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Are American follow-up recommendations in endocrinology actionable? A systematic review of clinical practice
Francisco J Barrera1,2,3, Karina Raygoza-Cortez2, Mariana García-Leal2
1Endocrinology Division, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.
Purpose:
Clinical guidelines include recommendations to guide patient's longitudinal care. These recommendations may differ in content and quality of supporting evidence from those guiding diagnosis and treatment. We aimed to identify recommendations guiding the follow-up of patients with endocrine conditions, describe their content and quality of evidence.
Methods:
We systematically assessed the Endocrine Society and the American Thyroid Association clinical guidelines and identified recommendations guiding follow-up strategies to evaluate direction, content, strength, and quality of evidence.
Results:
Out of 1540 recommendations, 138(8.9%) guided follow-up strategies. From these, 109 (79%) recommendations included goal of follow-up, 121(97.7%) suggested follow-up methods, and 56 (40.6%) a specific monitoring frequency. A total of 76 (55.1%) assessed treatment response, 65 (47.1%) disease progression, and 30 (21.7%) side effects. A total of 90 (65.2%) described the use of laboratory studies, 30 (21.7%) clinical exam/history, and 27 (19.6%) imaging studies. Finally, 91 (65.9%) suggested a monitoring time interval and 42 (30.4%) directed an action based on results. Most recommendations [88 (55.3%)] were based on low/very low-quality evidence. A total of 73 (52.9%) recommendations were labeled as strong, from which 12% were based on high-quality evidence.
Conclusions:
One out of ten clinical recommendations for endocrine conditions guide follow-up and their content is variable. More than half of the follow-up recommendations are supported by low/very low-quality evidence and the majority does not provide an action threshold. A specific framework for developing follow-up recommendations can aid guideline panelists and support evidence-based monitoring.
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