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dc.contributor.authorRodgers, LR
dc.contributor.authorWeedon, MN
dc.contributor.authorHenley, WE
dc.contributor.authorHattersley, AT
dc.contributor.authorShields, BM
dc.date.accessioned2017-09-25T13:17:27Z
dc.date.issued2017-10-12
dc.description.abstractPurpose This is a retrospective cohort study using observational data from anonymised primary care records. We identify and extract all patients with type 2 diabetes and associated clinical data from the Clinical Practice Research Datalink (CPRD) to inform models of disease progression and stratification of treatment. Participants Data were extracted from CPRD on 8 August 2016. The initial data set contained all patients (n=313 485) in the database who had received a type 2 diabetes medication. Criteria were applied to identify and exclude those with type 1 diabetes, polycystic ovarian syndrome or other forms of diabetes (n=40 204), and for data quality control (n=12). We identified 251 338 patients for inclusion in future analyses of diabetes progression and treatment response. Findings to date For 6-month response to treatment, measured by change in glycated haemoglobin (HbA1c), we have 91 765 patients with 119 785 treatment response episodes. The greatest impact on reduction of HbA1c occurs with first-line and second-line treatments, metformin and sulfonylurea. Patients moving to third-line treatments tend to have greater weights and higher body mass index. We have investigated the impact of non-adherence to commonly used glucose-lowering medications on HbA1c. For baseline-adjusted HbA1c change over 1 year, non-adherent patients had lower HbA1c reductions than adherent patients, with mean and 95% CI of −4.4 (−4.7 to −4.0) mmol/mol (−0.40 (−0.43 to −0.37) %). Future plans Findings from studies using these data will help inform future treatment plans and guidelines. Additional data are added with updates from CPRD. This will increase the numbers of patients on newer medications and add more data on those already receiving treatment. There are several ongoing studies investigating different hypotheses regarding differential response to treatment and progression of diabetes. For side effects, links to Hospital Episode Statistics data, where severe events such as hypoglycaemia will be recorded, will also be explored.en_GB
dc.description.sponsorshipThe MASTERMIND (MRC APBI Stratification and Extreme Response Mechanism IN Diabetes) consortium is funded by the U.K Medical Research Council funded study grant number MR/N00633X/1. The funder of the trial had no role in study design, data collection, data analysis, data interpretation, or writing of the report.en_GB
dc.identifier.citationVol. 7, article e017989en_GB
dc.identifier.doi10.1136/bmjopen-2017-017989
dc.identifier.urihttp://hdl.handle.net/10871/29522
dc.language.isoenen_GB
dc.publisherBMJ Publishing Groupen_GB
dc.rights© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
dc.subjectDiabetes Mellitusen_GB
dc.subjectPrimary Health Careen_GB
dc.subjectCohort Studiesen_GB
dc.subjectHypoglycaemic Agentsen_GB
dc.subjectElectronic Medical Recordsen_GB
dc.titleCohort profile for the MASTERMIND study: Using the Clinical Practice Research Datalink (CPRD) to investigate stratification of response to treatment in patients with Type 2 diabetesen_GB
dc.typeArticleen_GB
dc.identifier.issn2044-6055
dc.descriptionThis is the author accepted manuscript. The final version is available from BMJ Publishing via the DOI in this record.
dc.identifier.journalBMJ Openen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/


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© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/