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Lubitz, Carrie C.

Mayo Clinic

Massachusetts General Hospital

Citations 2

American Association of Clinical Endocrinology And Associazione Medici Endocrinologi Thyroid Nodule Algorithmic Tool
Garber, Jeffrey R., Lupo, Mark A. , Harrell, R. Mack, Parangi, Sareh , Patkar, Vivek, Hegedüs, László , Lubitz, Carrie C., Paschke, Ralf, Guglielmi, Rinaldo, Lombardi, Celestino Pio, Gharib, Hossein, Papini, Enrico , Frasoldati, Andrea , Baloch, Zubair , Pessah‐Pollack, Rachel , Crescenzi, Anna , Paschke, Ralf , Randolph, Gregory William

Endocrine, Metabolic & Immune Disorders - Drug Targets | January 4, 2022 | Volume: 21 | Issue: 11 | Pages: 2104-2115

10.2174/187153032111211230225617 Get It

<P>Objective: The first edition of the American Association of Clinical Endocrinology/American College of Endocrinology/Associazione Medici Endocrinologi Guidelines for the Diagnosis and Management of Thyroid Nodules was published in 2006 and updated in 2010 and 2016. The American Association of Clinical Endocrinology/American College of Endocrinology/Associazione Medici Endocrinologi multidisciplinary thyroid nodules task force was charged with developing a novel interactive electronic algorithmic tool to evaluate thyroid nodules. <P> Methods: The Thyroid Nodule App (termed TNAPP) was based on the updated 2016 clinical practice guideline recommendations while incorporating recent scientific evidence and avoiding unnecessary diagnostic procedures and surgical overtreatment. This manuscript describes the algorithmic tool development, its data requirements, and its basis for decision making. It provides links to the web-based algorithmic tool and a tutorial. <P> Results: TNAPP and TI-RADS were cross-checked on 95 thyroid nodules with histology-proven diagnoses. <P> Conclusion: TNAPP is a novel interactive web-based tool that uses clinical, imaging, cytologic, and molecular marker data to guide clinical decision making to evaluate and manage thyroid nodules. It may be used as a heuristic tool for evaluating and managing patients with thyroid nodules. It can be adapted to create registries for solo practices, large multispecialty delivery systems, regional and national databases, and research consortiums. Prospective studies are underway to validate TNAPP to determine how it compares with other ultrasound-based classification systems and whether it can improve the care of patients with clinically significant thyroid nodules while reducing the substantial burden incurred by those who do not benefit from further evaluation and treatment.</P>
A Meta-Analysis of the Association Between Radiation Therapy and Survival for Surgically Resected Soft-Tissue Sarcoma
Qu, Xuanlu , Lubitz, Carrie C., Rickard, Jennifer , Bergeron, Stephane G. , Wasif, Nabil

American Journal of Clinical Oncology | February 17, 2016 | Volume: 41 | Issue: 4 | Pages: 348-356

10.1097/coc.0000000000000274 Get It

Objectives: Radiotherapy for soft-tissue sarcoma (STS) has been shown to reduce local recurrence, but without clear improvement in survival. We conducted a meta-analysis to study the association between radiotherapy and survival in patients undergoing surgery for STS. Methods: A systematic review was conducted from PubMed, EMBASE, Web of Science, and Cochrane databases. Our population of interest consisted of adults with primary extremity, chest wall, trunk, or back STS. Our metameters were either an odds or hazard ratio for mortality. A bias score was generated for each study based on margin status and grade. Results: Of 1044 studies, 30 met inclusion criteria for final analysis. The pooled odds ratio in patients receiving radiation was 0.94 (95% confidence interval [CI], 0.78-1.14). The pooled estimate of the hazards ratio in patients receiving radiation was 0.87 (95% CI, 0.73-1.03) overall and 0.65 (95% CI, 0.52-0.82) for studies judged to be at low risk of bias. Significant publication bias was not seen. Conclusions: High-quality studies reporting adjusted hazard ratios are associated with improved survival in patients receiving radiotherapy for STS. Studies in which odds ratios are calculated from event data and those that do not report adjusted outcomes do not show the same association, likely due to confounding by indication.