Literature DB >> 32045295

COMPARATIVE EFFICACY OF MEDICAL TREATMENT FOR ACROMEGALY: A SYSTEMATIC REVIEW AND NETWORK META-ANALYSIS OF INTEGRATED RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES.

Nidan Qiao, Min He, Ming Shen, Qilin Zhang, Zhaoyun Zhang, Xuefei Shou, Yongfei Wang, Yao Zhao, Nicholas A Tritos.   

Abstract

Objective: Comprehensive evidence comparing different medications for acromegaly is scarce. The aim of this study was to perform a network meta-analysis based on evidence from both randomized trials and observational studies of medical treatments for acromegaly.
Methods: Electronic databases were searched for both observational studies and randomized trials that enrolled acromegaly patients treated with medications of interest. Simulated trials were generated by a machine learning algorithm and then synthesized with Bayesian random-effects network meta-analyses. The main outcome was the rate of insulin-like growth factor 1 (IGF-1) control after medical treatment.
Results: We included 90 studies (100 arms, 4,523 patients) before matching. After matching, 28 simulated trials were generated. Balance of matched arms was checked by spatial distance and correlation matrix. Cotreatment with somatostatin receptor ligands and pegvisomant was the most effective treatment compared with other treatments. In unselected patients, pegvisomant was better than octreotide long-acting release (logOR, 0.85; 95% credible interval [CrI], 0.05 to 1.65) or lanreotide (logOR, 1.09, 95% CrI, 0.05 to 2.14), and the mean absolute IGF-1 control rate ranged from 40 to 60%. In partially responsive patients, cotreatment with somatostatin receptor ligands and pegvisomant was similar to pegvisomant monotherapy, ranking as the most two effective treatments, and the mean absolute IGF-1 control rate was over 60%.
Conclusion: Our analysis suggested that the combination of data from observational studies and randomized trials in network meta-analysis was feasible. The findings of this network meta-analysis provided robust evidence supporting the current guidelines in treatment strategy for acromegaly. Abbreviations: CrI = credible interval; DA = dopamine agonist; GH = growth hormone; IGF-1 = insulin-like growth factor 1; ITT = intention-to-treat; LAN = lanreotide; LAN-ATG = lanreotide autogel; OCT = octreotide; OCT-LAR = octreotide long acting repeatable; OR = odds ratio; PEG = pegvisomant; PP = per-protocol; SRL = somatostatin receptor ligand.

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Year:  2020        PMID: 32045295     DOI: 10.4158/EP-2019-0528

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  5 in total

1.  Real-world experience with pasireotide-LAR in resistant acromegaly: a single center 1-year observation.

Authors:  Maria Stelmachowska-Banaś; Izabella Czajka-Oraniec; Agnieszka Tomasik; Wojciech Zgliczyński
Journal:  Pituitary       Date:  2021-09-08       Impact factor: 4.107

2.  Pasireotide-Induced Shrinkage in GH and ACTH Secreting Pituitary Adenoma: A Systematic Review and Meta-Analysis.

Authors:  Alessandro Mondin; Renzo Manara; Giacomo Voltan; Irene Tizianel; Luca Denaro; Marco Ferrari; Mattia Barbot; Carla Scaroni; Filippo Ceccato
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-01       Impact factor: 6.055

3.  Clinical, hormonal and pathomorphological markers of somatotroph pituitary neuroendocrine tumors predicting the treatment outcome in acromegaly.

Authors:  Agnieszka Tomasik; Maria Stelmachowska-Banaś; Maria Maksymowicz; Izabella Czajka-Oraniec; Dorota Raczkiewicz; Grzegorz Zieliński; Jacek Kunicki; Wojciech Zgliczyński
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-16       Impact factor: 6.055

Review 4.  Glucose-Regulated Protein 94 (GRP94): A Novel Regulator of Insulin-Like Growth Factor Production.

Authors:  Yair Argon; Sophie E Bresson; Michal T Marzec; Adda Grimberg
Journal:  Cells       Date:  2020-08-06       Impact factor: 6.600

Review 5.  Acromegaly: Clinical Care in Central and Eastern Europe, Israel, and Kazakhstan.

Authors:  Marek Bolanowski; Zaina Adnan; Mirjana Doknic; Mykola Guk; Václav Hána; Irena Ilovayskaya; Darko Kastelan; Tomaz Kocjan; Martin Kužma; Akmaral Nurbekova; Catalina Poiana; Nikolette Szücs; Silvia Vandeva; Roy Gomez; Sorin Paidac; Damien Simoneau; Ilan Shimon
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-22       Impact factor: 5.555

  5 in total

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