Bayesian Network Meta-Analysis of Targeted Therapies for Advanced Thyroid Cancer

A systematic review and Bayesian network meta-analysis of 9 randomized controlled trials involving 1,760 patients with metastatic or advanced radioiodine-refractory differentiated thyroid cancer. The analysis, conducted by Pin Wang and published on figshare in 2026, compares the efficacy and safety of targeted therapies like lenvatinib, anlotinib, apatinib, and cabozantinib. Primary outcomes measured include progression-free survival, overall survival, objective response rate, and adverse events.

Use Cases

• Compare the relative efficacy of targeted therapies for RAIR-DTC based on progression-free survival hazard ratios.
• Rank treatments by safety profile using the reported Surface Under the Cumulative Ranking curve (SUCRA) values for adverse events.
• Analyze time-dependent efficacy patterns of tyrosine kinase inhibitors based on the described waning benefit of apatinib after 6-9 months.
• Validate Bayesian network meta-analysis methodologies using the reported hazard ratios and odds ratios with 95% credible intervals.

Strengths

• Analysis is based on 9 randomized controlled trials, a standard for high-quality clinical evidence.
• Includes data from 1,760 patients, providing a substantial sample for meta-analysis.
• Reports specific statistical results, including hazard ratios ranging from 3.85 to 5.36 for PFS and an odds ratio of 143.18 for ORR with lenvatinib.
• Uses Bayesian network meta-analysis, a sophisticated statistical method for comparing multiple treatments indirectly.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 25.7 KB, indicating it likely contains summary results rather than patient-level data.

Provenance

Source

Pin Wang via figshare.

Collection Method

Systematic search of six electronic databases and subsequent Bayesian network meta-analysis of identified randomized controlled trials.

Freshness

Last updated 2026-03-18 07:35:12; freshness should be verified.