VOLUME 34 • NUMBER 28 • OCTOBER 1, 2016 JOURNAL OF CLINICAL ONCOLOGY O R I G I N A L R E P O R T Efficacy of Mindfulness-Based Cognitive Therapy on Late Post-Treatment Pain in Women Treated for Primary Breast Cancer: A Randomized Controlled Trial Maja Johannsen, Maja O’Connor, Mia Skytte O’Toole, Anders Bonde Jensen, Inger Højris, and Robert Zachariae See accompanying editorial on page 3366 Maja Johannsen, Maja O’Connor, Mia Skytte O’Toole, Anders Bonde Jensen, Inger Højris, and Robert Zachariae, Aarhus University Hospital; Anders Bonde Jensen and Inger Højris, Aarhus University, Aarhus, Denmark. Published online ahead of print at www.jco.org on June 20, 2016. Supported by The Danish Cancer Society, Aase & Ejnar Danielsens Fond, Einar Willumsens Mindelegat, and Radiumstationens Forskningsfond. Authors’ disclosures of potential conflicts of interest are found in the article online at www.jco.org. Author contributions are found at the end of this article. Clinical trial information: NCT01674881. Corresponding author: Maja Johannsen, MSc, Unit for Psychooncology and Health Psychology, Department of Oncology, Aarhus University Hospital and Department of Psychology, Aarhus University, Bartholins Alle 9, Bld 1340, DK-8000 Aarhus C, Denmark; e-mail: [email protected]. © 2016 by American Society of Clinical Oncology 0732-183X/16/3428w-3390w/$20.00 DOI: 10.1200/JCO.2015.65.0770 A B S T R A C T Purpose To assess the efficacy of mindfulness-based cognitive therapy (MBCT) for late post-treatment pain in women treated for primary breast cancer. Methods A randomized wait list–controlled trial was conducted with 129 women treated for breast cancer reporting post-treatment pain (score $ 3 on pain intensity or pain burden assessed with 10-point numeric rating scales). Participants were randomly assigned to a manualized 8-week MBCT program or a wait-list control group. Pain was the primary outcome and was assessed with the Short Form McGill Pain Questionnaire 2 (SF-MPQ-2), the Present Pain Intensity subscale (the McGill Pain Questionnaire), and perceived pain intensity and pain burden (numeric rating scales). Secondary outcomes were quality of life (World Health Organization-5 Well-Being Index), psychological distress (the Hospital Depression and Anxiety Scale), and self-reported use of pain medication. All outcome measures were assessed at baseline, postintervention, and 3-month and 6-month follow-up. Treatment effects were evaluated with mixed linear models. Results Statistically significant time 3 group interactions were found for pain intensity (d = 0.61; P = .002), the Present Pain Intensity subscale (d = 0.26; P = .026), the SF-MPQ-2 neuropathic pain subscale (d = 0.24; P = .036), and SF-MPQ-2 total scores (d = 0.23; P = .036). Only pain intensity remained statistically significant after correction for multiple comparisons. Statistically significant effects were also observed for quality of life (d = 0.42; P = .028) and nonprescription pain medication use (d = 0.40; P = .038). None of the remaining outcomes reached statistical significance. Conclusion MBCT showed a statistically significant, robust, and durable effect on pain intensity, indicating that MBCT may be an efficacious pain rehabilitation strategy for women treated for breast cancer. In addition, the effect on neuropathic pain, a pain type reported by women treated for breast cancer, further suggests the potential of MBCT but should be considered preliminary. J Clin Oncol 34:3390-3399. © 2016 by American Society of Clinical Oncology INTRODUCTION Breast cancer (BC) is the most common cancer type among women, with . 1 million new cases worldwide each year.1 Although survival rates are increasing,2 patients with BC report high levels of physical and psychological symptoms after treatment,3,4 underscoring the need for effective rehabilitation programs. Persistent posttreatment pain is of particular concern because of its high prevalence, with 16% to 20% of women treated for BC experiencing moderate to severe pain 5 to 9 years after surgery.5,6 Although women 3390 treated for BC rate pain among the 10 most important quality of life (QoL) –related issues,7 pain remains undertreated.8,9 Although BC-related pain is often associated with nervous system damage (ie, neuropathic pain),10 it is generally accepted that pain is multifaceted, consisting of sensory, cognitive, and affective dimensions influencing the patients’ pain experience and their reactions to this experience.9 Targeting cognitive and affective dimensions of pain with psychosocial interventions may, as supported by a recent meta-analysis,11 help patients with BC cope better with persisting post-treatment pain. One type of intervention, © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. Efficacy of MBCT on Late Post-Treatment Pain which recently has received considerable attention, is mindfulnessbased therapy (MBT).12 Mindfulness focuses on directing attention to the experience that unfolds moment by moment in a nonjudgmental way, and MBT teaches ways of relating to bodily sensations and emotional discomfort with a higher degree of acceptance and openness.12 MBT has shown promising results in cancer populations in reducing anxiety and depression and in improving QoL.12-14 Although there are indications that MBT may be effective in reducing pain in noncancer populations,15-17 a literature search for studies on MBT and pain in patients with BC revealed only five studies published in six articles.18-23 Only one study22 showed a statistically significant effect, and when calculating the inverse variance weighted pooled effect size of the five studies, the effect failed to reach statistical significance (Cohen’s d = 0.32; 95% CI, 20.18 to 0.83; P = .21). There may be several reasons for the negative result. First, in all studies, pain was a secondary outcome, and participant selection was not based on pain levels. Second, only three studies were controlled trials,18,22,23 and three studies had modest sample sizes (N = 17 to 42),19,20,22 compromising statistical power. Furthermore, in the three studies that reported the timing of the intervention relative to treatment, the time ranges varied considerably.18,19,23 Thus, the efficacy of MBT on post-treatment pain in patients with BC and survivors remains unclear. We therefore conducted a randomized controlled trial of the effect of mindfulness-based cognitive therapy (MBCT) on late post-treatment pain in women treated for primary BC. METHODS Study Design and Sample MBCT was compared with a wait-list control condition in a final sample of 129 women treated at the Department of Oncology, Aarhus University Hospital. During control visits, the oncologists asked patients about their current pain status and informed eligible patients about the study. Inclusion criteria were: primary BC, $ 3 months after surgery, completed chemotherapy and/or radiotherapy, a score $ 3 on perceived pain intensity or pain burden on a 10-point numerical rating scale (NRS), and ability to understand Danish. Exclusion criteria were: metastatic BC, other cancers, male sex, serious psychiatric diagnoses (eg, psychosis), and other severe medical conditions related to the musculoskeletal system (eg, arthritis). The study was approved by the Regional Science Ethical Committees (registration No.: 1-10-72-460-12) and preregistered at clinicaltrials.gov (NCT01674881). Procedures Recruitment lasted from October 2012 through December 2013. Eligible and interested participants were screened for possible additional barriers to participation (eg, scheduling difficulties). After completing consent forms and baseline questionnaires (T1), participants were randomly assigned to intervention or wait-list control. Randomization was conducted independently using Power and Sample Size (PASS), v.12 (NCSS, Kaysville, UT). Additional questionnaires were mailed out immediately after (T2), 3 months after (T3), and 6 months after (T4) the 8-week intervention. MBCT and Wait-List Control The intervention generally adhered to the MBCT manual.24 Modifications adapting the program to the current study population25 included slightly shorter 2-hour sessions, shorter meditation exercises (# 30 min), more gentle yoga exercises, and omission of the whole-day session. MBCT www.jco.org was delivered in groups of 13 to 17 participants in weekly sessions over 8 consecutive weeks. The sessions consisted of formal mindfulness exercises and psychoeducation, with main focus on the participants’ here-and-now pain experiences. In addition, MBCT includes cognitive exercises, here targeting pain catastrophizing. Daily 45-minute home practice was encouraged. Adherence was monitored using weekly homework records. All sessions were facilitated by a mindfulness instructor with training from Oxford University and 9 years of MBCT experience. The instructor received supervision from Centre for Mindfulness Research and Practice, Bangor University, UK, during the study. Wait-list participants were only contacted during the study period when asked to complete the T2, T3, and T4 questionnaires. Measures All patients provided sociodemographic information. Clinical and comorbidity (Charlson Comorbidity Index)26 data were retrieved from the Danish Breast Cancer Cooperative Group registry, which contains information on diagnosis and treatment reported by all national oncology departments.27 Use of complementary and alternative treatments (eg, massage, acupuncture) or psychological counseling during the previous year was assessed at T1 together with motivation for participating in the program (5-point Likert scale, from “Not motivated” to “Very motivated”). Primary outcomes. All primary outcome measures were completed at all four time points (T1 to T4). Because of the multifaceted nature of pain,9 we included several primary pain measures. Pain outcomes included the Short Form McGill Pain Questionnaire 2 (SF-MPQ-2),28 yielding a total score, three sensory subscale scores (continuous, intermittent, and neuropathic pain), and one affective subscale score (affective pain descriptors). The SF-MPQ-2 has shown good psychometric properties in neuropathic pain conditions.28 The Present Pain Intensity (PPI) from the original McGill Pain Questionnaire was also included. The PPI is an overall present pain intensity measure that is sensitive to the evaluative pain dimension.29 However, because the PPI is influenced by psychological factors at the moment (eg, current mood),29 we also included an 11-point NRS, a valid measure of pain intensity less influenced by present mood state.30 Finally, we assessed perceived pain burden during the previous week (11-point NRS). Secondary outcomes. QoL was assessed with the World Health Organization–5 Well-Being Index (WHO-5).31,32 A standardized percentage score is calculated, with higher scores indicating better QoL. Psychological distress was assessed with the Hospital Anxiety and Depression Scale (HADS),33 which has shown acceptable use in cancer populations.34 The HADS total score has shown good psychometric qualities as an overall measure of distress.35 Finally, participants reported their weekly use of (non)prescription pain medications at T2 to T4 (“Have you used nonprescribed [prescribed] pain medication during the last week?” with a 6-point response format ranging from “no” to “more than 8 times”). Adherence was assessed by number of MBCT sessions attended, total number of minutes spent on homework during the 8-week program, and total number of minutes spent on mindfulness practice during the previous week at T2 to T4. Statistical Analysis IBM SPSS statistics, v.21 (IBM, Chicago, IL) was used for all analyses. Baseline group differences were explored with t tests or x2-tests. Statistically significant (P , .05) baseline differences were entered as covariates in all main analyses and for statistically significant secondary outcomes. Study dropouts were defined as participants discontinuing the intervention and participants failing to return the questionnaires. Because of an unbalanced dropout between study groups at T2, dropout characteristics at this time point were explored with t tests and x2 tests. At the scale level, missing values were mean substituted with the respondent’s average response on the remaining scale items, if the respondent had completed © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. 3391 Johannsen et al $ 50% of the items. For scales and subscales with internal consistencies $ 0.70, this is considered an appropriate method.36 Mixed linear models (MLMs) were used to compare groups over time on all outcome variables, all treated as continuous variables. MLMs tolerate missing values and thus do not unnecessarily compromise statistical power. All MLMs were estimated with the maximum likelihood method and were based on the intent-to-treat sample. The data were hierarchically arranged in two levels, with time at level 1 nested within individuals at level 2. Fixed effects were specified for intercept, time, group, and the time 3 group interaction. All models included a random intercept, and the slope was specified as random if it improved the model fit as evaluated by a change in the 22LL fit statistics.37 Because the steepest change is likely to occur at the beginning of therapy,38 the time variable was log-transformed. In all models, this function provided an equal or better fit than a linear function of time. In post hoc analyses, using MLMs, the effects of adherence-related variables were explored for the statistically significant outcomes. In addition, because of the unbalanced dropout at T2, sensitivity analyses were performed testing the robustness of the results. The sensitivity analyses were conducted using MLMs exploring the assumptions that dropouts had reduced (50%) effect of the intervention and dropouts had zero effect of the intervention (last observation carried forward from baseline). An intervention effect was indicated by a statistically significant twoway interaction between treatment group and time. Post hoc corrections for multiple comparisons were performed for the primary outcomes using the Benjamin-Hochberg procedure with a 0.05 false-discovery rate.39 Effect sizes were expressed as Cohen’s d, with 0.2, 0.5, and 0.8 considered a small, medium, and large effect size, respectively.40 Cohen’s d was derived from the F test calculated as d = 2 3 √(F/df). RESULTS Patients Descriptive data are shown in Table 1. Generally, no baseline group differences were found for any sociodemographic variables, clinical characteristics, or outcome measures. The exception was pain burden, with controls reporting higher pain burden than intervention group participants (P = .04; d = 0.36). Pain burden (T1) was therefore adjusted for in a second set of analyses. This did not change the results, except for SF-MPQ-2 total scores, which reached statistical significance when adjusting for pain burden (Table 2). Study flow is shown in Figure 1. In the intervention group, dropout rates were higher (31.3% [T2], 37.3% [T3], and 41.8% [T4]) than in controls (1.6% [T2] and 8.1% [T3, T4]). Dropouts at T2 did not differ statistically significantly on any primary outcome measures compared with participants returning the questionnaires. However, dropouts were less motivated to participate in the intervention (P = .009), reported more comorbidity (P = .01), and had used more nonprescription pain medication (P = .03) compared with participants returning the questionnaires (Table 1). Primary Outcome Pain. Statistically significant time 3 group effects were found for pain intensity (d = 0.61), the PPI (d = 0.26), and neuropathic pain (d = 0.24; Table 2; Figure 2). SF-MPQ-2 total scores reached statistical significance when adjusting for pain burden (d = 0.23). No other effects reached statistical significance. To explore the durability of effect over time, we calculated the effect sizes for changes from T1 to T2, T3, and T4, respectively. For SF-MPQ-2 (adjusted for pain burden) and neuropathic pain, the effects (Cohen’s d) seemed to be relatively stable over time (SF-MPQ-2: T2, 3392 0.30; T3, 0.31; T4, 0.27; neuropathic pain: T2, 0.31; T3, 0.30; T4, 0.32). For the PPI and pain intensity, effects increased from T2 to T3, after which the effects declined at T4 (PPI: T2, 0.31; T3, 0.52; T4, 0.27; pain intensity: T2, 0.54; T3, 0.64; T4, 0.51). When adjusting for comparisons of multiple outcomes, only pain intensity remained statistically significant (Table 2). Sensitivity analyses. Sensitivity analyses were performed, testing the robustness of the observed effect on pain intensity (that is, the result that remained statistically significant after correcting for multiple comparisons). The possible influence of pain intensity at baseline on dropout at T2 was explored with logistic regression. The result was statistically nonsignificant (P = .69; odds ratio, 0.96). Two MLMs assuming that dropouts experienced 50% of the effect observed in the main analysis and that dropouts experienced zero effect (last observation carried forward from baseline) were conducted. The time 3 group effect for pain intensity remained statistically significant in both the 50%-effect (P = .003; d = 0.56) and the zero-effect analysis (P = .034; d = 0.39). Secondary Outcomes Statistically significant time 3 group effects were observed for QoL (d = 0.42) and use of nonprescription pain medication (d = 0.40; Table 2; Figure 3). When examining effects over time, the effect on QoL at T2 (d = 0.44) and T4 (d = 0.42) were larger than the effect at T3 (d = 0.31), whereas the effect on use of nonprescription pain medication increased from T2 (d = 0.31) to T3 (d = 0.53), followed by a decline at T4 (d = 0.34). The time 3 group effects for psychological distress and use of prescription pain medication did not reach statistical significance (Table 2). Adherence-related effects. The mean number of MBCT sessions attended in the intervention group was five (SD, 2.19). The mean total time spent on mindfulness homework during the 8-week program corresponded to an average of 24 min/d. At T2, mean time spent on mindfulness during the previous week was 20 min/d, decreasing to 9 min/d (T3) and 10 min/d (T4). More sessions attended was associated with larger reductions in pain intensity (P = .01; d = 0.44), SF-MPQ-2 total score (P = .03; d = 0.36), and improved QoL (P = .02; d = 0.38) over time. Time spent on mindfulness practice from T2 to T4 predicted improved QoL (P = .01; d = 0.49). No further effects of mindfulness practice were found (P = .12 to .92). DISCUSSION To our knowledge, the current study is the first with the primary aim of investigating the efficacy of MBCT on late post-treatment pain in women treated for BC. MBCT significantly reduced pain intensity, neuropathic pain, and the PPI (ie, the evaluative pain dimension). No effect on the affective pain dimensions (ie, pain burden and affective pain descriptors) or the two sensory pain dimensions of continuous and intermittent pain were found. When testing the robustness of the results, pain intensity remained statistically significant, suggesting that MBCT may have a robust, durable effect on pain intensity in women treated for BC. In terms of clinical significance, the minimum clinically important difference on an 11-point NRS for pain intensity © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. JOURNAL OF CLINICAL ONCOLOGY Efficacy of MBCT on Late Post-Treatment Pain Table 1. Sociodemographic, Clinical, Pain-Related, and Psychological Characteristics of Study Sample at Baseline and Dropout Analyses Patient Demographics and Characteristics Demographics Age, mean (SD) [No.], years Marital status, No. (%) Married/cohabiting Not cohabiting/single Educational level, No. (%)b Lower (, 2 years of further education) Medium (2-4 years of further education) Long ($ 5 years of further education) Missing Occupational status, No. (%) Full- or part-time used Unemployed or on sickness benefit Retired Missing Participant motivation, mean (SD) [No.] Use of psychological support during the last year, No. (%) Yes No Use of CAM treatment during the last year, No. (%) Yes No Clinical characteristics Time since surgery, mean (SD) [No.], months Relapse, No. (%) Yes No Tumor size, No. (%), mm # 20 . 20 to # 50 . 50 Not reported Type of surgery, No. (%) Mastectomy Lumpectomy Not reported ALND, No. (%) Yes No Not reported Breast reconstruction, No. (%) Yes No ER status, No. (%)c Positive ($ 1%) Negative (, 1%) HER2 status, No. (%) Positive Negative Not reported Chemotherapy, No. (%) Yes No Radiotherapy, No. (%) Yes No Not reported Endocrine treatment, No. (%) Yes No www.jco.org Pa .96 .50 Intervention Group (n = 67) Control Group (n = 62) 56.8 (9.99) [67] 56.7 (8.10) [62] 47 (70.1) 20 (29.9) 40 (64.5) 22 (35.5) 21 36 9 1 28 29 4 1 .18 58.6 (10.55) [22] 56.4 (8.77) [107] 16 (72.7) 6 (27.3) 71 (66.4) 36 (33.6) (45.2) (46.8) (6.5) (1.6) 10 (45.5) 11 (50.0) 1 (4.5) — 39 54 12 2 (36.4) (50.5) (11.2) (1.9) .76 29 10 24 4 3.30 (43.3) (14.9) (35.8) (6.0) (0.86) [66] 45 (67.2) 22 (32.8) 22 8 28 4 3.44 (35.5) (12.9) (45.2) (6.5) (0.74) [62] .009 .11 35 (56.5) 27 (43.5) .93 8 (36.4) 3 (13.6) 11 (50.0) — 3.00 (0.97) [21] 43 15 41 8 3.45 (40.2) (14.0) (38.3) (7.5) (0.74) [107] 17 (77.3) 5 (22.7) 63 (58.9) 44 (42.1) 7 (31.8) 15 (68.2) 30 (28.0) 77 (72.0) .72 19 (28.4) 48 (71.6) .54 .61 .39 .56 Respondents (Returned Questionnaires; n = 107) .56 (31.3) (53.7) (13.4) (1.5) .53 .35 .21 Pa Dropouts From Baseline to Postintervention (T2; n = 22) 40.0 (24.56) [66] 18 (29.0) 44 (71.0) 43.2 (34.82) [62] 2 (3.0) 65 (97.0) 1 (1.6) 61 (98.4) 36 27 1 3 30 31 0 1 .42 .45 .45 45.9 (27.42) [22] 1 (4.5) 21 (95.5) 40.6 (30.43) [106] 2 (1.9) 105 (98.1) .84 (53.7) (40.3) (1.5) (4.5) (48.4) (50.0) (0.0) (1.6) .26 12 9 0 1 (54.6) (40.9) (0.0) (4.5) 54 49 1 3 (50.5) (45.8) (0.94) (2.8) .72 27 (40.3) 38 (56.7) 2 (3.0) 32 (51.6) 30 (48.4) — 39 (58.2) 26 (38.8) 2 (3.0) 32 (51.6) 28 (45.2) 2 (3.2) 14 (20.9) 53 (79.1) 8 (12.9) 54 (87.1) 55 (82.1) 12 (17.9) 55 (88.7) 7 (11.3) 6 (9.0) 54 (9.0) 8 (11.9) 8 (12.9) 46 (74.2) 6 (9.7) 38 (56.7) 29 (43.3) 39 (62.9) 23 (37.1) 54 (80.6) 7 (10.4) 6 (9.0.) 48 (77.4) 12 (19.4) 2 (3.2) .32 9 (40.9) 12 (54.6) 1 (4.6) 50 (46.7) 56 (52.3) 1 (0.94) 10 (45.5) 12 (54.5) — 59 (55.1) 44 (41.1) 4 (3.7) 5 (22.7) 17 (77.3) 17 (15.9) 90 (84.1) 19 (86.4) 3 (13.6) 91 (85.0) 16 (15.0) 1 (4.6) 17 (77.3) 4 (18.2) 13 (12.2) 82 (76.6) 12 (11.2) 10 (45.5) 12 (54.5) 67 (62.6) 40 (37.4) 16 (72.7) 2 (9.1) 4 (18.2) 86 (80.4) 6 (5.6) 15 (14.0) 16 (72.7) 6 (27.3) 78 (73.0) 29 (27.0) .88 .23 .44 .29 .87 .48 .57 .47 .14 .20 .49 .26 .99 46 (68.7) 48 (77.4) 21 (31.3) 14 (22.6) (continued on following page) © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. 3393 Johannsen et al Table 1. Sociodemographic, Clinical, Pain-Related, and Psychological Characteristics of Study Sample at Baseline and Dropout Analyses (continued) Patient Demographics and Characteristics In active endocrine treatment during study period, No. (%) Yes No Comorbidity,d No. (%) No comorbidity Comorbidity ($ 1) Not reported Pain related to breast cancer, No. (%) Yes No Missing Primary outcome measures McGill pain total score,e mean (SD) [No.] McGill subscales,e mean (SD) [No.] Continuous pain Intermittent pain Neuropathic pain Affective descriptors Pain intensity (11-point NRS), mean (SD) [No.] Pain burden (11-point NRS), mean (SD) [No.] McGill PPI,f mean (SD) [No.] Secondary outcome measures Quality of life (WHO-5),g mean (SD) [No.] HADS total score,h mean (SD) [No.] Self-reported use of nonprescription pain medication during last week, No. (%), times/wk No use 1-2 3-4 5-6 7-8 .8 Missing Self-reported use of prescription pain medication during last week, No. (%), times/wk 0 1-2 3-4 5-6 7-8 .8 Missing Pa Intervention Group (n = 67) Control Group (n = 62) .42 Pa Dropouts From Baseline to Postintervention (T2; n = 22) Respondents (Returned Questionnaires; n = 107) .94 41 (61.2) 5 (7.5) 40 (64.5) 8 (12.9) 39 (58.2) 5 (7.5) 23 (34.3) 38 (61.3) 6 (9.7) 18 (29.0) 62 (92.5) 4 (6.0) 1 (1.5) 52 (83.9) 7 (11.3) 3 (4.8) 16 (72.7) 6 (27.3) 77 (72.0) 30 (28.0) 7 (31.8) 4 (18.2) 11 (50.0) 70 (72.0) 7 (6.5) 30 (28.0) 19 (86.4) 2 (9.1) 1 (4.6) 95 (88.8) 9 (8.4) 3 (2.8) .01 .75 .27 .90 .25 2.90 (1.64) [65] 3.31 (2.10) [62] .86 3.2 (2.13) [22] 3.1 (1.84) [105] .08 .28 .86 .22 .57 .04 .12 3.24 2.91 3.08 2.43 5.5 5.8 2.6 3.96 3.37 3.01 2.89 5.3 6.5 2.9 .81 .88 .44 .82 .58 .44 .68 3.5 3.1 3.4 2.7 5.7 5.9 2.7 3.6 3.2 3.0 2.6 5.4 6.2 2.8 .31 .22 .52 46.4 (19.41) [67] 16.5 (6.66) [67] 18 17 6 10 6 9 1 (2.01) (2.10) (2.09) (1.88) (2.09) (1.82) (0.72) [66] [67] [66] [66] [60] [66] [64] (26.9) (25.4) (9.0) (14.9) (9.0) (13.4) (1.5) (2.52) (2.67) (2.28) (2.27) (2.56) (2.05) (0.88) [62] [62] [62] [62] [56] [62] [56] 42.0 (22.00) [61] 18.1 (7.47) [61] 20 16 9 5 2 9 1 .48 .53 .03 (32.3) (25.8) (14.5) (8.1) (3.2) (14.5) (1.6) .29 (2.28) (2.65) (2.38) (2.10) (2.58) (2.20) (1.02) [22] [22] [22] [22] [19] [21] [21] 47.1 (17.5) [22] 16.4 (6.6) [22] (2.30) (2.34) (2.14) (2.10) (2.28) (1.92) (0.76) [106] [107] [106] [106] [97] [107] [99] 43.7 (21.4) [106] 17.5 (7.2) [106] 4 4 4 6 3 1 (18.2) (18.2) (18.2) (27.3) (13.6) (4.5) — 34 29 11 9 5 17 2 (31.8) (27.1) (10.3) (8.4) (4.7) (15.9) (1.9) 13 4 2 2 1 0 (59.1) (18.2) (9.1) (9.1) (4.5) (0.0) — 71 9 5 2 7 12 1 (66.4) (8.4) (4.7) (1.9) (6.5) (11.2) (0.94) .15 46 6 2 4 4 5 (68.7) (9.0) (3.0) (6.0) (6.0) (7.5) — 38 7 5 0 4 7 1 (61.3) (11.3) (8.1) (0.0) (6.5) (11.3) (1.6) NOTE. The total sample consists of 129 women. Abbreviations: ALND, Axillary Lymph Node Dissection; CAM, complementary and alternative; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; NRS, numerical rating scale; SD, standard deviation. aStatistically significant group differences (P , .05) are shown in boldface. bFurther education refers to years of education beyond high school. cThe number of women with ER-positive tumors and the number of women receiving endocrine treatment differs slightly. The indication for endocrine treatment was changed in 2010 (from $ 10% to $ 1% ER-positive tumor cells); thus, women with 1% to 9% ER-positive tumor cells treated before 2010 were not offered endocrine treatment. Also, a number of patients declined receiving endocrine treatment or may have ended their endocrine treatment prematurely because of adverse effects. dCharlson Comorbidity Index.26 eShort Form McGill Pain Questionnaire 2.28 fPresent Pain Intensity subscale from the McGill Pain Questionnaire.29 gWorld Health Organization–5 Well-Being Index.31,32 hHospital Anxiety and Depression Scale.33 has been proposed to correspond to a 2-point reduction.41 At T3, the mean reduction in pain intensity in the intervention group reached 1.9, suggesting a clinically important effect. Neuropathic pain is often reported by women treated for BC42 and has been found difficult to treat pharmacologically.43 Thus, the observed reduction in neuropathic pain may be of possible clinical 3394 relevance. However, because of less robust results, the neuropathic pain findings should be considered preliminary. In addition, a statistically significant effect on self-reported use of nonprescription pain medication was detected, which has not previously been reported for MBT with women treated for BC. However, as more women in the intervention group than controls discontinued participation, and as © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. JOURNAL OF CLINICAL ONCOLOGY www.jco.org Outcome 42.0 (22.00) [61] 18.1 (7.5) [61] 1.7 (1.8) [61] 2.1 (1.8) [61] 46.4 (19.4) [67] 16.5 (6.7) [67] 1.9 (1.8) [66] 1.9 (1.7) [67] (2.52) [62] (2.67) [62] (2.28) [62] (2.27) [62] (0.9) [56] (2.6) [56] (2.1) [62] 3.96 3.37 3.01 2.89 2.9 5.3 6.5 3.24 2.91 3.08 2.43 2.6 5.5 5.8 (2.01) [66] (2.09) [67] (2.10) [66] (1.88) [66] (0.7) [64] (2.1) [60] (1.8) [66] 3.31 (2.10) [62] Control 2.90 (1.64) [65] Treatment (1.78) [46] (1.71) [46] (1.93) [46] (1.19) [46] (0.9) [45] (2.0) [43] (1.8) [46] 2.1 (1.7) [46] 56.8 (16.6) [46] 15.7 (5.1) [46] 1.5 (1.6) [46] 2.63 2.25 2.39 1.47 2.1 4.02 4.4 2.19 (1.35) [46] Treatment (2.35) [61] (2.66) [61] (2.29) [61] (2.12) [61] (0.9) [53] (2.5) [57] (2.2) [59] 2.2 (1.9) [60] 45.5 (21.2) [60] 18.3 (6.4) [61] 1.8 (1.7) [59] 3.62 3.38 2.95 2.51 2.8 5.3 5.7 3.11 (2.04) [61] Control Postintervention (1.77) [41] (1.86) [42] (1.75) [41] (1.31) [40] (1.0) [39] (2.1) [39] (2.2) [42] 1.8 (1.5) [42] 57.2 (19.9) [41] 14.4 (5.9) [41] 1.6 (1.7) [42] 2.83 2.18 2.41 1.42 2.0 3.6 4.1 2.16 (1.41) [40] Treatment (2.37) [57] (2.62) [57] (2.10) [57] (2.14) [57] (0.6) [53] (2.4) [52] (2.4) [57] 1.9 (1.8) [57] 46.9 (23.1) [57] 17.5 (6.5) [57] 2.0 (1.9) [56] 3.69 3.30 2.86 2.44 2.7 5.0 5.7 3.07 (2.03) [57] Control 3-Month Follow-Up Table 2. Primary and Secondary Outcomes and Estimates of Treatment Effects (1.84) [39] (1.87) [39] (1.87) [39] (1.44) [39] (0.9) [36] (1.9) [38] (2.4) [39] 1.9 (1.7) [39] 56.2 (20.6) [39] 16.1 (6.4) [39] 1.6 (1.8) [39] 2.65 2.32 2.56 1.62 2.1 4.1 4.3 2.29 (1.48) [39] Treatment 2.1 (1.9) [56] 45.1 (22.8) [56] 17.8 (6.4) [57] 1.9 (2.0) [56] 3.57 (2.51) [57] 3.51 (2.48) [57] 3.07 (2.34) [57] 2.59(2.07) [57] 2.6 (0.9) [50] 5.1 (2.5) [53] 5.8 (2.3) [52] 3.18 (2.06) [57] Control 6-Month Follow-Up .051 .036 .702 .111 .036 .140 .026 .002 .077 (0.22) (0.23)d (0.04) (0.31) (0.24) (0.27) (0.26) (0.61)f (0.34) 0.2, .662 (0.05) 4.9, .028 (0.42) 1.2, .275 (0.21) 4.4, .038 (0.40) 3.8, 4.4, 0.1, 2.6, 4.5, 2.2, 5.0, 9.9, 3.2, Time 3 Group Interactiona F, P (Cohen’s d )b NOTE. Data presented as mean (SD) [No.] unless otherwise noted. Abbreviations: NRS, numerical rating scale; QoL, quality of life; SD, standard deviation. aStatistically significant results (P , .05) are shown in boldface. Note that similar P values can yield different effect sizes because of the number of random parameters specified in the model. bModels specifying a random slope in addition to a random intercept. Note that higher effect sizes may be nonsignificant depending on the degrees of freedom in the model as a result of the number of parameters specified as random. cShort Form McGill Pain Questionnaire 2.28 dSignificant when including NRS pain burden at baseline as a covariate ePresent Pain Intensity subscale from the McGill Pain Questionnaire.29 fStatistically significant result after adjusting for multiple comparisons (Benjamin-Hockberg procedure). gWorld Health Organization–5 Well-Being Index.31,32 hHospital Anxiety and Depression Scale.33 iPain medication was measured as self-reported use of (prescription) pain medication during the last week and was asked in a categorical format (see categories in Table 1). In the analyses, however, the variables were entered as continuous variables (interval scale). Therefore, the reported means and SDs do not reflect actual use (i.e. number of times that pain medication was used). Primary outcomes SF-MPQ-2c SF-MPQ-2 subscalesc Continuous Intermittent Neuropathic Affective MPQ PPIe Pain intensity Pain burden Secondary outcomes QoLg HADSh Use of nonprescription pain medicationi Use of prescription pain medicationi Baseline Efficacy of MBCT on Late Post-Treatment Pain Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. © 2016 by American Society of Clinical Oncology 3395 Johannsen et al Patients screened for eligibility (N = 1,546) 79.7% Eligible patients (n = 314; 20.3%) 7.4% Eligible and interested patients (n = 200; 12.9%) 4.4% Informed consent received (n = 132; 8.5%) 0.2% Pain ≤ 2 No valid pain assessment Ineligible Not interested (no to contact) (n = 1,162) (n = 61) (n = 9) (n = 114) Declined due to: Transportation challenges (n = 2) Schedule conflict (n = 34) Lack of energy (n = 2) Use of other pain treatment (n = 2) Reason unknown (n = 28) Withdrew consent (reason unknown) (n = 3) Returned baseline questionnaires (n = 129; 8.3%) Randomly assigned (n = 129) Dropped out before the intervention due to: (n = 4) (n = 1) (n = 1) Schedule conflict Family concerns Reason unknown Allocated to MBCT (n = 67) Allocated to wait list control (n = 62) Dropped out during the intervention due to: Schedule conflict Hearing and language difficulties Too emotionally challenging Lack of motivation Lost to follow-up (reason unknown) Did not want to be on the wait list (n = 2) (n = 1) (n = 2) (n = 7) Post intervention (8 weeks) Returned questionnaires (n = 46; 68.7%) Withdrew (n = 1) (n = 3) Post intervention (8 weeks) Returned questionnaires (n = 61; 98.4%) Death in family Lost to follow-up (reason unknown) (n = 3) Lost to follow-up (reason unknown) (n = 1) Lost to follow-up (reason unknown) (n = 3) 3-month follow-up Returned questionnaires (n = 42; 62.7%) 3-month follow-up Returned questionnaires (n = 57; 91.9%) 6-month follow-up Returned questionnaires (n = 39; 58.2%) 6-month follow-up Returned questionnaires (n = 57; 91.9%) Included in analyses (Intent-to-treat sample) (n = 67) Included in analyses (Intent-to-treat sample) (n = 62) (n = 1) (n = 3) Fig 1. CONSORT study flow diagram. MBCT, mindfulness-based cognitive therapy. 3396 © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. JOURNAL OF CLINICAL ONCOLOGY [57] 2.5 [39] [46] 2 [40] 1.5 T2 T3 Intermittent pain (SF-MPQ-2) 4 [61] [57] [57] 3 [67] 2.5 [39] [46] 2 [42] 1.5 T1 T2 T3 Mean With Error Bars: 95% CI Pain burden (11-point NRS) [62] 6 [66] [59] [57] [52] 5 [46] 4 [42] [39] 3 T1 T2 T3 T4 [61] [62] [57] [57] [39] 2.5 [46] [41] 2 1.5 T1 T2 T3 Affective pain descriptors (SF-MPQ-2) 3 [62] 2.5 [66] [61] [57] [57] 2 [39] 1.5 [46] [40] 1 0.5 T1 T2 T3 Continous pain (SF-MPQ-2) 5 4.5 4 T4 [62] [61] 3.5 [57] [57] [66] 3 2.5 [46] [41] [39] 2 T1 T4 3.5 T4 8 7 [66] 3 T4 4.5 3.5 [62] 3.5 Mean With Error Bars: 95% CI [57] 3 [65] T1 Mean With Error Bars: 95% CI [61] Mean With Error Bars: 95% CI [62] Neuropathic pain (SF-MPQ-2)* 4 Mean With Error Bars: 95% CI 3.5 Mean With Error Bars: 95% CI SF-MPQ-2 total score* 4 Mean With Error Bars: 95% CI Mean With Error Bars: 95% CI Efficacy of MBCT on Late Post-Treatment Pain T2 T3 T4 Evaluative pain (PPI MPQ)* 3.5 3 [56] [53] 2.5 [53] [64] [50] [36] 2 [45] [39] 1.5 T1 T2 T3 T4 Pain intensity (11-point NRS)* 6.5 Intervention 6 5.5 5 Control No. of respondents appears in brackets [60] [57] [52] [56] [53] 4.5 [38] 4 [43] 3.5 T1: Baseline T2: Post-intervention T3: 3-month follow-up T4: 6-month follow-up *Statistically significant effect (P < .05) [39] 3 2.5 T1 T2 T3 T4 Fig 2. Raw scores on primary outcomes from baseline to 6-month follow-up. MPQ, McGill Pain Questionnaire; NRS, numerical rating scale; PPI, Present Pain Intensity; SF-MPQ-2, Short Form McGill Pain Questionnaire 2. dropouts had used more nonprescription pain medication at baseline than completers, the effect could possibly be inflated by drop-out bias. In contrast to previous reported effects of MBTs on anxiety and depression,12,13,45 we found no statistically significant effects on psychological distress. A possible explanation could be that although the mean HADS distress score in the present sample exceeded the suggested clinical cutoff,46 participants were included on the basis of their pain experience and not their distress levels. Furthermore, MBCT focuses on the here-and-now experience, and the participants’ pain experiences as they unfolded during the sessions were the main focus during the intervention. Although we found no effect of MBCT on psychological distress, we did find an effect on QoL, supporting the findings of a previous MBT study with patients with BC that had included a 3-month follow-up.45 Our results extend these findings by reporting an effect that goes beyond 3 months. The minimum clinically important difference www.jco.org for the WHO-5 has been suggested to be a 10% change in the total score.45 At T3 and T4, the intervention group reported an improvement of 10.8% and 9.7%, respectively, suggesting a clinically significant improvement in QoL. The current study has several strengths, including a relatively large sample, a randomized design, and long-term (6 months) follow-up data. In addition, patient selection was based on initial pain levels. However, some possible limitations should be noted. Although the purpose of the current study was to investigate the efficacy of MBCT on post-treatment pain, we used a wait-list control group rather than an active treatment control group. Thus, the present results offer no data on the possible superiority of MBCT compared with other interventions or on how the intervention may exert its effect. Research is needed investigating various psychological mechanisms (eg, level of mindfulness, selfcompassion, and pain catastrophizing)47,48 by conducting mediation © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. 3397 Johannsen et al 22 [46] [41] [39] 55 50 [67] [60] [57] [56] [61] 40 35 3 20 18 16 [61] [61] [57] [57] [67] [46] 14 [39] [41] T2 T3 T4 2.5 2 [56] [66] [56] [59] [61] 1.5 [39] [46] [42] 1 12 T1 Mean With Error Bars: 95% CI 60 Mean With Error Bars: 95% CI Mean With Error Bars: 95% CI 65 45 Use of non prescription pain medication* Psychological distress (HADS) Quality of life (WHO-5)* T1 T2 T3 T4 T1 T2 T3 T4 Use of prescription pain medication Mean With Error Bars: 95% CI 3 Intervention 2.5 [60] [61] 2 Control No. of respondents appears in brackets [67] [57] [46] [56] [39] T1: Baseline T2: Post intervention T3: 3-month follow-up T4: 6-month follow-up [42] *Statistically significant effect (P < .05) 1.5 1 T1 T2 T3 T4 Fig 3. Raw scores on secondary outcomes from baseline to 6-month follow-up. HADS, Hospital Anxiety and Depression Scale; WHO-5, World Health Organization–5 Well-Being Index. analyses and including active control groups. Another issue could be the unbalanced dropout at T2, with more dropouts in the intervention group than in controls, possibly introducing biased estimates. However, dropout analyses did not reveal any baseline differences between dropouts and respondents on any primary outcome measures, nor did baseline pain intensity predict dropout at T2. In addition, the sensitivity analyses conducted for pain intensity indicated that the results were robust. Future studies are advised to include more assessment time points to determine whether dropout is related to treatment gain and should focus on strategies that may help retain more participants (eg, booster sessions), especially because other MBT studies with patients with BC report comparable dropout rates (29% to 32%).13,19 Other limitations include that the current study is a single-center trial design with only one instructor. Furthermore, although measuring several aspects of pain, we did not include a specific measure of pain interference or targeted BC-specific types of pain (eg, joint aches), nor did we ask participants to indicate the duration of their pain. However, all women were included $ 3 months post-treatment, which corresponds to the chronic pain definition stated by the International Association for the Study of Pain. 49 Finally, although there were generally no group differences at baseline, the difference found for perceived pain burden could suggest a less than optimal randomization. However, all primary outcome analyses were adjusted for this variable. 3398 In conclusion, statistically significant, robust, and clinically relevant effects of MBCT were found for pain intensity, and the effect seemed relatively stable over time. One out of every five patients with BC continues to experience pain even several years after ending treatment,5,6 and persistent pain generally seems to be difficult to treat effectively pharmacologically. Our results suggest that MBCT could be an efficacious treatment option for women treated for BC with late post-treatment pain. Further research is needed to determine the mechanisms of the effect and to explore how the effects can be even better maintained over time. AUTHORS’ DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST Disclosures provided by the authors are available with this article at www.jco.org. AUTHOR CONTRIBUTIONS Conception and design: Maja Johannsen, Maja O’Connor, Anders Bonde Jensen, Robert Zachariae Collection and assembly of data: Maja Johannsen, Maja O’Connor Data analysis and interpretation: Maja Johannsen, Mia Skytte O’Toole, Anders Bonde Jensen, Inger Højris, Robert Zachariae Manuscript writing: All authors Final approval of manuscript: All authors © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. JOURNAL OF CLINICAL ONCOLOGY Efficacy of MBCT on Late Post-Treatment Pain REFERENCES 1. McPherson K, Steel CM, Dixon JM: ABC of breast diseases. Breast cancer-epidemiology, risk factors, and genetics. BMJ 321:624-628, 2000 2. Mouridsen HT, Bjerre KD, Christiansen P, et al: Improvement of prognosis in breast cancer in Denmark 1977-2006, based on the nationwide reporting to the DBCG Registry. 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J Pain 12: 725-746, 2011 n n n www.jco.org © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. 3399 Johannsen et al AUTHORS’ DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST Efficacy of Mindfulness-Based Cognitive Therapy on Late Post-Treatment Pain in Women Treated for Primary Breast Cancer: A Randomized Controlled Trial The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO’s conflict of interest policy, please refer to www.asco.org/rwc or jco.ascopubs.org/site/ifc. Maja Johannsen No relationship to disclose Maja O’Connor No relationship to disclose Mia Skytte O’Toole No relationship to disclose Anders Bonde Jensen Honoraria: Amgen Travel, Accommodations, Expenses: Amgen Inger Højris No relationship to disclose Robert Zachariae Research Funding: LEO Pharma © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved. JOURNAL OF CLINICAL ONCOLOGY Efficacy of MBCT on Late Post-Treatment Pain Acknowledgment We thank all the participating women; the Danish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen University Hospital, for providing the clinical data; professor and biostatistician Michael Væth for helpful suggestions concerning the dropout analyses; and Jacob Piet for valuable discussions during the planning of the study. www.jco.org © 2016 by American Society of Clinical Oncology Downloaded from jco.ascopubs.org by JCO Gratis on September 27, 2016 from 24.90.166.239 Copyright © 2016 American Society of Clinical Oncology. All rights reserved.
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