Disposition of Comments Report
Background and Objectives for the Systematic Review
Binge eating disorder (BED) is characterized by recurrent episodes of binge eating and, subsequently, significant psychological distress (e.g., shame, guilt). Recently recognized by the American Psychiatric Association (APA) as a distinct eating disorder in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5),1 BED is considered a significant public health problem independently and for its impact on obesity and diabetes.2,3 The related problem, loss-of-control (LOC) eating, describes recurrent binge-like eating behavior in individuals who cannot meet full criteria for BED such as post-bariatric surgery patients and children. LOC eating has detrimental psychological and physical health effects,4-6 including significant distress and symptoms of depression,7 as well as excess weight gain in children and suboptimal weight loss and weight regain in post-bariatric patients. Table 1 lists the diagnostic criteria for BED (as defined in the current DSM-5 and earlier, in the DSM, Fourth Edition [DSM-IV]) and frequently-used definitions of LOC eating.
|Disorder or behavior||Criteria|
|Abbreviations: DSM = Diagnostic and Statistical Manual of Mental Disorders; LOC = loss of control|
|DSM-IV and DSM-5 Criteria for BED||
Applicable to DSM-5 only, BED severity is graded as follows:
No standardized definition exists for LOC eating; however, parameters commonly used to describe and quantify LOC eating include the following:
Epidemiology of BED and LOC Eating
In the United States, the prevalence of BED among adults is ~ 3.5 percent in women and ~ 2 percent in men8 based on DSM-IV criteria and may be slightly higher based on DSM-5 criteria.9,10 BED is more common (as high as 30 percent) among obese individuals11,12,13 and has been found to be more prevalent among Hispanic populations than among any other groups defined by race or ethnicity.14,15 BED is typically first diagnosed in young adulthood (early to mid-20s) and symptoms often endure well beyond midlife,16,17 with the general course of illness sometimes including crossover to and from other eating disorders such as bulimia nervosa (BN) and anorexia nervosa (AN).9,18,19 The prevalence of LOC eating in post-bariatric surgery patients and in children is unknown, but may be as high as 25 percent in post-bariatric surgery patients20,21 and 32 percent in children at risk for adult obesity.6
Current Challenges Regarding the Diagnosis of BED and LOC Eating
In the diagnosis of BED, the assessment of a patient eating an “objectively large amount of food” is not wholly quantitative; rather, it requires the clinician’s evaluation of the patient’s self-report and is, therefore, at risk for detection bias. Neither DSM-IV nor DSM-5 established a minimal age for a diagnosis of BED, resulting in clinicians and researchers inconsistently describing behavior in adolescents and children. Some consider BED criteria in diagnosing adolescents and others consider LOC eating criteria. The term LOC eating is more consistently used when focusing on preadolescents or younger children. In the post-bariatric setting, the definition of LOC eating may extend beyond food amount to food types and patterns of intake that are contraindicated after surgery, and a critical question is whether LOC eating reflects presurgical eating pathology or de novo eating pathology subsequent to the surgery. Furthermore, a consistently endorsed definition of LOC eating does not exist; thus, the assessment of LOC eating may lack standardization across studies focusing on children and post-bariatric surgery patients.
Current Treatment Options for BED
Current treatments for BED and LOC eating include psychological and behavioral interventions, pharmacological interventions, complementary and alternative medicine (CAM) interventions, and combination approaches. To date, the psychological/behavioral approaches studied most frequently include cognitive behavioral therapy (CBT),22-31 interpersonal psychotherapy (IPT),32-34 dialectical behavior therapy (DBT),35-37 and behavioral weight loss (BWL).
Pharmacological interventions include antidepressants (typically, selective serotonin reuptake inhibitors [SSRIs], but also norepinephrine reuptake inhibitors [NRIs], serotonin-norepinephrine reuptake inhibitors [SNRIs], and tricyclic antidepressants);38-48 anticonvulsants;49,50 gamma-aminobutyric acid (GABA) receptor agonists,51,52 and weight loss agents.53,54 Currently, however, none of these medications has a specific FDA-approved indication for BED.
There are relative advantages and disadvantages of currently available treatment options: pharmacological interventions may result in negative physical side effects. However, they are more easily accessible than psychological and behavioral interventions that require access to practitioners with specialized training in BED. Some studies55 suggest the choice of the best treatment for a particular patient may be related to various patient characteristics, such as level of comorbid psychopathology and level of obesity.
Existing Guidelines Regarding the Treatment of BED
The APA,56 the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom,57 the Task Force on Eating Disorders of the World Federation of Societies of Biological Psychiatry,58 and the American Dietetic Association (ADA; now the Academy of Nutrition and Dietetics)16 have issued treatment guidelines or recommendations for BED. Generally, there is strong support for the use of CBT and SSRIs; moderate support for IPT, DBT, topiramate, and imipramine. NICE guidelines indicate that medication monotherapy may be sufficient treatment for a subset of patients, and, across guidelines, there is agreement that the long-term effects of SSRIs are unknown. With a lower level of confidence, the APA also recommends zonisamide (an anticonvulsant medication), combination psychological and pharmacological approaches, non-weight-directed psychosocial approaches (i.e., “Health at Every Size”, mindful/intuitive eating, 12-step), and nutritional approaches consistent with the ADA’s endorsement of nutrition counseling by a registered dietitian to support health-centered behaviors rather than weight-centered dieting. Despite these similarities, there are some notable differences between organizations in their recommendations concerning how and when treatment is implemented. The APA recommends CBT incorporated into a team approach including psychiatrists, psychologists, dietitians, and social workers; the NICE guidelines recommend CBT-based self-help therapy followed, if necessary for non-responders, by CBT adapted specifically for BED then, if needed, alternatives such as IPT or DBT).
To improve the evidence base for treatment guidelines, further research is needed regarding the long-term efficacy of pharmacological interventions, efficacy of CAM treatments, treatment efficacy in diverse groups including ethnic minorities and children/adolescents, predictors of treatment response, harms and costs-benefit assessments of different treatments, treatment stepped-care models, and treatment efficacy in residential treatment settings, which have recently gained popularity in the U.S.
Current Challenges and Controversies Regarding the Treatment of BED
Many BED patients initially access treatment through a primary care physician who may be able to offer only a limited number of treatment options directly (usually just pharmacotherapy) or referral to psychologists, dietitians, and psychiatrists who also lack specific expertise in BED. It is largely unknown whether treatment protocols that are used in research studies and require clinically trained personnel with expertise in BED-specific interventions can be delivered effectively in more commonly available real-world settings. We will therefore carefully capture descriptions of treatment settings and separately highlight evidence from intervention studies implemented in more real world settings.
Commonly, along with achieving binge abstinence and reducing distress, weight reduction and improved metabolic health have been key outcomes in BED treatment studies and important treatment goals in clinical settings. Recently, however, some advocates, including the Health at Every Size (HAES) group (http://www.haescommunity.org/resources.php), have strongly endorsed removing weight-based outcomes in BED treatment while emphasizing greater body acceptance and intuitive eating. HAES maintains that weight-loss interventions are not only ineffective for treating BED but also detrimental because they contribute to the development and perpetuation of disordered eating behavior and psychopathology (binge eating, food and body preoccupation, yo-yo weight cycles, reduced self-esteem) as well as weight stigmatization and discrimination. Weight stigma awareness is also a central issue of another advocacy group, the Binge Eating Disorder Association (http://bedaonline.com/binge-eating-disorder-blog/#.Up9vItIwldw). In light of these stakeholder perspectives, we will not only collect data on traditional weigh-related outcomes but also seek to capture information about more non-tradition non-weight-focused body image and eating behavior outcomes and interventions.
Impact on Clinical Decisionmaking or Policymaking
Patients enter treatment for BED with varying levels of concern about body shape and weight and varying amounts of health care coverage. These factors have a strong influence on choice of first-line treatment, the formulation of the comprehensive treatment plan and ultimately, treatment outcome. Individuals with BED seeking bariatric surgery can be denied coverage for their surgery even though an evidence base of poorer outcomes from surgery in patients with BED does not exist.59 Recent federal legislation is making health insurance more accessible for previously uninsured or underinsured Americans and improving parity for mental health services, but the impact of these laws on access to treatment options for BED is yet to be determined. Children and adolescents with LOC eating are presenting for treatment and bariatric surgery in greater numbers, but no treatment guidelines are tailored to their circumstances. Also, increasingly, patients are entering treatment using over-the-counter products and dietary supplements with known or suspected effects on appetite, mood, and weight regulation; these scenarios pose additional challenges for providers evaluating treatment options. This report is intended to help inform future decision- and policymaking regarding treatment for BED and for LOC eating in bariatric surgery patients and in children. By doing so, it can potentially inform future development of clinical best practice guidelines for these patients.
Rationale for Evidence Review
Previous systematic reviews have addressed psychological treatments for BN and BED (2009),60 self-help and guided self-help for eating disorders (2006),61 and management of eating disorders, including BED (the AHRQ review, 2006).62 The 2006 AHRQ review of treatment for eating disorders was unable to draw definitive conclusions concerning the best treatment choices for BED because many of the available treatments had been evaluated in only single studies or too few studies of sufficient quality.62 Since that report, the literature on treatment of BED has expanded, the diagnostic criteria have changed, and a greater interest in BED and LOC eating in bariatric patients and children has emerged. These factors underscore the need for a new systematic review that captures the new information and presents it in a format that can bridge the old and new diagnostic criteria and improve understanding of BED and LOC eating across the lifespan as well as factors that influence their progression, maintenance, and resolution.
An updated review of RCTs, nonrandomized trials, and observational studies (combining results based on meta-analysis, when appropriate) is timely and needed to inform clinical decisionmaking. Knowing which factors might influence treatment (such as coexisting psychological and physical problems) should allow clinicians to modify or adapt a treatment plan according to an individual patient’s needs or preferences, raising the potential to maximize treatment benefits and avoid treatment harms.
Including bariatric surgery patients as a separate population in the review is timely and needed. We can thus address pressing questions about the relevance of BED as a negative prognostic indicator for bariatric surgery, the extent to which nonsurgical interventions (e.g., psychotherapy) for BED may be beneficial in reducing or preventing LOC eating after surgery, and the appropriate timing of these nonsurgical interventions (before or after surgery). The focus on LOC eating in children is also timely as it will inform the larger public health issue of childhood obesity.
Lastly, novel interventions (such as mindful/intuitive eating, body acceptance-focused therapy, CAM approaches and novel pharmacological agents) have emerged as more common treatment options since the previous EPC systematic review, and they are not reflected in the evidence base reviewed for current treatment guidelines; therefore, their inclusion in this review will be an important contribution to the field.
In sum, this report will be a significant source of much-needed information and guidance for improving clinical decisionmaking by identifying treatment approaches for BED and LOC eating that are most strongly supported by the evidence base.
As listed below, the review will address 15 Key Questions (KQs) that were posted for public comment. These KQs reflect input received from the public. Specifically, sexual orientation was added as a characteristic of interest in relation to course of illness in adult populations (KQs 5 and 10). It is unknown whether sexual orientation influences treatment seeking and, thus, course of illness. Sexual orientation may be relevant for studies of adults with BED or LOC eating but less relevant for children with LOC given that sexual orientation is often not yet established in this age group.
- What is the evidence for the effectiveness of treatments or combinations of treatments for binge eating disorder?
- What is the evidence for harms associated with treatments for binge eating disorder?
- Does the effectiveness of treatments for binge eating disorder differ by age, sex, race, ethnicity, initial body mass index, duration of illness, or coexisting conditions?
- What is the course of illness of binge eating disorder?
- Does the course of illness of binge eating disorder differ by age, sex, race, ethnicity, sexual orientation, body mass index, duration of illness, or coexisting conditions?
- What is the evidence for the effectiveness of treatments or combinations of treatments for loss-of-control eating among bariatric surgery patients?
- What is the evidence for harms associated with treatments for loss-of-control eating among bariatric surgery patients?
- Does the effectiveness of treatments for loss-of-control eating among bariatric surgery patients differ by age, sex, race, ethnicity, initial body mass index, duration of illness, or coexisting conditions?
- What is the course of illness of loss-of-control eating among bariatric surgery patients?
- Does the course of illness of loss-of-control eating among bariatric surgery patients differ by age, sex, race, ethnicity, sexual orientation, initial body mass index, duration of illness, or coexisting conditions?
- What is the evidence for the effectiveness of treatments or combinations of treatments for loss-of-control eating among children?
- What is the evidence for harms associated with treatments for loss-of-control eating among children?
- Does the effectiveness of treatments for loss-of-control eating among children differ by age, sex, race, ethnicity, initial body mass index, duration of illness, or coexisting conditions?
- What is the course of illness of loss-of-control eating among children?
- Does the course of illness of loss-of-control eating among children differ by age, sex, race, ethnicity, initial body mass index, duration of illness, or coexisting conditions?
- Individuals meeting either DSM-IV or DSM-5 criteria for binge eating disorder (BED)
- Post-bariatric surgery patients meeting criteria for loss-of-control (LOC) eating after surgery1
- Children (6 years of age and older) meeting criteria for LOC eating2
Applies only to KQs on effectiveness and harms of BED treatment in adults (KQs 1, 2, and 3), LOC treatment in bariatric patients (KQs 6, 7, and 8), and LOC treatment in children (KQs 11, 12, and 13).
- Pharmacological interventions
- Antidepressants, including: 1) selective serotonin reuptake inhibitors (SSRIs); 2) serotonin-norepinephrine reuptake inhibitors (SNRIs, excluding sibutramine because it is unavailable in the United States); 3) norepinephrine reuptake inhibitors (NRIs); and 4) tricyclic antidepressants
- Anticonvulsants (antiepileptics)
- Weight loss drugs (orlistat)
- Appetite suppressants (excluding rimonabant because it is unavailable in the United States)
- Gamma-aminobutyric acid agonists
- Mixed gamma-aminobutyric acid agonist/glutamate antagonists
- Central nervous system stimulants
- Psychological or behavioral interventions
- Cognitive behavioral therapy (CBT)
- Interpersonal psychotherapy (IPT)
- Dialectical behavior therapy (DBT)
- Family-based therapy (for LOC eating in children and adolescents)
- Parent training (for LOC eating in children and adolescents)
- Behavioral weight loss interventions
- Virtual reality therapy
- Nutritional counseling or low-calorie diet (or both)
- Health education
- Complementary and alternative medicine (CAM) interventions
- Nutraceuticals and dietary supplements
- Combinations of pharmacotherapies; combinations of psychological interventions; combinations of CAM interventions; combinations of pharmacotherapy, psychological, behavioral, and/or CAM interventions
- Characteristics of interventions
- Pharmacotherapy and CAM: dosages, duration of treatment
- Psychological or behavioral: format (e.g., individual or group, therapist-led or self-help), frequency, duration of treatment
Applies only to KQs on effectiveness and harms of BED treatment in adults (KQs 1, 2, and 3), LOC treatment in bariatric patients (KQs 6, 7, and 8), and LOC treatment in children (KQs 11, 12, and 13).
- Placebo or usual care
- Any active intervention or combination of active interventions from among those listed above
- Intermediate outcomes
- Change in weight or body mass index (BMI) (or both)
- Appetite-regulating peptide hormones
- Blood lipids (cholesterol, triglycerides)
- Blood glucose, hemoglobin A1c
- Blood pressure
- Final health outcomes
- Binge eating: frequency of binge episodes, frequency of binge days, binge abstinence
- LOC eating: frequency of LOC eating episodes, LOC eating abstinence
- Shape and weight concerns, restraint, hunger, disinhibition
- Depressive disorders and symptoms
- Substance abuse
- Physical health and functioning
- BMI, weight status or stabilization
- Type 2 diabetes, impaired glucose tolerance, insulin resistance
- Heart disease
- Gastric reflux (gastroesophageal reflux disorder), gastroparesis, other gastrointestinal diagnoses or problems
- Irritable bowel syndrome
- Menstrual problems (female), hormonal problems (male or female)
- Reproductive function
- Social and occupational functioning
- Work or school days lost
- Marital or partner status
- Quality of life: health-related quality of life or patient-reported outcomes not otherwise listed above
- Harms: Applies only to harms of treatment (KQs 2, 7, and 12)
- Pharmacotherapy and CAM: sedation, dry mouth, headache, nausea, insomnia, diarrhea, fatigue, increased urinary frequency, sexual dysfunction, abnormal dreams, sweating, palpitations, arrhythmia, cramping, diffuse pain, weight gain
- Psychological or behavioral therapy: negative effects of disclosing symptoms during initial evaluation or therapy
- Worsening of BED or LOC eating (or associated symptoms)
- Health care use and costs
- Use of health care services: emergency room visits, hospitalizations (psychiatric hospitals, residential institutions, general hospitals), ambulatory physician visits (medical care, psychiatric care), ambulatory visits to other health care professionals (e.g., clinical psychologists), nutritional counseling
- Costs of services: emergency room visits, hospitalizations (psychiatric hospitals, residential institutions, general hospitals), ambulatory physician visits (medical care, psychiatric care), ambulatory visits to other health care professionals, pharmacotherapies, and treatment costs for any harms
- Treatment studies: no minimum duration
- Course of illness studies: 1-year minimum followup
- Inpatient, including hospitals and residential treatment centers
- Outpatient, including schools and homes
1 Bariatric surgery patients may have had either BED or LOC eating diagnoses before surgery, but after surgery they are typically diagnosed only with LOC eating (i.e., loss-of-control eating behaviors without having consumed an unusually large amount of food).
2 Children, especially those who are preadolescent, tend to be diagnosed only with LOC eating, not BED, in part because parents or others may limit the quantity of food they are permitted to consume.
The relationship between the patient population, interventions, comparators, outcomes and timing of outcomes assessment (PICOTs) is depicted for each of the treatment KQs (Figure 1) and each of the course of illness KQs (Figure 2).
Figure 1. Analytic framework for binge eating disorder and loss-of-control eating: Effectiveness and harms of interventions
Figure 2. Analytic framework for binge eating disorder and loss-of-control eating: Course of illness (outcomes of the disorders)
Criteria for Inclusion/Exclusion of Studies in the Review
We specified our inclusion and exclusion criteria based on the populations, interventions, comparators (control intervention), outcomes, timing, and settings identified through the topic refinement exercise (Table 2). Our exclusion of non–English-language studies is based on limitations of time and resources. However, we will examine English language abstracts of non-English language studies to assess the potential size of the literature that would be missed through this approach. In relation to treatment studies, we will exclude study designs without control (or comparison) groups to ensure that our pool of included studies can inform the causal link between the intervention and outcomes. An important consideration in the evaluation of non-RCT studies of treatment or course of illness will concern adequate adjustment for prognostic factors. Because LOC eating has no agreed-upon definition, we will include studies of individuals with LOC eating based on the diagnostic criteria specified by each study author.
|Category||Inclusion Criteria||Exclusion Criteria|
|Abbreviations: AN = anorexia nervosa; BED = binge eating disorder; BN = bulimia nervosa; CAM = complementary and alternative medicine; DSM = Diagnostic Statistical Manual; LOC = loss of control; PICOTS = populations, interventions, comparators, outcomes, timing, and setting; RCT = randomized controlled trial|
|Population||Individuals of all races, ethnicities, and cultural groups in one of three subpopulations: (1) meeting DSM-IV or DSM-5 criteria for BED; or (2) postbariatric surgery patients with LOC eating; or (3) children with LOC eating. Because LOC eating has no commonly accepted definition, studies included in the review may define LOC eating using different diagnostic criteria.||
|Date of search||Searches will go back until 1980; searches will be updated after the draft report goes out for peer review||None|
|Study duration||No limit||None|
|Settings||No limit; for treatment studies includes inpatient, outpatient, or home-based treatment settings for treatments such as self-help; course-of-illness studies include these setting and also community-based observation||None|
|Interventions||Pharmacological, behavioral, psychological, or CAM treatments or combinations as described in the PICOTS criteria||Pharmacological interventions not marketed in the U.S.|
|Control interventions||Any active intervention described in the PICOTS criteria, placebo, or usual care||Pharmacological interventions not marketed in the U.S.|
|Outcomes||As described in the PICOTS criteria, intermediate and final health outcomes, treatment harms, and costs (e.g., health care cost and use, lost work days). Intermediate health outcomes will include biomarkers that can be linked directly to final physical health outcomes, such that an accumulation or worsening over time in that biomarker would result in the final health outcome.||Studies that do not include at least one of the outcomes listed in the PICOTS criteria.|
|Timing of outcome measurement||
|Publication language||English||All other languages|
Eligible study designs include:
|Publication type||Any publication reporting primary data||Publications not reporting primary data|
Searching for the Evidence: Literature Search Strategies for Identification of Relevant Studies to Answer the Key Questions
We will systematically search, review, and analyze the scientific evidence for each KQ. We will take the following steps to perform the literature search. To identify articles relevant to each KQ, we will begin with a focused MEDLINE® search for eligible interventions using a combination of medical subject headings (MeSH®) and title and abstract keywords, limiting the search to human-only studies. We will also search the Cochrane Library, the International Pharmaceutical Abstracts database, EMBASE, AMED (Allied and Complementary Medicine Database), Academic First Search, PsycINFO, and CINAHL using analogous search terms. These searches will include RCTs and nonrandomized studies. We selected these databases based on preliminary searches and consultation with content experts. The search period will go back to 1980. We will conduct quality checks to ensure that the search identifies known studies (i.e., studies identified during topic nomination and refinement). If we do not identify the known studies, we will revise and rerun our searches.
In addition, we will search the “gray literature” for unpublished studies relevant to this review and will include studies that meet all the inclusion criteria and contain enough methodological information to assess risk of bias. Potential sources of gray literature include ClinicalTrials.gov, the World Health Organization’s International Clinical Trials Registry Platform, Health Services Research Projects in Progress, the National Institutes of Health Research Portfolio Online Reporting Tools, the Database of Promoting Health Effectiveness Reviews, the New York Academy of Medicine Grey Literature Report, and CMS.gov. The Scientific Resource Center of the Agency for Healthcare Research and Quality (AHRQ) will manage the process of submitting requests for scientific information packets, which contain information about drugs, CAM interventions, or psychological interventions.
To avoid retrieval bias, we will manually search the reference lists of landmark studies and background articles on this topic to look for any relevant citations that our electronic searches might have missed.
We will also conduct an updated literature search (of the same databases searched initially) concurrent with the peer review process. We will investigate any literature the TEP, peer reviewers or the public suggest and, if appropriate, will incorporate additional studies into the final review. The appropriateness of those studies will be determined using the methods described above.
We will include pooled estimates of effect or other relevant results from systematic reviews that meet our inclusion/exclusion criteria. We will evaluate the quality of included systematic reviews using the AMSTAR tool.63 As appropriate, we may update the results of these reviews quantitatively or qualitatively. Should identified reviews use inclusion/exclusion criteria that differ from ours, we will review their reference lists to ensure that we include all relevant studies.
Data Abstraction and Data Management
Two trained research team members will independently review all titles and abstracts identified through searches for eligibility against our inclusion/exclusion criteria. Studies marked for possible inclusion by either reviewer will undergo a full-text review. For studies without adequate information to determine inclusion or exclusion, we will retrieve the full text and then make the determination. We will track all results in an EndNote® bibliographic database (Thomson Reuters, New York, NY).
We will retrieve and review the full text of all titles included during the title/abstract review phase. Two trained team members will independently review each full-text article for inclusion or exclusion based on the eligibility criteria described above. If both reviewers agree that a study does not meet the eligibility criteria, we will exclude the study. If the reviewers disagree, conflicts will be resolved by discussion and consensus or by consulting a third member of the review team. As described above, all results will be tracked in an EndNote database. We will record the reason that each excluded full-text publication did not satisfy the eligibility criteria so that we can later compile a comprehensive list of such studies.
For studies that meet our inclusion criteria, we will abstract important information into evidence tables. We will design data abstraction forms to gather pertinent information from each article, including characteristics of study populations, settings, interventions, comparators, study designs, methods, and results. The forms will be compatible with criteria for inclusion in AHRQ’s Systematic Review Data Repository. Trained reviewers will extract the relevant data from each included article into the evidence tables. A second member of the team will review all data abstractions for completeness and accuracy.
Assessment of Methodological Risk of Bias of Individual Studies
To assess the risk of bias (internal validity) of studies, we will use predefined design-specific criteria based on guidance provided by AHRQ.64 We will evaluate the risk of bias of RCTs using A Cochrane Risk of Bias Assessment Tool (ACROBAT) designed for RCTs.65 For non-RCTs, we will use a tool developed by Viswanathan et al.66 modified by an ACROBAT-NRS tool this is currently under development.
In general terms, results of a study with low risk of bias are considered to be valid. A study with medium risk of bias is susceptible to some bias but probably not sufficient to invalidate its results. A study with high risk of bias has significant methodological flaws (i.e., stemming from serious errors in design or analysis) that may invalidate its results. We will consider the risk of bias for each relevant outcome of a study.
Two independent reviewers will assess the risk of bias for each study. Disagreements between the two reviewers will be resolved by discussion and consensus or by consulting a third member of the team. We will rate studies that meet all criteria as having “low risk of bias.” “Medium risk of bias” ratings will be given to studies where raters have some confidence that the results represent the true treatment effect; that is, although the study is susceptible to some bias, the problems are not considered sufficient to invalidate the results (i.e., no flaw is likely to cause major bias).We will give a “high risk of bias” rating to studies that have a fatal flaw (defined as a methodological shortcoming that leads to a very high risk of bias) in one or more categories.
For bodies of evidence that include non-RCTs we will synthesize the data qualitatively. If we find three or more similar RCTs for a comparison of interest, we will consider quantitative analysis (i.e., meta-analysis) of the data from those studies. We will also consider conducting mixed treatment comparisons meta-analysis using Bayesian methods to compare interventions with one another if we identify a sufficient number of studies with a common comparator (e.g., placebo). For all analyses, we will use random-effects models to estimate pooled or comparative effects.
To determine whether quantitative analyses are appropriate, we will assess the clinical and methodological heterogeneity of the studies under consideration following established guidance.67 We will do this by qualitatively assessing the PICOTS of the included studies, looking for similarities and differences.
If we conduct quantitative syntheses (i.e., meta-analysis), we will assess statistical heterogeneity in effects between studies by calculating the chi-squared statistic and the I2 statistic (the proportion of variation in study estimates attributable to heterogeneity). The importance of the observed value of I2 depends on the magnitude and direction of effects and on the strength of evidence for heterogeneity (e.g., p-value from the chi-squared test, or a confidence interval for I2). If we include any meta-analyses with considerable statistical heterogeneity in this report, we will provide an explanation for doing so, considering the magnitude and direction of effects. We will also examine potential sources of heterogeneity using sensitivity analysis or analysis of subgroups. We plan to stratify analyses and/or perform subgroup analyses when possible and appropriate to examine clinical heterogeneity.
For any quantitative analyses, we will conduct sensitivity analyses, including high-risk-of-bias studies. The weight that we will give to high-risk-of-bias studies will be based on the perceived potential bias in the results from each of these studies. Planned stratifications or categories for subgroup analyses include the subgroups listed in the analytic framework and geographic location of studies. When quantitative analyses are not appropriate (e.g., because of heterogeneity, insufficient numbers of similar studies, insufficiency or variation in outcome reporting), we will synthesize the data qualitatively.
Grading the Strength of Evidence for Individual Comparisons and Outcomes
We will grade the strength of evidence based on the updated guidance established for the Evidence-based Practice Center (EPC) program.68 Developed to grade the overall strength of a body of evidence, this approach incorporates five key domains: study limitations (includes study design and aggregate risk of bias), consistency, directness, precision of the evidence, and reporting bias. It also considers other optional domains that may be relevant for some scenarios, such as a dose-response association, plausible confounding that would decrease the observed effect, and strength of association (magnitude of effect).
Grades reflect the strength of the body of evidence to answer KQs included in this review (see Table 3). Two reviewers will assess each domain for each key outcome, and differences will be resolved by consensus. Senior members of the review team (including at least one subject matter expert and one methodologist) will grade the strength of evidence for the outcomes deemed to be of greatest importance to decisionmakers and those most commonly reported in the literature.
|High||We are very confident that the estimate of effect lies close to the true effect for this outcome. The body of evidence has few or no deficiencies. We believe that the findings are stable (i.e., another study would not change the conclusions).|
|Moderate||We are moderately confident that the estimate of effect lies close to the true effect for this outcome. The body of evidence has some deficiencies. We believe that the findings are likely to be stable, but some doubt remains.|
|Low||We have limited confidence that the estimate of effect lies close to the true effect for this outcome. The body of evidence has major or numerous deficiencies (or both). We believe that additional evidence is needed before concluding either that the findings are stable or that the estimate of effect is close to the true effect.|
|Insufficient||We have no evidence, we are unable to estimate an effect, or we have no confidence in the estimate of effect for this outcome. No evidence is available or the body of evidence has unacceptable deficiencies, precluding reaching a conclusion|
We will assess applicability of the evidence following guidance from the Methods Guide for Effectiveness and Comparative Effectiveness Reviews.69 We will use the PICOTS framework to explore factors that affect applicability. Some factors identified a priori that may limit the applicability of evidence include the following: age of enrolled populations, sex of enrolled populations (e.g., fewer men may be enrolled in the studies), and race or ethnicity of enrolled populations.
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed., Arlington, VA: American Psychiatric Publishing; 2013.
- Hudson JI, Lalonde JK, Coit CE, et al. Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder. Am J Clin Nutr. 2010 Jun;91(6):1568-73. PMID: 20427731.
- Blomquist KK, Milsom VA, Barnes RD, et al. Metabolic syndrome in obese men and women with binge eating disorder: developmental trajectories of eating and weight-related behaviors. Compr Psychiatry. 2012 Oct;53(7):1021-7. Epub: 2012/04/10. PMID: 22483368.
- Lang T, Hauser R, Buddeberg C, et al. Impact of gastric banding on eating behavior and weight. Obes Surg. 2002 Feb;12(1):100-7. Epub: 2002/03/01. PMID: 11868284.
- Larsen JK, van Ramshorst B, Geenen R, et al. Binge eating and its relationship to outcome after laparoscopic adjustable gastric banding. Obes Surg. 2004 Sep;14(8):1111-7. Epub: 2004/10/14. PMID: 15479602.
- Tanofsky-Kraff M, Yanovski SZ, Schvey NA, et al. A prospective study of loss of control eating for body weight gain in children at high risk for adult obesity. Int J Eat Disord. 2009 Jan;42(1):26-30. Epub: 2008/08/23. PMID: 18720473.
- Tanofsky-Kraff M, Shomaker LB, Olsen C, et al. A prospective study of pediatric loss of control eating and psychological outcomes. J Abnorm Psychol. 2011 Feb;120(1):108-18. Epub: 2010/12/01. PMID: 21114355.
- Hudson JI, Hiripi E, Pope HG, Jr., et al. The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biol Psychiatry. 2007 Jun 30;61:348-58. PMID: 16815322.
- Stice E, Marti CN, Rohde P. Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J Abnorm Psychol. 2013 May;122(2):445-57. Epub: 2012/11/15. PMID: 23148784.
- Trace SE, Thornton LM, Root TL, et al. Effects of reducing the frequency and duration criteria for binge eating on lifetime prevalence of bulimia nervosa and binge eating disorder: implications for DSM-5. Int J Eat Disord. 2012 May;45(4):531-6. Epub: 2011/09/02. PMID: 21882218.
- Bruce B, Agras WS. Binge eating in females: a population-based investigation. Int J Eat Disord. 1992 Dec;12(4):365-73.
- Bruce B, Wilfley D. Binge eating among the overweight population: a serious and prevalent problem. J Am Diet Assoc. 1996 Jan;96(1):58-61. Epub: 1996/01/01. PMID: 8537571.
- Spitzer RL, Yanovski S, Wadden T, et al. Binge eating disorder: its further validation in a multisite study. Int J Eat Disord. 1993 Mar;13(2):137-53. Epub: 1993/03/01. PMID: 8477283.
- Alegria M, Woo M, Cao Z, et al. Prevalence and correlates of eating disorders in Latinos in the United States. Int J Eat Disord. 2007 Nov;40 Suppl:S15-21. Epub: 2007/06/23. PMID: 17584870.
- Agrawal A, Hinrichs AL, Dunn G, et al. Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample. Drug Alcohol Depend. 2008 Jan 11;93(1-2):12-20. Epub: 2007/10/19. PMID: 17942244.
- Ozier AD, Henry BW, American Dietetic Association. Position of the American Dietetic Association: nutrition intervention in the treatment of eating disorders. J Am Diet Assoc. 2011 Aug;111(8):1236-41. Epub: 2011/08/02. PMID: 21802573.
- Gagne DA, Von Holle A, Brownley KA, et al. Eating disorder symptoms and weight and shape concerns in a large web-based convenience sample of women ages 50 and above: results of the Gender and Body Image (GABI) study. Int J Eat Disord. 2012 Nov;45(7):832-44. Epub: 2012/06/26. PMID: 22729743.
- Allen KL, Byrne SM, Oddy WH, et al. DSM-IV-TR and DSM-5 eating disorders in adolescents: prevalence, stability, and psychosocial correlates in a population-based sample of male and female adolescents. J Abnorm Psychol. 2013 Aug;122(3):720-32. Epub: 2013/09/11. PMID: 24016012.
- Ackard DM, Fulkerson JA, Neumark-Sztainer D. Stability of eating disorder diagnostic classifications in adolescents: five-year longitudinal findings from a population-based study. Eat Disord. 2011 Jul-Aug;19(4):308-22. Epub: 2012/02/23. PMID: 22352971.
- Colles SL, Dixon JB, O'Brien PE. Grazing and loss of control related to eating: two high-risk factors following bariatric surgery. Obesity (Silver Spring). 2008 Mar;16(3):615-22. Epub: 2008/02/02. PMID: 18239603.
- de Zwaan M, Hilbert A, Swan-Kremeier L, et al. Comprehensive interview assessment of eating behavior 18-35 months after gastric bypass surgery for morbid obesity. Surg Obes Relat Dis. 2010 Jan-Feb;6(1):79-85. Epub: 2009/10/20. PMID: 19837012.
- Peterson CB, Mitchell JE, Crow SJ, et al. The efficacy of self-help group treatment and therapist-led group treatment for binge eating disorder. Am J Psychiatry. 2009 Dec;166(12):1347-54. Epub: 2009/11/04. PMID: 19884223.
- Peterson CB, Mitchell JE, Engbloom S, et al. Group cognitive-behavioral treatment of binge eating disorder: a comparison of therapist-led versus self-help formats. Int J Eat Disord. 1998 Sep;24(2):125-36. Epub: 1998/08/11. PMID: 9697011.
- Peterson CB, Mitchell JE, Engbloom S, et al. Self-help versus therapist-led group cognitive-behavioral treatment of binge eating disorder at follow-up. Int J Eat Disord. 2001 Dec;30(4):363-74. Epub: 2001/12/18. PMID: 11746298.
- Grilo CM, Masheb RM. A randomized controlled comparison of guided self-help cognitive behavioral therapy and behavioral weight loss for binge eating disorder. Behav Res Ther. 2005 Nov;43(11):1509-25. Epub: 2005/09/15. PMID: 16159592.
- Grilo CM, Masheb RM, Wilson GT, et al. Cognitive-behavioral therapy, behavioral weight loss, and sequential treatment for obese patients with binge-eating disorder: a randomized controlled trial. J Consult Clin Psychol. 2011 Oct;79(5):675-85. Epub: 2011/08/24. PMID: 21859185.
- Masheb RM, Grilo CM, Rolls BJ. A randomized controlled trial for obesity and binge eating disorder: low-energy-density dietary counseling and cognitive-behavioral therapy. Behav Res Ther. 2011 Dec;49(12):821-9. Epub: 2011/10/19. PMID: 22005587.
- Carter JC, Fairburn CG. Cognitive-behavioral self-help for binge eating disorder: a controlled effectiveness study. J Consult Clin Psychol. 1998 Aug;66(4):616-23. Epub: 1998/09/15. PMID: 9735577.
- Schlup B, Munsch S, Meyer AH, et al. The efficacy of a short version of a cognitive-behavioral treatment followed by booster sessions for binge eating disorder. Behav Res Ther. 2009 Jul;47(7):628-35. Epub: 2009/05/19. PMID: 19446793.
- Shapiro JR, Reba-Harrelson L, Dymek-Valentine M, et al. Feasibility and acceptability of CD-ROM-based cognitive-behavioural treatment for binge-eating disorder. Eur Eat Disord Rev. 2007 May;15(3):175-84. Epub: 2007/08/07. PMID: 17676687.
- Carrard I, Crepin C, Rouget P, et al. Randomised controlled trial of a guided self-help treatment on the Internet for binge eating disorder. Behav Res Ther. 2011 Aug;49(8):482-91. Epub: 2011/06/07. PMID: 21641580.
- Wilfley DE, Welch RR, Stein RI, et al. A randomized comparison of group cognitive-behavioral therapy and group interpersonal psychotherapy for the treatment of overweight individuals with binge-eating disorder. Arch Gen Psychiatry. 2002 Aug;59(8):713-21. Epub: 2002/08/02. PMID: 12150647.
- Hilbert A, Saelens BE, Stein RI, et al. Pretreatment and process predictors of outcome in interpersonal and cognitive behavioral psychotherapy for binge eating disorder. J Consult Clin Psychol. 2007 Aug;75(4):645-51. Epub: 2007/08/01. PMID: 17663618.
- Tasca GA, Mikai SF, Hewitt PL. Group psychodynamic interpersonal psychotherapy: summary of a treatment model and outcomes for depressive symptoms. In: Abelian ME, ed. In: Focus on Psychotherapy Research. Hauppauge, NY: Nova Science; 2005:159-88.
- Safer DL, Telch C, Chen EY. Dialectical Behavior Therapy for Binge Eating and Bulimia. New York: Guilford Press; 2009.
- Safer DL, Robinson AH, Jo B. Outcome from a randomized controlled trial of group therapy for binge eating disorder: comparing dialectical behavior therapy adapted for binge eating to an active comparison group therapy. Behav Ther. 2010 Mar;41(1):106-20. Epub: 2010/02/23. PMID: 20171332.
- Telch CF, Agras WS, Linehan MM. Dialectical behavior therapy for binge eating disorder. J Consult Clin Psychol. 2001 Dec;69(6):1061-5. Epub: 2002/01/05. PMID: 11777110.
- Arnold LM, McElroy SL, Hudson JI, et al. A placebo-controlled, randomized trial of fluoxetine in the treatment of binge-eating disorder. J Clin Psychiatry. 2002 Nov;63(11):1028-33. Epub: 2002/11/26. PMID: 12444817.
- McElroy SL, Casuto LS, Nelson EB, et al. Placebo-controlled trial of sertraline in the treatment of binge eating disorder. Am J Psychiatry. 2000 Jun;157(6):1004-6. Epub: 2000/06/01. PMID: 10831483.
- McElroy SL, Hudson JI, Malhotra S, et al. Citalopram in the treatment of binge-eating disorder: A placebo-controlled trial. J Clin Psychiatry. 2003;64(7):807-13.
- Pearlstein T, Spurell E, Hohlstein LA, et al. A double-blind, placebo-controlled trial of fluvoxamine in binge eating disorder: a high placebo response. Arch Womens Ment Health. 2003 Apr;6(2):147-51. Epub: 2003/04/30. PMID: 12720065.
- Hudson JI, McElroy SL, Raymond NC, et al. Fluvoxamine in the treatment of binge-eating disorder: a multicenter placebo-controlled, double-blind trial. Am J Psychiatry. 1998 Dec;155(12):1756-62. Epub: 1998/12/08. PMID: 9842788.
- Ricca V, Mannucci E, Mezzani B, et al. Fluoxetine and fluvoxamine combined with individual cognitive-behaviour therapy in binge eating disorder: a one-year follow-up study. Psychother Psychosom. 2001 Nov-Dec;70(6):298-306. Epub: 2001/10/13. PMID: 11598429.
- Leombruni P, Piero A, Lavagnino L, et al. A randomized, double-blind trial comparing sertraline and fluoxetine 6-month treatment in obese patients with Binge Eating Disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2008 Aug 1;32(6):1599-605. Epub: 2008/07/05. PMID: 18598735.
- Laederach-Hofmann K, Graf C, Horber F, et al. Imipramine and diet counseling with psychological support in the treatment of obese binge eaters: a randomized, placebo-controlled double-blind study. Int J Eat Disord. 1999 Nov;26(3):231-44. Epub: 1999/08/11. PMID: 10441239.
- Guerdjikova AI, McElroy SL, Winstanley EL, et al. Duloxetine in the treatment of binge eating disorder with depressive disorders: a placebo-controlled trial. Int J Eat Disord. 2012 Mar;45(2):281-9. Epub: 2011/07/12. PMID: 21744377.
- McElroy SL, Guerdjikova A, Kotwal R, et al. Atomoxetine in the treatment of binge-eating disorder: a randomized placebo-controlled trial. J Clin Psychiatry. 2007 Mar;68(3):390-8. Epub: 2007/03/29. PMID: 17388708.
- Guerdjikova AI, McElroy SL, Kotwal R, et al. High-dose escitalopram in the treatment of binge-eating disorder with obesity: a placebo-controlled monotherapy trial. Hum Psychopharmacol. 2008 Jan;23(1):1-11. Epub: 2007/12/07. PMID: 18058852.
- McElroy SL, Arnold LM, Shapira NA, et al. Topiramate in the treatment of binge eating disorder associated with obesity: a randomized, placebo-controlled trial. Am J Psychiatry. 2003 Feb;160(2):255-61. Epub: 2003/02/04. PMID: 12562571.
- McElroy SL, Frye MA, Altshuler LL, et al. A 24-week, randomized, controlled trial of adjunctive sibutramine versus topiramate in the treatment of weight gain in overweight or obese patients with bipolar disorders. Bipolar Disord. 2007 Jun;9(4):426-34. Epub: 2007/06/06. PMID: 17547588.
- McElroy SL, Guerdjikova AI, Winstanley EL, et al. Acamprosate in the treatment of binge eating disorder: a placebo-controlled trial. Int J Eat Disord. 2011 Jan;44(1):81-90. Epub: 2010/11/17. PMID: 21080416.
- Corwin RL, Boan J, Peters KF, et al. Baclofen reduces binge eating in a double-blind, placebo-controlled, crossover study. Behav Pharmacol. 2012 Sep;23(5-6):616-25. Epub: 2012/08/03. PMID: 22854310.
- Grilo CM, Masheb RM, Salant SL. Cognitive behavioral therapy guided self-help and orlistat for the treatment of binge eating disorder: a randomized, double-blind, placebo-controlled trial. Biol Psychiatry. 2005 May 15;57(10):1193-201. Epub: 2005/05/04. PMID: 15866560.
- Grilo CM, White MA. Orlistat with behavioral weight loss for obesity with versus without binge eating disorder: randomized placebo-controlled trial at a community mental health center serving educationally and economically disadvantaged Latino/as. Behav Res Ther. 2013 Mar;51(3):167-75. Epub: 2013/02/05. PMID: 23376451.
- Iacovino JM, Gredysa DM, Altman M, et al. Psychological treatments for binge eating disorder. Curr Psychiatry Rep. 2012 Aug;14(4):432-46. Epub: 2012/06/19. PMID: 22707016.
- Yager J, Devlin MJ, Halmi KA, et al. Practice Guidelines for the Treatment of Patietns with Eating Disorders. American Psychiatric Association 2012.
- National Institute for Health and Care Excellence (NICE). Eating Disorders: Core interventions in the Treatment and Management of Anorexia Nervosa, Bulimia Nervosa and Related Eating Disorders. National Institute for Clinical Excellence; 2004 http://publications.nice.org.uk/eating-disorders-cg9/guidance#atypical-eating-disorders-including-binge-eating-disorder.
- Aigner M, Treasure J, Kaye W, et al. World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for the pharmacological treatment of eating disorders. World J Biol Psychiatry. 2011 Sep;12(6):400-43. Epub: 2011/10/04. PMID: 21961502.
- NC Division of Medical Assistance. Clinical coverage policy no: 1A-15. 2012 June 15. http://www.ncdhhs.gov/dma/mp/1a15.pdf. Accessed January 6 2014.
- Hay PP, Bacaltchuk J, Stefano S, et al. Psychological treatments for bulimia nervosa and binging. Cochrane Database Syst Rev. 2009(4):CD000562. Epub: 2009/10/13. PMID: 19821271.
- Perkins SJ, Murphy R, Schmidt U, et al. Self-help and guided self-help for eating disorders. Cochrane Database Syst Rev. 2006(3):CD004191. Epub: 2006/07/21. PMID: 16856036.
- Berkman ND, Bulik CM, Brownley KA, et al. Management of eating disorders. Evidence report/technology assessment. 2006 Apr(135):1-166. Epub: 2007/07/14. PMID: 17628126.
- Shea BJ, Hamel C, Wells GA, et al. AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. J Clin Epidemiol. 2009 Oct;62(10):1013-20. Epub: 2009/02/24. PMID: 19230606.
- Viswanathan M, Ansari MT, Berkman ND, et al. Assessing the Risk of Bias of Individual Studies in Systematic Reviews of Health Care Interventions. Agency for Healthcare Research and Quality Methods Guide for Comparative Effectiveness Reviews AHRQ Publication No. 12-EHC047-EF. Rockville, MD: Agency for Healthcare Research and Quality; March 2012. www.effectivehealthcare.ahrq.gov/.
- Cochrane Collaboration. The Cochrane Collaboration's tool for assessing risk of bias. Cochrane.org http://ohg.cochrane.org/sites/ohg.cochrane.org/files/uploads/Risk%20of%20bias%20assessment%20tool.pdf.
- Viswanathan M, Berkman ND, Dryden DM, et al. Assessing risk of bias and confounding in observational studies of interventions or exposures: Further development of the RTI Item Bank. Methods Research Report. (Prepared by RTI–UNC Evidence-based Practice Center under Contract No. 290-2007-10056-I) Report No. AHRQ Publication No. 13-EHC106-EF. Rockville, MD: Agency for Healthcare Research and Quality; August 2013.
- West SL, Gartlehner G, Mansfield AJ, et al. Comparative Effectiveness Review Methods: Clinical Heterogeneity. Methods Research Paper AHRQ Publication No. 10-EHC070-EF. Rockville, MD: Agency for Healthcare Research and Quality; Sep 2010. http://effectivehealthcare.ahrq.gov/.
- Berkman ND, Lohr KN, Ansari M, et al. Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An Update. Methods Guide for Comparative Effectiveness Reviews (Prepared by the RTI International-University of North Carolina Evidence-based Practice Center under Contract No. 290- 2007-10056-I) AHRQ Publication No. 13(14)-EHC130-EF. Rockville, MD: Agency for Healthcare Research and Quality; November 2013. www.effectivehealthcare.ahrq.gov/reports/final.cfm.
- Atkins D, Chang S, Gartlehner G, et al. Assessing the Applicability of Studies When Comparing Medical Interventions Methods Guide for Effectiveness and Comparative Effectiveness Reviews. Rockville, MD: 2008.
Definition of Terms
Summary of Protocol Amendments
Review of Key Questions
For all EPC reviews, key questions were reviewed and refined as needed by the EPC with input from Key Informants and the Technical Expert Panel (TEP) to ensure that the questions are specific and explicit about what information is being reviewed. In addition, the Key Questions were posted for public comment and put into final form by the EPC after review of the comments.
Key informants are the end-users of research, including patients and caregivers, practicing clinicians, relevant professional and consumer organizations, purchasers of health care, and others with experience in making health care decisions. Within the EPC program, the key informant role is to provide input into identifying the Key Questions for research that will inform health care decisions. The EPC solicits input from key informants when developing questions for systematic review or when identifying high priority research gaps and needed new research. Key informants are not involved in analyzing the evidence or writing the report and have not reviewed the report, except as given the opportunity to do so through the peer or public review mechanism.
Key informants must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Because of their role as end-users, individuals are invited to serve as key informants and those who present with potential conflicts may be retained. The Task Order Office and the EPC work to balance, manage, or mitigate any potential conflicts of interest identified.
Technical experts constitute a multi-disciplinary group of clinical, content, and methodologic experts who provide input in defining populations, interventions, comparisons, or outcomes as well as identifying particular studies or databases to search. They are selected to provide broad expertise and perspectives specific to the topic under development. Divergent and conflicted opinions are common and perceived as healthy scientific discourse that results in a thoughtful, relevant systematic review. Therefore, study questions, design, and methodological approaches do not necessarily represent the views of individual technical and content experts. Technical experts provide information to the EPC to identify literature search strategies and recommend approaches to specific issues as requested by the EPC. Technical experts do not do analysis of any kind or contribute to the writing of the report; they have not reviewed the report, except as given the opportunity to do so through the peer or public review mechanism.
Technical experts must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Because of their unique clinical or content expertise, individuals are invited to serve as technical experts and those who present with potential conflicts may be retained. The TOO and the EPC work to balance, manage, or mitigate any potential conflicts of interest identified.
Peer reviewers are invited to provide written comments on the draft report based on their clinical, content, or methodologic expertise. In preparing the final draft of the report, the EPC considers all peer review comments on the preliminary draft. Peer reviewers do not participate in writing or editing of the final report or other products. The synthesis of the scientific literature presented in the final report does not necessarily represent the views of individual reviewers. The dispositions of the peer review comments are documented and will, for comparative effectiveness reviews and technical briefs, be published 3 months after the publication of the Evidence report.
Potential peer reviewers must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Invited peer reviewers may not have any financial conflict of interest greater than $10,000. Peer reviewers who disclose potential business or professional conflicts of interest may submit comments on draft reports through the public comment mechanism.
EPC Team Disclosures
EPC core team members must disclose any financial conflicts of interest greater than $1,000 and any other relevant business or professional conflicts of interest. Related financial conflicts of interest that total more than $1,000 will usually disqualify EPC core team investigators.
Role of the Funder
This project was funded under Contract No. HHSA290201200008I from the Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services. The Task Order Officer reviewed contract deliverables for adherence to contract requirements and quality. The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.