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SHARON H. GIORDANO These databases are analogous to the unlinked Medicare data, in that they are health care claims without linkage to cancer registry data. They lack information on cancer incidence, stage, or survival, but they can provide detailed treatment information on younger, privately insured patients. One of the most commonly used data sets is Marketscan data, which consist of proprietary data sets licensed by Thomson Medstat Inc. The data undergo internal quality checks for reasonableness of data and validity before they are released, and they are HIPPA compliant. Marketscan is a large nationwide employment-based database that contains information on medical claims and outpatient prescription drug claims for employees and their spouses and dependents; the data represent claims from approximately 45 large employers, and Marketscan captures insurance claims data from over 100 payers. All fıles of claims data can be linked to the enrollment fıle via de-identifıed person identifıers. These data represent the medical experience of insured employees and their dependents for active employees, early retirees, COBRA continuees, and Medicare-eligible retirees. The specifıc demographic covariates available through Marketscan include patient age and sex, birth year, marital status, and three-digit zip codes. Information on race and ethnicity is not available. The Health Care Cost Institute (HCCI) is another source of data on the commercially insured population. The HCCI is a nonprofıt organization founded by academic economists to create a comprehensive source of information on health care activity and costs. Their research database covers about 40 million people, which represents approximately one-quarter of the population covered by employer-sponsored insurance. The data set contains claims from Aetna, Humana, Kaiser Permanente, and United Healthcare. The data capture complete payment information, including payments from both the benefıt plan and patient. Pharmacy and mail-order prescriptions are included. Other proprietary claims data include IMS LifeLink data, Perspective, and Optum Insight. These data sets can provide comprehensive information on younger, privately insured patients. However, these data sets also have some limitations beyond the lack of linked registry data. The continuous coverage in these data sets tends to be short, so longitudinal studies can be challenging. In addition, no information on survival is available, and thus long-term outcomes cannot be assessed. National Cancer Database The National Cancer Database (NCDB) is a clinical oncology database jointly sponsored by the American College of Surgeons and the American Cancer Society. This database collects information from hospital registries that are Commission on Cancer (CoC)-accredited facilities. This includes more than 1,500 hospitals in the United States and Puerto Rico. The database is quite extensive and covers approximately 70% of newly diagnosed cancer cases in the United States. 17 The data include information on patient characteristics, pathology, stage, prognostic factors, treatment, and outcomes. The strength of these data is the collection of clinically rich information, but the generalizability is somewhat limited because the data are not population based. CONCLUSION In summary, observational data can be a powerful resource for comparative effectiveness studies in cancer research. Observational studies are particularly useful to fıll in gaps in data from randomized studies or when randomized studies cannot be conducted. Researchers must be cognizant of the risk of selection biases and confounding in observational research and must design studies carefully to minimize the risk of bias. The Agency for Healthcare Research and Quality’s Effective Health Care Program has provided a checklist for considerations in study design when observational comparative effectiveness studies are proposed. 4 Given careful and thoughtful study design, observational studies can provide important and clinically relevant comparative effectiveness information in real-world populations. Finally, with the increasing use of electronic medical records and the ability to access large national data sets, this area of research is likely to continue to grow in scope and impact. Disclosures of Potential Conflicts of Interest The author(s) indicated no potential conflicts of interest. References 1. Patient-Centered Outcomes Research Institute. www.pcori.org-aboutus. Accessed February 9, 2015. 2. Sox HC, Greenfıeld S. Comparative effectiveness research: a report from the Institute of Medicine. Ann Intern Med. 2009;151:203-205. 3. Hutchins LF, Unger JM, Crowley JJ, et al. Underrepresentation of patients 65 years of age or older in cancer-treatment trials. N Engl J Med. 1999;341:2061-2067. 4. Agency for Health Care Research and Quality. Methods Guide for Effectiveness and Comparative Effectiveness Reviews. AHRQ Publication no. 10(14)-EHC063-EF. Rockville, MD: Agency for Healthcare Research and Quality; 2014. 5. Giordano SH, Kuo YF, Duan Z, et al. Limits of observational data in determining outcomes from cancer therapy. Cancer. 2008;112:2456- 2466. 6. Rubin DB. Estimating causal effects from large data sets using propensity scores. Ann Intern Med. 127:1997;757-763. 7. Bekelman JE, Handorf EA, Guzzo T, et al. Radical cystectomy versus bladder-preserving therapy for muscle-invasive urothelial carcinoma: ex- e334 2015 ASCO EDUCATIONAL BOOK | asco.org/edbook
COMPARATIVE EFFECTIVENESS RESEARCH IN CANCER WITH OBSERVATIONAL DATA amining confounding and misclassifıcation bias in cancer observational comparative effectiveness research. Value Health. 2013;16:610-618. 8. Punglia RS, Saito AM, Neville BA, et al. Impact of interval from breast conserving surgery to radiotherapy on local recurrence in older women with breast cancer: retrospective cohort analysis. BMJ. 2010;340:c845. 9. Hershman DL, Wright JD. Comparative effectiveness research in oncology methodology: observational data. J Clin Oncol. 2012;30:4215-4222. 10. Surveillance, Epidemiology, and End Results Program. http://seer. cancer.gov. Accessed February 9, 2015. 11. Jagsi R, Abrahamse P, Hawley ST, et al. Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data. Cancer. 2012;118:333-341. 12. Malin JL, Kahn KL, Adams J, et al. Validity of cancer registry data for measuring the quality of breast cancer care. J Natl Cancer Inst. 2002;94:835-844. 13. Nattinger AB, Laud PW, Bajorunaite R, et al. An algorithm for the use of Medicare claims data to identify women with incident breast cancer. Health Serv Res. 2004;39:1733-1750. 14. Warren JL, Klabunde CN, Schrag D, et al. Overview of the SEER- Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002;40(8 suppl):IV- 3-18. 15. National Cancer Institute. SEER-Medicare Linked Database. http:// appliedresearch.cancer.gov/seermedicare. Accessed February 9, 2015. 16. Ambs A, Warren JL, Bellizzi KM, et al. Overview of the SEER-Medicare Health Outcomes Survey linked dataset. Health Care Financ Rev. 2008; 29:5-21. 17. American College of Surgeons. National Cancer Data Base. www. facs.org/qualityprograms/cancer/ncdb. Accessed February 9, 2015. asco.org/edbook | 2015 ASCO EDUCATIONAL BOOK e335
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AMERICAN SOCIETY OF CLINICAL ONCOLO
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American Society of Clinical Oncolo
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Controversies in Neoadjuvant Therap
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Clinical Trials of Precision Medici
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Managing Ovarian Cancer in the Olde
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2015 ASCO Annual Meeting Disclosure
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2015 Educational Book Expert Panel
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James Marshall, PhD Roswell Park Ca
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2015 Annual Meeting Supporters* MIS
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David Yurman Corporate Allies Conqu
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REFORMING THE BUY-AND-BILL CHEMOTHE
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CARE DELIVERY AND PRACTICE MANAGEME
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INTEGRATING ICD-10 IN YOUR PRACTICE
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STUART M. LICHTMAN include a Geriat
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ZARDAVAS AND PICCART-GEBHART TABLE
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ZARDAVAS AND PICCART-GEBHART TABLE
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MICHAEL A. POSTOW Managing Immune C
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PRECISION THERAPY FOR RECTAL CANCER
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MARWAN FAKIH TABLE 3. EGFR Targetin
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MARWAN FAKIH TABLE 6. EGFR Targetin
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CERCEK, CUSACK, AND RYAN Treatment
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GASTROINTESTINAL (NONCOLORECTAL) CA
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ABOU-ALFA ET AL sess liver function
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ABOU-ALFA ET AL tinuing liver injur
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ABOU-ALFA ET AL mors including HCC,
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ABOU-ALFA ET AL HCC (Anti-Programme
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AHN ET AL Making Sense of Current a
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AHN ET AL Pancreatic cancer has bee
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AHN ET AL Disclosures of Potential
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EGIDIO DEL FABBRO tion of precachex
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EGIDIO DEL FABBRO FIGURE 3. Mechani
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EGIDIO DEL FABBRO II RCT of ghrelin
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EGIDIO DEL FABBRO 22. Tan BH, Birds
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THE SPECTRUM OF NEUROENDOCRINE TUMO
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CHALLENGING THE TREATMENT PARADIGM
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STAGE I TESTICULAR GERM CELL CANCER
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STAGE I TESTICULAR GERM CELL CANCER
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GERM CELL TUMORS: LOOKING TO THE FU
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SALVAGE CHEMOTHERAPY Salvage Therap
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SALVAGE CHEMOTHERAPY References 1.
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EARLY CHEMOTHERAPY IN MEN WITH META
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RADIUM 223 AND METASTATIC CASTRATIO
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RADIUM 223 AND METASTATIC CASTRATIO
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IMMUNOTHERAPY FOR PROSTATE TUMORS I
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PROMISING STRATEGIES IN BLADDER CAN
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GYNECOLOGIC CANCER Cervical Cancer
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HEMATOPOIETIC CELL TRANSPLANTATION
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BEYOND SECOND-LINE TREATMENT FOR LU
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LUNG CANCER New Therapies for Histo
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GERBER, PAIK, AND DOWLATI a tumor t
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GERBER, PAIK, AND DOWLATI squamous
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GERBER, PAIK, AND DOWLATI gression
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GERBER, PAIK, AND DOWLATI Disclosur
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GERBER, PAIK, AND DOWLATI enzyme in
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GERBER, PAIK, AND DOWLATI receptor
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BERNARDO H.L. GOULART every 6 month
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BERNARDO H.L. GOULART lung-cancer/l
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LUNG CANCER Updates in the Multimod
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WOODARD AND JABLONS section, becaus
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NASSER HANNA Current Standards and
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NASSER HANNA At the 2014 ASCO Annua
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NASSER HANNA culty of this task. Va
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LYMPHOMA AND PLASMA CELL DISORDERS
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NOWAKOWSKI AND CZUCZMAN sociated wi
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NOWAKOWSKI AND CZUCZMAN trial is in
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NOWAKOWSKI AND CZUCZMAN 15. Aragon-
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DAVID W. SCOTT Cell-of-Origin in Di
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DAVID W. SCOTT FIGURE 1. The Origin
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DAVID W. SCOTT FIGURE 3. The Lymph2
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CHEAH, OKI, AND FANALE Novel Treatm
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STEPHEN ANSELL Disclosures of Poten
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MATEOS AND SAN MIGUEL Smoldering Mu
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BHUTANI, LANDGREN, AND USMANI of th
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BHUTANI, LANDGREN, AND USMANI FIGUR
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MOREAU AND TOUZEAU Multiple Myeloma
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MOREAU AND TOUZEAU Group consensus
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LYMPHOMA AND PLASMA CELL DISORDERS
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MANAGEMENT OF CLL Up-Front Manageme
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MANAGEMENT OF CLL than 17p-/TP53mut
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MANAGEMENT OF CLL could be associat
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MANAGEMENT OF CLL tion by nonmalign
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MANAGEMENT OF CLL fludarabine and c
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MANAGEMENT OF CLL lymphocytic leuke
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PROGNOSTIC FACTORS AND ADJUVANT RAD
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MERKEL CELL CARCINOMA Merkel Cell C
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MERKEL CELL CARCINOMA tions in PIK3
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MERKEL CELL CARCINOMA treating MCC
Page 724 and 725:
MERKEL CELL CARCINOMA 32. Leonard J
Page 726 and 727:
MELANOMA/SKIN CANCERS Locoregional
Page 728 and 729:
PERFUSION AND INFUSION IN THE ERA O
Page 730 and 731:
Page 732 and 733:
Page 734 and 735:
NEOADJUVANT THERAPY OF MELANOMA Neo
Page 736 and 737:
NEOADJUVANT THERAPY OF MELANOMA TAB
Page 738 and 739:
NEOADJUVANT THERAPY OF MELANOMA ity
Page 740 and 741:
NEOADJUVANT THERAPY OF MELANOMA 4.
Page 742 and 743:
MELANOMA/SKIN CANCERS Targeted Mole
Page 744 and 745:
SULLIVAN ET AL FIGURE 1. Relevant S
Page 746 and 747:
SULLIVAN ET AL Resistance to BRAF i
Page 748 and 749:
SULLIVAN ET AL TABLE 1. Clinical Tr
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SULLIVAN ET AL 17. Halait H, Demart
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SULLIVAN ET AL NRAS-mutant melanoma
Page 754 and 755:
KLEPIN, RODIN, AND HURRIA Treating
Page 756 and 757:
KLEPIN, RODIN, AND HURRIA plication
Page 758 and 759:
KLEPIN, RODIN, AND HURRIA plan was
Page 760 and 761:
KLEPIN, RODIN, AND HURRIA patient-s
Page 762 and 763:
KLEPIN, RODIN, AND HURRIA 62. Blanc
Page 764 and 765:
PERIPHERAL NEUROTOXICITY IN CANCER
Page 766 and 767:
Page 768 and 769:
Page 770 and 771:
Page 772 and 773:
PARTRIDGE, JACOBSEN, AND ANDERSEN C
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PARTRIDGE, JACOBSEN, AND ANDERSEN c
Page 776 and 777:
PARTRIDGE, JACOBSEN, AND ANDERSEN w
Page 778 and 779:
PARTRIDGE, JACOBSEN, AND ANDERSEN v
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LESLIE R. SCHOVER Sexual Healing in
Page 782 and 783:
LESLIE R. SCHOVER tinuous ADT in pr
Page 784 and 785:
LESLIE R. SCHOVER 12. Potosky AL, H
Page 786 and 787:
CATHERINE H. VAN POZNAK TABLE 1. Wo
Page 788 and 789:
CATHERINE H. VAN POZNAK (tamoxifen,
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CATHERINE H. VAN POZNAK TABLE 3. FD
Page 792 and 793:
CATHERINE H. VAN POZNAK premenopaus
Page 794 and 795:
SHARI GOLDFARB KEY POINTS Brea
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SHARI GOLDFARB and friction with va
Page 798 and 799:
SHARI GOLDFARB importance both duri
Page 800 and 801:
PATIENT AND SURVIVOR CARE Moving Su
Page 802 and 803:
MAYER ET AL TABLE 1. Quality Metric
Page 804 and 805:
MAYER ET AL to enhance the quality
Page 806 and 807:
MAYER ET AL FIGURE 2. (A) Infertili
Page 808 and 809:
MAYER ET AL efıcial suggests that
Page 810 and 811:
PATIENT AND SURVIVOR CARE The Chall
Page 812 and 813:
BRUERA AND PAICE Choice of Opioid a
Page 814 and 815:
BRUERA AND PAICE toxicity and proce
Page 816 and 817:
BRUERA AND PAICE effective. Basic s
Page 818 and 819:
PEDIATRIC ONCOLOGY Real-Time Molecu
Page 820 and 821:
CARROLL, RAETZ, AND MEYER KEY POINT
Page 822 and 823:
CARROLL, RAETZ, AND MEYER most are
Page 824 and 825:
CARROLL, RAETZ, AND MEYER markers a
Page 826 and 827:
PEDIATRIC ONCOLOGY Translating Surv
Page 828 and 829:
REDUCING THE BURDEN OF LATE EFFECTS
Page 830 and 831:
Page 832 and 833:
Page 834 and 835:
Page 836 and 837:
PROFESSIONAL DEVELOPMENT The Challe
Page 838 and 839:
ADVANCES IN WEBSITE INFORMATION RES
Page 840 and 841:
Page 842 and 843:
Page 844 and 845:
Page 846 and 847:
COMMUNICATION AND TECHNOLOGY: IT’
Page 848 and 849:
Page 850 and 851:
Page 852 and 853:
PATIENT-REPORTED OUTCOMES IN ONCOLO
Page 854 and 855:
PATIENT-REPORTED OUTCOMES IN ONCOLO
Page 856 and 857:
PROFESSIONAL DEVELOPMENT Trends, An
Page 858 and 859:
CLINICAL ONCOLOGY PRACTICE 2015 FIG
Page 860 and 861:
CLINICAL ONCOLOGY PRACTICE 2015 (6.
Page 862 and 863:
CLINICAL ONCOLOGY PRACTICE 2015 Pro
Page 864 and 865:
ADJUVANT/NEOADJUVANT MEDICAL THERAP
Page 866 and 867:
Page 868 and 869:
Page 870 and 871:
INDICATIONS FOR ADJUVANT RADIATION
Page 872 and 873:
Page 874 and 875:
Page 876 and 877:
Page 878 and 879:
SARCOMA Latest Advances in Systemic
Page 880 and 881:
SYSTEMIC THERAPY FOR OSTEOSARCOMA A
Page 882 and 883:
SYSTEMIC THERAPY FOR OSTEOSARCOMA A
Page 884 and 885:
RETHINKING TREATMENT FOR CHONDROSAR
Page 886 and 887:
Page 888 and 889:
Page 890 and 891:
Page 892 and 893:
BONE SARCOMAS IN ADULTS local disea
Page 894 and 895:
BONE SARCOMAS IN ADULTS structure a
Page 896 and 897:
SARCOMA Well-Differentiated and Ded
Page 898 and 899:
ABBAS MANJI ET AL ticular region. 7
Page 900 and 901:
ABBAS MANJI ET AL MYXOID (ROUND CEL
Page 902 and 903:
ABBAS MANJI ET AL versus doxorubici
Page 904 and 905:
SHLUSH AND HERSHKOVITZ Clonal Evolu
Page 906 and 907:
SHLUSH AND HERSHKOVITZ FIGURE 1. Ti
Page 908 and 909:
TUMOR BIOLOGY New Strategies to Und
Page 910 and 911:
KNAPP, DHAWAN, AND OSTRANDER in dog
Page 912 and 913:
KNAPP, DHAWAN, AND OSTRANDER TABLE
Page 914 and 915:
KNAPP, DHAWAN, AND OSTRANDER 14. Fe
Page 916 and 917:
SOURBIER, SRINIVASAN, AND LINEHAN M
Page 918 and 919:
SOURBIER, SRINIVASAN, AND LINEHAN F
Page 920 and 921:
SOURBIER, SRINIVASAN, AND LINEHAN T
Page 922:
Author Index Abbas Manji, Gulam ...
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