Citations

It has been estimated that two-thirds of the world population have thyroid nodules, 1 and their incidence increases with age. 2 While most are benign, 1 the incidence of thyroid cancer has increased substantially worldwide over the last four decades. 3 Therefore, there is a need for reliable methods of thyroid nodule evaluation. Fine-needle biopsy with cytologic evaluation remains the standard diagnostic test to distinguish benign from malignant thyroid nodules but has a number of limitations, including its inability to identify aggressive tumors. 4 In an expert interview, Dr Hossein Gharib of the Mayo Clinic College of Medicine, Rochester, MN, discusses the need for molecular testing in thyroid cancer.

Background: The Afirma ® Gene Expression Classifier (GEC) risk stratifies The Bethesda System for the Reporting of Thyroid Cytopathology class III/IV (indeterminate) thyroid nodules (ITNs) as suspicious for malignancy or benign. Several authors have published studies describing the diagnostic accuracy of the GEC. However, the quality of these methods has not been rigorously examined. Summary: In this study, MEDLINE and EMBASE were searched for studies published between January 1, 2010, and June 30, 2016, examining the sensitivity, specificity, negative predictive value, and positive predictive value of the GEC. The Quality of Diagnostic Accuracy Studies 2 was customized to evaluate the methods of included studies in each of four domains: nodule selection, index test execution, reference standard assignment, and flow and timing. Signaling questions were used to identify sources of potential bias in calculation of diagnostic accuracy, and issues of applicability were assessed. Three panelists applied the Quality of Diagnostic Accuracy Studies 2 tool to each study included, and divergence was resolved in conference. In 12 studies evaluated, the most common methodologic flaw was lack of reference standard diagnosis assignment to un-excised GEC-benign ITNs. Exclusion of these ITNs from the analyses resulted in unreliable estimates of specificity and negative predictive value. Other flaws identified included restriction to ITNs that had already been selected for referral for thyroidectomy or lobectomy. Conclusions: Future studies should define and assign a “true negative” label to GEC-benign nodules that do not develop malignant signs or symptoms during a pre-specified period of follow-up, and these nodules should be included in calculations of diagnostic accuracy.

Background: The best treatment option for patients with Graves' disease (GD) depends on each person's situation and how the differences between the treatment options matter to them in bringing resolution to their illness. The objective of this study was to develop and test an encounter decision tool (GD Choice) for patients and clinicians to engage in shared decision making about the treatment of GD. Methods: GD Choice was developed using an iterative process based on the principles of interaction design and participatory action research. To evaluate the impact of the tool, a controlled before–after study was conducted, assessing the use of GD Choice versus usual care (UC). Results: Sixty-eight patients were enrolled, 37 to UC and 31 to GD Choice. At baseline, the groups were similar. Treatment discussion length was similar in both arms. After their visit, patients in both groups had similar knowledge about the options, except for GD Choice patients knowing significantly more about the complications of treatment (correctly answered by 83% vs. 55%; p = 0.04). Compared with UC, patients in the GD Choice arm had greater involvement in decision making observed on video recordings of clinical encounters (mean OPTION scale score, 35% vs. 30%; p = 0.02), but reported similar levels of decisional comfort and participation in shared decision making. Conclusions: GD Choice increases engagement in the decision-making process and knowledge regarding intervention complications without increasing the length of consultation. These promising results support the conduct of a randomized trial of GD Choice versus UC in a large multicenter trial.