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Editorial
Are Individual Patient Trials (n-of-1 Trials) in Rheumatology Worth the Extra Effort? PAUL M. PELOSO, MD, MSc, Associate Professor of Internal Medicine, Roy and Lucille Carver College of Medicine, University of Iowa; Staff Rheumatologist, University of Iowa Health Care and VA Medical Center, Room E, 330GH, 200 Hawkins Drive, Iowa City, Iowa 52242, USA. Address reprint requests to Dr. Peloso. E-mail: paul-peloso@uiowa.edu What are individual patient (n-of-1) trials? Individual patient trials inject some methodological rigor into usual clinical decision-making. They mimic usual clinical practice in their ability to allow flexibility of dosing and followup, as well as individual tailoring of outcome measures. In usual clinical practice, patients present with abnormal signs or symptoms, and after assessment the health-care provider recommends a course of action. Therapy is considered efficacious if benefits outweigh side effects, patients appear improved over baseline, and both patients and treaters agree that the therapy ought to be continued. This "open assessment" is prone to numerous biases1,2, all of which tend to exaggerate the benefits of therapy, and thereby prolong potentially ineffective or harmful therapy. Individual patient trials (n-of-1 trials) differ from usual clinical practice by offering some protection from these numerous biases: such trials can be randomized, they can have treaters and patients blinded to treatment and use uniform outcome measures that are both qualitatively and statistically evaluated. In the n-of-1 trial, the unit of randomization is the treatment sequence for an individual patient, in contrast to randomized, parallel design trials, where the individual is randomized to one group or another. A single treatment cycle includes an exposure to the innovator therapy and the comparator therapy. Comparators could be placebos or another competing therapy. This treatment cycle is repeated as often as necessary to determine a clear winner: a preference for innovator therapy or for standard therapy, or no preference. Figure 1 provides a schema of the n-of-1 design. Randomization is usually performed at the beginning of each new treatment cycle, but could be at each point where treatment was to change3. Table 1 shows the n-of-1 trial in contrast to usual patient care, the cross-over trial, and the parallel, randomized trial. In brief, the n-of-1 trial answers the question: "Is this therapy helpful in this individual patient?" while the parallel, randomized trial answers the question: "In a defined population, is treatment x better than treatment y?" This is not an absolute, however, as responder criteria, such as the American College of Rheumatology response criteria for rheumatoid arthritis4 do identify response at an individual level in large, parallel randomized trials, while advances in the analysis of multiple n-of-1 trials allow estimates of population treatment responses5. Importantly, only a crossover design allows patients to judge which treatment they prefer. ![]() Figure 1. Schema for individual (n-of-1) trial design.
When should n-of-1 trials be considered? There should be legitimate doubt about whether therapy is effective, or whether it is responsible for the patient's side effects1,2,6,7. The condition should be chronic and mostly stable. It is optimal if treatment results in a rapid onset of effect that disappears quickly with treatment withdrawal. While this latter feature is not essential, delayed onset or persistent treatment effects will require a longer treatment period or a longer washout between cycles, with a longer experimental time overall. Guidelines for the conduct of n-of-1 patient trials were published in 19861, and followup articles document the feasibility of their conduct in clinical practice2,6. These articles1,2,6 and some standard textbooks more fully discuss randomization, outcome measures, and statistical analysis3,8. What rheumatic conditions might be amenable to the n-of-1 design? Common, stable, quickly reversible symptoms and signs in rheumatology practice could readily be studied using the n-of-1 approach. The design can assess treatment response1,2,6 and adverse effects of disease or medications7. Such entities might include pain, fatigue, dyspepsia, nausea, function (i.e., walking distance), Raynaud's phenomenon, synovitis, range of motion or joint/muscle tenderness to palpation, or rash, to name a few. This design could also be used to understand clinically meaningful changes following therapy, as well as assess the time to reach these levels, in many commonly used metrics, such as the WOMAC, Health Assessment Questionnaire, Fibromyalgia Impact Questionnaire, joint counts, pain scales, etc. How have n-of-1 trials been used in rheumatology? Given the chronic nature of most rheumatic conditions, and the methodological rigor of n-of-1 trials, one might expect their widespread use in rheumatology. A Medline search from August 2003 back to 1966 found only 2 n-of-1 trials in rheumatology. Jaeschke and colleagues examined the role of amitriptyline in fibromyalgia9, while March, et al10 examined the preference for paracetamol or diclofenac in patients with osteoarthritis (OA). Amitriptyline for fibromyalgia was of uncertain benefit, as 2 large parallel randomized trials suggested 25 mg a day was no better than placebo, and did not identify predictors or response11,12. Yet Jaeschke's study showed that doses as low as 10 mg a day could be effective in some patients, and that this improvement was apparent at 2 weeks9. There was also drug discontinuation in 8/23 (35%) patients who previously considered its longterm use. Thus amitriptyline is effective for some people and not for others, and this is often contrary to their pretrial opinions. In the March study, OA patients received paracetamol 1 g BID or diclofenac 50 mg BID. Twenty of 25 who began the double-blinded, randomized n-of-1 trials had evaluable data. Eight of 20 did not express a preference, with both agents helpful: 5 preferred diclofenac, and another 5 who preferred diclofenac reported both treatments to be insufficient for their pain. A recent randomized parallel controlled trial raised controversy, when it found acetaminophen 1 g QID to be no more effective than placebo in populations of OA patients, while also declaring diclofenac 75 mg BID to be superior to placebo13. Pincus's crossover trial of diclofenac 75 mg + misoprostol 200 µg BID in OA showed that it was preferred by 57% (99/174), with 20% expressing preference for acetaminophen 1 g QID14. Those with lower pain scores were less likely to express a preference for nonsteroidal antiinflammatory drugs (NSAID). Thus the parallel randomized controlled trial13 raises concerns about acetaminophen's efficacy in the population of OA patients, whereas Pincus's14 crossover trial supports March's findings that some people indeed prefer it. What did we learn from the Pope trial? The trial reported by Pope, et al in this issue of The Journal has several unique features15. The authors performed a controlled trial that randomized people to usual medical care or to n-of-1 care to judge whether n-of-1 care was superior. The assessment of "superiority" was robust and included measures of efficacy and side effects, as well as direct and indirect costs. Twenty-four of the 51 patients with OA were randomized to the n-of-1 care, which was methodologically rigorous and included randomization of treatment order and double blinding of study drug. The goal of the n-of-1 trial arm was to determine whether diclofenac + misoprostol was preferred over placebo, in patients who were not sure whether NSAID were helpful. Outcomes were assessed at 3 and 6 months. What was found? At 6 months, an equal proportion were using NSAID in both groups (71% in n-of-1 vs 67% usual care), in spite of an imbalance at baseline, with more NSAID users in the usual clinical care group. All outcome measures favored better health in the n-of-1 group, including pain scores, Medical Outcome Study SF-36, patient global scores, etc. The difference in Health Assessment Questionnaire scores between groups was clinically meaningful16. There were more side effects in the n-of-1 group, predictably related to the use of misoprostol. There were also higher costs for the n-of-1 group, from US$60 to $160 more per patient. This was related to higher costs of drugs, nursing and physician time, and travel costs. However, we do not know if physicians or patients were more satisfied or confident with their treatment plans in the n-of-1 group, as this was unmeasured. While the n-of-1 strategy is arguably less subject to bias, in this OA model, it does not provide convincingly superior outcomes, and costs more. Further study is needed to firmly establish the value, and need, of the n-of-1 approach to patient care. 1. Guyatt GH, Sackett DL, Adachi JD, et al. A clinicians' guide for conducting randomized trials in individual patients, CMAJ 1988;139:497-503. 2. Guyatt GH, Keller JL, Jaeschke R, Rosenbloom D, Adachi JD, Newhouse MT. The n-of-1 randomized controlled trial: clinical usefulness. Our three-year experience. Ann Intern Med 1990;112:293-9. [MEDLINE] 3. Randomization designs for single-case and small-n studies. In: Todman JB, Dugard P, editors. Single-case and small-n experimental designs. A practical guide to randomization. Mahwah, NJ: Lawrence Erlbaum Associates; 2001. 4. Felson D, Anderson JJ, Boers M, et al. American College of Rheumatology. Preliminary definition of improvement in rheumatoid arthritis. Arthritis Rheum 1995;38:727-35. [MEDLINE] 5. Zucker DR, Schmid CH, McIntosh MW, D'Agostino RB, Selker HP, Lau J. Combining single patient (N-of-1) trials to estimate population treatment effects and to evaluate individual patient responses to treatment. J Clin Epidemiol 1997;50:401-10. [MEDLINE] 6. Larson EB, Ellsworth AJ, Oas J. Randomized clinical trials in single patients during a 2-year period. JAMA 1993;270:2708-12. [MEDLINE] 7. Knowles SR, Uetrecht JP, Shear NH. Confirming false adverse reactions to drugs by performing individualized, randomized trials. Can J Clin Pharmacol 2002;9:149-53. [MEDLINE] 8. Statistical and visual analysis. In: Todman JB, Dugard P, editors. Single-case and small-n experimental designs. A practical guide to randomization. Mahwah, NJ: Lawrence Erlbaum Associates; 2001. 9. Jaeschke R, Adachi J, Guyatt G, Keller J, Wong B. Clinical usefulness of amitriptyline in fibromyalgia: the results of 23 N-of-1 randomized controlled trials. J Rheumatol 1991;18:447-51. [MEDLINE] 10. March L, Irwig L, Schwarz J, Simpson J, Chock C, Brooks P. N of 1 trials comparing a non-steroidal anti-inflammatory drug with paracetamol in osteoarthritis. BMJ 1994;309:1041-5;1045-6 [discussion]; 1995;310:66-7 [comment]. [MEDLINE] 11. Carette S, McCain GA, Bell DA, Fam AG. Evaluation of amitriptyline in primary fibrositis. Arthritis Rheum 1986;29:655-9. [MEDLINE] 12. Carette S, Bell MJ, Reynolds WB, et al. Comparison of amitriptyline, cyclobenzaprine, and placebo in the treatment of fibromyalgia. A randomized, double-blind clinical trial. Arthritis Rheum 1994;37:32-40. [MEDLINE] 13. Case JP, Baliunas AJ, Block JA. Lack of efficacy of acetaminophen in treating symptomatic knee osteoarthritis: a randomized, double-blind, placebo-controlled comparison trial with diclofenac sodium. Arch Intern Med 2003;163:169-78. [MEDLINE] 14. Pincus T, Koch GG, Sokka T, et al. A randomized, double-blind, crossover clinical trial of diclofenac plus misoprostol versus acetaminophen in patients with osteoarthritis of the hip or knee. Arthritis Rheum 2001;44:1587-98. [MEDLINE] 15. Pope JE, Prashker M, Anderson J. The efficacy and cost-effectiveness of n of 1 studies with diclofenac compared to standard treatment with nonsteroidal antiinflammatory drugs in osteoarthritis. J Rheumatol 2004;31:140-9. 16. Bruce B, Fries JF. The Stanford Health Assessment Questionnaire: dimensions and practical applications. Health Qual Life Outcomes 2003;9;1:20. Internet [accessed November 2, 2003]. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi? rendertype=abstract&artid=165587 [MEDLINE] |