A proposed clinical scoring system for initiation of lenvatinib treatment in radioiodine-refractory thyroid cancer patients.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
59 patients were analyzed; 13 low-risk, 36 intermediate-risk, and 10 high-risk.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] Our proposed scoring system can separate treatment outcomes and prognosis of RR-DTC patients treated with lenvatinib. This simple algorithm can be helpful for oncologists in deciding whether to start lenvatinib treatment in patients with RR-DTC.
[PURPOSE] The optimal timing for starting lenvatinib treatment in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC) has long been controversial because of the relatively slow
- p-value p < 0.02
- p-value p < 0.03
- 95% CI 1.03-8.63
APA
Fukuda N, Toda K, et al. (2022). A proposed clinical scoring system for initiation of lenvatinib treatment in radioiodine-refractory thyroid cancer patients.. Endocrine, 76(1), 70-77. https://doi.org/10.1007/s12020-021-02963-z
MLA
Fukuda N, et al.. "A proposed clinical scoring system for initiation of lenvatinib treatment in radioiodine-refractory thyroid cancer patients.." Endocrine, vol. 76, no. 1, 2022, pp. 70-77.
PMID
35088293 ↗
Abstract 한글 요약
[PURPOSE] The optimal timing for starting lenvatinib treatment in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC) has long been controversial because of the relatively slow-growing nature of differentiated thyroid cancer. The aim of this study was to establish a scoring system using known clinical factors to simplify decision-making in when to start lenvatinib in RR-DTC patients.
[METHODS] We retrospectively analyzed RR-DTC patients treated with lenvatinib. We developed the clinical indication scoring algorithm on the basis of age, tumor-related symptoms, histology, metastatic sites, neutrophil-to-lymphocyte ratio, size of lung metastases, baseline sum of tumor diameters, and tumor-volume doubling time that was used to categorize patients into low-, intermediate-, and high-risk groups.
[RESULTS] A total of 59 patients were analyzed; 13 low-risk, 36 intermediate-risk, and 10 high-risk. The respective median progression-free survival from the initiation of lenvatinib was 93.7 months in the low-risk group, 20.3 months in the intermediate-risk group, and 6.2 months in the high-risk group (p < 0.02). Patients in the high-risk group had significantly worse overall survival compared with those in the low-risk (hazard ratio [HR] 6.59, 95% confidence interval [CI] 1.25-34.90, p < 0.03) or intermediate-risk (HR 2.99, 95% CI 1.03-8.63, p < 0.05) group. Using our proposed algorithm, patients in the intermediate-risk group showed treatment outcomes similar to that were observed in the pivotal trial of lenvatinib, and were the optimal patients to start lenvatinib.
[CONCLUSION] Our proposed scoring system can separate treatment outcomes and prognosis of RR-DTC patients treated with lenvatinib. This simple algorithm can be helpful for oncologists in deciding whether to start lenvatinib treatment in patients with RR-DTC.
[METHODS] We retrospectively analyzed RR-DTC patients treated with lenvatinib. We developed the clinical indication scoring algorithm on the basis of age, tumor-related symptoms, histology, metastatic sites, neutrophil-to-lymphocyte ratio, size of lung metastases, baseline sum of tumor diameters, and tumor-volume doubling time that was used to categorize patients into low-, intermediate-, and high-risk groups.
[RESULTS] A total of 59 patients were analyzed; 13 low-risk, 36 intermediate-risk, and 10 high-risk. The respective median progression-free survival from the initiation of lenvatinib was 93.7 months in the low-risk group, 20.3 months in the intermediate-risk group, and 6.2 months in the high-risk group (p < 0.02). Patients in the high-risk group had significantly worse overall survival compared with those in the low-risk (hazard ratio [HR] 6.59, 95% confidence interval [CI] 1.25-34.90, p < 0.03) or intermediate-risk (HR 2.99, 95% CI 1.03-8.63, p < 0.05) group. Using our proposed algorithm, patients in the intermediate-risk group showed treatment outcomes similar to that were observed in the pivotal trial of lenvatinib, and were the optimal patients to start lenvatinib.
[CONCLUSION] Our proposed scoring system can separate treatment outcomes and prognosis of RR-DTC patients treated with lenvatinib. This simple algorithm can be helpful for oncologists in deciding whether to start lenvatinib treatment in patients with RR-DTC.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
같은 제1저자의 인용 많은 논문 (3)
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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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