1 / 97

Murray F. Brennan, M.D.

Why a Cancer Center. Murray F. Brennan, M.D. Why a Cancer Center?. Is cancer going to be a problem?. Estimated Global Incidence Rate All Cancers – by Age. Wilson CM, et al. Int J Gynecol Cancer 14:1-11:2004. Predicted Cancer Incidence Developing vs Industrialized Countries.

daniel-waters
Download Presentation

Murray F. Brennan, M.D.

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Why a Cancer Center Murray F. Brennan, M.D.

  2. Why a Cancer Center? • Is cancer going to be a problem?

  3. Estimated Global Incidence Rate All Cancers – by Age Wilson CM, et al. Int J Gynecol Cancer 14:1-11:2004.

  4. Predicted Cancer Incidence Developing vs Industrialized Countries Kanavos P, Ann Oncol 17:vii15-vii23, 2006.

  5. Increase in Cancer Mortality 1990-2020 Wilson CM, et al. Int J Gynecol Cancer 14:1-11:2004.

  6. Incidence & Mortality for Most Common Cancers in Less Developed & More Developed Countries Kanavos P, Ann Oncol 17:vii15-vii23, 2006.

  7. Why a Cancer Center Premise Cancer Care is disease based not discipline based

  8. Why a Cancer Center Premise When you focus your activities you improve outcome

  9. Table of Contents Why a Cancer Center • Improve cancer care • outcome, quality of life • Focus resources and people • Provide direction for others • Maximize use of resources • Maintain and retain staff • Educate • Research

  10. Why a Cancer Center Outcome Measures Improve Survival Improve Quality of Life

  11. Why a Cancer Center Improve Survival: • Prevention • Accurate diagnosis • Early Diagnosis • Improved treatment • Improved quality of life • Improved Care

  12. Why a Cancer Center Improve Survival: • Prevention • Smoking cessation

  13. Past & future Annual Deaths due to tobacco estimated worldwide 1950-2030 projected 7 Million projected 3 Million projected 2.1 million 2.1 million 2025 to 2030 1.3 million 2025 to 2030 0.3 million 0.2 million negligible 2000 2000 1975 1950 1950 1975 industrialized countries developing countries Deaths from Tobacco Smoking Of everyone alive today 500,000,000 Will eventually be killed by tobacco Mackay J, Eriksen M. The Tobacco Atlas. WHO 2002.

  14. 49% Smoking Rate for Men & Women Combined Mackay J, Eriksen M. The Tobacco Atlas. WHO 2002.

  15. The Demographics of Tobacco Kenya Mackay J, Eriksen M. The Tobacco Atlas. WHO 2002.

  16. A Hard Day’s SmokeNairobi, Kenya Minutes of labour worked to purchase 20 cigarettes Mackay J, Eriksen M. The Tobacco Atlas. WHO 2002.

  17. The Business of Tobacco Kenya Mackay J, Eriksen M. The Tobacco Atlas. WHO 2002.

  18. Uganda

  19. Why a Cancer Center Screening & Early Diagnosis Improve Outcome

  20. Cancer Control Programs in Brazil Wilson CM, et al. Int J Gynecol Cancer 14:1-11:2004.

  21. TIS n = 21 • T0 n =42 • T1 n = 416 • T2 n = 550 • T3 n = 750 • T4 n = 42

  22. Gastric AdenocarciomaRO Resections by Time • 1985-1989 n = 347 • 1990-1994 n = 411 • 1995-1999 n = 380 • 2000-2004 n = 567 MSKCC 7/1/85 – 6/30/05 n = 1705 p < 0.001

  23. Why a Cancer Center Improve Survival: • Improved Care • Patient • Accurate diagnosis • Appropriate first treatment • Volume & outcome • Surgeon • Volume vs outcome • Institution • Efficiency of scale • Resource utilization

  24. Why a Cancer Center Accurate Diagnosis: • Centralized referral • accuracy • efficient use of resources • standard for the nation

  25. Soft Tissue SarcomaHistopathology 1309 1037 1104 406 2758 184 204 MSKCC 7/1/82 – 6/30/06 n = 7002

  26. Non ”EWS family” gene fusions in sarcomas 65% 35% <1% 75% 10% 99% 99% 50%? 99%?

  27. Sarcomas Presenting in Unusual Primary Sites Confirmed by Translocation Data Sarcoma type Primary Sites Ewing Sarcoma Kidney Ovary Cervix Skin Pancreas Breast Lung Meninges Desmoplastic Small Brain Round Cell Tumor Parotid (DSRCT) Hand Synovial sarcoma Prostate Peritoneum Lung Kidney Heart Tongue

  28. “Pediatric” Sarcomas Confirmed in Older Adults (>50) by Translocation Data Typical Oldest Sarcoma type age range confirmed case Ewing Sarcoma 10-30 72 DSRCT 10-30 67 Alveolar 10-20 68 Rhabdomyosarcoma

  29. Why a Cancer Center Does centralization make a difference? If it does, how do we measure success? Does volume matter?

  30. Why a Cancer Center Questions: • Does volume matter? • surgeon volume? • institutional volume? • Does surgical specialization / training matter?

  31. Why a Cancer Center Outcome vs Volume • Operative survival • Long term survival

  32. Why a Cancer Center Perioperative Mortality

  33. Operative Mortality by Hospital VolumeEsophagectomy n = 503 p = 0.001 Begg CB, Cramer LD, Hoskins WJ, Brennan MF. JAMA 280:1747-1751, 1998.

  34. In-Hospital Mortality Hospital and Surgeon VolumeIncrease in Mortalitycompared to high volume surgeon, in high volume hospital Hannan EL, Brennan MF, et al Surgery 131:6-15, 2002.

  35. Why a Cancer Center Volume does matter in perioperative mortality / morbidity • What other factors influence outcome • Sex • Race • Age • Socioeconomic

  36. Hospital Volume vs Colon Cancer Hospital Volume 1991-1996 SEER – Medicare n = 27,986 Schrag D. JAMA 284:3028-3035, 2000. p <0.001

  37. Why a Cancer Center Volume matters for operative mortality • what about operative morbidity • length of stay

  38. Adenocarcinoma of the Pancreas - Resected Median Length of Stay (days) Year MSKCC 1984 - 2006

  39. Why a Cancer Center If volume matters, how much is enough?

  40. Why a Cancer Center Volume levels have to be procedure / disease specific

  41. Hospital VolumeVariation in Volume Loads Quantiles Procedures/year Medicare 1994-1999 Birkmeyer JD. N Engl J Med 346:1128-1137, 2002.

  42. Why a Cancer Center Measures of ‘success’ • perioperative mortality • length of stay • cost • long term survival

More Related