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Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis

BACKGROUND: It remains unknown which is the most effective regimen among the available therapies for advanced well-differentiated neuroendocrine tumors (NETs). We performed a network meta-analysis to address this important issue. METHODS: PubMed, Embase, Web of Science, Cochrane Library, and major i...

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Autores principales: Liu, Tingting, Liao, Jiehao, Dang, Jun, Li, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542116/
https://www.ncbi.nlm.nih.gov/pubmed/31191714
http://dx.doi.org/10.1177/1758835919853673
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author Liu, Tingting
Liao, Jiehao
Dang, Jun
Li, Guang
author_facet Liu, Tingting
Liao, Jiehao
Dang, Jun
Li, Guang
author_sort Liu, Tingting
collection PubMed
description BACKGROUND: It remains unknown which is the most effective regimen among the available therapies for advanced well-differentiated neuroendocrine tumors (NETs). We performed a network meta-analysis to address this important issue. METHODS: PubMed, Embase, Web of Science, Cochrane Library, and major international scientific meetings were searched for relevant randomized controlled trials (RCTs). Progression-free survival (PFS) data was the primary outcome of interest, and overall survival (OS) and serious adverse events (SAEs) were the secondary outcomes of interests, reported as hazard ratio (HR), or odds ratio (OR) and 95% confidence intervals (CIs). RESULTS: Included in the meta-analysis were 21 eligible articles reporting 15 RCTs with a total of 2922 patients randomized to receive 11 treatments. Peptide receptor radionuclide therapy (PRRT) showed significant PFS advantage over somatostatin analogs (SSA) (HR = 0.21, 95% CI: 0.11–0.41), everolimus (HR = 0.25, 95% CI: 0.11–0.53), sunitinib (HR = 0.29, 95% CI: 0.10–0.82), everolimus+SSA (HR = 0.26, 95% CI: 0.12–0.54), and everolimus+bevacizumab (HR = 0.31, 95% CI: 0.11–0.82). OS findings were not significantly different between treatments. In terms of treatment rankings of PFS, PRRT had the highest probability (96%) of being the most effective treatment, followed by SSA+bevacizumab (86%) and SSA+interferon-α (IFN-α) (78%). As for toxicity, risk of SAEs was similar between the three treatments. Based on the benefit–risk ratio, PRRT, SSA+bevacizumab, and SSA+IFN-α seemed to be the best, second-, and third-best treatment, respectively. CONCLUSIONS: PRRT is likely to be the most preferable treatment for patients with advanced well-differentiated NETs. SSA+bevacizumab and SSA+IFN-α also seem to be more effective regimens with limited risk of SAEs.
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spelling pubmed-65421162019-06-12 Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis Liu, Tingting Liao, Jiehao Dang, Jun Li, Guang Ther Adv Med Oncol Meta-Analysis BACKGROUND: It remains unknown which is the most effective regimen among the available therapies for advanced well-differentiated neuroendocrine tumors (NETs). We performed a network meta-analysis to address this important issue. METHODS: PubMed, Embase, Web of Science, Cochrane Library, and major international scientific meetings were searched for relevant randomized controlled trials (RCTs). Progression-free survival (PFS) data was the primary outcome of interest, and overall survival (OS) and serious adverse events (SAEs) were the secondary outcomes of interests, reported as hazard ratio (HR), or odds ratio (OR) and 95% confidence intervals (CIs). RESULTS: Included in the meta-analysis were 21 eligible articles reporting 15 RCTs with a total of 2922 patients randomized to receive 11 treatments. Peptide receptor radionuclide therapy (PRRT) showed significant PFS advantage over somatostatin analogs (SSA) (HR = 0.21, 95% CI: 0.11–0.41), everolimus (HR = 0.25, 95% CI: 0.11–0.53), sunitinib (HR = 0.29, 95% CI: 0.10–0.82), everolimus+SSA (HR = 0.26, 95% CI: 0.12–0.54), and everolimus+bevacizumab (HR = 0.31, 95% CI: 0.11–0.82). OS findings were not significantly different between treatments. In terms of treatment rankings of PFS, PRRT had the highest probability (96%) of being the most effective treatment, followed by SSA+bevacizumab (86%) and SSA+interferon-α (IFN-α) (78%). As for toxicity, risk of SAEs was similar between the three treatments. Based on the benefit–risk ratio, PRRT, SSA+bevacizumab, and SSA+IFN-α seemed to be the best, second-, and third-best treatment, respectively. CONCLUSIONS: PRRT is likely to be the most preferable treatment for patients with advanced well-differentiated NETs. SSA+bevacizumab and SSA+IFN-α also seem to be more effective regimens with limited risk of SAEs. SAGE Publications 2019-05-29 /pmc/articles/PMC6542116/ /pubmed/31191714 http://dx.doi.org/10.1177/1758835919853673 Text en © The Author(s), 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Meta-Analysis
Liu, Tingting
Liao, Jiehao
Dang, Jun
Li, Guang
Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
title Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
title_full Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
title_fullStr Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
title_full_unstemmed Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
title_short Treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
title_sort treatments for patients with advanced neuroendocrine tumors: a network meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542116/
https://www.ncbi.nlm.nih.gov/pubmed/31191714
http://dx.doi.org/10.1177/1758835919853673
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