Correspondence to Jodi M Gilman; [email protected]
Strengths and limitations of the study
This randomised, pragmatic trial in adults on chronic opioids for non-cancer pain will test whether cannabis use is associated with reduced opioid dose and reduced pain ratings when added to a behavioural pain management intervention.
We aim to enrol 250 participants across three sites, which will provide sufficient power to analyse the two primary outcomes, change in prescription monitoring programme-verified opioid dose and Pain, Enjoyment and General Activity score.
This pragmatic trial makes use of the cannabis distribution system being put into place in many US states and, as such, a limitation of this study is that it cannot include a placebo or control for the type or amount of cannabis used by participants.
Introduction
Approximately 50 million adults in the USA suffer from chronic, non-cancer pain (CNCP),1 a debilitating medical condition that is challenging to manage. Though nearly 25% of those with CNCP are treated with chronic opioid therapy (COT),2 the evidence to support the long-term effectiveness of opioid analgesics for pain and functional status is limited.3 In addition, high dose COT increases the risk for opioid use disorder (OUD) and subsequent opioid overdose death.4–9 The proposed CDC Clinical Practice Guidelines for Prescribing Opioids-202210 recommends several strategies to mitigate risks of opioid use for chronic pain. These include the following: (1) initiating opioid therapy only if expected benefits to pain management and functioning outweigh risks, (2) utilising non-opioid and non-pharmacologic approaches for pain management, (3) prescribing the lowest dosage to achieve expected effects and (4) working collaboratively with patients to taper to lower dosages if risks outweigh benefits of continued use.10 Available evidence indicates that COT dose reduction generally improves pain, function and quality of life for individuals with CNCP.11 However, since optimal strategies for helping individuals reduce their opioid dose in real-world settings are largely unknown,12 there are concerns that the risk for overdose increases during tapering due to rapid discontinuation and variability in dosing.13–15
Cannabis and cannabinoids have been explored as potential treatments for chronic pain, and chronic pain is the most common reason individuals give for seeking state-issued medical cannabis cards.16 However, there is inconclusive evidence regarding the effectiveness of cannabis in facilitating analgesia.17 A Cochrane review of randomised controlled trials (RCTs) of cannabinoids for pain included studies of nabilone (FDA approved synthetic THC, two studies), dronabinol (plant‐derived THC, two studies), sativex (nabiximols in the USA, an oromucosal spray with a 1:1 ratio of plant‐derived THC and cannabidiol (CBD), 10 studies) and combusted herbal cannabis (two studies) and concluded that there was a lack of evidence that any cannabis-derived product was effective for any form of chronic pain.18 A review by the Department of Veterans Affairs19 similarly concluded that there was insufficient evidence to support efficacy of cannabis products for chronic pain. Though, it is worth noting they reported that low-quality evidence suggested cannabis may alleviate neuropathic pain for some patients. A recent RCT found no effect of commercial cannabis products obtained with medical marijuana cards on self-rated pain scores.20 Yet, a 2017 report from the National Academies of Sciences, Engineering and Medicine21 reported “conclusive or substantial evidence” that cannabis is effective in treating chronic pain. Thus, there are contradictions in the literature surrounding the effectiveness of cannabis products for managing pain.
Despite the lack of sufficient evidence, cannabis began to be promoted as a substitute for opioids following a widely publicised study reporting that states with legal medical cannabis had lower-than-expected opioid overdose mortality rates from 1999 to 2010.22 Despite a reanalysis of state-level data through 2017 that showed the opposite trend23 and no studies demonstrating efficacy, cannabis has been approved by many states as a ‘treatment’ for OUD.24 Although a recent systematic review suggests that cannabis used in combination with opioids to treat CNCP may reduce opioid dose,25 to date, there are no published reports of RCTs investigating the effectiveness of cannabis for reducing opioid utilisation. Still, many patients self report using cannabis as an alternative to to pharmaceutical prescriptions, including opioids and adjuvant therapies.26
Behavioural interventions are associated with sustained improvements in functioning for those with chronic pain,27 particularly among those with co-occurring mental health diagnoses.28 Patients with CNCP and comorbid mental health diagnoses are more likely to be prescribed opioids, be prescribed a higher dose and to report chronic opioid use, compared with those with CNCP without mental health conditions.29–33 The current study utilises a behavioural intervention, based on the Prescription Opioid Taper Support (POTS) programme,34 to help participants develop pain self-management skills and promote an individualised, voluntary opioid taper with a goal of a 10% reduction from the baseline dose every 4 weeks. Drawing on several therapeutic modalities, including cognitive behavioural therapy and motivational interviewing, this intervention promotes a strong therapeutic relationship and encourages participant autonomy in problem-solving challenges associated with chronic pain.35 36
Objectives
The goal of this study is to provide controlled trial data about the potential benefits and unintended consequences of using cannabis, primarily from commercial cannabis dispensaries, to treat CNCP; we hope that these findings can help patients and providers make more informed treatment decisions. The primary objective of this study is to evaluate whether cannabis (CB), when added to the 24-week POTS programme, reduces opioid dose and/or improves pain intensity and interference in adults on COT for CNCP from baseline to 24 weeks, more so than those assigned to a waitlist (WL) conditon in which they agree to wait 6 months to use cannabis, but receive the POTS intervention (WL+POTS). Prescription Monitoring Programme (PMP)-verified opioid dose and Pain, Enjoyment and General Acitivity (PEG)37 score are our coprimary outcomes.
The secondary objectives are to evaluate whether participants assigned to CB+POTS, compared with those assigned to WL+POTS, have improved quality of life, depression, anxiety and reduced self-report opioid dose from baseline to 24 weeks. This study will evaluate changes in the number of OUD symptoms, as well as whether those assigned to CB+POTS develop symptoms of cannabis use disorder (CUD) over the 24-week intervention and at 12 months.
Methods and analysis
The full protocol is included as supplementary information (online supplemental file 1).
Study design
A randomised, pragmatic, single-blind controlled trial.
Study population
Adults ages 18–75 years old at three academic hospitals in the Northeastern USA (Massachusetts General Hospital, Cambridge Health Alliance, Maine Medical Centre) with CNCP on stable prescription opioid doses of ≥25 morphine milligram equivalents (MME)/day for at least 90 days who plan to use cannabis to control pain and/or reduce opioid dose will be invited to participate. Participants will be recruited through physician referrals, clinical programmes associated with the healthcare systems and community advertising. Importantly, to be eligible, participants must be willing to abstain from any cannabis use during the intervention and to wait 24 weeks before using cannabis if they are randomised to the WL+POTS group. A full list of inclusion criteria can be found in box 1. Exclusion criteria include current regular cannabis use (>weekly) in the past 12 months, use of non-prescribed opioids and uncontrolled major medical illness. Current moderate to severe substance use disorders, with the exception of tobacco and OUDs, are also exclusionary. A full list of exclusion criteria can be found in box 2.
Box 1Inclusion criteria
Men and women aged 18–75, inclusive.
Endorsing>6 months of chronic, non-cancer pain.
On stable prescription opioid doses of ≥25 morphine milligram equivalents/day for >90 days, verified by the prescription monitoring programme.
Either no prior use or current light cannabis use (weekly or less in the past 12 months, less than 10 times in the past 90 days).
Plans to use medical cannabis for pain to control pain and/or reduce opioid dose.
Competent and willing to provide written informed consent in English.
Potential participants of childbearing potential must have a negative urine pregnancy test at enrolment and agree to use effective contraception: abstinence; hormonal contraception; intrauterine device, sterilisation or double barrier contraception, during the study.
Exclusion criteria
Current cannabis use (including ingested/inhaled cannabidiol products) of greater than weekly on average in the past 12 months, assessed via self-report (no more than 10 times in the past 90 days).
Current cannabis use disorder; moderate to severe substance use disorder for any substance (eg, alcohol, cocaine, stimulant) by structured interview, EXCEPT nicotine and opioids (opioid use disorder).
Current uncontrolled major medical illness, such as cancer, cardiovascular disease, sickle-cell disease, symptomatic hypothyroidism/hyperthyroidism or severe respiratory compromise.
Use of non-prescribed opioids, by self-report or urine toxicology screen.
Dose change or initiation of medications with significant analgesic effects (eg, tricyclic antidepressants, selective serotonin reuptake inhibitors (SSRIs), gabapentin, non-steroidal anti-inflammatory drugs) in the past 4 weeks, verified by electronic health record.
Concomitant medications will be discussed at each study visit, and any medications that may interact with cannabinoids (eg, warfarin) will be discussed with a study clinician prior to enrolment or continued participation.
Actively suicidal and/or suicide attempt or psychiatric hospitalisation in past year, or current suicidal ideation with specific plan or intent.
History of intellectual disability (eg, Down’s syndrome) or other severe developmental disorder or IQ<70.
Current diagnosis of delirium, dementia, amnestic or other cognitive disorder; current diagnosis of bipolar II disorder; lifetime diagnosis of a clinically significant personality disorder (eg, borderline, antisocial, paranoid, schizoid, schizotypal, histrionic personality disorders); lifetime diagnosis of bipolar I, schizophrenia spectrum or other psychotic disorder.
Surgery within the past month or planned during the next 6 months.
Pregnant or trying to get pregnant or breastfeeding.
In the opinion of the investigator or study physicians, not able to safely participate in this study.
Participant enrollment
Interested participants will complete a telephone screen for eligibility. All individuals who are potentially eligible based on the phone screen will be scheduled for an enrolment visit where written informed consent will be obtained by a trained member of study staff. The consent form is available as supplemental information (online supplemental file 2). Study physicians or their delegates will use the PMP to document prescriptions for opioids and other medications monitored by the PMP. Additionally, they will use the electronic health record to document concomitant medications to improve the accuracy of self-reported of current medications.
Participants will be asked to share their participation in the study with their treatment team(s). Study staff will contact the provider(s) primarily responsible for the participant’s opioid prescribing at the time of enrolment to inform them of their patient’s participation in the study, and again each time a new dose is agreed on by the participant and the study team. Decisions regarding opioid dose adjustment are subject to approval by the prescribing physician.
Randomisation and allocation concealment
After the baseline visit, participants will be randomly assigned 1:1 to CB+POTS: WL+POTS in blocks of 3–6 (depending on speed of recruitment). If more patients drop out in the WL+POTS group, participants will be randomised in blocks, 1:2 CB+POTS:WL+POTS to achieve the goal of 100 patients completed in each arm by the end of the trial.20 Block randomisation will be done so that groups will be comprised only of participants in the same randomisation group; thus, those assigned to CB+POTS would not be in the same behavioural pain management groups as those assigned to WL+POTS .
Randomisation will be computer generated. Assessments will be conducted by study staff blind to the study intervention. Blinding of participants after group assignment is not possible due to the study design.
Interventions
Participants will be assigned to either begin cannabis use without delay (CB+POTS), or to a waitlist control (WL+POTS), in which they are incentivised through payments, to wait 24 weeks before beginning to use cannabis. After the 24-week period, those in the WL+POTS group will have the option to begin cannabis use. This is a pragmatic trial in which participants choose their cannabis products, dose and frequency of use, which mimics the certification process for cannabis in many states (where patients have a broad range of choice in products and dosing) and mimics the use of recreational cannabis outside of any healthcare interactions. All participants will continue other medical care as usual.
All study participants, regardless of randomisation group, will participate in the POTS programme. POTS is a 24-week intervention that teaches behavioural pain self-management strategies and supports a voluntary taper of COT dose. POTS was developed by Turner and Sullivan,34 and will be modified in this study to (1) allow for implementation in a group format, (2) reorder skill training based on the perceived difficulty of the skills being taught and (3) increase length of the programme from 18 to 24 weeks. There will be two additional sessions in weeks 25–26 to facilitate return of care to the primary care physician. During the five POTS sessions in study weeks 4–20 that coincide with monthly study visits, study clinicians will work with participants to reduce opioid dose in increments of approximately 10% of the baseline opioid dose. POTS sessions will be conducted virtually via teleconference with groups of 3–6 study participants and will last 1 hour. Sessions will be led by a trained clinician and use components of cognitive behavioural therapy, mindfulness and motivational interviewing to help individuals better manage their chronic pain and achieve an opioid dose reduction. POTS session content can be found in table 1.
Table 1POTS session content
Session | Content |
Session 1 (individual) | Individual session to discuss pain and opioid use history, goals for taper |
Session 2 | Group introductions, relationship building, set expectations for participation, introduce tapering schedules, discuss overdose prevention strategies |
Session 3 | Psychoeducation: chronic opioid therapy |
Session 4* | Diaphragmatic breathing |
Session 5 | Psychoeducation: pain neurobiology and pain gate theory |
Session 6 | Psychoeducation: pain neurobiology and pain gate theory |
Session 7 | Relaxation techniques and introduction to seven muscle group progressive muscle relaxation |
Session 8* | Guided practice of seven-muscle group progressive muscle relaxation |
Session 9 | Diaphragmatic breathing-guided practice; psychoeducation on importance of sleep |
Session 10 | Distraction for pain relief |
Session 11 | Pacing and activity scheduling |
Session 12* | Counterstimulation |
Session 13 (individual) | Individual session to discuss opioid taper, experience with behavioural pain self-management techniques, individual challenges |
Session 14 | Coping with pain flare-ups |
Session 15 | Brief diaphragmatic breathing; introduction and practice of four-muscle group progressive muscle relaxation with tension |
Session 16* | Introduction and practice of four-muscle group progressive muscle relaxation without tension and guided practice |
Session 17 | Developing positive coping thoughts and coping self-statements |
Session 18 | Psychoeducation: self-compassion |
Session 19 | Brief body scan |
Session 20* | Mini-relaxation and incorporation into daily routine |
Session 21 | Pain beliefs and activity avoidance |
Session 22 | Setting pleasurable activity goals |
Session 23 | Psychoeducation: social and emotional factors that influence pain |
Session 24 | Maintaining gains and dealing with setbacks |
Session 25 | Group termination, skills review, facilitation of return of care to Primary Care Provider |
Session 26 (individual) | Individual termination session, facilitate return of care to Primary Care Provider |
*Taper Point.
POTS, Prescription Opioid Taper Support.
Data collection
Participants will complete a daily online survey with questions regarding pain intensity and interference (PEG scale; range, 0–30), cannabis use, opioid use (MME/day) and ratings of sleep quality, mood and general health. Daily survey data will be assessed from 2 weeks pre-baseline to 24 weeks.
Study visits will take place approximately at weeks 0 (baseline), 4, 8, 12, 16, 20 and 24. Data collection at these visits will include self-administered and clinician-administered assessments. Assessments will use standard, validated measures, selected for consistency with the PhenX Toolkit,38 the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) recommendations for chronic pain trials39 and the National Institutes of Health (NIH) Research Standards for Chronic Low Back Pain.40 A follow-up assessment will also be conducted at 12 months by telephone.
At all study visits, participants will provide a urine sample which will be qualitatively screened for substances, including opioids and cannabinoids, and used to verify that those assigned to WL+POTS are not using cannabis prior to week 24. Urine samples from the CB+POTS group will be sent to the Pharmacy and Therapeutics Committee at the University of Colorado School of Medicine for a quantitative metabolite assay to measure cannabis metabolites.
Outcomes
The primary outcome is to evaluate whether adults with CNCP on COT assigned to CB+POTS, compared with those assigned to WL+POTS, have (1) greater reduction in PMP-verified opioid dose (MME/day) at 24 weeks compared with baseline, and/or (2) greater improvement in pain intensity and interference (PEG scores) from postbaseline to 24 weeks as assessed by daily diaries (coprimary outcomes).
The secondary outcomes of this study are to evaluate whether participants assigned to CB+POTS, compared with those assigned to WL+POTS, have improved quality of life, depression and anxiety and reduced self-reported opioid dose.
We also plan to evaluate whether those assigned to CB+POTS have a reduced number of OUD symptoms at 24 weeks compared with WL+POTS, as well as if they have developed symptoms of CUD at 24 weeks. See box 3 for a full list of outcome measures.
Box 3Outcome measures
Primary outcome measures
Prescription monitoring programme-verified opioid dose (morphine milligram equivalent; MME) per day.
Pain intensity and interference (Pain, Enjoyment, General Activity (PEG) Scale37 summed score).
Secondary outcome measures
Quality of life (Quality of Life, Enjoyment and Satisfaction Questionnaire-Short Form, Q-LES-Q-SF44).
Depressive symptoms (Patient Reported Outcomes Measurement Information System-29, PROMIS-29 Depression subscale45).
Anxiety symptoms (Patient Reported Outcomes Measurement Information System-29, PROMIS-29 Anxiety subscale45).
Opioid use disorder symptoms (DSM-5 Opioid Use Disorder Checklist46).
Cannabis use disorder symptoms (DSM-5 Cannabis Use Disorder Checklist46).
Self-reported opioid dose (MME/day) collected daily via online survey and then averaged over each month at 24 weeks.
Exploratory outcome measures
Opioid misuse (Current Opioid Misuse Measure, COMM47).
Opioid-related problems (Prescribed Opioid Difficulties Scale, PODS48).
Opioid withdrawal symptoms (Clinical Opiate Withdrawal Scale, COWS;49 Short Opioid Withdrawal Scale, SOWS50).
Opioid use disorder symptoms (DSM-5 Opioid Use Disorder Checklist46) at 12 months.
Cannabis use disorder symptoms (DSM-5 Cannabis Use Disorder Checklist46) at 12 months.
Self-Efficacy (Pain Self-Efficacy Questionnaire, Disorder51).
Pain Catastrophising (Pain Catastrophising Scale, PCS52).
Distress Tolerance (Distress Tolerance Scale, DTS53).
Anhedonia (Snaith-Hamilton Pleasure Scale, SHAPS54).
Delay Discounting (Monetary Choice Questionnaire, MCQ55).
Psychotic Experiences (Peters Delusion Inventory, PDI56).
Suicidal thoughts and behaviours (Concise Health Risk Tracking Scale, CHRT57).
Readiness to change (Readiness Ruler58).
Cognitive function: Verbal (California Verbal Learning Test-Third Edition). 59
Cognitive function: working memory (Weschler Adult Intelligence Scale-IV Digit Span Task60).
Box 3 All outcomes will be analysed as mean difference in scores between baseline and 24 weeks, unless otherwise noted.
Withdrawal from the study
All participants will be informed that participation in the research study is voluntary, and they can withdraw and end their participation at any time. Study staff will work to ensure withdrawn participants stop the study safely and will arrange for follow-up care if needed.
Duration of the trial
It is anticipated that the study will be completed in 4 years (November 2021–March 2025). Primary and secondary outcomes will be accomplished by the end of year 3.
Confidentiality
Patient confidentiality will be protected according to the regulations set forth by the Mass General Brigham Institutional Review Board (IRB). Participants are informed that all records are kept confidential. Paper records are secured in a locked office, and computer data protected with passwords and file access standards.
Data management and statistical analysis
Data will be collected prospectively and managed using a REDCap41 42 database designed by the principal investigators and data manager at MGH. Data will be entered by IRB-approved study staff who are trained in best practices for human subjects research. Daily survey data will be entered directly by participants who will be trained on how to use the application and correctly enter data. The data manager will check data weekly for quality and accuracy.
Baseline patient characteristics by treatment group will be presented as mean (SD), median and count (%), depending on type.
Our coprimary outcomes will be the summed score (ranging from 0 to 30) of the three-item PEG scale, a measure of pain intensity and interference, and total opioid dose in mean daily MME. We will analyse both outcomes using a linear regression model. PEG will be collected daily via self-report through an online survey from baseline to the end of the 24-week period (ie, up to 168 observations per subject), and opioid dose will be verified though the PMP. All postbaseline daily observations for PEG scores will be analysed.
The confirmatory effect of interest for opioid dose will be the treatment (WL+POTS vs CB+POTS) by time (baseline vs week 24) interaction, testing whether there is a significant reduction in opioid dose at week 24 for CB+POTS above and beyond any reduction for WL+POTS. If participants decide to reduce dose at week 24, we will use the reduced dose even if the new dose cannot be immediately implemented (eg, due to delays in refilling prescription) to ensure accurate representation of change.
The confirmatory effect of interest for PEG scores will be a dummy-coded contrast between WL+POTS (the referent, coded as 0) and CB+POTS (coded as 1), testing whether a constant effect of CB exists, averaged over all time points. Additionally, as covariates we will include terms for (a) a quadratic time trend, (b) baseline PEG scores and (c) baseline opioid dose. We assume a conservative additive model, with main effects for the impact of CB and monthly trends, but no treatment by time interaction.
Coefficients and standard errors for the linear model will be obtained using generalised estimating equations.43 The primary contrast testing for a constant effect of CB above and beyond POTS will be deemed statistically significant for p<0.025, thereby adjusting for multiple comparisons given that we have two outcome measures.
We will also conduct sensitivity analyses for each outcome. First, we will examine if the direction and significance of the primary contrast for CB+POTS and WL+POTS is robust to the inclusion of additional covariates that includes a treatment by time interaction. Second, we will examine if the direction and significance of the primary contrast for CB+POTS is robust to our treatment of missing data by fitting the statistical model to the observed data only. Finally, we will conduct an as-treated analysis examining those who used CB regularly (weekly or more) versus those who did not use (verified by negative urine screens and no self-reported use), correcting for “confounding by indication” by weighting data by the inverse probability of being in the CB or non-user group. Additional sensitivity analyses may be required to address unanticipated developments throughout the course of the study.
Examination of PEG scores and opioid dose means that a combination of clinical outcomes is possible (see table 2), which will indicate whether cannabis is helpful, cannabis is harmful or that cannabis has no clear effect on opioid dose/PEG scores. In the third condition, an exploratory analysis will evaluate costs/benefits of cannabis to the individual patient, measured via secondary outcomes, (eg, effect of cannabis on sleep, mood).
Table 2Clinical significance table
Decision | PEG scores at 6 months compared with baseline | Opioid dose at 6 months compared with baseline | Meaning |
CB is beneficial | CB+POTS < WL+POTS | CB+POTS < WL+POTS | CB reduces PEG score and decreases opioid dose |
CB+POTS < WL+POTS | ns | CB reduces PEG score and does not affect opioid dose | |
ns | CB<WL+POTS | CB does not affect PEG score but decreases opioid dose | |
CB is harmful | CB+POTS > WL+POTS | CB+POTS > WL+POTS | CB increases PEG score and increases opioid dose |
CB+POTS > WL+POTS | ns | CB increases PEG score and does not affect opioid dose | |
ns | CB+POTS > WL+POTS | CB does not affect PEG score and increases opioid dose | |
Individual costs/benefits should be evaluated | ns | ns | CB does not affect PEG score or opioid dose |
CB+POTS < WL+POTS | CB+POTS > WL+POTS | CB decreases PEG score but increases opioid dose | |
CB+POTS > WL+POTS | CB+POTS < WL+POTS | CB increases PEG score but decreases opioid dose |
CB, cannabis; ns, not significant; PEG, Pain, Enjoyment and General Acitivity; POTS, Prescription Opioid Taper Support; WL, waitlist.
Secondary outcomes will consist of measures collected at each monthly study visit (measures of quality of life, depression, anxiety, OUD, CUD and self-reported opioid dose). Secondary outcomes will be analysed using the same statistical model as PEG scores, but with the quadratic time trend defined over the monthly visits.
We will use multiple imputation via chained equations to address missing data for both primary and secondary outcomes. Subjects with fewer than 14 days of daily diary entries will be excluded. For daily PEG scores, for runs of missing data (multiple days in a row with missingness), the first and last entry of the run will be imputed.
Sample size
While final analyses will rely on linear regressions robust to clustering and heteroscedasticity, because the key contrast of interest is the mean difference between CB+POTS and WL+POTS, power can be approximated via standard methods for independent sample t-tests. The target sample size was 125 subjects per group, or 100 subjects under a worse-case scenario of 20% attrition. A power curve for each outcome was computed, plotting the required sample size for 80% power against the associated minimum detectable percent reduction in the outcome measure.
For PEG scores, power curve estimates were based on preliminary data, 3205 daily pain scores (a component of PEG scores) reported by 46 subjects in our previous cannabis use study20 over a period of 84 days (roughly 3 months). The mean (6.3) and SD (3.1) for pain scores in the first 2 weeks was used to compute percent reduction. For 125 subjects per group, we would have 80% power to detect a minimum percent reduction of 18% in PEG scores for the CB+POTS group above and beyond that for the WL+POTS group. Even with only 100 subjects per group, we would have 80% power to detect a minimum percent reduction of 20% in PEG scores for the CB+POTS group above and beyond that for the WL+POTS group.
For opioid dose, power curve estimates were based on opioid dose data extracted from 2017 MGH records for the 145 PEG score patients. We used the mean (88) and SD (32) in MME to compute per cent reduction. For 125 subjects per group, we would have 80% power to detect a minimum percent reduction of 13% in opioid dose for the CB+POTS group above and beyond that for the WL+POTS group. Even with only 100 subjects per group, we would have 80% power to detect a minimum percent reduction of 20% in opioid dose for the CB+POTS group above and beyond that for the WL+POTS group.
For our secondary outcome variables, which seek to address other behavioural measures such as OUD symptoms, pain interference, PEG score self-efficacy, pain-related function and psychological functioning (quality of life, depression, anxiety and sleep) in the active group compared with the WL+POTS group, we determined that with 100 participants in each group and 30% attrition (final n=70), we have 89% power to detect a difference in the slopes between baseline and the 6-month visit, at two-tailed p=0.05 level if the true difference in slopes is a 10% improvement on any of these measures in the CB group, and 0%–5% increase in the WL+POTS group.
More information is available in the trial statistical analysis plan (online supplemental file 3).
Adverse events
Research coordinators will ask subjects to report adverse events (AEs) possibly related to cannabis, opioid use and the study intervention at all study visits and at the 12-month follow-up call. AEs will also be reviewed by the Data Safety Monitoring Board (DSMB) every 3 months. The DSMB will consist of one psychiatrist, one statistician and one addiction neuroscientist. Each member of the DSMB will not otherwise be associated with the trial. The DSMB charter is available as supplementary information (online supplemental file 4). Reporting and handling of AEs will be in concordance with IRB regulations and good clinical practice guidelines.
Unblinding
We anticipate the need for assessor unblinding to be unlikely. Study physicians will be unblinded to manage cannabis-related AEs.
Early termination of the trial
The DSMB will conduct a blind analysis of efficacy and safety data when half of the sample is enrolled. If there is a need to terminate this trial early, this decision will be made by the DSMB and submitted to the NIDA Project Officer.
Patient and public involvement
Patients and the public were not involved in the development of the research question, the design, recruitment or conduct of the study, and the burden of the intervention was not assessed by the patients or the public.
Ethics and Dissemination
This study has ethical approval by the Massachusetts General Brigham (MGB) Institutional Review Board (Protocol Number 2021P000871). Informed consent will be obtained from all participants by a trained member of study staff. Important protocol modifications will be submitted to the Institutional Review Board for approval and will be communicated with all participants. Results will be disseminated to participants by email and shared with the public through publication in peer-reviewed journals and presentations at national conferences. Data will be deidentified in all cases.
Ethics statements
Patient consent for publication
Not required.
Contributors JG and AEE developed and designed the trial and obtained funding for the trial. JJ wrote the first draft of this manuscript. JG, AEE, CC, EG, AQ and JJ assisted with the study design. DAS and KP designed the statistical aspects of this protocol. All were involved in the revision of the manuscript. All authors approved the final version to be submitted.
Funding This work is supported by NIDA grant number R01 DA051540-01A1. NIDA has not nor will have any role in the design of the study, the collection, management, analysis or interpretation of data, the writing of manuscripts or the decision to submit the report for publication.
Competing interests AEE reported receiving grants from Charles River Analytics and non-financial support from Pfizer as well as serving as the chair of the data monitoring board of Karuna Pharmaceuticals outside the submitted work.
Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting or dissemination plans of this research.
Provenance and peer review Not commissioned; peer reviewed for ethical and funding approval prior to submission.
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
1 Dahlhamer J, Lucas J, Zelaya C, et al. Prevalence of Chronic Pain and High-Impact Chronic Pain Among Adults - United States, 2016. MMWR Morb Mortal Wkly Rep 2018; 67: 1001–6. doi:10.15585/mmwr.mm6736a2 http://www.ncbi.nlm.nih.gov/pubmed/30212442
2 Dahlhamer JM, Connor EM, Bose J, et al. Prescription opioid use among adults with chronic pain: United States, 2019. Natl Health Stat Report 2021; 162: 1–9.
3 Manchikanti L, Vallejo R, Manchikanti KN, et al. Effectiveness of long-term opioid therapy for chronic non-cancer pain. Pain Physician 2011; 14: E133–56. http://www.ncbi.nlm.nih.gov/pubmed/21412378
4 Bohnert ASB, Valenstein M, Bair MJ, et al. Association between opioid prescribing patterns and opioid overdose-related deaths. JAMA 2011; 305: 1315–21. doi:10.1001/jama.2011.370 http://www.ncbi.nlm.nih.gov/pubmed/21467284
5 Dunn KM, Saunders KW, Rutter CM, et al. Opioid prescriptions for chronic pain and overdose: a cohort study. Ann Intern Med 2010; 152: 85–92. doi:10.7326/0003-4819-152-2-201001190-00006 http://www.ncbi.nlm.nih.gov/pubmed/20083827
6 Edlund MJ, Martin BC, Russo JE, et al. The role of opioid prescription in incident opioid abuse and dependence among individuals with chronic noncancer pain: the role of opioid prescription. Clin J Pain 2014; 30: 557–64. doi:10.1097/AJP.0000000000000021 http://www.ncbi.nlm.nih.gov/pubmed/24281273
7 Gomes T, Mamdani MM, Dhalla IA, et al. Opioid dose and drug-related mortality in patients with nonmalignant pain. Arch Intern Med 2011; 171: 686–91. doi:10.1001/archinternmed.2011.117 http://www.ncbi.nlm.nih.gov/pubmed/21482846
8 Kotlińska-Lemieszek A, Żylicz Z. Less well-known consequences of the long-term use of opioid analgesics: a comprehensive literature review. Drug Des Devel Ther 2022; 16: 251–64. doi:10.2147/DDDT.S342409 http://www.ncbi.nlm.nih.gov/pubmed/35082488
9 Larney S, Tran LT, Leung J, et al. All-Cause and cause-specific mortality among people using Extramedical opioids: a systematic review and meta-analysis. JAMA Psychiatry 2020; 77: 493–502. doi:10.1001/jamapsychiatry.2019.4170 http://www.ncbi.nlm.nih.gov/pubmed/31876906
10 Dowell D, Ragan K, Jones CM. Cdc clinical practice Guildelines for prescribing Opioids-United states, 2022: centers for disease control and prevention 2022.
11 Frank JW, Lovejoy TI, Becker WC, et al. Patient outcomes in dose reduction or discontinuation of long-term opioid therapy: a systematic review. Ann Intern Med 2017; 167: 181–91. doi:10.7326/M17-0598 http://www.ncbi.nlm.nih.gov/pubmed/28715848
12 Weimer MB, Hartung DM, Ahmed S, et al. A chronic opioid therapy dose reduction policy in primary care. Subst Abus 2016; 37: 141–7. doi:10.1080/08897077.2015.1129526 http://www.ncbi.nlm.nih.gov/pubmed/26685018
13 Agnoli A, Xing G, Tancredi DJ, et al. Association of dose tapering with overdose or mental health crisis among patients prescribed long-term opioids. JAMA 2021; 326: 411–9. doi:10.1001/jama.2021.11013 http://www.ncbi.nlm.nih.gov/pubmed/34342618
14 Glanz JM, Binswanger IA, Shetterly SM, et al. Association between opioid dose variability and opioid overdose among adults prescribed long-term opioid therapy. JAMA Netw Open 2019; 2: e192613–e13. doi:10.1001/jamanetworkopen.2019.2613 http://www.ncbi.nlm.nih.gov/pubmed/31002325
15 DiPrete BL, Ranapurwala SI, Maierhofer CN, et al. Association of opioid dose reduction with opioid overdose and opioid use disorder among patients receiving high-dose, long-term opioid therapy in North Carolina. JAMA Netw Open 2022; 5: e229191–e91. doi:10.1001/jamanetworkopen.2022.9191 http://www.ncbi.nlm.nih.gov/pubmed/35476064
16 Boehnke KF, Gangopadhyay S, Clauw DJ, et al. Qualifying conditions of medical cannabis license holders in the United States. Health Aff 2019; 38: 295–302. doi:10.1377/hlthaff.2018.05266 http://www.ncbi.nlm.nih.gov/pubmed/30715980
17 Io M, Marijuana. Medicine: assessing the science base. Washington D.C: The National Academies Press, 1999.
18 Mücke M, Phillips T, Radbruch L, et al. Cannabis-Based medicines for chronic neuropathic pain in adults. Cochrane Database Syst Rev 2018; 3: Cd012182. doi:10.1002/14651858.CD012182.pub2 http://www.ncbi.nlm.nih.gov/pubmed/29513392
19 Kansagara D, O’Neil M, Nugent S. Benefits and harms of cannabis in chronic pain or post-traumatic stress disorder: a systematic review. Washington (DC: Department of Veterans Affairs, 2017.
20 Gilman JM, Schuster RM, Potter KW, et al. Effect of medical marijuana card ownership on pain, insomnia, and affective disorder symptoms in adults: a randomized clinical trial. JAMA Netw Open 2022; 5: e222106–e06. doi:10.1001/jamanetworkopen.2022.2106 http://www.ncbi.nlm.nih.gov/pubmed/35302633
21 The Health Effects of Cannabis and Cannabinoids. The current state of evidence and recommendations for research. Washington, D.C: National Academies of Sciences, Engineering, and Medicine, 2017.
22 Bachhuber MA, Saloner B, Cunningham CO, et al. Medical cannabis laws and opioid analgesic overdose mortality in the United States, 1999-2010. JAMA Intern Med 2014; 174: 1668–73. doi:10.1001/jamainternmed.2014.4005 http://www.ncbi.nlm.nih.gov/pubmed/25154332
23 Shover CL, Davis CS, Gordon SC, et al. Association between medical cannabis laws and opioid overdose mortality has reversed over time. Proc Natl Acad Sci U S A 2019; 116: 12624–6. doi:10.1073/pnas.1903434116 http://www.ncbi.nlm.nih.gov/pubmed/31182592
24 Shover CL, Vest NA, Chen D, et al. Association of state policies allowing medical cannabis for opioid use disorder with dispensary marketing for this indication. JAMA Netw Open 2020; 3: e2010001–e01. doi:10.1001/jamanetworkopen.2020.10001 http://www.ncbi.nlm.nih.gov/pubmed/32662844
25 Okusanya BO, Asaolu IO, Ehiri JE, et al. Medical cannabis for the reduction of opioid dosage in the treatment of non-cancer chronic pain: a systematic review. Syst Rev 2020; 9: 167. doi:10.1186/s13643-020-01425-3 http://www.ncbi.nlm.nih.gov/pubmed/32723354
26 Sexton M, Cuttler C, Finnell JS, et al. A cross-sectional survey of medical cannabis users: patterns of use and perceived efficacy. Cannabis Cannabinoid Res 2016; 1: 131–8. doi:10.1089/can.2016.0007 http://www.ncbi.nlm.nih.gov/pubmed/28861489
27 Skelly AC, Chou R, Dettori JR. Noninvasive nonpharmacological treatment for chronic pain: a systematic review update. noninvasive nonpharmacological treatment for chronic pain: a systematic review update. Rockville MD: Agency for Healthcare Research and Quality (US), 2020.
28 Hooten WM. Chronic pain and mental health disorders: shared neural mechanisms, epidemiology, and treatment. Mayo Clin Proc 2016; 91: 955–70. doi:10.1016/j.mayocp.2016.04.029 http://www.ncbi.nlm.nih.gov/pubmed/27344405
29 Goesling J, Lin LA, Clauw DJ. Psychiatry and pain management: at the intersection of chronic pain and mental health. Curr Psychiatry Rep 2018; 20: 12. doi:10.1007/s11920-018-0872-4 http://www.ncbi.nlm.nih.gov/pubmed/29504088
30 Edlund MJ, Steffick D, Hudson T, et al. Risk factors for clinically recognized opioid abuse and dependence among Veterans using opioids for chronic non-cancer pain. Pain 2007; 129: 355–62. doi:10.1016/j.pain.2007.02.014 http://www.ncbi.nlm.nih.gov/pubmed/17449178
31 Seal KH, Shi Y, Cohen G, et al. Association of mental health disorders with prescription opioids and high-risk opioid use in US veterans of Iraq and Afghanistan. JAMA 2012; 307: 940–7. doi:10.1001/jama.2012.234 http://www.ncbi.nlm.nih.gov/pubmed/22396516
32 Merrill JO, Von Korff M, Banta-Green CJ, et al. Prescribed opioid difficulties, depression and opioid dose among chronic opioid therapy patients. Gen Hosp Psychiatry 2012; 34: 581–7. doi:10.1016/j.genhosppsych.2012.06.018 http://www.ncbi.nlm.nih.gov/pubmed/22959422
33 Sullivan MD, Edlund MJ, Zhang L, et al. Association between mental health disorders, problem drug use, and regular prescription opioid use. Arch Intern Med 2006; 166: 2087–93. doi:10.1001/archinte.166.19.2087 http://www.ncbi.nlm.nih.gov/pubmed/17060538
34 Sullivan MD, Turner JA, DiLodovico C, et al. Prescription opioid taper support for outpatients with chronic pain: a randomized controlled trial. J Pain 2017; 18: 308–18. doi:10.1016/j.jpain.2016.11.003 http://www.ncbi.nlm.nih.gov/pubmed/27908840
35 Burns JW, Nielson WR, Jensen MP, et al. Specific and general therapeutic mechanisms in cognitive behavioral treatment of chronic pain. J Consult Clin Psychol 2015; 83: 1–11. doi:10.1037/a0037208 http://www.ncbi.nlm.nih.gov/pubmed/24979313
36 Murphy JL, McKellar JD, Raffa SD. Cognitive behavioral therapy for chronic pain: therapist manual. Washington, D.C: U. S. Department of Veterans Affairs, 2015.
37 Krebs EE, Lorenz KA, Bair MJ, et al. Development and initial validation of the PEG, a three-item scale assessing pain intensity and interference. J Gen Intern Med 2009; 24: 733–8. doi:10.1007/s11606-009-0981-1 http://www.ncbi.nlm.nih.gov/pubmed/19418100
38 Hamilton CM, Strader LC, Pratt JG, et al. The PhenX toolkit: get the most from your measures. Am J Epidemiol 2011; 174: 253–60. doi:10.1093/aje/kwr193 http://www.ncbi.nlm.nih.gov/pubmed/21749974
39 Dworkin RH, Turk DC, Farrar JT, et al. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain 2005; 113: 9–19. doi:10.1016/j.pain.2004.09.012 http://www.ncbi.nlm.nih.gov/pubmed/15621359
40 Deyo RA, Dworkin SF, Amtmann D, et al. Report of the NIH Task force on research standards for chronic low back pain. J Pain 2014; 15: 569–85. doi:10.1016/j.jpain.2014.03.005 http://www.ncbi.nlm.nih.gov/pubmed/24787228
41 Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42: 377–81. doi:10.1016/j.jbi.2008.08.010 http://www.ncbi.nlm.nih.gov/pubmed/18929686
42 Harris PA, Taylor R, Minor BL, et al. The REDCap Consortium: building an international community of software platform partners. J Biomed Inform 2019; 95: 103208. doi:10.1016/j.jbi.2019.103208 http://www.ncbi.nlm.nih.gov/pubmed/31078660
43 LIANG K-YEE, ZEGER SL. Longitudinal data analysis using generalized linear models. Biometrika 1986; 73: 13–22.
44 Endicott J, Nee J, Harrison W, et al. Quality of life enjoyment and satisfaction questionnaire: a new measure. Psychopharmacol Bull 1993; 29: 321–6. http://www.ncbi.nlm.nih.gov/pubmed/8290681
45 Hays RD, Spritzer KL, Schalet BD, et al. PROMIS®-29 v2.0 profile physical and mental health summary scores. Qual Life Res 2018; 27: 1885–91. doi:10.1007/s11136-018-1842-3 http://www.ncbi.nlm.nih.gov/pubmed/29569016
46 Arlington VA. Diagnostic and statistical manual of mental disorders. 5th ed. Washington, DC London, England: American Psychiatric Association, 2013.
47 Butler SF, Budman SH, Fernandez KC, et al. Development and validation of the current opioid misuse measure. Pain 2007; 130: 144–56. doi:10.1016/j.pain.2007.01.014 http://www.ncbi.nlm.nih.gov/pubmed/17493754
48 Banta-Green CJ, Von Korff M, Sullivan MD, et al. The prescribed opioids difficulties scale: a patient-centered assessment of problems and concerns. Clin J Pain 2010; 26: 489–97. doi:10.1097/AJP.0b013e3181e103d9 http://www.ncbi.nlm.nih.gov/pubmed/20551723
49 Wesson DR, Ling W. The clinical opiate withdrawal scale (cows). J Psychoactive Drugs 2003; 35: 253–9. doi:10.1080/02791072.2003.10400007 http://www.ncbi.nlm.nih.gov/pubmed/12924748
50 Vernon MK, Reinders S, Mannix S, et al. Psychometric evaluation of the 10-item short opiate withdrawal Scale-Gossop (SOWS-Gossop) in patients undergoing opioid detoxification. Addict Behav 2016; 60: 109–16. doi:10.1016/j.addbeh.2016.03.028 http://www.ncbi.nlm.nih.gov/pubmed/27124502
51 Nicholas MK. The pain self-efficacy questionnaire: taking pain into account. Eur J Pain 2007; 11: 153–63. doi:10.1016/j.ejpain.2005.12.008 http://www.ncbi.nlm.nih.gov/pubmed/16446108
52 Darnall BD, Sturgeon JA, Cook KF, et al. Development and validation of a daily pain Catastrophizing scale. J Pain 2017; 18: 1139–49. doi:10.1016/j.jpain.2017.05.003 http://www.ncbi.nlm.nih.gov/pubmed/28528981
53 Simons JS, Gaher RM. The distress tolerance scale: development and validation of a self-report measure. Motiv Emot 2005; 29: 83–102. doi:10.1007/s11031-005-7955-3
54 Snaith RP, Hamilton M, Morley S, et al. A scale for the assessment of hedonic tone the Snaith-Hamilton Pleasure scale. Br J Psychiatry 1995; 167: 99–103. doi:10.1192/bjp.167.1.99 http://www.ncbi.nlm.nih.gov/pubmed/7551619
55 Kirby KN, Petry NM, Bickel WK. Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. J Exp Psychol Gen 1999; 128: 78–87. doi:10.1037/0096-3445.128.1.78 http://www.ncbi.nlm.nih.gov/pubmed/10100392
56 Peters E, Joseph S, Day S, et al. Measuring delusional ideation: the 21-item Peters et al. delusions inventory (PDI). Schizophr Bull 2004; 30: 1005–22. doi:10.1093/oxfordjournals.schbul.a007116 http://www.ncbi.nlm.nih.gov/pubmed/15954204
57 Trivedi MH, Wisniewski SR, Morris DW, et al. Concise health risk tracking scale: a brief self-report and clinician rating of suicidal risk. J Clin Psychiatry 2011; 72: 757–64. doi:10.4088/JCP.11m06837 http://www.ncbi.nlm.nih.gov/pubmed/21733476
58 Hesse M. The readiness ruler as a measure of readiness to change poly-drug use in drug abusers. Harm Reduct J 2006; 3: 3:3. doi:10.1186/1477-7517-3-3 http://www.ncbi.nlm.nih.gov/pubmed/16436208
59 Delis DC, Kramer J, Kaplan E, et al. CVLT3 California verbal learning test third edition: manual. Third ed. Bloomington, MN: NCS Pearson, 2017.
60 DPCP W. WAIS-IV technical and interpretive manual. San Antonio, Tex.: Pearson, 2008.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Introduction
Chronic, non-cancer pain impacts approximately 50 million adults in the USA (20%), approximately 25% of whom receive chronic prescription opioids for pain despite limited empirical efficacy data and strong dose-related risk for opioid use disorder and opioid overdose. Also despite lack of efficacy data, there are many reports of people using cannabis products to manage chronic pain and replace or reduce chronic opioids. Here we describe the protocol for a randomised trial of the effect of cannabis, when added to a behavioural pain management and prescription opioid taper support programme, on opioid utilisation, pain intensity and pain interference.
Methods
This is a pragmatic, single-blind, randomised, wait-list controlled trial that aims to enrol 250 adults taking prescription opioids at stable doses of ≥25 morphine milligram equivalents per day for chronic non-cancer pain who express interest in using cannabis to reduce their pain, their opioid dose or both. All participants will be offered a weekly, 24-session Prescription Opioid Taper Support group behavioural pain management intervention. Participants will be randomly assigned in 1:1 ratio to use cannabis products, primarily from commercial cannabis dispensaries or to abstain from cannabis use for 6 months. Coprimary outcomes are change in prescription monitoring programme-verified opioid dose and change in Pain, Enjoyment, General Activity scale scores. Secondary outcomes include quality of life, depression, anxiety, self-reported opioid dose and opioid and cannabis use disorder symptoms. All other outcomes will be exploratory. We will record adverse events.
Ethics and dissemination
This study has ethical approval by the Massachusetts General Brigham Institutional Review Board (#2021P000871). Results will be published in peer-reviewed journals and presented at national conferences.
Trial registration number
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details


1 Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
2 Department of Medicine, Cambridge Health Alliance, Somerville, Massachusetts, USA; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
3 Department of Anesthesiology, MaineHealth, Portland, Maine, USA
4 Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
5 Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, USA