본문으로 건너뛰기
← 뒤로

A Bayesian network meta-analysis: evaluating the efficacy and safety of targeted therapies in metastatic or advanced radioiodine-refractory differentiated thyroid cancer.

메타분석 1/5 보강
Frontiers in oncology 📖 저널 OA 100% 2021: 15/15 OA 2022: 98/98 OA 2023: 60/60 OA 2024: 189/189 OA 2025: 1004/1004 OA 2026: 620/620 OA 2021~2026 2026 Vol.16() p. 1720670 OA
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
760 patients with RAIR-DTC.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
The time-dependent efficacy patterns of other TKIs warrant further investigation. [SYSTEMATIC REVIEW REGISTRATION] https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD420251089713, identifier CRD420251089713.

Wang P, Li L, Liu Y, Shi Y, Zhang X, Wu J

📝 환자 설명용 한 줄

[BACKGROUND] Approximately 5%-10% of patients with differentiated thyroid cancer (DTC) develop resistance to radioactive iodine (RAI), leading to unsatisfactory survival rates.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • OR 143.18
  • 연구 설계 meta-analysis

이 논문을 인용하기

↓ .bib ↓ .ris
APA Wang P, Li L, et al. (2026). A Bayesian network meta-analysis: evaluating the efficacy and safety of targeted therapies in metastatic or advanced radioiodine-refractory differentiated thyroid cancer.. Frontiers in oncology, 16, 1720670. https://doi.org/10.3389/fonc.2026.1720670
MLA Wang P, et al.. "A Bayesian network meta-analysis: evaluating the efficacy and safety of targeted therapies in metastatic or advanced radioiodine-refractory differentiated thyroid cancer.." Frontiers in oncology, vol. 16, 2026, pp. 1720670.
PMID 41836236 ↗

Abstract

[BACKGROUND] 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.

[METHODS] 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.

[RESULTS] Our study included 9 RCTs involving 1,760 patients with RAIR-DTC. Lenvatinib, anlotinib, apatinib, and cabozantinib all significantly improved PFS versus placebo (HRs: 3.85-5.36), with lenvatinib ranking first overall (SUCRA: 81.97%) and showing sustained benefit up to 24 months. Apatinib provided early PFS advantage but waning efficacy beyond 6-9 months. No treatment significantly improved OS, though apatinib consistently ranked highest for OS. Lenvatinib achieved the highest objective response rate (OR = 143.18; SUCRA: 82.09%). For grade ≥3 adverse events, no treatment differed significantly from placebo; however, apatinib ranked highest in safety (SUCRA = 93.16%).

[CONCLUSION] Lenvatinib demonstrates the greatest benefit in both PFS and ORR among the evaluated TKIs for RAIR-DTC, suggesting it as a potential preferred first-line option. The time-dependent efficacy patterns of other TKIs warrant further investigation.

[SYSTEMATIC REVIEW REGISTRATION] https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD420251089713, identifier CRD420251089713.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (5)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

🟢 PMC 전문 열기