Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? : A comparison study with laboratory data

© The Author(s) 2014. Acknowledgements We thank the Information Services Division, Scotland, who provided the SMR01 data, and NHS Grampian, who provided the biochemistry data. We also thank the University of Aberdeen’s Data Management Team. Funding This work was supported by the Chief Scientists Office for Scotland (grant no. CZH/4/656).

Looking to the future : Predicting renal replacement outcomes in a large community cohort with chronic kidney disease

Peer reviewed

Looking to the future : Predicting renal replacement outcomes in a large community cohort with chronic kidney disease

Peer reviewed

Looking to the future : Predicting renal replacement outcomes in a large community cohort with chronic kidney disease

Peer reviewed

Aspirin and other non-steroidal anti-inflammatory drug prescriptions and survival after the diagnosis of head and neck and oesophageal cancer

Peer reviewed

Decreased Cell Wall Galactosaminogalactan in Aspergillus nidulans Mediates Dysregulated Inflammation in the Chronic Granulomatous Disease Host

Author Disclosure Statement No competing financial interests exist.

Aspergillosis in chronic granulomatous disease

Peer reviewed

Long term effects of gestational hypertension and pre-eclampsia on kidney function : Record linkage study

This research was funded by the Chief Scientists Office, Scotland (CZH/4/659).

Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)

Peer reviewed