Article ; Online: Which Localizing Strategy is the Most Cost-Effective in Reoperative Primary Hyperparathyroidism?
The Journal of surgical research
2024 Volume 296, Page(s) 547–555
Abstract: Introduction: 2%-10% of patients with primary hyperparathyroidism (PHPT) who undergo parathyroidectomy develop persistent/recurrent disease. The aim of this study was to determine which preoperative localization method is most cost-effective in ... ...
Abstract | Introduction: 2%-10% of patients with primary hyperparathyroidism (PHPT) who undergo parathyroidectomy develop persistent/recurrent disease. The aim of this study was to determine which preoperative localization method is most cost-effective in reoperative PHPT. Methods: Clinical decision analytic models comparing cost-effectiveness of localizing studies in reoperative PHPT were constructed using TreeAge Pro. Cost and probability assumptions were varied via Probabilistic Sensitivity Analysis (PSA) to test the robustness of the base case models. Results: Base case analysis of model 1 revealed ultrasound (US)-guided fine-needle aspiration with PTH assay as most cost-effective after localizing US. This was confirmed on PSA of model 1. Model 2 showed four-dimensional computed tomography (4D-CT) as most cost-effective after negative US. If not localized by US, on PSA, 4D-CT was the next most cost-effective test. Conclusions: US-guided FNA with PTH is the most cost-effective confirmatory test after US localization. 4D-CT should be considered as the next best test after negative US. |
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MeSH term(s) | Humans ; Hyperparathyroidism, Primary/surgery ; Cost-Benefit Analysis ; Technetium Tc 99m Sestamibi ; Parathyroidectomy ; Four-Dimensional Computed Tomography/methods ; Parathyroid Glands/surgery |
Chemical Substances | Technetium Tc 99m Sestamibi (971Z4W1S09) |
Language | English |
Publishing date | 2024-02-09 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 80170-7 |
ISSN | 1095-8673 ; 0022-4804 |
ISSN (online) | 1095-8673 |
ISSN | 0022-4804 |
DOI | 10.1016/j.jss.2024.01.015 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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