Response to letter to editor: ‘Comment on Arch et al., Trials. 2016;17:517’
© The Author(s). 2017
Received: 28 March 2017
Accepted: 8 May 2017
Published: 26 May 2017
In October 2015 we published the paper ‘Measurement of HbA1c in multicentre diabetes trials – should blood samples be tested locally or sent to a central laboratory: an agreement analysis’. Chatterjee and Pradhan have submitted a letter to the editor asking critical questions regarding the methods we used.
We offer this letter in response.
Eudract No. 2010-023792-25. Registered on 4 November 2010. ISRCTN No. ISRCTN29255275. Registered on 12 November 2010
KeywordsHbA1c Agreement Trial design Measurement
We thank Chatterjee and Pradhan for their letter regarding our paper in Trials. 2016; 17-517. We agree with their sentiment that local HbA1c measurement cannot be implemented at the expense of clinically unacceptable disparities between centralised and localised measurements despite its greater cost efficiency. We hope that the following provides the additional information that will aid their assessment of our results.
In their letter, Chatterjee and Pradhan draw attention to Fig. 3 of our paper, and notice that within centres the distribution of differences is centred on 0 (suggesting that there are no centre-specific systematic biases present). We would argue that this does not imply that the same relationship would necessarily be true for time-lag. Figure 3 displayed results by site; however, within a site the time lag may vary. We have produced boxplots to show the distribution of differences by time-lag and a scatterplot as requested. This demonstrates an absence of a linear relationship between time-lag and discrepancy. They also indicate that in practice time-lag can be an important factor for high glucose values. As part of the underlying assumptions of the Bland-Altman method we investigated heteroscedasticity (see the Verification of assumptions section within the ‘Results’ section of our paper), i.e. we did not observe any increase in discrepancy with higher glycosylated haemoglobin (HbA1c).
HbA1c measurement methodology
Local HbA1c measurement methodology, as reported by sites
Local measurement methodology
Main method: DCA machine; 2 other possibilities: local laboratory or Hh9210 premier analyser machine by A Menarini Diagnostics
Machine in clinic
Diabetes team have their own machine
Method during follow-up: DCA machine in clinic calibrated daily with local laboratory
Machine on the ward
DCA Vantage in the Diabetes Centre. QC managed by pathology department in the hospital
Siemens DCA Vantage machine in clinic
Alfinion machine in outpatients
Portable DCA machine
Machine in clinic
Method during follow-up: DCA 2000 machine in clinic
Machine in clinic
Main method: local laboratory (till April 2015); then new analyser machine
Technician from local laboratory brings a machine to the clinic
DCA analyser for majority of follow-up appointments
Whether central laboratory results should be used in preference to local results is an issue that needs to be considered at the design stage of any study. We hope that the information presented will enable greater clarity in decisions made. However, any decision needs to be born against the size of the effect that is to be detected and the potential size of discrepancies. This study demonstrates that despite quality control placed on local machines such discrepancies do occur. It should also be emphasised that this study took place in the UK and the climate and transport conditions elsewhere may determine whether local measurements are preferable.
None to add.
SCIPI was funded by the Health Technology Assessment (HTA) programme of the National Institute for Health Research (NIHR). Project reference: 08/14/39.
Availability of data and materials
The data for these analyses are available on request from the lead author.
All authors read and approved the final manuscript. BA carried out the analysis and wrote the statistical methods, results and much of the discussion section, and drafted the manuscript. JB wrote part of the background section and reviewed the manuscript. AM helped with data issues and reviewed the manuscript. JWG reviewed the manuscript. PN contributed the biochemistry methodology and reviewed the manuscript. CG raised the original question and led the statistical team contributing to the statistical analysis plan, analyses, and manuscript.
BA is a statistician at the CTRC2; JB is a consultant endocrinologist, and the SCIPI1 CI; AM is the SCIPI1 trial statistician at the CTRC2; JWG is a professor in paediatric endocrinology at the University of Cardiff, and a co-investigator and PI for SCIPI1; PN is a consultant biochemist at Alder Hey Children’s Hospital; CG is deputy-HoD of Biostatistics at the University of Liverpool and deputy director of the CTRC2.
1SCIPI: Randomised controlled trial of continuous subcutaneous insulin infusion compared to multiple daily injection regimens in children and young people at diagnosis of type I diabetes mellitus.
2CTRC: Clinical Trials Research Centre, University of Liverpool.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
SCIPI was approved by the accredited National Research Ethics Committee North-West – Liverpool East − on 31 March 2011 (Ref 10/H1002/80). The study protocol follows the principles of the Declaration of Helsinki and the Medical Research Involving Human Subjects Act (WMO), and it is compliant to ICH-GCP. All participants gave informed consent prior to enrolment in the study.
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