Literature DB >> 33713841

Central monitoring in a randomized, open-label, controlled phase 3 clinical trial for a treatment-shortening regimen for pulmonary tuberculosis.

Kia E Bryant1, Yan Yuan2, Melissa Engle3, Ekaterina V Kurbatova2, Cynthia Allen-Blige4, Kumar Batra4, Nicole E Brown2, Kuo Wei Chiu4, Howard Davis4, Mascha Elskamp5, Melissa Fagley2, Pamela Fedrick4, Kimberley N C Hedges6, Kim Narunsky7, Joanita Nassali8, Mimi Phan9, Ha Phan10, Anne E Purfield11, Jessica N Ricaldi2, Kathleen Robergeau-Hunt12, William C Whitworth2, Erin E Sizemore2.   

Abstract

INTRODUCTION: With the growing use of online study management systems and rapid availability of data, timely data review and quality assessments are necessary to ensure proper clinical trial implementation. In this report we describe central monitoring used to ensure protocol compliance and accurate data reporting, implemented during a large phase 3 clinical trial.
MATERIAL AND METHODS: The Tuberculosis Trials Consortium (TBTC) Study 31/AIDS Clinical Trials Group (ACTG) study A5349 (S31) is an international, multi-site, randomized, open-label, controlled, non-inferiority phase 3 clinical trial comparing two 4-month regimens to a standard 6 month regimen for treatment of drug-susceptible tuberculosis (TB) among adolescents and adults with a sample size of 2500 participants.
RESULTS: Central monitoring utilized primary study data in a five-tiered approach, including (1) real-time data checks & topic-specific intervention reports, (2) missing forms reports, (3) quality assurance metrics, (4) critical data reports and (5) protocol deviation identification, aimed to detect and resolve quality challenges. Over the course of the study, 240 data checks and reports were programed across the five tiers used. DISCUSSION: This use of primary study data to identify issues rapidly allowed the study sponsor to focus quality assurance and data cleaning activities on prioritized data, related to protocol compliance and accurate reporting of study results. Our approach enabled us to become more efficient and effective as we informed sites about deviations, resolved missing or inconsistent data, provided targeted guidance, and gained a deeper understanding of challenges experienced at clinical trial sites. TRIAL REGISTRATION: This trial was registered with ClinicalTrials.gov (Identifier: NCT02410772) on April 8, 2015. Published by Elsevier Inc.

Entities:  

Keywords:  Central monitoring; Clinical trial; Clinical trial quality assurance; Tuberculosis

Mesh:

Substances:

Year:  2021        PMID: 33713841      PMCID: PMC8180498          DOI: 10.1016/j.cct.2021.106355

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  9 in total

1.  The surveillance of communicable diseases of national importance.

Authors:  A D LANGMUIR
Journal:  N Engl J Med       Date:  1963-01-24       Impact factor: 91.245

2.  A statistical approach to central monitoring of data quality in clinical trials.

Authors:  David Venet; Erik Doffagne; Tomasz Burzykowski; François Beckers; Yves Tellier; Eric Genevois-Marlin; Ursula Becker; Valerie Bee; Veronique Wilson; Catherine Legrand; Marc Buyse
Journal:  Clin Trials       Date:  2012-06-08       Impact factor: 2.486

Review 3.  Potential Risks and Mitigation Strategies Before the Conduct of a Clinical Trial: An Industry Perspective.

Authors:  Seema Bhagat; Vaibhavi K Kapatkar; Meenakshi Mourya; Sucheta Roy; Shailendra Jha; Rajasekhar Reddy; Ganesh Kadhe; Amey Mane; Sandesh Sawant
Journal:  Rev Recent Clin Trials       Date:  2016

4.  High-dose rifapentine with or without moxifloxacin for shortening treatment of pulmonary tuberculosis: Study protocol for TBTC study 31/ACTG A5349 phase 3 clinical trial.

Authors:  Susan E Dorman; Payam Nahid; Ekaterina V Kurbatova; Stefan V Goldberg; Lorna Bozeman; William J Burman; Kwok-Chiu Chang; Michael Chen; Mark Cotton; Kelly E Dooley; Melissa Engle; Pei-Jean Feng; Courtney V Fletcher; Phan Ha; Charles M Heilig; John L Johnson; Erica Lessem; Beverly Metchock; Jose M Miro; Nguyen Viet Nhung; April C Pettit; Patrick P J Phillips; Anthony T Podany; Anne E Purfield; Kathleen Robergeau; Wadzanai Samaneka; Nigel A Scott; Erin Sizemore; Andrew Vernon; Marc Weiner; Susan Swindells; Richard E Chaisson
Journal:  Contemp Clin Trials       Date:  2020-01-22       Impact factor: 2.226

5.  Quality assurance in a large clinical trials consortium: the experience of the Tuberculosis Trials Consortium.

Authors:  Laurie Sandman; Ann Mosher; Awal Khan; Jan Tapy; Rany Condos; Scott Ferrell; Andrew Vernon
Journal:  Contemp Clin Trials       Date:  2006-07-28       Impact factor: 2.226

6.  Risk-based Monitoring of Clinical Trials: An Integrative Approach.

Authors:  Dimitris K Agrafiotis; Victor S Lobanov; Michael A Farnum; Eric Yang; Joseph Ciervo; Michael Walega; Adam Baumgart; Aaron J Mackey
Journal:  Clin Ther       Date:  2018-07-04       Impact factor: 3.393

7.  A randomized evaluation of on-site monitoring nested in a multinational randomized trial.

Authors:  Nicole Wyman Engen; Kathy Huppler Hullsiek; Waldo H Belloso; Elizabeth Finley; Fleur Hudson; Eileen Denning; Catherine Carey; Mary Pearson; Jonathan Kagan
Journal:  Clin Trials       Date:  2019-10-24       Impact factor: 2.486

8.  Commentary on Engen et al: Risk-based, dynamic, process-oriented monitoring strategies and their burden.

Authors:  Marnie Bertolet; Maria Mori Brooks; Jeffrey L Carson
Journal:  Clin Trials       Date:  2019-10-24       Impact factor: 2.486

9.  Generating evidence on a risk-based monitoring approach in the academic setting - lessons learned.

Authors:  Belinda von Niederhäusern; Annette Orleth; Sabine Schädelin; Nawal Rawi; Martin Velkopolszky; Claudia Becherer; Pascal Benkert; Priya Satalkar; Matthias Briel; Christiane Pauli-Magnus
Journal:  BMC Med Res Methodol       Date:  2017-02-14       Impact factor: 4.615

  9 in total
  1 in total

1.  Study on the associations between liver damage and antituberculosis drug rifampicin and relative metabolic enzyme gene polymorphisms.

Authors:  Qiang Su; Qiao Liu; Juan Liu; Lingyun Fu; Tao Liu; Jing Liang; Hong Peng; Xue Pan
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  1 in total

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