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Kelly AS, Bahlke M, Baker JL, de Beaufort C, Belin RM, Fonseca H, Hale PM, Holm JC, Hsia DS, Jastreboff AM, Juliusson PB, Murphy M, Pak J, Paul E, Rudolph B, Srivastava G, Tornøe CW, Weghuber D, Fox CK. Considerations for the design and conduct of pediatric obesity pharmacotherapy clinical trials: Proceedings of expert roundtable meetings. Pediatr Obes 2024; 19:e13161. [PMID: 39289849 DOI: 10.1111/ijpo.13161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 07/24/2024] [Accepted: 07/29/2024] [Indexed: 09/19/2024]
Abstract
Anti-obesity medications (AOMs) have emerged as one element of comprehensive obesity clinical care intended to improve long-term health outcomes for children and adolescents. The number of pediatric AOM clinical trials has burgeoned in recent years as new pharmacotherapeutics have been developed. Factors related to growth and development in children and adolescents can present unique challenges in terms of designing and conducting clinical trials investigating the safety and efficacy of AOMs. These barriers can delay the AOM development and evaluation process, increase the cost of performing trials, create challenges in the interpretation of results, influence the generalizability of the findings and present ethical dilemmas. In an effort to address these issues and provide guidance to streamline the process of designing and conducting pediatric AOM clinical trials, relevant key stakeholders convened a series of roundtable meetings to discuss, debate and achieve harmonization on design features. Stakeholder participants included a multidisciplinary group of international pediatric obesity experts, patient (parent) representatives and representatives from academic medicine, key regulatory agencies and industry. Topics of discussion included primary efficacy end-points, secondary end-points, eligibility criteria, trial run-in and follow-up phases, use of active comparators and guidelines for down-titration and/or stopping rules for excessive weight reduction. Consensus recommendations were agreed upon. Regarding end-points, emphasis was placed on moving away from BMI z-score as a primary outcome, incorporating multiple alternative BMI-related outcomes and measuring adiposity/body fat as a prominent secondary end-point. Trial eligibility criteria were carefully considered to maximize generalizability while maintaining safety. The limited value of trial run-in phases was discussed. It was also underscored that designing trials with extended follow-up periods after AOM withdrawal should be avoided owing to ethical issues (including possible psychological harm) related to weight regain without providing the opportunity to access other treatments. The panel emphasized the value of the randomized, placebo-controlled trial but recommended the thoughtful consideration of the use of active comparators in addition to, or instead of, placebo to achieve clinical equipoise when appropriate. Finally, the panel recommended that clinical trial protocols should include clear guidance regarding AOM down-titration to avoid excessive weight reduction when applicable.
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Affiliation(s)
- Aaron S Kelly
- Department of Pediatrics and Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- The Obesity Society, Rockville, Maryland, USA
| | - Melanie Bahlke
- European Coalition for People Living with Obesity, Dublin, Ireland
- Global Patient Alliance
- Adipositaschirurgie Selbsthilfe Deutschland e.V. (Obesity Surgery Patient Organisation), Germany
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Frederiksberg, Denmark
- European Association for the Study of Obesity, Teddington, England
| | - Carine de Beaufort
- Pediatric Clinic/Centre Hospitalier de Luxembourg, Luxembourg City, Luxembourg
- Department of Science, Technology, and Medicine, University of Luxembourg, Luxembourg City, Luxembourg
| | - Ruth M Belin
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Helena Fonseca
- Pediatric Obesity Clinic, Department of Pediatrics, Hospital de Santa Maria, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | | | - Jens-Christian Holm
- European Association for the Study of Obesity, Teddington, England
- Department of Paediatrics, The Children's Obesity Clinic, European Center of Management, Holbaek, Denmark
| | - Daniel S Hsia
- The Obesity Society, Rockville, Maryland, USA
- Clinical Trials Unit, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Ania M Jastreboff
- The Obesity Society, Rockville, Maryland, USA
- Department of Medicine (Endocrinology) and Pediatrics (Pediatric Endocrinology), Yale Obesity Research Center (Y-Weight), New Haven, Connecticut, USA
| | - Petur B Juliusson
- Department of Pediatrics and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Health Registry Research and Development, Norwegian Institute of Public Health, Bergen, Norway
| | | | - Jonathan Pak
- Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut, USA
- Boehringer Ingelheim Pharmaceuticals, Inc., Ingelheim, Germany
| | | | - Bryan Rudolph
- Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut, USA
- Boehringer Ingelheim Pharmaceuticals, Inc., Ingelheim, Germany
| | - Gitanjali Srivastava
- Division of Diabetes, Endocrinology and Metabolism, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Daniel Weghuber
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
- The European Childhood Obesity Group, Brussels, Belgium
| | - Claudia K Fox
- Department of Pediatrics and Center for Pediatric Obesity Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
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Pais R, Cariou B, Noureddin M, Francque S, Schattenberg JM, Abdelmalek MF, Lalazar G, Varma S, Dietrich J, Miller V, Sanyal A, Ratziu V. A proposal from the liver forum for the management of comorbidities in non-alcoholic steatohepatitis therapeutic trials. J Hepatol 2023; 79:829-841. [PMID: 37001695 DOI: 10.1016/j.jhep.2023.03.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 02/08/2023] [Accepted: 03/13/2023] [Indexed: 06/19/2023]
Abstract
The current document has been developed by the Liver Forum who mandated the NAFLD-Associated Comorbidities Working Group - a multistakeholder group comprised of experts from academic medicine, industry and patient associations - to identify aspects of diverse comorbidities frequently associated with non-alcoholic steatohepatitis (NASH) that can interfere with the conduct of therapeutic trials and, in particular, impact efficacy and safety results. The objective of this paper is to propose guidance for the management of relevant comorbidities in both candidates and actual participants in NASH therapeutic trials. We relied on specific guidelines from scientific societies, when available, but adapted them to the particulars of NASH trials with the aim of addressing multiple interacting requirements such as maintaining patient safety, reaching holistic therapeutic objectives, minimising confounding effects on efficacy and safety of investigational agents and allowing for trial completion. We divided the field of action into: first, analysis and stabilisation of the patient's condition before inclusion in the trial and, second, management of comorbidities during trial conduct. For the former, we discussed the concept of acceptable vs. optimal control of comorbidities, defined metabolic and ponderal stability prior to randomisation and weighed the pros and cons of a run-in period. For the latter, we analysed non-hepatological comorbid conditions for changes or acute events possibly occurring during the trial, including changes in alcohol consumption, in order to detail when specific interventions are necessary and how best to manage concomitant drug intake in line with methodological constraints. These recommendations are intended to act as a guide for clinical trialists and are open to further refinement when additional data become available.
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Affiliation(s)
- Raluca Pais
- Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Institute of Cardiometabolism and Nutrition, France; Centre de Recherche Saint Antoine, INSERM UMRS_938 Paris, France
| | - Bertrand Cariou
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000 Nantes, France
| | | | - Sven Francque
- Department of Gastroenterology Hepatology, Antwerp University Hospital, Drie Eikenstraat 655, B-2650 Edegem, Belgium; InflaMed Centre of Excellence, Laboratory for Experimental Medicine and Paediatrics, Translational Sciences in Inflammation and Immunology, Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk, Belgium European Reference Network on Hepatological Diseases (ERN RARE-LIVER), Belgium
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Manal F Abdelmalek
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC, USA
| | - Gadi Lalazar
- Liver Unit, Digestive Disease Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Sharat Varma
- Novo Nordisk A/S, Vandtårnsvej 108-110, 2860 Søborg Denmark
| | - Julie Dietrich
- GENFIT, Parc Eurasanté 885, Avenue Eugène Avinée, 59120, Loos, France
| | - Veronica Miller
- Forum for Collaborative Research, University of California Berkeley School of Public Health, Washington D.C., USA
| | - Arun Sanyal
- Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | - Vlad Ratziu
- Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Institute of Cardiometabolism and Nutrition, France; INSERM UMRS 1138 CRC, Paris, France.
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Crane MM, Walton SM, Suzuki S, Appelhans BM. Quantifying weight loss program preferences of men working in trade and labor occupations: A discrete choice experiment. Obes Sci Pract 2023; 9:243-252. [PMID: 37287515 PMCID: PMC10242269 DOI: 10.1002/osp4.642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/02/2022] [Accepted: 09/19/2022] [Indexed: 06/09/2023] Open
Abstract
Objective Men who work in skilled and unskilled trades and labor occupations (i.e., blue-collar occupations), have high rates of obesity and associated comorbidities but are underrepresented in weight loss programs. A first step in engaging this group is to better understand their preferences for weight loss programs. Methods Respondents were men working in trade and labor occupations, with overweight/obesity, and an interest in losing weight. A discrete choice experiment was developed, and the data were analyzed using mixed logit model. Respondent characteristics were tested as effect modifiers. Results Respondents (N = 221, age (M ± SD) 45.0 ± 12.6, BMI 33.3 ± 6.3, 77% non-Hispanic white) working in a variety of occupations (construction 31%, manufacturing 30%, transportation 25%, maintenance/repair 14%) participated in this study. Results indicate preferences for programs that encourage making smaller dietary changes, are delivered online, and do not incorporate competition. Results were consistent across sensitivity analyses and most respondent groups. Conclusions The results suggest specific ways to make weight loss programs more appealing to men in trade and labor occupations. Using experimental methods to quantify preferences using larger, more representative samples would further assist in tailoring behavioral weight loss programs for under-reached populations.
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Affiliation(s)
- Melissa M. Crane
- Department of Family and Preventive MedicineRush University Medical CenterChicagoIllinoisUSA
| | - Surrey M. Walton
- Department of Pharmacy Systems Outcomes and PolicyUniversity of Illinois ChicagoChicagoIllinoisUSA
| | - Sumihiro Suzuki
- Department of Family and Preventive MedicineRush University Medical CenterChicagoIllinoisUSA
| | - Bradley M. Appelhans
- Department of Family and Preventive MedicineRush University Medical CenterChicagoIllinoisUSA
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McVay MA, Lavoie HA, Rajoria M, Leong MC, Lou X, McMahon LN, Patnode CD, Pagoto SL, Jake-Schoffman DE. Pre-Enrollment Steps and Run-Ins in Weight Loss Trials: A Meta-Regression. Am J Prev Med 2023; 64:910-917. [PMID: 36822955 DOI: 10.1016/j.amepre.2023.01.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 01/19/2023] [Accepted: 01/19/2023] [Indexed: 02/25/2023]
Abstract
INTRODUCTION The generalizability of study findings may be influenced by pre-enrollment trial procedures, including the use of behavioral run-in periods. The study goals were to determine whether behavioral run-in periods and other pre-enrollment processes affect outcomes in randomized trials of behavioral weight loss interventions that have contributed to clinical guidelines. METHODS The sample was behavioral weight loss intervention trials included in the 2018 U.S. Preventive Services Task Force systematic review. Information on pre-enrollment processes (total steps, in-person steps, behavioral run-in) was abstracted, and meta-regressions were conducted in 2022 to test whether pre-enrollment processes were associated with weight loss at 6 or 12 months and trial retention at 12 months. RESULTS Across 80 trials, the median number of total pre-enrollment steps was 2 (range=1-5), and that of in-person pre-enrollment steps was 1 (range=0-4). Almost one-third of the trials (k=24; 30%) used a behavioral run-in. The most common run-in tasks were self-monitoring physical activity (k=9) or both physical activity and diet (k=6). Greater weight loss was observed in trials with behavioral run-ins at 6 months (-2.33 kg; 95% CI= -3.72, -0.93) and, to an attenuated extent, at 12 months (-0.86 kg; 95% CI= -1.72, 0.01) compared to those without run-ins. The total number of pre-enrollment steps was also associated with greater 6-month weight loss (-0.85 kg; 95% CI= -1.59, -0.11). Higher retention was associated with total number of pre-enrollment steps and in-person steps and marginally with the presence of run-ins. DISCUSSION The use of more pre-enrollment processes is associated with greater weight loss in behavioral weight loss trials and may impact the generalizability of outcomes.
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Affiliation(s)
- Megan A McVay
- Department of Health Education & Behavior, College of Health and Human Performance, University of Florida, Gainesville, Florida.
| | - Hannah A Lavoie
- Department of Health Education & Behavior, College of Health and Human Performance, University of Florida, Gainesville, Florida
| | - Melinda Rajoria
- Department of Neuroendovascular Surgery, Baptist Research Institute, Jacksonville, Florida
| | - Man Chong Leong
- Department of Biostatistics, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida
| | - XiangYang Lou
- Department of Biostatistics, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida
| | - Leah N McMahon
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | | | - Sherry L Pagoto
- Department of Allied Health Science, College of Agriculture, Health and Natural Resources, University of Connecticut, Storrs, Connecticut
| | - Danielle E Jake-Schoffman
- Department of Health Education & Behavior, College of Health and Human Performance, University of Florida, Gainesville, Florida
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Murphy RP, O'Donnell MJ, Nolan A, McGrath E, O'Conghaile A, Ferguson J, Alvarez-Iglesias A, Costello M, Loughlin E, Reddin C, Ruttledge S, Gorey S, Hughes D, Smyth A, Canavan M, Judge C. Effect of a Run-In Period on Estimated Treatment Effects in Cardiovascular Randomized Clinical Trials: A Meta-Analytic Review. J Am Heart Assoc 2022; 11:e023061. [PMID: 36250666 DOI: 10.1161/jaha.121.023061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background A run-in period may increase adherence to intervention and reduce loss to follow-up. Whether use of a run-in period affects the magnitude of treatment effects is unknown. Methods and Results We conducted a meta-analysis comparing treatment effects from 11 systematic reviews of cardiovascular prevention trials using a run-in period with matched trials not using a run-in period. We matched run-in with non-run-in trials by population, intervention, control, and outcome. We calculated a ratio of relative risks (RRRs) using a random-effects meta-analysis. Our primary outcome was a composite of cardiovascular events, and the primary analysis was a matched comparison of clinical trials using a run-in period versus without a run-in period. We identified 66 run-in trials and 111 non-run-in trials (n=668 901). On meta-analysis there was no statistically significant difference in the magnitude of treatment effect between run-in trials (relative risk [RR], 0.83 [95% CI, 0.80-0.87]) compared with non-run-in trials (RR, 0.88 [95% CI, 0.84-0.91]; RRR, 0.95 [95% CI, 0.90-1.01]). There was no significant difference in the RRR for secondary outcomes of all-cause mortality (RRR, 0.97 [95% CI, 0.91-1.03]) or medication discontinuation because of adverse events (RRR, 1.05 [95% CI, 0.85-1.21]). Post hoc exploratory univariate meta-regression showed that on average a run-in period is associated with a statistically significant difference in treatment effect (RRR, 0.94 [95% CI, 0.90-0.99]) for cardiovascular composite outcome, but this was not statistically significant on multivariable meta-regression analysis (RRR, 0.95 [95% CI, 0.90-1.0]). Conclusions The use of a run-in period was not associated with a difference in the magnitude of treatment effect among cardiovascular prevention trials.
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Affiliation(s)
- Robert P Murphy
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Martin J O'Donnell
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Aoife Nolan
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Emer McGrath
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland.,Department of Neurology Harvard Medical School Boston MA
| | - Aengus O'Conghaile
- Department of Psychiatry National University of Ireland Galway Galway Ireland
| | - John Ferguson
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Alberto Alvarez-Iglesias
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Maria Costello
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Elaine Loughlin
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Catriona Reddin
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Sarah Ruttledge
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Sarah Gorey
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Diarmaid Hughes
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Andrew Smyth
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Michelle Canavan
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland
| | - Conor Judge
- Health Research Board Clinical Research Facility-Galway National University of Ireland Galway Galway Ireland.,Translational Medical Device Lab National University of Ireland Galway Galway Ireland.,Wellcome Trust - Health Research Board Irish Clinical Academic Training Galway Ireland
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Schneider-Worthington CR, Kinsey AW, Tan F, Zhang S, Borgatti AC, Davis AL, Dutton GR. Pretreatment and During-Treatment Weight Trajectories in Black and White Women. Am J Prev Med 2022; 63:S67-S74. [PMID: 35725143 PMCID: PMC9219238 DOI: 10.1016/j.amepre.2022.01.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/11/2022] [Accepted: 01/21/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Black participants often lose less weight than White participants in response to behavioral weight-loss interventions. Many participants experience significant pretreatment weight fluctuations (between baseline measurement and treatment initiation), which have been associated with treatment outcomes. Pretreatment weight gain has been shown to be more prevalent among Black participants and may contribute to racial differences in treatment responses. The purpose of this study was to (1) examine the associations between pretreatment weight change and treatment outcomes and (2) examine racial differences in pretreatment weight change and weight loss among Black and White participants. METHODS Participants were Black and White women (n=153, 60% Black) enrolled in a 4-month weight loss program. Weight changes occurring during the pretreatment period (41 ± 14 days) were categorized as weight stable (±1.15% of baseline weight), weight gain (≥+1.15%), or weight loss (≤-1.15%). Recruitment and data collection occurred from 2011 to 2015; statistical analyses were performed in 2021. RESULTS During the pretreatment period, most participants (56%) remained weight stable. Pretreatment weight trajectories did not differ by race (p=0.481). At 4-months, those who lost weight before treatment experienced 2.63% greater weight loss than those who were weight stable (p<0.005), whereas those who gained weight before treatment experienced 1.91% less weight loss (p<0.01). CONCLUSIONS Pretreatment weight changes can impact weight outcomes after initial treatment, although no differences between Black and White participants were observed. Future studies should consider the influence of pretreatment weight change on long-term outcomes (e.g., weight loss maintenance) along with potential racial differences in these associations. This study is registered (retrospectively registered) at ClinicalTrials.gov (NCT02487121) on June 26, 2015.
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Affiliation(s)
- Camille R Schneider-Worthington
- Division of Preventive Medicine, Department of Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.
| | - Amber W Kinsey
- Division of Preventive Medicine, Department of Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Fei Tan
- Department of Mathematical Sciences, School of Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana
| | - Sheng Zhang
- Department of Mathematical Sciences, School of Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana
| | - Alena C Borgatti
- Department of Psychology, College of Arts and Sciences, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Andrea L Davis
- Department of Psychology, College of Arts and Sciences, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Gareth R Dutton
- Division of Preventive Medicine, Department of Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama
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Leahey TM, Blackman Carr LT, Denmat Z, Fernandes D, Gorin AA. Effectiveness of "run-ins" at predicting adherence in a behavioral weight loss efficacy trial. Contemp Clin Trials 2022; 114:106678. [PMID: 35007787 PMCID: PMC8934261 DOI: 10.1016/j.cct.2022.106678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/04/2022] [Accepted: 01/05/2022] [Indexed: 11/18/2022]
Abstract
There is limited research on whether run-in procedures predict participant adherence during behavioral efficacy trials. This study examined whether information from behavioral run-ins (food diary completion, questionnaire completion, and staff interview) predict intervention adherence, trial retention, and trial outcomes in a behavioral weight loss trial. Using run-in data, trial staff predicted which participants would have high, moderate, or low trial adherence. Participants with predicted high or moderate adherence were randomized. Results showed that predicted high adherers had better intervention adherence (session attendance and completion of self-monitoring records) and superior trial outcomes (i.e. weight loss). Run-in data did not predict trial retention. Results suggest that run-ins may be effective at identifying participants adherent to intervention protocols, thereby enhancing internal validity of behavioral efficacy trials.
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Affiliation(s)
- Tricia M Leahey
- University of Connecticut, Department of Allied Health Sciences, Koons Hall, 358 Mansfield Rd., Unit 1101, Storrs, CT 06269-1101, USA.
| | - Loneke T Blackman Carr
- University of Connecticut, Department of Nutritional Sciences, Roy E. Jones Bldg., 27 Mander Rd., Unit 4017, Storrs, CT 06269-1101, USA.
| | - Zeely Denmat
- University of Connecticut, Institute for Collaboration on Health, Intervention, and Policy, 2006 Hillside Rd., Unit 1248, Storrs, CT 06269-1101, USA.
| | - Denise Fernandes
- University of Connecticut, Institute for Collaboration on Health, Intervention, and Policy, 2006 Hillside Rd., Unit 1248, Storrs, CT 06269-1101, USA.
| | - Amy A Gorin
- University of Connecticut, Department of Psychological Sciences, Bousfield Psychology Building, 406 Babbidge Rd, Unit 1020, Storrs, CT 06269-1101, USA.
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Kinsey AW, Gowey MA, Tan F, Zhou D, Ard J, Affuso O, Dutton GR. Similar weight loss and maintenance in African American and White women in the Improving Weight Loss (ImWeL) trial. ETHNICITY & HEALTH 2021; 26:251-263. [PMID: 29966428 PMCID: PMC6314901 DOI: 10.1080/13557858.2018.1493435] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 06/06/2018] [Indexed: 06/08/2023]
Abstract
Objective: African Americans (AA) are often underrepresented and tend to lose less weight than White participants during the intensive phase of behavioral obesity treatment. Some evidence suggests that AA women experience better maintenance of lost weight than White women, however, additional research on the efficacy of extended care programs (i.e. continued contacts to support the maintenance of lost weight) is necessary to better understand these differences.Methods: The influence of race on initial weight loss, the likelihood of achieving ≥5% weight reduction (i.e. extended care eligibility), the maintenance of lost weight and extended care program efficacy was examined in 269 AA and White women (62.1% AA) participating in a 16-month group-based weight management program. Participants achieving ≥5% weight reduction during the intensive phase (16 weekly sessions) were randomized to a clustered campaign extended care program (12 sessions delivered in three, 4-week clusters) or self-directed control.Results: In adjusted models, race was not associated with initial weight loss (p = 0.22) or the likelihood of achieving extended care eligibility (odds ratio 0.64, 95% CI [0.29, 1.38]). AA and White women lost -7.13 ± 0.39 kg and -7.62 ± 0.43 kg, respectively, during initial treatment. There were no significant differences in weight regain between AA and White women (p = 0.64) after adjusting for covariates. Clustered campaign program participants (AA: -6.74 ± 0.99 kg, White: -6.89 ± 1.10 kg) regained less weight than control (AA: -5.15 ± 0.99 kg, White: -4.37 ± 1.04 kg), equating to a 2.12 kg (p = 0.03) between-group difference after covariate adjustments.Conclusions: Weight changes and extended care eligibility were comparable among all participants. The clustered campaign program was efficacious for AA and White women. The high representation and retention of AA participants may have contributed to these findings.
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Affiliation(s)
- Amber W. Kinsey
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marissa A. Gowey
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Fei Tan
- Department of Mathematical Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Dali Zhou
- Department of Mathematical Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Jamy Ard
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston Salem, NC, USA
| | - Olivia Affuso
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gareth R. Dutton
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Luijendijk HJ, Page MJ, Burger H, Koolman X. Assessing risk of bias: a proposal for a unified framework for observational studies and randomized trials. BMC Med Res Methodol 2020; 20:237. [PMID: 32967622 PMCID: PMC7510067 DOI: 10.1186/s12874-020-01115-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 09/04/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Evidence based medicine aims to integrate scientific evidence, clinical experience, and patient values and preferences. Individual health care professionals need to appraise the evidence from randomized trials and observational studies when guidelines are not yet available. To date, tools for assessment of bias and terminologies for bias are specific for each study design. Moreover, most tools appeal only to methodological knowledge to detect bias, not to subject matter knowledge, i.e. in-depth medical knowledge about a topic. We propose a unified framework that enables the coherent assessment of bias across designs. METHODS Epidemiologists traditionally distinguish between three types of bias in observational studies: confounding, information bias, and selection bias. These biases result from a common cause, systematic error in the measurement or common effect of the intervention and outcome respectively. We applied this conceptual framework to randomized trials and show how it can be used to identify bias. The three sources of bias were illustrated with graphs that visually represent researchers' assumptions about the relationships between the investigated variables (causal diagrams). RESULTS Critical appraisal of evidence started with the definition of the research question in terms of the population of interest, the compared interventions and the main outcome. Next, we used causal diagrams to illustrate how each source of bias can lead to over- or underestimated treatment effects. Then, we discussed how randomization, blinded outcome measurement and intention-to-treat analysis minimize bias in trials. Finally, we identified study aspects that can only be appraised with subject matter knowledge, irrespective of study design. CONCLUSIONS The unified framework encompassed the three main sources of bias for the effect of an assigned intervention on an outcome. It facilitated the integration of methodological and subject matter knowledge in the assessment of bias. We hope that graphical diagrams will help clarify debate among professionals by reducing misunderstandings based on different terminology for bias.
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Affiliation(s)
- Hendrika J Luijendijk
- University of Groningen, University Medical Center Groningen, Department ofGeneral Practice and Elderly Care Medicine, Groningen, The Netherlands.
| | - Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Huibert Burger
- University of Groningen, University Medical Center Groningen, Department ofGeneral Practice and Elderly Care Medicine, Groningen, The Netherlands
| | - Xander Koolman
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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10
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Glass O, Filozof C, Noureddin M, Berner-Hansen M, Schabel E, Omokaro SO, Schattenberg JM, Barradas K, Miller V, Francque S, Abdelmalek MF. Standardisation of diet and exercise in clinical trials of NAFLD-NASH: Recommendations from the Liver Forum. J Hepatol 2020; 73:680-693. [PMID: 32353483 DOI: 10.1016/j.jhep.2020.04.030] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 03/29/2020] [Accepted: 04/20/2020] [Indexed: 12/24/2022]
Abstract
Lifestyle modification is the foundation of treatment recommendations for non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). The design of clinical trials in NASH may be impeded by the lack of a systematic approach to identify and evaluate how lifestyle changes and/or modifications influence clinical trial outcomes and associated endpoints. Furthermore, there are additional uncertainties regarding the methods that can be utilised to better characterise and quantify lifestyle variables - which can influence disease activity and alter trial endpoints - to allow for comparisons of trial outcomes across different phases of research and/or within drug-classes. This summary by the Liver Forum's Standard of Care Working Group reviews currently available clinical data, identifies the barriers and challenges associated with the standard of care in NAFLD/NASH clinical trials, defines available assessments of lifestyle changes, and proposes approaches to better understand and define the influence of diet and exercise on NASH treatment in the context of different pharmacologic interventions. The ultimate objective is to propose tangible solutions which enable investigators, sponsors, and regulatory authorities to meaningfully interpret clinical trial outcomes and the impact of lifestyle modification on such outcomes as they pertain to phase I-IV clinical trials.
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Affiliation(s)
- Oliver Glass
- Division of General Internal Medicine, Duke University, Durham, North Carolina
| | | | - Mazen Noureddin
- Division of Digestive and Liver Diseases Cedars-Sinai Medical Center, Los Angeles, California
| | - Mark Berner-Hansen
- Digestive Disease Center, Bispebjerg University Hospital of Copenhagen, Denmark
| | - Elmer Schabel
- Bundesinstitut für Arzneimittel und Medizinprodukte, Bonn, Germany
| | - Stephanie O Omokaro
- Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland
| | - Jörn M Schattenberg
- Metabolic Liver Research Center, Department of Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Katherine Barradas
- Forum for Collaborative Research, University of California Berkeley School of Public Health, Washington D.C
| | - Veronica Miller
- Forum for Collaborative Research, University of California Berkeley School of Public Health, Washington D.C
| | - Sven Francque
- Division of Gastroenterology & Hepatology, Antwerp University & University Hospital, Antwerp, Belgium.
| | - Manal F Abdelmalek
- Division of Gastroenterology and Hepatology, Duke University, Durham, North Carolina.
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11
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Karahalios A, Herbison GP, McKenzie JE. Placebo run-in periods in anticholinergic trials are not associated with treatment effect size or risk of attrition: an empirical evaluation. J Clin Epidemiol 2020; 125:120-129. [PMID: 32531264 DOI: 10.1016/j.jclinepi.2020.05.032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 05/11/2020] [Accepted: 05/27/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVES We aimed to explore the impact of run-in periods on the magnitude of treatment effect and the risk of attrition in a sample of randomized trials. STUDY DESIGN AND SETTING We identified randomized trials from a published systematic review examining the effects of anticholinergics for the treatment of overactive bladders. We fitted meta-analytic mixed-effects models to assess whether the type of run-in (placebo run-in vs. no run-in) was associated with the magnitude of the effect estimates for the following outcomes: the number of voids per day, number of leakages per day, presence of dry mouth, cure/improvement, patient withdrawal from the trial, compliance with the trial protocol, and/or adherence to study drug. We adjusted for potential confounders. RESULTS A total of 96 trials met the eligibility criteria; 59 trials had no run-in (which included those with a screening or withdrawal period), 37 trials had a placebo run-in, and no trials had a drug run-in. The magnitude of the effect estimates for all outcomes did not importantly differ between trials with a placebo run-in and trials with no run-in. Adjustment for the confounding variables did not materially change the estimates. CONCLUSION The hypothesized benefits of placebo run-in periods were not observed in our sample of anticholinergic randomized trials for the treatment of overactive bladders. Designing future trials of anticholinergics with more pragmatic intentions is likely to result in evidence that more directly informs clinical decision-making.
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Affiliation(s)
- Amalia Karahalios
- School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, Victoria, Australia.
| | | | - Joanne E McKenzie
- School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, Victoria, Australia
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12
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Westman J, Eberhard J, Gaughran FP, Lundin L, Stenmark R, Edman G, Eriksson SV, Jedenius E, Rydell P, Overgaard K, Abrams D, Greenwood KE, Smith S, Ismail K, Murray R, Ösby U. Outcome of a psychosocial health promotion intervention aimed at improving physical health and reducing alcohol use in patients with schizophrenia and psychotic disorders (MINT). Schizophr Res 2019; 208:138-144. [PMID: 30979666 DOI: 10.1016/j.schres.2019.03.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/23/2019] [Accepted: 03/26/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Life expectancy is reduced by 19 years in men and 17 in women with psychosis in Sweden, largely due to cardiovascular disease. AIM Assess whether a psychosocial health promotion intervention improves cardiometabolic risk factors, quality of life, and severity of illness in patients with psychotic disorders more than treatment as usual. METHODS A pragmatic intervention trial testing a manual-based multi-component health promotion intervention targeting patients with psychosis. The Swedish intervention was adapted from IMPaCT therapy, a health-promotion program based on motivational interviewing and cognitive behavioral therapy, designed to be incorporated into routine care. The intervention group consisted of 119 patients and the control group of 570 patients from specialized psychosis departments. Outcome variables were assessed 6 months before intervention during the run-in period, again at the start of intervention, and 12 months after the intervention began. The control group received treatment as usual. RESULTS The intervention had no significant effect on any of the outcome variables. However, BMI, waist circumference, systolic BP, heart rate, HbA1c, general health, and Clinical Global Impressions Scale score improved significantly during the run-in period before the start of the active intervention (observer effect). The multi-component design meant that treatment effects could only be calculated for the intervention as a whole. CONCLUSION The results of the intervention are similar to those of the U.K. IMPaCT study, in which the modular health-promotion intervention had little effect on cardiovascular risk indicators. However, in the current study, the run-in period had a positive effect on cardiometabolic risk factors.
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Affiliation(s)
- Jeanette Westman
- Dept of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Academic Primary Health Care Centre, Region Stockholm, Sweden.
| | - Jonas Eberhard
- Division of Psychiatry, Dept of Clinical Sciences, Lund University, Lund, Sweden; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Fiona P Gaughran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Lennart Lundin
- Sahlgrenska University Hospital, Gothenburg, Sweden; Swedish Schizophrenia Fellowship, Stockholm, Sweden
| | - Richard Stenmark
- Division of Psychiatry, Dept of Clinical Sciences, Lund University, Lund, Sweden
| | - Gunnar Edman
- Norrtälje Hospital, Tiohundra AB, Norrtälje, Sweden; Dept of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Sven V Eriksson
- Department of Internal Medicine, Enköping Hospital, Enköping, Sweden; Aleris Specialist Care, Gothenburg, Sweden
| | - Erik Jedenius
- Dept of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Division of Psychiatry, Dept of Clinical Sciences, Lund University, Lund, Sweden
| | - Pia Rydell
- Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | | | - Kathryn E Greenwood
- School of Psychology, University of Sussex, Brighton, UK; Sussex Partnership NHS Foundation Trust, UK
| | - Shubulade Smith
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Khalida Ismail
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Robin Murray
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Urban Ösby
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
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13
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Laursen DRT, Paludan-Müller AS, Hróbjartsson A. Randomized clinical trials with run-in periods: frequency, characteristics and reporting. Clin Epidemiol 2019; 11:169-184. [PMID: 30809104 PMCID: PMC6377048 DOI: 10.2147/clep.s188752] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Run-in periods are occasionally used in randomized clinical trials to exclude patients after inclusion, but before randomization. In theory, run-in periods increase the probability of detecting a potential treatment effect, at the cost of possibly affecting external and internal validity. Adequate reporting of exclusions during the run-in period is a prerequisite for judging the risk of compromised validity. Our study aims were to assess the proportion of randomized clinical trials with run-in periods, to characterize such trials and the types of run-in periods and to assess their reporting. Materials and methods This was an observational study of 470 PubMed-indexed randomized controlled trial publications from 2014. We compared trials with and without run-in periods, described the types of run-in periods and evaluated the completeness of their reporting by noting whether publications stated the number of excluded patients, reasons for exclusion and baseline characteristics of the excluded patients. Results Twenty-five trials reported a run-in period (5%). These were larger than other trials (median number of randomized patients 217 vs 90, P=0.01) and more commonly industry trials (11% vs 3%, P<0.01). The run-in procedures varied in design and purpose. In 23 out of 25 trials (88%), the run-in period was incompletely reported, mostly due to missing baseline characteristics. Conclusion Approximately 1 in 20 trials used run-in periods, though much more frequently in industry trials. Reporting of the run-in period was often incomplete, precluding a meaningful assessment of the impact of the run-in period on the validity of trial results. We suggest that current trials with run-in periods are interpreted with caution and that updates of reporting guidelines for randomized trials address the issue.
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Affiliation(s)
- David Ruben Teindl Laursen
- Centre for Evidence-Based Medicine Odense (CEBMO), Odense University Hospital, Odense, Denmark, .,Nordic Cochrane Centre, Rigshospitalet, Copenhagen, Denmark, .,Department of Clinical Research, University of Southern Denmark, Odense, Denmark, .,Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark,
| | | | - Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense (CEBMO), Odense University Hospital, Odense, Denmark, .,Department of Clinical Research, University of Southern Denmark, Odense, Denmark, .,Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark,
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14
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Avenell A, Robertson C, Skea Z, Jacobsen E, Boyers D, Cooper D, Aceves-Martins M, Retat L, Fraser C, Aveyard P, Stewart F, MacLennan G, Webber L, Corbould E, Xu B, Jaccard A, Boyle B, Duncan E, Shimonovich M, Bruin MD. Bariatric surgery, lifestyle interventions and orlistat for severe obesity: the REBALANCE mixed-methods systematic review and economic evaluation. Health Technol Assess 2018; 22:1-246. [PMID: 30511918 PMCID: PMC6296173 DOI: 10.3310/hta22680] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Adults with severe obesity [body mass index (BMI) of ≥ 35 kg/m2] have an increased risk of comorbidities and psychological, social and economic consequences. OBJECTIVES Systematically review bariatric surgery, weight-management programmes (WMPs) and orlistat pharmacotherapy for adults with severe obesity, and evaluate the feasibility, acceptability, clinical effectiveness and cost-effectiveness of treatment. DATA SOURCES Electronic databases including MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials and the NHS Economic Evaluation Database were searched (last searched in May 2017). REVIEW METHODS Four systematic reviews evaluated clinical effectiveness, cost-effectiveness and qualitative evidence for adults with a BMI of ≥ 35 kg/m2. Data from meta-analyses populated a microsimulation model predicting costs, outcomes and cost-effectiveness of Roux-en-Y gastric bypass (RYGB) surgery and the most effective lifestyle WMPs over a 30-year time horizon from a NHS perspective, compared with current UK population obesity trends. Interventions were cost-effective if the additional cost of achieving a quality-adjusted life-year is < £20,000-30,000. RESULTS A total of 131 randomised controlled trials (RCTs), 26 UK studies, 33 qualitative studies and 46 cost-effectiveness studies were included. From RCTs, RYGB produced the greatest long-term weight change [-20.23 kg, 95% confidence interval (CI) -23.75 to -16.71 kg, at 60 months]. WMPs with very low-calorie diets (VLCDs) produced the greatest weight loss at 12 months compared with no WMPs. Adding a VLCD to a WMP gave an additional mean weight change of -4.41 kg (95% CI -5.93 to -2.88 kg) at 12 months. The intensive Look AHEAD WMP produced mean long-term weight loss of 6% in people with type 2 diabetes mellitus (at a median of 9.6 years). The microsimulation model found that WMPs were generally cost-effective compared with population obesity trends. Long-term WMP weight regain was very uncertain, apart from Look AHEAD. The addition of a VLCD to a WMP was not cost-effective compared with a WMP alone. RYGB was cost-effective compared with no surgery and WMPs, but the model did not replicate long-term cost savings found in previous studies. Qualitative data suggested that participants could be attracted to take part in WMPs through endorsement by their health-care provider or through perceiving innovative activities, with WMPs being delivered to groups. Features improving long-term weight loss included having group support, additional behavioural support, a physical activity programme to attend, a prescribed calorie diet or a calorie deficit. LIMITATIONS Reviewed studies often lacked generalisability to UK settings in terms of participants and resources for implementation, and usually lacked long-term follow-up (particularly for complications for surgery), leading to unrealistic weight regain assumptions. The views of potential and actual users of services were rarely reported to contribute to service design. This study may have failed to identify unpublished UK evaluations. Dual, blinded numerical data extraction was not undertaken. CONCLUSIONS Roux-en-Y gastric bypass was costly to deliver, but it was the most cost-effective intervention. Adding a VLCD to a WMP was not cost-effective compared with a WMP alone. Most WMPs were cost-effective compared with current population obesity trends. FUTURE WORK Improved reporting of WMPs is needed to allow replication, translation and further research. Qualitative research is needed with adults who are potential users of, or who fail to engage with or drop out from, WMPs. RCTs and economic evaluations in UK settings (e.g. Tier 3, commercial programmes or primary care) should evaluate VLCDs with long-term follow-up (≥ 5 years). Decision models should incorporate relevant costs, disease states and evidence-based weight regain assumptions. STUDY REGISTRATION This study is registered as PROSPERO CRD42016040190. FUNDING The National Institute for Health Research Health Technology Assessment programme. The Health Services Research Unit and Health Economics Research Unit are core funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorate.
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Affiliation(s)
- Alison Avenell
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Clare Robertson
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Zoë Skea
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Elisabet Jacobsen
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Dwayne Boyers
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - David Cooper
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | | | | | - Cynthia Fraser
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Fiona Stewart
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Graeme MacLennan
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | | | | | | | | | - Bonnie Boyle
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Eilidh Duncan
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
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15
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Bender MS, Cooper BA, Park LG, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017; 2:e30. [PMID: 30291068 PMCID: PMC6238885 DOI: 10.2196/diabetes.8156] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 10/02/2017] [Accepted: 10/29/2017] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Filipino Americans have a high prevalence of obesity, type 2 diabetes (T2D), and cardiovascular disease compared with other Asian American subgroups and non-Hispanic whites. Mobile health (mHealth) weight loss interventions can reduce chronic disease risks, but these are untested in Filipino Americans with T2D. OBJECTIVE The objective of this study was to assess feasibility and potential efficacy of a pilot, randomized controlled trial (RCT) of a culturally adapted mHealth weight loss lifestyle intervention (Pilipino Americans Go4Health [PilAm Go4Health]) for overweight Filipino Americans with T2D. METHODS This was a 2-arm pilot RCT of the 3-month PilAm Go4Health intervention (phase 1) with an active waitlist control and 3-month follow-up (phase 2). The waitlist control received the PilAm Go4Health in phase 2, whereas the intervention group transitioned to the 3-month follow-up. PilAm Go4Health incorporated a Fitbit accelerometer, mobile app with diary for health behavior tracking (steps, food/calories, and weight), and social media (Facebook) for virtual social support, including 7 in-person monthly meetings. Filipino American adults ≥18 years with T2D were recruited from Northern California. Feasibility was measured by rates of recruitment, engagement, and retention. Multilevel regression analyses assessed within and between group differences for the secondary outcome of percent weight change and other outcomes of weight (kg), body mass index (BMI), waist circumference, fasting plasma glucose, HbA1c, and steps. RESULTS A total of 45 Filipino American adults were enrolled and randomized. Mean age was 58 (SD 10) years, 62% (28/45) were women, and mean BMI was 30.1 (SD 4.6). Participant retention and study completion were 100%, with both the intervention and waitlist group achieving near-perfect attendance at all 7 intervention office visits. Groups receiving the PilAm Go4Health in phase 1 (intervention group) and phase 2 (waitlist group) had significantly greater weight loss, -2.6% (-3.9 to -1.4) and -3.3% (-1.8 to -4.8), respectively, compared with the nonintervention group, resulting in a moderate to small effect sizes (d=0.53 and 0.37, respectively). In phase 1, 18% (4/22) of the intervention group achieved a 5% weight loss, whereas 82% (18/22) maintained or lost 2% to 5% of their weight and continued to maintain this weight loss in the 3-month follow-up. Other health outcomes, including waist circumference, BMI, and step counts, improved when each arm received the PilAm Go4Health, but the fasting glucose and HbA1c outcomes were mixed. CONCLUSIONS The PilAm Go4Health was feasible and demonstrated potential efficacy in reducing diabetes risks in overweight Filipino Americans with T2D. This study supports the use of mHealth and other promising intervention strategies to reduce obesity and diabetes risks in Filipino Americans. Further testing in a full-scale RCT is warranted. These findings may support intervention translation to reduce diabetes risks in other at-risk diverse populations. TRIAL REGISTRATION Clinicaltrials.gov NCT02290184; https://clinicaltrials.gov/ct2/show/NCT02290184 (Archived by WebCite at http://www.webcitation.org/6vDfrvIPp).
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Affiliation(s)
- Melinda S Bender
- Family Health Care Nursing Department, School of Nursing, University of California San Francisco, San Francisco, CA, United States
| | - Bruce A Cooper
- Office of the Dean and Administration, School of Nursing, University of California San Francisco, San Francisco, CA, United States
| | - Linda G Park
- Community Health Services, School of Nursing, University of California San Francisco, San Francisco, CA, United States
| | - Sara Padash
- School of Nursing, University of San Francisco, San Francisco, CA, United States
| | - Shoshana Arai
- Family Health Care Nursing Department, School of Nursing, University of California San Francisco, San Francisco, CA, United States
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16
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Zomer E, Gurusamy K, Leach R, Trimmer C, Lobstein T, Morris S, James WPT, Finer N. Interventions that cause weight loss and the impact on cardiovascular risk factors: a systematic review and meta-analysis. Obes Rev 2016; 17:1001-11. [PMID: 27324830 DOI: 10.1111/obr.12433] [Citation(s) in RCA: 150] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 04/27/2016] [Accepted: 05/09/2016] [Indexed: 02/03/2023]
Abstract
Overweight and obesity increase the risks of diabetes and cardiovascular disease (CVD). This has been shown to be reversed with weight loss. A systematic review and meta-analysis were performed to determine the effect of weight loss in the primary prevention of CVD. PubMed, Embase and the Cochrane Library databases were searched electronically through to May 2013. Randomized controlled trials assessing weight loss and cardiovascular risk factors and outcomes were included. A random effects meta-analysis, with sub-group analyses for degree of weight loss, and age were performed. Because few studies reported clinical outcomes of CVD, analyses were limited to cardiovascular risk factors (83 studies). Interventions that caused any weight loss significantly reduced systolic blood pressure (-2.68 mmHg, 95% CI -3.37, -2.11), diastolic blood pressure (-1.34 mmHg, 95% CI -1.71, -0.97), low-density lipoprotein cholesterol (-0.20 mmol L(-1) , 95% CI -0.29, -0.10), triglycerides (-0.13 mmol L(-1) , 95% CI -0.22, -0.03), fasting plasma glucose (-0.32 mmol L(-1) , 95% CI -0.43, -0.22) and haemoglobin A1c(-0.40%, 95% CI -0.52, -0.28) over 6-12 months. Significant changes remained after 2 years for several risk factors. Similar results were seen in sub-group analyses. Interventions that cause weight loss are effective at improving cardiovascular risk factors at least for 2 years. © 2016 World Obesity.
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Affiliation(s)
- E Zomer
- World Obesity Federation (formerly the International Association for the Study of Obesity), London, UK. .,University College London, London, UK.
| | | | - R Leach
- World Obesity Federation (formerly the International Association for the Study of Obesity), London, UK
| | - C Trimmer
- World Obesity Federation (formerly the International Association for the Study of Obesity), London, UK
| | - T Lobstein
- World Obesity Federation (formerly the International Association for the Study of Obesity), London, UK
| | - S Morris
- University College London, London, UK
| | - W P T James
- World Obesity Federation (formerly the International Association for the Study of Obesity), London, UK.,London School of Hygiene and Tropical Medicine, London, UK
| | - N Finer
- World Obesity Federation (formerly the International Association for the Study of Obesity), London, UK.,University College London, London, UK
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Abstract
BACKGROUND Early identification of participants at risk of run-in failure (RIF) may present opportunities to improve trial efficiency and generalizability. METHODS We conducted a partial factorial-design, randomized, controlled trial of calcium and vitamin D to prevent colorectal adenoma recurrence at 11 centers in the United States. At baseline, participants completed two self-administered questionnaires (SAQs) and a questionnaire administered by staff. Participants in the full factorial randomization (calcium, vitamin D, both, or neither) received a placebo during a 3-month single-blinded run-in; women electing to take calcium enrolled in a two-group randomization (calcium with vitamin D, or calcium alone) and received calcium during the run-in. Using logistic regression models, we examined baseline factors associated with RIF in three subgroups: men (N = 1606) and women (N = 301) in the full factorial randomization and women in the two-group randomization (N = 666). RESULTS Overall, 314/2573 (12 %) participants failed run-in; 211 (67 %) took fewer than 80 % of their tablets (poor adherence), and 103 (33 %) withdrew or were uncooperative. In multivariable models, 8- to 13-fold variation was seen by study center in odds of RIF risk in the two largest groups. In men, RIF decreased with age (adjusted odds ratio [OR] per 5 years 0.85 [95 % confidence interval, CI; 0.76-0.96]) and was associated with being single (OR 1.65 [95 % CI; 1.10-2.47]), not graduating from high school (OR 2.77 [95 % CI; 1.58-4.85]), and missing SAQ data (OR 1.97 [1.40-2.76]). Among women, RIF was associated primarily with health-related factors; RIF risk was lower with higher physical health score (OR 0.73 [95 % CI; 0.62-0.86]) and baseline multivitamin use (OR 0.44 [95 % CI; 0.26-0.75]). Women in the 5-year colonoscopy surveillance interval were at greater risk of RIF than those with 3-year follow-up (OR 1.91 [95 % CI; 1.08-3.37]), and the number of prescription medicines taken was also positively correlated with RIF (p = 0.03). Perceived toxicities during run-in were associated with 12- to 29-fold significantly increased odds of RIF. CONCLUSIONS There were few common baseline predictors of run-in failure in the three randomization groups. However, heterogeneity in run-in failure associated with study center, and missing SAQ data reflect potential opportunities for intervention to improve trial efficiency and retention. TRIAL REGISTRATION ClinicalTrials.gov: NCT00153816 . Registered September 2005.
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18
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Dawson JA, Kaiser KA, Affuso O, Cutter GR, Allison DB. Rigorous control conditions diminish treatment effects in weight loss-randomized controlled trials. Int J Obes (Lond) 2015; 40:895-8. [PMID: 26449419 DOI: 10.1038/ijo.2015.212] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 09/14/2015] [Accepted: 09/20/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND It has not been established whether control conditions with large weight losses (WLs) diminish expected treatment effects in WL or prevention of weight gain (PWG)-randomized controlled trials (RCTs). SUBJECTS/METHODS We performed a meta-analysis of 239 WL/PWG RCTs that include a control group and at least one treatment group. A maximum likelihood meta-analysis framework was used to model and understand the relationship between treatment effects and control group outcomes. RESULTS Under the informed model, an increase in control group WL of 1 kg corresponds with an expected shrinkage of the treatment effect by 0.309 kg (95% confidence interval (-0.480, -0.138), P=0.00081); this result is robust against violations of the model assumptions. CONCLUSIONS We find that control conditions with large WLs diminish expected treatment effects. Our investigation may be helpful to clinicians as they design future WL/PWG studies.
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Affiliation(s)
- J A Dawson
- Department of Nutritional Sciences, College of Human Sciences, Texas Tech University, Lubbock, TX, USA
| | - K A Kaiser
- Office of Energetics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.,Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - O Affuso
- Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - G R Cutter
- Section on Research Methods and Clinical Trials, Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - D B Allison
- Office of Energetics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.,Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
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Fukuoka Y, Gay C, Haskell W, Arai S, Vittinghoff E. Identifying Factors Associated With Dropout During Prerandomization Run-in Period From an mHealth Physical Activity Education Study: The mPED Trial. JMIR Mhealth Uhealth 2015; 3:e34. [PMID: 25872754 PMCID: PMC4411363 DOI: 10.2196/mhealth.3928] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 01/20/2015] [Accepted: 02/07/2015] [Indexed: 01/11/2023] Open
Abstract
Background The mobile phone-based physical activity education (mPED) trial is a randomized controlled trial (RCT) evaluating a mobile phone-delivered physical activity intervention for women. The study includes a run-in period to maximize the internal validity of the intervention trial, but little is known about factors related to successful run-in completion, and thus about potential threats to external validity. Objective Objectives of this study are (1) to determine the timing of dropout during the run-in period, reasons for dropout, optimum run-in duration, and relevant run-in components, and (2) to identify predictors of failure to complete the run-in period. Methods A total of 318 physically inactive women met preliminary eligibility criteria and were enrolled in the study between May 2011 and April 2014. A 3-week run-in period was required prior to randomization and included using a mobile phone app and wearing a pedometer. Cross-sectional analysis identified predictors of dropout. Results Out of 318 participants, 108 (34.0%) dropped out prior to randomization, with poor adherence using the study equipment being the most common reason. Median failure time was 17 days into the run-in period. In univariate analyses, nonrandomized participants were younger, had lower income, were less likely to drive regularly, were less likely to have used a pedometer prior to the study, were generally less healthy, had less self-efficacy for physical activity, and reported more depressive symptoms than randomized participants. In multivariate competing risks models, not driving regularly in the past month and not having used a pedometer prior to the study were significantly associated with failure to be randomized (P=.04 and .006, respectively), controlling for age, race/ethnicity, education, shift work, and use of a study-provided mobile phone. Conclusions Regular driving and past pedometer use were associated with reduced dropout during the prerandomization run-in period. Understanding these characteristics is important for identifying higher-risk participants, and implementing additional help strategies may be useful for reducing dropout. Trial Registration ClinicalTrials.gov NCT01280812; https://clinicaltrials.gov/ct2/show/NCT01280812 (Archived by WebCite at http://www.webcitation.org/6XFC5wvrP).
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Affiliation(s)
- Yoshimi Fukuoka
- Institute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
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Sainsbury A, Evans IR, Wood RE, Seimon RV, King NA, Hills AP, Byrne NM. Effect of a 4-week weight maintenance diet on circulating hormone levels: implications for clinical weight loss trials. Clin Obes 2015; 5:79-86. [PMID: 25645138 DOI: 10.1111/cob.12086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2014] [Revised: 11/11/2014] [Accepted: 12/10/2014] [Indexed: 11/28/2022]
Abstract
The majority of weight loss studies fail to standardize conditions such as diet and exercise via a weight maintenance period prior to commencement of the trial. This study aimed to determine whether a weight stabilization period is necessary to establish stable baseline hormone concentrations. Fifty-one obese male participants with a body mass index of 30-40 kg m(-2) and aged 25-54 years underwent 4 weeks on an energy balance diet that was designed to achieve weight stability. Blood samples were collected in the fasting state at commencement and completion of the 4-week period, and circulating concentrations of 18 commonly measured hormones were determined. During the 4-week weight maintenance period, participants achieved weight stability within -1.5 ± 0.2 kg (-1.4 ± 0.2%) of their initial body weight. Significant reductions in serum insulin (by 18 ± 6.5%) and leptin (by 21 ± 6.0%) levels occurred, but no significant changes were observed for gut-derived appetite-regulating hormones (ghrelin and peptide YY), nor thyroid, adrenal, gonadal or somatotropic hormones. There were no significant correlations between the change in body weight and the change in circulating concentrations of insulin or leptin over the 4-week period, indicating that the observed changes were not due to weight loss, albeit significant negative correlations were observed between the changes in body weight and plasma ghrelin and peptide YY levels. This study demonstrates the need for baseline weight maintenance periods to stabilize serum levels of insulin and leptin in studies specifically investigating effects on these parameters in the obese. However, this does not apply to circulating levels of gut-derived appetite-regulating hormones (ghrelin and peptide YY), nor thyroid, adrenal, gonadal or somatotropic hormones.
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Affiliation(s)
- A Sainsbury
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, The University of Sydney, Camperdown, Australia; Neuroscience Research Program, Garvan Institute of Medical Research, Darlinghurst, Australia
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