Literature DB >> 28573439

Using pharmacy management systems for research: survival outcomes for lenalidomide in multiple myeloma in the clinical setting.

Megan M Sharkey1,2, Daniel McKavanagh3, Euan Walpole4, Peter Mollee5,6, Samantha A Hollingworth7.   

Abstract

Background Health records can be used to measure medicine use and health outcomes. The public subsidy of lenalidomide in Australia was based on two phase III trials showing improved survival. Objective To use hospital pharmacy information management systems to determine survival outcomes for lenalidomide as a second line treatment in relapsed or refractory multiple myeloma (RRMM) patients. Setting Five public hospitals in Queensland, Australia. Method We extracted data on medicine use and survival for RRMM patients planned to start lenalidomide from pharmacy management and pathology databases. Descriptive statistical analyses (Kaplan-Meier curves) were used to calculate overall survival. Main outcome measure Overall survival. Results There were 136 patients who received at least one lenalidomide dose and 2234 cycles were ordered. The median age was 69 years and 54% were male. Two lenalidomide containing protocols were considered: 90% of patients had lenalidomide plus dexamethasone; 18% had lenalidomide plus dexamethasone with cyclophosphamide. The median starting lenalidomide dose was 20 mg (range 4.3-25 mg) on days 1-21 of a 28-day cycle. Median time on treatment 9.4 months (range 0.5-71.7 months). Median overall survival was 45.4 months (range 12.0-70.5 months). Conclusion The median survival in our study compared favourably to clinical trials. Patients and clinicians can be reassured that outcomes in this clinical setting are as good as those observed in trials.

Entities:  

Keywords:  Australia; Lenalidomide; Multiple myeloma; Pharmacy information system; Refractory; Relapsed; Survival

Mesh:

Substances:

Year:  2017        PMID: 28573439     DOI: 10.1007/s11096-017-0480-0

Source DB:  PubMed          Journal:  Int J Clin Pharm


  24 in total

1.  Lenalidomide with dexamethasone treatment for relapsed/refractory myeloma patients in Korea-experience from 110 patients.

Authors:  Kihyun Kim; Seok Jin Kim; Verena Voelter; Cheolwon Suh; Sung-Soo Yoon; Je-Jung Lee; Jae-Yong Kwak; Hun-Mo Ryoo; Yang Soo Kim; Joon Ho Moon; Seong Kyu Park; Sung-Hyun Kim; Yeung-Chul Mun; Jin Seok Kim; Hyeon-Seok Eom; Deog-Yeon Jo; Hyun Jung Jun; Ki-Hwan Kim; Jeong-Ok Lee; Jae Hoon Lee; Chang-Ki Min
Journal:  Ann Hematol       Date:  2013-09-12       Impact factor: 3.673

Review 2.  An overview on standard statistical methods for assessing exposure-outcome link in survival analysis (Part II): the Kaplan-Meier analysis and the Cox regression method.

Authors:  Samar Abd ElHafeez; Claudia Torino; Graziella D'Arrigo; Davide Bolignano; Fabio Provenzano; Francesco Mattace-Raso; Carmine Zoccali; Giovanni Tripepi
Journal:  Aging Clin Exp Res       Date:  2012-06       Impact factor: 3.636

3.  Analysis of efficacy and prognostic factors of lenalidomide treatment as part of a Dutch compassionate use program.

Authors:  Evelien Kneppers; Henk M Lokhorst; Corien M Eeltink; Gerwin Huls; Marie José Kersten; Jan Koedam; Monique C Minnema; Marinus H J van Oers; Reinier A P Raymakers; Martijn R Schaafsma; Edo Vellenga; Pierre W Wijermans; Shulamiet Wittebol; Pieter Sonneveld; Sonja Zweegman
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2010-04

4.  Impact of early use of lenalidomide and low-dose dexamethasone on clinical outcomes in patients with relapsed/refractory multiple myeloma.

Authors:  Tsutomu Kobayashi; Junya Kuroda; Shin-ichi Fuchida; Hitomi Kaneko; Hideo Yagi; Hirohiko Shibayama; Hirokazu Tanaka; Satoru Kosugi; Nobuhiko Uoshima; Masayuki Kobayashi; Yoko Adachi; Kensuke Ohta; Kazuyoshi Ishii; Hitoji Uchiyama; Mitsuhiro Matsuda; Eiji Nakatani; Mitsuru Tsudo; Chihiro Shimazaki; Akifumi Takaori-Kondo; Shosaku Nomura; Itaru Matsumura; Masafumi Taniwaki; Yuzuru Kanakura
Journal:  Int J Hematol       Date:  2014-11-11       Impact factor: 2.490

5.  Recent improvement in survival of patients with multiple myeloma: variation by ethnicity.

Authors:  Dianne Pulte; Maria Theresa Redaniel; Hermann Brenner; Lina Jansen; Mona Jeffreys
Journal:  Leuk Lymphoma       Date:  2013-09-03

6.  Lenalidomide plus dexamethasone is more effective than dexamethasone alone in patients with relapsed or refractory multiple myeloma regardless of prior thalidomide exposure.

Authors:  Michael Wang; Meletios A Dimopoulos; Christine Chen; M Teresa Cibeira; Michel Attal; Andrew Spencer; S Vincent Rajkumar; Zhinuan Yu; Marta Olesnyckyj; Jerome B Zeldis; Robert D Knight; Donna M Weber
Journal:  Blood       Date:  2008-09-17       Impact factor: 22.113

Review 7.  How lenalidomide is changing the treatment of patients with multiple myeloma.

Authors:  Meletios A Dimopoulos; Evangelos Terpos; Ruben Niesvizky
Journal:  Crit Rev Oncol Hematol       Date:  2013-06-28       Impact factor: 6.312

8.  Lenalidomide in relapsed and refractory multiple myeloma disease: feasibility and benefits of long-term treatment.

Authors:  Manola Zago; Katharina Oehrlein; Corinna Rendl; Corinna Hahn-Ast; Lothar Kanz; Katja Weisel
Journal:  Ann Hematol       Date:  2014-07-01       Impact factor: 3.673

9.  Lenalidomide for multiple myeloma: cost-effectiveness in patients with one prior therapy in England and Wales.

Authors:  Ruth E Brown; Sean Stern; Sujith Dhanasiri; Steve Schey
Journal:  Eur J Health Econ       Date:  2012-05-10

10.  Gender disparities in the tumor genetics and clinical outcome of multiple myeloma.

Authors:  Kevin D Boyd; Fiona M Ross; Laura Chiecchio; GianPaolo Dagrada; Zoe J Konn; William J Tapper; Brian A Walker; Christopher P Wardell; Walter M Gregory; Alex J Szubert; Faith E Davies; Gareth J Morgan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-06-15       Impact factor: 4.254

View more
  1 in total

1.  Smartphone-Based and Data-Driven Superstructure State Prediction Method for Highway Bridges in Service.

Authors:  Jixin Duan; Weili He; Shizhan Xu; Zhaoyuan Zhong; Liang Huang
Journal:  Sensors (Basel)       Date:  2022-07-27       Impact factor: 3.847

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.