Multiple informants: A new method to assess breast cancer patients' comorbidity

American Journal of Epidemiology

Volumn 157, Issue 3, 2003, Pages 249-257

  Lash, Timothy L ^a,b,d   Thwin, Soe Soe ^a   Horton, Nicholas J ^a,b   Guadagnoli, Edward ^c   Silliman, Rebecca A ^a,b  

^a BOSTON UNIVERSITY SCHOOL OF PUBLIC HEALTH   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d BOSTON UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Breast neoplasms; Comorbidity; Epidemiologic factors; Epidemiologic methods

Indexed keywords

TAMOXIFEN;

EPIDEMIOLOGY; METHODOLOGY;

ADULT; AGED; ANALYTIC METHOD; ARTICLE; BREAST CANCER; CANCER THERAPY; COMORBIDITY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; REGRESSION ANALYSIS; STATISTICAL MODEL; UNITED STATES;

AGED; AGED, 80 AND OVER; ANTINEOPLASTIC AGENTS, HORMONAL; BREAST NEOPLASMS; COMORBIDITY; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; PROSPECTIVE STUDIES; TAMOXIFEN; UNITED STATES;

EID: 0037311142     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/kwf193     Document Type: Article

References (39)

1. Yancik R, Ganz PA, Varricchio CG, et al. Perspectives on comorbidity and cancer in older patients: approaches to expand the knowledge base. J Clin Oncol 2001;19:1147-51.
2. Newschaffer CJ, Bush TL, Penberthy LE, et al. Does comorbid disease interact with cancer? An epidemiologic analysis of mortality in a cohort of elderly breast cancer patients. J Gerontol A Biol Sci Med Sci 1998;53:M372-8.
3. Greenfield S, Blanco DM, Elashoff RM, et al. Patterns of care related to age of breast cancer patients. JAMA 1987;257:2766-70.
4. Fleming ST, Rastogi A, Dmitrienko A, et al. A comprehensive prognostic index to predict survival based on multiple comorbidities. A focus on breast cancer. Med Care 1999;37:601-14.
5. Yancik R, Wesley MN, Rise LA, et al. Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older. JAMA 2001;285:885-92.
6. Goodwin JS, Samet JM, Hunt WC. Determinants of survival in older cancer patients. J Natl Cancer Inst 1996;88:1031-8.
7. Satariano WA, Ragland DR. The effect of comorbidity on 3-year survival of women with primary breast cancer. Ann Intern Med 1994;120:104-10.
8. Bergman L, Dekker G, van Kerkhoff EHM, et al. Influence of age and comorbidity on treatment choice and survival in elderly patients with breast cancer. Breast Cancer Res Treat 1991;18:189-98.
9. West DW, Satariano WA, Ragland DR, et al. Comorbidity and breast cancer survival: a comparison between black and white women. Ann Epidemiol 1996;6:413-19.
10. Mandelblatt JS, Bierman AS, Gold K, et al. Constructs of burden of illness in older patients with breast cancer: a comparison of measurement methods. Health Serv Res 2001;36:1085-107.
11. Silliman RA, Troyan SL, Guadagnoli E, et al. The impact of age, marital status, and physician-patient interactions on the care of older women with breast carcinoma. Cancer 1997;80:1326-34.
12. Ballard-Barbash R, Potosky AL, Harlan LC, et al. Factors associated with surgical and radiation therapy for early stage breast cancer in older women. J Natl Cancer Inst 1996;88:716-26.
13. Newschaffer CJ, Penberthy L, Desch CE, et al. The effect of age and comorbidity in the treatment of elderly women with nonmetastatic breast cancer. Arch Intern Med 1996;156:85-90.
14. Mandelblatt JS, Hadley J, Kerner JF, et al. Patterns of breast carcinoma treatment in older women. Patient preference and clinical and physician influences. Cancer 2000;89:561-73.
15. Silliman RA, Lash TL. Comparison of interview-based and medical-record based indices of comorbidity among breast cancer patients. Med Care 1999;37:339-49.
16. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373-83.
17. Simpson C, Boyd C, Guralnik J, et al. Agreement between selfreport of disease diagnoses and medical record validation in disabled, older women: factors that modify agreement. (Abstract). American Geriatrics Society Annual Meeting, Chicago, Illinois, May 10-12, 2001:A35.
18. Malenka DJ, McLerran D, Roos N, et al. Using administrative data to describe casemix: a comparison with the medical record. J Clin Epidemiol 1994;47:1027-32.
19. Newschaffer CJ, Bush TL, Penberthy LT. Comorbidity measurement in elderly female breast cancer patients with administrative and medical records data. J Clin Epidemiol 1997;6:725-33.
20. Roos LL, Sharp SM, Cohen MM, et al. Risk adjustment in claims-based research: the search for efficient approaches. J Clin Epidemiol 1989;42:1193-206.
21. Horton NJ, Laird NM, Zahner GEP. Use of multiple informant data as a predictor in psychiatric epidemiology. Int J Methods Psych Res 1999;8:6-18.
22. Horton NJ, Laird NM, Murphy JM, et al. Multiple informants: mortality associated with psychiatric disorders in the Stirling County Study. Am J Epidemiol 2001;154:649-56.
23. Silliman RA, Guadagnoli E, Rakowski W, et al. Adjuvant tamoxifen prescription in women 65 years and older with primary breast cancer. J Clin Oncol 2002;20:2680-8.
24. The Steering Committee on Clinical Practice Guidelines for the Care and Treatment of Breast Cancer. Axillary dissection. Can Med Assoc J 1998;158(suppl 3):S22-S26.
25. The Steering Committee on Clinical Practice Guidelines for the Care and Treatment of Breast Cancer. Mastectomy or lumpectomy? The choice of operation for clinical stages I and II breast cancer. Can Med Assoc J 1998;158(suppl 3):S15-S21.
26. Katz JN, Chang LC, Sangha O, et al. Can comorbidity be measured by questionnaire rather than medical record review? Med Care 1996;34:73-84.
27. Greenfield S, Apolone G, McNeil BJ, et al. The importance of co-existent disease in the occurrence of postoperative complications and one-year recovery in patients undergoing total hip replacement. Comorbidity and outcomes after hip replacement. Med Care 1993;31:141-54.
28. Krousel-Wood MA, Abdoh A, Re R. Comparing comorbidillness indices assessing outcome variation: the case of prostatectomy. J Gen Intern Med 1996;11:32-8.
29. Nicolucci A, Cubasso D, Labbrozzi D, et al. Effect of coexistent diseases on survival of patients undergoing dialysis. ASAIO J 1992;38:M291-5.
30. Saklad M. Grading of patients for surgical procedures. Anesthesiology 1941;2:281-5.
31. House of Delegates of the American Society of Anesthesiologists, Inc. New classification of physical status. Anesthesiology 1963;24:111.
32. Cohen MM, Duncan PG. Physical status score and trends in anesthetic complications. J Clin Epidemiol 1988;41:83-90.
33. Cohen MM, Duncan PG, Tate RB. Does anesthesia contribute to operative mortality? JAMA 1988;260:2859-63.
34. Charlson ME, Sax F, MacKenzie CR, et al. Assessing illness severity: does clinical judgment work? J Chronic Dis 1986;39:439-52.
35. Ware JE, Snow KK, Kosinski M, et al. SF-36 health survey manual and interpretation guide. Boston, MA: The Health Institute, New England Medical Center, 1993.
36. Fleming ID, Cooper JS, Henson DE, et al. AJCC cancer staging manual. 5th ed. Philadelphia, PA: Lippincott Williams & Wilkins, 1997.
37. SAS Institute, Inc. Computer program, version 8. Cary, NC: SAS Institute, Inc, 1999.
38. Greenland S, Finkle WD. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol 1995;142:1255-64.
39. Horton NJ, Lipsitz SR. Review of software to fit generalized estimating equation regression models. Am Stat 1999;53:160-9.