colorectal cancer recurrence rates using disease-specific survival data based on our understanding of the colorectal cancer recurrence-death process.
METHODS: We used a statistical continuous-time multistate survival model to derive population-based annual colorectal cancer recurrence rates from 6 months to 10 years after colorectal cancer diagnosis using relative survival data from the Surveillance, Epidemiology, and End Results Program. The model was based on the assumption that, after 6 months of diagnosis, all colorectal cancer-related deaths occur only in patients who experience a metastatic recurrence first, and that the annual colorectal cancer-specific death rate among patients with recurrence was the same as in those diagnosed with de novo metastatic disease. We allowed recurrence rates to vary by post-diagnosis time, age, stage, and location for two diagnostic time periods.
RESULTS: In patients diagnosed in 1975-1984, annual recurrence rates 6 months to 5 years after diagnosis ranged from 0.054 to 0.060 in stage II colon cancer, 0.094 to 0.105 in stage II rectal cancer, and 0.146 to 0.177 in stage III colorectal cancer, depending on age. We found a statistically significant decrease in colorectal cancer recurrence among patients diagnosed in 1994-2003 compared with those diagnosed in 1975-1984 for 6 months to 5 years after diagnosis (hazard ratios between 0.43 and 0.70).
CONCLUSIONS: We derived population-based annual recurrence rates for up to 10 years after diagnosis using relative survival data. IMPACT: Our estimates can be used in decision-analytic models to facilitate analyses of colorectal cancer interventions that are more generalizable. ©2020 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2020        PMID: 32998946      PMCID: PMC7747688          DOI: 10.1158/1055-9965.EPI-20-0490

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  44 in total

1.  Adjuvant postoperative radiotherapy and chemotherapy in rectal carcinoma: a review of the Gastrointestinal Tumor Study Group experience.

Authors:  P R Thomas; A S Lindblad
Journal:  Radiother Oncol       Date:  1988-12       Impact factor: 6.280

2.  Colonoscopy Surveillance after Colorectal Cancer Resection: Recommendations of the US Multi-Society Task Force on Colorectal Cancer.

Authors:  Charles J Kahi; C Richard Boland; Jason A Dominitz; Francis M Giardiello; David A Johnson; Tonya Kaltenbach; David Lieberman; Theodore R Levin; Douglas J Robertson; Douglas K Rex
Journal:  Am J Gastroenterol       Date:  2016-02-12       Impact factor: 10.864

3.  Association Between Intensity of Posttreatment Surveillance Testing and Detection of Recurrence in Patients With Colorectal Cancer.

Authors:  Rebecca A Snyder; Chung-Yuan Hu; Amanda Cuddy; Amanda B Francescatti; Jessica R Schumacher; Katherine Van Loon; Y Nancy You; Benjamin D Kozower; Caprice C Greenberg; Deborah Schrag; Alan Venook; Daniel McKellar; David P Winchester; George J Chang
Journal:  JAMA       Date:  2018-05-22       Impact factor: 56.272

4.  Hepatic resection for metastatic colorectal cancer results in cure for some patients.

Authors:  R L Jamison; J H Donohue; D M Nagorney; C B Rosen; W S Harmsen; D M Ilstrup
Journal:  Arch Surg       Date:  1997-05

5.  Unfavourable pattern of metastases in M0 breast cancer patients during 1978-2008: a population-based analysis of the Munich Cancer Registry.

Authors:  Corina J G van den Hurk; Renate Eckel; Lonneke V van de Poll-Franse; Jan Willem W Coebergh; Johan W R Nortier; Dieter Hölzel; Wim P M Breed; Jutta Engel
Journal:  Breast Cancer Res Treat       Date:  2011-02-11       Impact factor: 4.872

Review 6.  Surgery for colorectal cancer in elderly patients: a systematic review. Colorectal Cancer Collaborative Group.

Authors: 
Journal:  Lancet       Date:  2000-09-16       Impact factor: 79.321

7.  A comparison of laparoscopically assisted and open colectomy for colon cancer.

Authors:  Heidi Nelson; Daniel J Sargent; H Sam Wieand; James Fleshman; Mehran Anvari; Steven J Stryker; Robert W Beart; Michael Hellinger; Richard Flanagan; Walter Peters; David Ota
Journal:  N Engl J Med       Date:  2004-05-13       Impact factor: 91.245

8.  Evidence for cure by adjuvant therapy in colon cancer: observations based on individual patient data from 20,898 patients on 18 randomized trials.

Authors:  Daniel Sargent; Alberto Sobrero; Axel Grothey; Michael J O'Connell; Marc Buyse; Thierry Andre; Yan Zheng; Erin Green; Roberto Labianca; Chris O'Callaghan; Jean Francois Seitz; Guido Francini; Daniel Haller; Greg Yothers; Richard Goldberg; Aimery de Gramont
Journal:  J Clin Oncol       Date:  2009-01-05       Impact factor: 44.544

9.  Risk of loco-regional recurrence and distant metastases of patients with invasive breast cancer up to ten years after diagnosis - results from a registry-based study from Germany.

Authors:  Bernd Holleczek; Christa Stegmaier; Julia C Radosa; Erich-Franz Solomayer; Hermann Brenner
Journal:  BMC Cancer       Date:  2019-05-30       Impact factor: 4.430

10.  Predicted impact of extending the screening interval for diabetic retinopathy: the Scottish Diabetic Retinopathy Screening programme.

Authors:  H C Looker; S O Nyangoma; D T Cromie; J A Olson; G P Leese; S Philip; M W Black; J Doig; N Lee; A Briggs; E J Hothersall; A D Morris; R S Lindsay; J A McKnight; D W M Pearson; N A Sattar; S H Wild; P McKeigue; H M Colhoun
Journal:  Diabetologia       Date:  2013-05-21       Impact factor: 10.122

View more
  2 in total

1.  CDX2 Biomarker Testing and Adjuvant Therapy for Stage II Colon Cancer: An Exploratory Cost-Effectiveness Analysis.

Authors:  Fernando Alarid-Escudero; Deborah Schrag; Karen M Kuntz
Journal:  Value Health       Date:  2021-11-02       Impact factor: 5.725

2.  MicroRNA Expression Profiling Predicts Nodal Status and Disease Recurrence in Patients Treated with Curative Intent for Colorectal Cancer.

Authors:  Matthew G Davey; Gerard Feeney; Heidi Annuk; Maxwell Paganga; Emma Holian; Aoife J Lowery; Michael J Kerin; Nicola Miller
Journal:  Cancers (Basel)       Date:  2022-04-23       Impact factor: 6.575

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.