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. Author manuscript; available in PMC: 2014 Dec 1.
Published in final edited form as: JAMA Intern Med. 2014 Feb 1;174(2):179–180. doi: 10.1001/jamainternmed.2013.12971

The 2013 American Association of Clinical Endocrinologists’ Diabetes Mellitus Management Recommendations

Improvements Needed

Michael R Gionfriddo 1, Rozalina G McCoy 2, Kasia J Lipska 3
PMCID: PMC4248352  NIHMSID: NIHMS644635  PMID: 24322834

For more than 20 years, the American Association of Clinical Endocrinologists (AACE) has been an authoritative source of advocacy and expertise in endocrinology. In line with its mission, the AACE recently introduced an update to their 2009 diabetes mellitus (DM) management algorithm,1 issuing an algorithm (April 2013),2 followed by a consensus statement (July2013).3

Management recommendations can be useful if they are based on evidence, developed through a readily understood process, and respectful of patients’ life circumstances and goals. A process that is easily understood is essential for physicians; other health care providers, such as physician assistants, nurse practitioners, and pharmacists; and patients to adequately judge the validity of management recommendations. Inclusion of patients’ values and preferences is important if the recommendations are to inform patient-centered care. In our view, the AACE’s DM algorithm and consensus statement do not meet these expectations and should not be used to guide clinical care in their current form.

Algorithms and clinical guidelines should offer an assessment of the likely benefits and harms of treatments, and evaluate the quality of all of the relevant literature. The Institute of Medicine (IOM) has therefore proposed 8 standards for developing clinical practice guidelines to ensure “scientifically valid, transparent, and reproducible results.”4(p4) Although the AACE’s algorithm and consensus statement were not explicitly labeled as “guidelines,” they were “developed to provide clinicians with a practical guide”3(p3) to the management of type 2 DM, making them subject to the same general principles. The algorithm and consensus statement fall short on several of the 8 IOM standards. We are particularly concerned about the following.

Standard 1: Establishing Transparency

Users of guidelines should understand how recommendations were developed and who was involved.4 Although the AACE’s consensus statement includes references to systematic reviews, there is no explicit statement of how evidence, expertise, and values were considered in determining the recommendations, whether by a systematic review of the literature or a systematic process of consensus. In addition, there is no information on how the development of the consensus statement was funded. In particular, users might want to know whether parties that could benefit from the recommendations directly, or indirectly, underwrote the salaries of AACE staff, the meetings of the panel, or other expenses. Without adequate disclosure of funding sources, users are unable to judge whether the recommendations were developed based on the best available evidence and are free from avoidable bias.

Standard 2: Management of Conflict of Interest

Users of guidelines should have confidence that patients’ needs and scientific evidence served as the basis for the proposed recommendations. The IOM therefore recommended that the authors of guidelines report and eliminate or reduce their financial conflicts of interest4 because financial relationships may consciously or unconsciously influence behavior and recommendations.47 Members with financial conflicts of interest should represent a minority of the group that develops a guideline, with the chair of the group having no such conflicts.

In the consensus statement, the AACE panel members reported their financial relationships. Public records show that between 2009 and 2012, 16 of the 19 members of the group had financial associations of more than $100 with industry (range, $2600–$488 000).8 Seven task force members, including the chair, had financial relationships of more than $250 000. Many of the financial associations were with companies that sell DM medications that figure prominently in the algorithm and consensus statement. It is impossible to know the specific effects of these relationships on the development of the recommendations. Nonetheless, these substantial financial conflicts of interest may undermine users’ trust.4

Standard 3: Guideline Development Group Composition

To address the needs of clinicians and patients, the guideline group should be balanced, multidisciplinary, and include a patient, patient advocate, or patient-consumer organization representative.4 Primary care physicians care for most patients with type 2 DM9 and are the primary intended users of the algorithm and consensus statement. However, 18 of the 19 members of the AACE panel were endocrinologists; a cardiologist was the sole nonendocrinologist.

Admittedly, patient engagement in the development of guidelines is not yet widespread. However, such engagement might have improved several aspects of the AACE’s algorithm and consensus statement, as these documents do not fully address the challenges of being a patient with DM. Panel members acknowledged the need to individualize treatments and to consider the patient as a whole. However, neither assessment of the patient’s values and preferences nor shared decision making were explicitly discussed in either document. Patient context, goals, values, and preferences play a prominent role in patient-centered care and guide the selection of medications to treat hyperglycemia. Given the lack of comparative effectiveness data for long-term clinical outcomes in DM, therapeutic decisions are often based on short-term side effect profiles, safety, cost, treatment burden, and expected glucose reduction. The panel chose to emphasize 3 adverse effects of antihyperglycemic agents: hypoglycemia, weight gain, and cardiovascular morbidity. Although these adverse effects are important, other aspects of treatment may be more consequential for particular patients, such as flexibility and intensity of treatment regimens, gastrointestinal tract intolerance, cost, and other attributes that may affect quality of life. Some patients, in fact, prioritize medication cost and the burden and intensity of treatment over efficacy.

Standard 5: Establishing Evidence Foundations for and Rating the Strength of Recommendations

Users of guidelines should understand how the evidence was derived and the level of confidence for each recommendation.4 Neither the algorithm nor the consensus statement included a rating of the task force’s confidence in the evidence supporting each recommendation. A table rating the level of confidence in the evidence and the strength of each recommendation, in accordance with the Grading of Recommendations Assessment, Development and Evaluation Working Group’s framework,10 would have clarified which steps in the algorithm are based on high-quality, complete, and consistent data. This is particularly important given the paucity of data that directly compare antidiabetic agents, define the optimal glycemic control targets, and allow for individualization of treatment based on clinical characteristics. In addition, the users of these recommendations would benefit from greater insight into how the panel weighed the benefits and potential harms, costs, burden, and inconveniences of the recommended therapies and interventions. For patients with DM, treatment burden and cost are often important considerations, and sometimes the most important considerations. For medications to have a chance to benefit patients, they have to be able to afford them, to obtain them, and to be willing and able to take them.

Conclusions

Guidelines and algorithms are important tools that can help physicians, physician assistants, nurse practitioners, and pharmacists deliver effective care to their patients. A multidisciplinary panel with independent funding and with members who have no substantial financial and intellectual conflicts of interest is essential, as is an explicit and readily understandable development process that clearly incorporates patients’ values and preferences into recommendations.

Acknowledgments

Funding/Support: Dr Gionfriddo is currently supported by Clinical and Translational Science Award grant No. TL1 TR000137 from the National Center for Advancing Translational Science. Dr Lipska is currently supported by the Pepper Center Career Development Award (P30 AG21342) and the Grants for Early Medical/Surgical Specialists’ Transition to Aging Research (R03 AG045086) from the National Institute on Aging.

Role of the Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Footnotes

Author Contributions: Drs Gionfriddo, McCoy, and Lipska contributed to the concepts and structure of the manuscript.

Conflict of Interest Disclosures: All authors have completed the Unified Competing Interest form at http://www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare the following: Dr Gionfriddo is part of the Knowledge and Evaluation Research Unit, which contracts with nonprofit professional organizations and public agencies, including The Endocrine Society, to conduct systematic reviews and support the formulation of clinical practice guidelines. Dr Lipska reports blogging for Medscape from scientific meetings.

No other disclosures are reported.

Additional Contributions: Juan P. Brito, MBBS, and Victor M. Montori, MD, MSc, of the Knowledge and Evaluation Research Unit and the Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic; Graham T. McMahon, MD, MMSc, of Harvard Medical School, Boston, Massachusetts, and James P. McCormack, PharmD, of the Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada, contributed to the development of this manuscript. The contributors received no compensation for their input.

Disclaimer: This article’s contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.

Contributor Information

Michael R. Gionfriddo, Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota, and Mayo Graduate School, Mayo Clinic, Rochester, Minnesota.

Rozalina G. McCoy, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, Minnesota.

Kasia J. Lipska, Section of Endocrinology, Yale School of Medicine, New Haven, Connecticut.

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