|
|||||
|
|
||||||
Journal of Clinical Oncology, Vol 25, No 5 (February 10), 2007: pp. 548-554 © 2007 American Society of Clinical Oncology. DOI: 10.1200/JCO.2005.03.9800 Complementary and Alternative Medicine Among Advanced Cancer Patients Enrolled on Phase I Trials: A Study of Prognosis, Quality of Life, and Preferences for Decision Making
From the Department of Medicine, Section of Hematology/Oncology, MacLean Center for Clinical Medical Ethics, the Cancer Research Center, The University of Chicago, Chicago, IL; and Department of Sociology, University of Utah, Salt Lake City, UT Address reprint requests to Christopher K. Daugherty, MD, University of Chicago, 5841 S Maryland Ave, MC 2115, Chicago, IL 60637; e-mail: cdaugher{at}medicine.bsd.uchicago.edu
Purpose: We sought to describe complementary and alternative medicine (CAM) usage among phase I trial participants and to describe these patients' treatment decision-making preferences, awareness of prognosis, survival, and quality of life. Patients and Methods: Advanced cancer patients enrolling onto phase I trials were surveyed regarding biologically based CAM use. Decision-making preferences and awareness of prognosis were assessed using validated and/or standardized instruments. The Functional Assessment of Cancer TherapyGeneral instrument was used to assess quality of life. Univariate and multivariate analyses were performed to detect differences between CAM users and nonusers. Results: Of 212 interviewed patients, 34% (n = 72) described taking biologically based CAM. Median age of those taking biologically based CAM was 55 years, compared with 62 years for nonusers (P < .005). There were no statistically significant differences found between CAM usage and preferences for degree of patient involvement in medical decision making. Those patients who acknowledged that their deaths were likely to occur within 1 year were more likely to admit to prior CAM use (70% v 34%; P = .02). CAM users had poorer overall quality of life compared with nonusers (87.0 ± 12.4 v 91.2 ± 14.7; P = .007). No differences in survival were identified. Conclusion: Prior CAM use among phase I cancer trial patients studied was common and associated with age, stated acknowledgment of prognosis, and quality of life. Patients enrolling onto early-phase trials should be questioned about CAM use. Additional study is needed to determine the frequency of use of those biologically based CAM agents that threaten the accuracy of early-phase cancer trial data.
The use of complementary and alternative medicine (CAM) is the use of unproven interventions by individuals in conjunction with, or in place of, traditional or conventional means of treatment of various diseases or disease-related symptoms. The National Institutes of Health's National Center for Complementary and Alternative Medicine has divided CAM into five categories.1 Biologically based therapies is the category of compounds found in nature, or are natural products considered as unconventional means of treatment. Examples of biologically based modalities include the use of vitamins, minerals, herbal remedies, and diet. Documented trends of all forms of CAM usage for the general population in the United States range from approximately 34% to 42%.2,3 With regard to use of CAM among cancer patients, some reports have described as many as 83% using some form of CAM.4-17 Prior studies have focused on general aspects pertaining to CAM use in cancer care, including which patients may be more likely to use CAM therapies, and their perceptions and motivations toward use.6-19 Other studies have attempted to examine the relationships of CAM use with decision-making behavior, survival, and quality of life (QOL).4,5,19-28 Recent studies have also attempted to examine the safety and efficacy of various CAM therapies and some (such as shark cartilage or certain dietary supplements) have been found to cause severe toxicity.5,7,9-11,16-18,28-41 Still others have been identified as reducing chemotherapy efficacy.31,34-46 Although the study of CAM use among the general patient population is relatively widespread, less attention has been given to the study of CAM use (and biologically based CAM use, in particular) among patients enrolled onto clinical trials.47-49 Such research is needed, especially given that clinical trials have been designed to collect information in a controlled setting, and trial outcomes are presumed to be related solely and exclusively to the experimental agent(s) under study. Phase I trials in particular are likely to be very sensitive to the issue of biologically based CAM use among trial participants because of the relatively small sample sizes involved and the fact that the aim of these trials is to identify an agent's toxicity and/or identify an optimal biologic dose. Thus, CAM use in a phase I trial has the potential to cast doubt on any resulting toxicity data. Only one previous report has described CAM use among phase I trial participants.49 In this study, 80% to 90% of approximately 100 phase I trial patients surveyed at Mayo Clinic (Rochester, MN) admitted to using some form of CAM, including both nonbiologically and biologically based agents. Given these issues, we studied advanced cancer patients enrolling onto phase I trials at our institution seeking to describe the general usage rates of biologically based CAM. Secondary objectives were to explore social and demographic factors associated with CAM use, describe potential differences in treatment decision-making preferences among CAM users and nonusers, and to investigate associations of CAM use with awareness of prognosis and QOL.
Patients Institutional review board approval was obtained before initiation of the study. Potential participants who had recently provided informed consent to participate in a phase I trial were selected from the University of Chicago's Advanced Solid Tumor Clinic. Approximately 7 to 10 days after providing informed consent for a phase I trial and within 1 week of first receiving an investigational agent(s), patients were approached for the interview. The interview occurred either that same day or on their next scheduled visit. Eligibility requirements for phase I trials at our institution traditionally has included the ability to give informed consent, age 18 years, a prognosis of at least 3 months, a Karnofsky performance status 60%, and a documented diagnosis of advanced cancer that has either proven refractory to standard therapy or for which no identifiable standard therapy is available. Given the goals of the phase I trials, as a routine, cancer patients enrolling in phase I trials at our institution are informed of the need to avoid use of any and all ingested compounds, agents, and medicines unless medically indicated and/or discussed with the involved phase I investigators.
Survey Methods Interviewer. Two interviewers conducted all interviews. Interviewers had prior training in either the behavioral sciences or medical ethics, and had prior experience obtaining medical histories and conducting surveys of advanced cancer patients. All interview data were entered into a secure database using available statistical software (STATA version 8.0; STATA Corp, College Station, TX). Missing responses, responses that did not fit into one of the specific item responses, and items in which patients provided more than one response to a survey item were all considered missing. Survey instruments. The survey information obtained included sociodemographic and clinical information. With a focus on biologically based CAM, questions pertaining to patients' prior usage of CAM were open ended: "Have you ever taken what are sometimes called unorthodox therapies?" A series of examples were provided for clarification. If a patient responded that he or she had used CAM, the specific names or types of CAM were recorded. If the patient had not used CAM, and especially given a clinical trial patients' potential unwillingness to volunteer use due to the phase I program's stated prohibitions, they were then asked: "Have you ever considered taking such therapies?" We did not ask these individuals if they were actively taking or planning on taking these unproven compounds because they had all been instructed specifically not to take them, and we were concerned that patients still taking CAM might not honestly reveal their consumption. Preferences for medical decision making were assessed using a validated instrument that elicits preferences for shared, patient-centered, or physician-centered decision making.56 Patients were also asked questions pertaining to their awareness of prognosis adapted from work by Hinton.57 These questions asked patients to estimate the likelihood of death occurring from cancer within no specified timeframe and within 1 year, with possible responses as follows: "It is certain that it (death) will occur"; "It is probable that it will occur"; "It is not probable it will occur"; or "It is not possible it will occur." All patients completed the Functional Assessment of Cancer TherapyGeneral (FACT-G) QOL instrument.58 Data on patients' subsequent length of survival were obtained from the phase I program's deceased record database or from the Social Security Database Index.59
Statistical Methods
Two hundred twenty advanced cancer patients who had recently provided consent to enroll onto a phase I trial were approached for our interview study, with a total of 212 patients consenting and completing an interview (95% response rate). During approximately 18 months of the study, 275 patients enrolled onto a phase I trial at the University of Chicago. Although it was a sample of convenience, our interviewed population represented 80% of the overall enrolled phase I population. Of the 212 interviewed patients, 34% (n = 72) admitted to having taken biologically based CAM and an additional 30% admitted to having at least considered the possibility of taking these agents.
Characteristics of Phase I CAM Users and Nonusers
Types of CAM Use The various types of biologically based CAM therapies named by patients are listed in Table 2. Specific examples included vitamins/minerals and herbal supplements such as vitamins A, C, D, E, and B12; selenium; magnesium; zinc; copper; cat's claw; laetrile; St John's wort; milk thistle; ginseng; and echinacea. Although not specifically solicited, some patients described using nonbiologically based CAM, including acupuncture, diet, meditation, healing touch, holistic, prayer, imagery, exercise, and counseling/therapy.
Decision-Making Preferences of CAM Users and Nonusers No linear trend was detected between CAM usage and patient preferences for degree of involvement in medical decision making (OR, 1.2; P = .3). However, only one of six patients who preferred to make medical decisions themselves without any physician involvement reported CAM use, and only two of 11 patients who preferred to defer completely to their physician for decisions reported CAM use. Thus, in an exploratory analysis, we grouped the data into two categories designating individuals as having preferences for either the presence of a sole decision maker (defined as preferring either exclusively physician-focused or exclusively patient-focused decision making), or preferences for some form of shared/collaborative decision making (defined as preferring some combination of physician and patient involvement in decision making). In this exploratory analysis, although results lacked statistical significance, individuals who did not have preferences for any form of shared decision making were less likely to use CAM than those who preferred shared decision making (15% v 36%; P = .08).
Awareness of Prognosis Among CAM Users and Nonusers Median length of survival for the total population was 7.3 months (range, 0.23 to 48.7 months). No differences in overall survival were found between self-described CAM users and nonusers (median, 7.4 v 7.3 months, respectively). Survival was undetermined for 22 patients and five patients were still alive at the time of analyses.
QOL Assessment
Prior research has described multiple characteristics of patients enrolled onto phase I cancer clinical trials, including preferences for decision making, expectations of benefit, and awareness of prognosis,50-55,61-67 and the finding that phase I cancer clinical trial patients have significant and unrealistic expectations of benefit.67 Our research findings are unique in that they are the first to describe many of these topics in relation to biologically based CAM usage. Our data document that the incidence of prior biologically based CAM usage among advanced cancer patients enrolling onto phase I trials is significant and consistent with previously described CAM usage rates among both the general and cancer patient populations. Our data also describe the overall survival and QOL of this unique group of advanced cancer patients. We believe our results have potentially serious consequences with regard to the reliability of early-phase trial results, given that small cohorts of patients are enrolled sequentially in a phase I trial (eg, three patients at a time) and they are each given a uniform dose and schedule of the agent under study. This small cohort is then used to describe any toxicity associated with that dose. Particularly troublesome unproven therapies taken by patients could adversely affect the reliability of toxicity data. For example, St John's wort and high-dose vitamin C were used by patients and are known to have potentially significant interactions with chemotherapy.42 Thus, biologically based CAM use could result in an investigational agent's toxicity to be overestimated or underestimatedwith subsequent cohorts being underdosed or overdosed with the agent. Previous studies have found that CAM users are more likely to be female, younger, and educated.2,6,9-11,14-16 Although patients admitting to CAM usage in our study were primarily male, this is likely reflective of the fact that most phase I patients were male at our institution (Table 1). Consistent with prior research, younger age was associated with CAM usage in our study.6,7,9-11,14,49 However, as opposed to other studies, we did not find education to be associated with CAM use.6,7,9-11,14,49 As mentioned, only one prior report has described CAM use among phase I trial cancer patients and described a significantly higher percentage of CAM use than found within our population.49 These differences in self-described CAM use between the two populations are not clear, but may relate to differences in the type and rigor of phase I trials being conducted between the two involved institutions, selection bias in the types of patients enrolling at the respective institutions, and methods used to query patients about CAM use. Although a statistically significant result was not observed, an interesting finding in our study is that patients with preferences for shared patient-physician medical decision making were more likely to report CAM usage. Although the majority of patients enrolled onto a phase I trial stated a preference for shared decision making, several patients preferred to either be the sole decision maker or defer decision making to their physician. Of these 17 individuals who did not prefer shared decision making, only three reported CAM use. We believe that this is likely to be more than just a random event, and additional research examining potential relationships between preferences for involvement in medical decision making and CAM use is warranted. Although previous studies have shown that CAM users have been described as preferring shared decision making,4,5,15 our results suggest that patients who state a preference for making decisions exclusively by themselves may be just as unlikely to use CAM as those patients who defer decision making exclusively to their physician. One possible hypothesis to explain why patients who prefer to defer decision making to their physician would be unlikely to use CAM is that they would not ingest any substance without direct guidance or prescription by a physician. More perplexing is a hypothesis to explain why patients who prefer to be the sole decision maker are less likely to use CAM. It is possible that these individuals are more likely to have educated themselves and/or be more evidenced based in their medical decision making and, thus, understand that CAM should not be used in a phase I trial for the same reasons that physicians themselves would not support its use. Patients who were more pessimistic regarding their prognoses were more likely to report CAM use. However, given the lack of statistical significance and the great potential for nonresponder bias in our data, caution must be advised in attempting to interpret these findings. As reviewed elsewhere,53 given the noted difficulties in attempting to obtain quantifiable responses from advanced cancer patients about their understanding of their prognosis, it is difficult (at best) to draw any firm conclusions from these data. Yet, we do believe that these issues warrant additional study. Our correlation between CAM usage and poorer QOL is consistent with other studies of cancer patients not enrolled onto clinical trials.4,5,12,14,15,22-24,68 CAM users were less likely to report feeling supported by family or friends, and had lower EWB scores than nonusers. In fact, the mean EWB score for CAM users is significantly lower than EWB scores reported for the general cancer population.57 Our own prior research findings have indicated that phase I cancer patients as a group generally maintain a slightly higher EWB than the general cancer patient population, and are no more likely to report emotional distress.50,51,53,57 Given these data, those advanced cancer patients enrolling onto phase I trials who report using CAM may be at particularly greater risk for emotional and psychological distress. Although the differences in overall QOL scores between CAM users and nonusers are relatively modest (approximately 5% difference between the two groups), these differences clearly are statistically significant and we believe they are clinically significant. Prior QOL research has been able to show that even minimal differences in QOL scores are clinically relevant.69-73 Some of these modest differences have been due to specific differences in isolated domains of QOL (eg, pain or poor functional status). Thus, we believe the differences in QOL scores between CAM users and nonusers are clinically significant, particularly if one considers the significantly lower EWB scores for CAM users.51 In conclusion, although overall respect for the decision-making preferences of patients enrolling onto a clinical trial should be maintained, physician-investigators need to be fully aware of their patients' potential CAM use to both effectively care for these patients and conduct scientifically sound clinical trials. Patients participating in early-phase trials should be questioned intensively (yet sensitively) about current or planned CAM use. Those who are younger or those identified as having poorer QOL may be more likely to use CAM. Patients who are known to be using biologically based CAM should be excluded from trials of experimental agents because they create unknown risks to themselves and other potential trial participants, and lead to potentially unreliable clinical trial data. We believe additional research regarding cancer patients' use of CAM should include studying patients' preferences for decision making involvement and perceptions about the terminal nature of their disease. Additional study is also needed to determine more specifically the frequency of use of those (biologically based) forms of CAM that pose the most significant potential threat to the reliability of early-phase trial data.
The authors indicated no potential conflicts of interest.
Conception and design: Fay J. Hlubocky, Christopher K. Daugherty Administrative support: Mark J. Ratain Provision of study materials or patients: Mark J. Ratain Collection and assembly of data: Fay J. Hlubocky, Christopher K. Daugherty Data analysis and interpretation: Fay J. Hlubocky, Ming Wen, Christopher K. Daugherty Manuscript writing: Fay J. Hlubocky, Mark J. Ratain, Christopher K. Daugherty Final approval of manuscript: Fay J. Hlubocky, Mark J. Ratain, Ming Wen, Christopher K. Daugherty
We thank David Cella, PhD, for very helpful comments and expertise regarding the interpretation of the QOL data that appear in this article.
Supported by grants from the Soros Foundation Project on Death in America (Faculty Scholar Program [C.K.D.] and the National Institutes of Health [C.K.D.; Grant No. RO1 CA 087605-01A1]). Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.
1. National Center for Complementary and Alternative Medicine: NCCAM Facts-at-a-Glance. http://altmed.od.nih.gov/about/aboutnccam 2. Eisenberg DM, Kessler RC, Foster C, et al: Unconventional medicine in the United States: Prevalence, costs, and patterns of use. N Engl J Med 328:246-252, 1993 3. Eisenberg DM, Davis RB, Ettner SL, et al: Trends in alternative medicine use in the United States, 1990-1997: Results of a follow-up national survey. JAMA 280:1569-1575, 1998 4. Astin JA: Why patients use alternative medicine. JAMA 279:1548-1553, 1998 5. Cassileth BR, Lusk EJ, Strouse TB, et al: Contemporary unorthodox treatments in cancer medicine: A study of patients, treatments, and practitioners. Ann Intern Med 101:105-112, 1984[Medline] 6. Cassileth BR, Lusk EJ, Guerry D, et al: Survival and quality of life among patients receiving unproven as compared with conventional cancer therapy. N Engl J Med 324:1180-1185, 1991[Abstract] 7. Begbie SD, Kerestes ZL, Bell DR: Patterns of alternative medicine use by cancer patients. Med J Aust 165:545-548, 1996[Medline] 8. Ernst E, Cassileth B: The prevalence of complementary/alternative medicine in cancer: A systematic review. Cancer 83:777-782, 1998[CrossRef][Medline] 9. Yates P, Beadle G, Clavarino A, et al: Patients with terminal cancer who use alternative therapies: Their beliefs and practices. Sociol Health Ill 15:199-216, 1993[CrossRef] 10. Sparreboom A, Cox MC, Acharya MR, et al: Herbal remedies in the United States: Potential adverse interactions with anticancer agents. J Clin Oncol 22:2489-2503, 2004 11. Downer SM, Cody MM, McCluskey P, et al: Pursuit and practice of complementary therapies by cancer patients receiving conventional treatment. BMJ 309:86-89, 1994 12. Crocetti E, Crotti N, Feltrin A, et al: The use of complementary therapies by breast cancer patients attending conventional treatment. Eur J Cancer 34:324-328, 1998[CrossRef][Medline] 13. Burnstein HJ, Gelber S, Guadagnoli E, et al: Use of alternative medicine by women with early-stage breast cancer. N Engl J Med 340:1733-1739, 1999 14. Carlsson M, Arman M, Backman M, et al: Perceived quality of life and coping for Swedish women with breast cancer who choose complementary medicine. Cancer Nurs 24:395-401, 2001[CrossRef][Medline] 15. Paltiel O, Avitzour M, Peretz T, et al: Determinants of the use of complementary therapies by patients with cancer. J Clin Oncol 19:2439-2448, 2001 16. Richardson MA, Sanders T, Palmer JL, et al: Complementary/alternative medicine use in a comprehensive cancer center and the implications for oncology. J Clin Oncol 18:2505-2514, 2000 17. Yates JS, Mustian KM, Morrow GR, et al: Prevalence of complementary and alternative medicine use in cancer patients during treatment. Support Care Cancer 13:806-811, 2005[CrossRef][Medline] 18. Molassiotis A, Fernadez-Ortega P, Pud D, et al: Use of complementary and alternative medicine in cancer patients: A European survey. Ann Oncol 16:655-663, 2005 19. Sibbritt D, Adams J, Easthope G, et al: Complementary and alternative medicine (CAM) use among elderly Australian women who have cancer. Support Care Cancer 11:548-550, 2003[CrossRef][Medline] 20. Risberg T, Vickers A, Bremnes RM, et al: Does use of alternative medicine predict survival from cancer? Eur J Cancer 39:372-377, 2003[CrossRef][Medline] 21. Risberg T, Kolstad A, Cassileth BR: Use of alternative medicine among Norwegian cancer patients is associated with mental distress: A follow-up study. Acta Oncol 41:646-651, 2002[CrossRef][Medline] 22. Stoll BA: Can unorthodox cancer therapy improve quality-of-life? Ann Oncol 4:121-123, 1993 23. Sollner W, Maislinger S, DeVries A, et al: Use of complementary and alternative medicine by cancer patients is not associated with perceived distress or poor compliance with standard treatment but with active coping behavior: A survey. Cancer 89:873-880, 2000[CrossRef][Medline] 24. Correa-Velez I, Clavarino A, Barnett AG, Eastwood H: Use of complementary and alternative medicine and quality of life: Changes at the end of life. Palliat Med 17:695-703, 2003 25. Truant T, Bottorff JL: Decision making related to complementary therapies: A process of regaining control. Patient Educ Couns 38:131-142, 1999[CrossRef][Medline] 26. Boon H, Brown JB, Gavin A, et al: Men with prostate cancer: Making decisions about complementary/alternative medicine. Med Decis Making 23:471-479, 2003[Abstract] 27. Caspi O, Koithan M, Criddle MW. Alternative medicine or "alternative" patients: Qualitative study of patient-oriented decision-making processes with respect to complementary and alternative medicine. Med Dec Making 24:64-79, 2004[Abstract] 28. Miller DR, Anderson GT, Stark JJ, et al: Phase I/II trial of the safety and efficacy of shark cartilage in the treatment of advanced cancer. J Clin Oncol 16:3649-3655, 1998[Abstract] 29. Ernst E: Harmless herbs? A review of the recent literature. Am J Med 104:170-178, 1998[CrossRef][Medline] 30. Labriola D, Livingston R: Possible interactions between dietary antioxidants and chemotherapy. Oncology (Huntingt) 13:1003-1008, 1999[Medline] 31. Lamson DW, Brignall MS: Antioxidants in cancer therapy: Their actions and interactions with oncologic therapies. Altern Med Rev 4:304-329, 1999[Medline] 32. Cassileth BR: Evaluating complementary and alternative therapies for cancer patients. CA Cancer J Clin 49:362-375, 1999[Abstract] 33. Weiger WA, Smith M, Boon H, et al: Advising patients who seek complementary and alternative medical therapies for cancer. Ann Intern Med 137:889-903, 2002 34. Ladas EJ, Kelly KM: Milk thistle: Is there a role for its use as an adjunct therapy in patients with cancer? J Altern Complement Med 9:411-416, 2003[CrossRef][Medline] 35. De Smet PA: Herbal remedies. N Engl J Med 347:2046-2056, 2002 36. Werneke U, Earl J, Seydel C, et al: Potential health risks of complementary alternative medicines in cancer patients. Br J Cancer 90:408-413, 2004[CrossRef][Medline] 37. Ladas EJ, Jacobson JS, Kennedy DD, et al: Antioxidants and cancer therapy: A systematic review. J Clin Oncol 22:517-528, 2004 38. Ashar B, Vargo E: Shark cartilage-induced hepatitis. Ann Intern Med 125:780-781, 1996 39. Kemp DE, Franco KN: Possible leukopenia associated with long-term use of echinacea. J Am Board Fam Pract 15:417-419, 2002[Medline] 40. Budzinski JW, Foster BC, Vandenhoek S, et al: An in vitro evaluation of human cytochrome P450 3A4 inhibition by selected commercial herbal extracts and tinctures. Phytomedicine 7:273-282, 2000[Medline] 41. Tamayo C, Richardson MA, Diamond S, et al: The chemistry and biological activity of herbs used in Flor-Essence herbal tonic and Essiac. Phytother Res 14:1-14, 2000[CrossRef][Medline] 42. McCune JS, Hatfield AJ, Blackburn AA, et al: Potential of chemotherapy-herb interactions in adult cancer patients. Support Care Cancer 12:454-462, 2004[CrossRef][Medline] 43. Mathijssen RH, Verweij J, de Bruijn P, et al: Effects of St. John's wort on irinotecan metabolism. J Natl Cancer Inst 94:1247-1249, 2002 44. Mansky PJ, Straus SE: St. John's Wort: More implications for cancer patients. J Natl Cancer Inst 94:1187-1188, 2002 45. Hammerness P, Basch E, Ulbricht C, et al: St John's wort: A systematic review of adverse effects and drug interactions for the consultation psychiatrist. Psychosomatics 44:271-282, 2003 46. Beijnen JH, Schellens JH: Drug interactions in oncology. Lancet Oncol 5:489-496, 2004[CrossRef][Medline] 47. Sparber A, Bauer L, Curt G, et al: Use of complementary medicine by adult patients participating in cancer clinical trials. Oncol Nurs Forum 27:623-630, 2000[Medline] 48. Sparber A, Jonas W, White J, et al: Cancer clinical trials and subject use of natural herbal products. Cancer Invest 18:436-439, 2000[Medline] 49. Dy GK, Bekele L, Hanson LJ, et al: Complementary and alternative medicine use by patients enrolled onto phase I clinical trials. J Clin Oncol 22:4810-4815, 2004 50. Daugherty CK, Fitchett G, Murphy PE, et al: Trusting God and medicine: Spirituality in advanced cancer patients volunteering for clinical trials of experimental agents. Psychooncology 13:1-12, 2004[Medline] 51. Helft PR, Hlubocky F, Wen M, et al: Associations among awareness of prognosis, hopefulness, and coping in patients with advanced cancer participating in phase I clinical trials. Support Care Cancer 11:644-651, 2003[CrossRef][Medline] 52. Daugherty CK, Banik D, Janish L, et al: A quantitative analysis of ethical issues in experimental cancer trials: A survey interview study of 144 terminally ill advanced cancer patients. IRB 22:6-14, 2000[Medline] 53. Gordon EJ, Daugherty CK: Referral and decision making among advanced cancer patients participating in phase I trials at a single institution. J Clin Ethics 12:31-38, 2001[Medline] 54. Daugherty C, Ratain MJ, Grochowski E, et al: Perceptions of cancer patients and their physicians involved in phase I trials. J Clin Oncol 13:1062-1072, 1995[Abstract] 55. Daugherty CK, Ratain MJ, Minami H, et al: A study of cohort-specific consent and patient control in a phase I cancer trial. J Clin Oncol 16:2305-2312, 1998[Abstract] 56. Llewellyn-Thomas HA, McGreal MJ, Thiel EC, et al: Patients' willingness to enter clinical trials: Measuring the association with perceived benefit and preference for decision participation. Soc Sci Med 32:35-42, 1991[CrossRef][Medline] 57. Hinton J: How reliable are relatives' retrospective reports of terminal illness? Patients' and relatives' accounts compared. Soc Sci Med 43:1229-1236, 1996[CrossRef][Medline] 58. Cella DF, Tulsky DS, Gray G, et al: The functional assessment of cancer therapy scale: Development and validation of the general measure. J Clin Oncol 11:570-579, 1993 59. RootsWeb: Social Security Death Index interactive search. http://ssdi.genealogy.rootsweb.com/cgi-bin/ssdi.cgi 60. Janisch L, Mick R, Schilsky RL, et al: Prognostic factors for survival in patients treated in phase I clinical trials. Cancer 74:1965-1973, 1994[CrossRef][Medline] 61. Horstmann E, McCabe MS, Grochow L, et al: Risks and benefits of phase 1 oncology trials, 1991 through 2002. N Engl J Med 352:895-904, 2005 62. Roberts TG Jr, Goulart BH, Squitieri L, et al: Trends in the risks and benefits to patients with cancer participating in phase 1 clinical trials. JAMA 292:2130-2140, 2004 63. Ratain MJ, Mick R, Schilsky RL, et al: Statistical and ethical issues in the design and conduct of phase I and II clinical trials of new anticancer agents. J Natl Cancer Inst 85:1637-1643, 1993 64. Daugherty CK: Impact of therapeutic research on informed consent and the ethics of clinical trials: A medical oncology perspective. J Clin Oncol 17:1601-1617, 1999 65. Daugherty CK: Ethical issues in the development of new agents. Invest New Drugs 17:145-153, 1999[CrossRef][Medline] 66. Meropol NJ, Weinfurt KP, Burnett CB, et al: Perceptions of patients and physicians regarding phase I cancer clinical trials: Implications for physician-patient communication. J Clin Oncol 21:2589-2596, 2003 67. Weinfurt KP, Castel LD, Li Y, et al: The correlation between patient characteristics and expectations of benefit from phase I clinical trials. Cancer 98:166-175, 2003[CrossRef][Medline] 68. Shumay DM, Maskarinec G, Gotay CC, et al: Determinants of the degree of complementary and alternative medicine use among patients with cancer. J Altern Complement Med 8:661-671, 2002[CrossRef][Medline] 69. Steel JL, Eton DT, Cella D, et al: Clinically meaningful changes in health-related quality of life in patients diagnosed with hepatobiliary carcinoma. Ann Oncol 17:304-312, 2006 70. Yost KJ, Cella D, Chawla A, et al: Minimally important differences were estimated for the Functional Assessment of Cancer Therapy-Colorectal (FACT-C) instrument using a combination of distribution- and anchor-based approaches. J Clin Epidemiol 58:1241-1251, 2005[CrossRef][Medline] 71. Sloan JA, Cella D, Hays RD: Clinical significance of patient-reported questionnaire data: Another step toward consensus. J Clin Epidemiol 58:1217-1219, 2005[CrossRef][Medline] 72. Cella D, Eton DT, Fairclough DL, et al: What is a clinically meaningful change on the Functional Assessment of Cancer Therapy-Lung (FACT-L) Questionnaire? Results from Eastern Cooperative Oncology Group (ECOG) Study 5592. J Clin Epidemiol 55:285-295, 2002[CrossRef][Medline] 73. Yost KJ, Eton DT: Combining distribution-and anchor-based approaches to determine minimally important differences: The FACIT Experience. Eval Health Profess 28:172-191, 2005[CrossRef] Submitted January 30, 2006; accepted November 22, 2006. This article has been cited by other articles:
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||
|
Copyright © 2007 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
|