Literature DB >> 19737845

Constructing common cohorts from trials with overlapping eligibility criteria: implications for comparing effect sizes between trials.

David L Mount1, Patricia Feeney, Anthony N Fabricatore, Mace Coday, Judy Bahnson, Robert Byington, Suzanne Phelan, Sharon Wilmoth, William C Knowler, Irene Hramiak, Kwame Osei, Mary Ellen Sweeney, Mark A Espeland.   

Abstract

BACKGROUND: Comparing findings from separate trials is necessary to choose among treatment options, however differences among study cohorts may impede these comparisons.
PURPOSE: As a case study, to examine the overlap of study cohorts in two large randomized controlled clinical trials that assess interventions to reduce risk of major cardiovascular disease events in adults with type 2 diabetes in order to explore the feasibility of cross-trial comparisons
METHODS: The Action for Health in Diabetes (Look AHEAD) and The Action to Control Cardiovascular Risk in Diabetes (ACCORD) trials enrolled 5145 and 10,251 adults with type 2 diabetes, respectively. Look AHEAD assesses the efficacy of an intensive lifestyle intervention designed to produce weight loss; ACCORD tests pharmacological therapies for control of glycemia, hyperlipidemia, and hypertension. Incidence of major cardiovascular disease events is the primary outcome for both trials. A sample was constructed to include participants from each trial who appeared to meet eligibility criteria and be appropriate candidates for the other trial's interventions. Demographic characteristics, health status, and outcomes of members and nonmembers of this constructed sample were compared.
RESULTS: Nearly 80% of Look AHEAD participants were projected to be ineligible for ACCORD; ineligibility was primarily due to better glycemic control or no early history of cardiovascular disease. Approximately 30% of ACCORD participants were projected to be ineligible for Look AHEAD, often for reasons linked to poorer health. The characteristics of participants projected to be jointly eligible for both trials continued to reflect differences between trials according to factors likely linked to retention, adherence, and study outcomes. LIMITATIONS: Accurate ascertainment of cross-trial eligibility was hampered by differences between protocols.
CONCLUSIONS: Despite several similarities, the Look AHEAD and ACCORD cohorts represent distinct populations. Even within the subsets of participants who appear to be eligible and appropriate candidates for trials of both modes of intervention, differences remained. Direct comparisons of results from separate trials of lifestyle and pharmacologic interventions are compromised by marked differences in enrolled cohorts.

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Year:  2009        PMID: 19737845      PMCID: PMC3254056          DOI: 10.1177/1740774509344440

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  26 in total

Review 1.  Cost effectiveness of cardiovascular disease prevention strategies: a perspective on EU food based dietary guidelines.

Authors:  E Brunner; D Cohen; L Toon
Journal:  Public Health Nutr       Date:  2001-04       Impact factor: 4.022

2.  Repeat participation among normal healthy research volunteers: professional guinea pigs in clinical trials?

Authors:  Carl L Tishler; Suzanne Bartholomae
Journal:  Perspect Biol Med       Date:  2003       Impact factor: 1.416

3.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

4.  Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.

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Journal:  Diabetes Care       Date:  1997-07       Impact factor: 19.112

Review 5.  What interventions should we add to weight reducing diets in adults with obesity? A systematic review of randomized controlled trials of adding drug therapy, exercise, behaviour therapy or combinations of these interventions.

Authors:  A Avenell; T J Brown; M A McGee; M K Campbell; A M Grant; J Broom; R T Jung; W C S Smith
Journal:  J Hum Nutr Diet       Date:  2004-08       Impact factor: 3.089

6.  One-year weight losses in the Look AHEAD study: factors associated with success.

Authors:  Thomas A Wadden; Delia S West; Rebecca H Neiberg; Rena R Wing; Donna H Ryan; Karen C Johnson; John P Foreyt; James O Hill; Dace L Trence; Mara Z Vitolins
Journal:  Obesity (Silver Spring)       Date:  2009-01-29       Impact factor: 5.002

7.  Look AHEAD (Action for Health in Diabetes): design and methods for a clinical trial of weight loss for the prevention of cardiovascular disease in type 2 diabetes.

Authors:  Donna H Ryan; Mark A Espeland; Gary D Foster; Steven M Haffner; Van S Hubbard; Karen C Johnson; Steven E Kahn; William C Knowler; Susan Z Yanovski
Journal:  Control Clin Trials       Date:  2003-10

8.  Who says yes? Identifying selection biases in a psychosocial intervention study of multiple sclerosis.

Authors:  C E Schwartz; B H Fox
Journal:  Soc Sci Med       Date:  1995-02       Impact factor: 4.634

9.  Lowering blood pressure: a systematic review of sustained effects of non-pharmacological interventions.

Authors:  S Ebrahim; G D Smith
Journal:  J Public Health Med       Date:  1998-12

10.  Participation in clinical drug studies: motivations and barriers.

Authors:  K A Cunny; H W Miller
Journal:  Clin Ther       Date:  1994 Mar-Apr       Impact factor: 3.393

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  4 in total

1.  Systolic Blood Pressure Control Among Individuals With Type 2 Diabetes: A Comparative Effectiveness Analysis of Three Interventions.

Authors:  Mark A Espeland; Jeffery Probstfield; Donald Hire; J Bruce Redmon; Gregory W Evans; Mace Coday; Cora E Lewis; Karen C Johnson; Sharon Wilmoth; Judy Bahnson; Michael F Dulin; Jennifer B Green; William C Knowler; Abbas Kitabchi; Anne L Murillo; Kwame Osei; Shakaib U Rehman; William C Cushman
Journal:  Am J Hypertens       Date:  2015-02-09       Impact factor: 2.689

2.  System-Subsystem Dependency Network for Integrating Multicomponent Data and Its Application to Health Sciences.

Authors:  Edward H Ip; Shyh-Huei Chen; W Jack Rejeski
Journal:  J Healthc Inform Res       Date:  2017-07-07

3.  A quantitative proteomic approach to identify significantly altered protein networks in the serum of patients with lymphangioleiomyomatosis (LAM).

Authors:  Nessa Banville; Janette K Burgess; Jade Jaffar; Gavin Tjin; Luca Richeldi; Stefania Cerri; Elisa Persiani; Judith L Black; Brian G Oliver
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

4.  Reference compounds for alternative test methods to indicate developmental neurotoxicity (DNT) potential of chemicals: example lists and criteria for their selection and use.

Authors:  Michael Aschner; Sandra Ceccatelli; Mardas Daneshian; Ellen Fritsche; Nina Hasiwa; Thomas Hartung; Helena T Hogberg; Marcel Leist; Abby Li; William R Mundi; Stephanie Padilla; Aldert H Piersma; Anna Bal-Price; Andrea Seiler; Remco H Westerink; Bastian Zimmer; Pamela J Lein
Journal:  ALTEX       Date:  2016-07-25       Impact factor: 6.043

  4 in total

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