Literature DB >> 10854946

Quality control in multicentric clinical trials. An experience of the EORTC Gynecological Cancer Cooperative Group.

G Favalli1, J B Vermorken, K Vantongelen, J Renard, A T Van Oosterom, S Pecorelli.   

Abstract

Data Quality is a central requirement of scientific research and external monitoring is essential in multicentric clinical trials (MCT). A quality control (QC) study was conducted in the main Institutions participating in EORTC-GCCG Protocol number 55863 - randomised phase III trial of vindesine, cisplatin, bleomycin and mitomycin-C (BEMP) versus cisplatin (P) in disseminated squamous cell carcinoma of the uterine cervix - in order to assess the impact of variations in data quality on the conclusions of the trial. The reliability of the different centres in following the protocol was investigated by a questionnaire covering drug prescription, local facilities and the procedure for preparation and administration of chemotherapy. The 'treatment protocol adherence' was evaluated by recalculation of the ideal protocol dose and its comparison with the actual delivered dosage at each cycle of chemotherapy. 'Data quality control' was assessed by comparison of data on case report forms (CRFs) with the corresponding items in the medical records. Eleven centres participating in the trial were visited by the same team of reviewers. Striking differences were noted in the chemotherapy administration procedures and between the type and quality of hospital files. Overall, there was an acceptable level of data quality and protocol compliance. Data accuracy was 81.8% (range: 65. 6-97%) of the 4424 items checked. Incorrect data were found in 7.0% (2.3-14.5%), data were missing on the form in 3.6% of cases (0-12%) and data was on the form but not in the file in 7.6% of cases (0. 7-17.5%). Causes of inaccuracy were analysed. Both problems in data management but also in a lack of clarity of the protocol and/or CRFs were to blame. Training and supervision of data managers, precision in writing protocols, standardisation of some aspects of CRFs and the use of a checklist for chemotherapy data and treatment toxicities would have avoided many of these errors. The need for QC in all collaborative groups performing MCT is emphasised. A literature review on QC in MCT dealing with chemotherapy is included.

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Year:  2000        PMID: 10854946     DOI: 10.1016/s0959-8049(00)00090-3

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

1.  Impact of a targeted monitoring on data-quality and data-management workload of randomized controlled trials: A prospective comparative study.

Authors:  Claire Fougerou-Leurent; Bruno Laviolle; Christelle Tual; Valérie Visseiche; Aurélie Veislinger; Hélène Danjou; Amélie Martin; Valérie Turmel; Alain Renault; Eric Bellissant
Journal:  Br J Clin Pharmacol       Date:  2019-12-14       Impact factor: 4.335

2.  Measuring the Quality of Data Collection in a Large Observational Cohort of HIV and AIDS.

Authors:  Mariska Hillebregt; Elly de Lange-de Klerk; Dirk Knol; Frank de Wolf; Colette Smit
Journal:  Open AIDS J       Date:  2010-05-05

3.  Assessment of data quality in an international multi-centre randomised trial of coronary artery surgery.

Authors:  Lukasz J Krzych; Belinda Lees; Fiona Nugara; Winston Banya; Andrzej Bochenek; Jo Cook; David Taggart; Marcus D Flather
Journal:  Trials       Date:  2011-09-26       Impact factor: 2.728

4.  The value of source data verification in a cancer clinical trial.

Authors:  Catrin Tudur Smith; Deborah D Stocken; Janet Dunn; Trevor Cox; Paula Ghaneh; David Cunningham; John P Neoptolemos
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

5.  Quantifying data quality for clinical trials using electronic data capture.

Authors:  Meredith L Nahm; Carl F Pieper; Maureen M Cunningham
Journal:  PLoS One       Date:  2008-08-25       Impact factor: 3.240

  5 in total

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