A Bayesian network meta-analysis: evaluating the efficacy and safety of targeted therapies in metastatic or advanced radioiodine-refractory differentiated thyroid cancer
Pin Wang, Ling Li, Ying Liu, Yushuya Shi, Xiangyu Zhang, Jian Wu

TL;DR
This study compares the effectiveness and safety of different drugs for advanced thyroid cancer resistant to radioiodine, finding lenvatinib as the most promising option.
Contribution
A Bayesian network meta-analysis identifies lenvatinib as the top treatment for progression-free survival and response rate in radioiodine-refractory thyroid cancer.
Findings
Lenvatinib showed the highest progression-free survival and objective response rate among tested drugs.
Apatinib had early benefits but lost efficacy over time and ranked highest for safety.
No drug significantly improved overall survival compared to placebo.
Abstract
Approximately 5%–10% of patients with differentiated thyroid cancer (DTC) develop resistance to radioactive iodine (RAI), leading to unsatisfactory survival rates. The optimal medication for advanced or metastatic RAI-resistant differentiated thyroid cancer (RAIR-DTC) remains unclear. We conducted a Bayesian network meta-analysis based on a systematic search of six electronic databases. The primary outcome was progression-free survival (PFS); secondary outcomes included overall survival (OS), objective response rate (ORR), and grade ≥3 adverse events (AEs). Hazard ratios (HRs) with 95% credible intervals (CrIs) were used for time-to-event outcomes, while odds ratios (ORs) with 95% CrIs were used for binary outcomes. A separate Bayesian network meta-analysis was performed for each endpoint. Our study included 9 RCTs involving 1,760 patients with RAIR-DTC. Lenvatinib, anlotinib,…
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Taxonomy
TopicsThyroid Cancer Diagnosis and Treatment · Renal cell carcinoma treatment · Management of metastatic bone disease
