Clinical codelist - CPRD Aurum - chronic neurological disease

Davidson, J and Warren-Gash, C. 2022. Clinical codelist - CPRD Aurum - chronic neurological disease. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002817.

Davidson, J and Warren-Gash, C. Clinical codelist - CPRD Aurum - chronic neurological disease [Internet]. London School of Hygiene & Tropical Medicine; 2022. Available from: https://doi.org/10.17037/DATA.00002817.

Davidson, J and Warren-Gash, C (2022). Clinical codelist - CPRD Aurum - chronic neurological disease. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002817.

Description

Keywords

Methods

Data capture method Observation
Data Collection Period
FromTo
March 2020March 2020
Date (Date submitted to LSHTM repository) 12 February 2022
Language(s) of written materials English

People & Groups

Data Creators Davidson, J and Warren-Gash, C
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Research Centre Electronic Health Record Research Group
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom

Projects

Funders
ProjectFunderGrant NumberFunder URI
Davidson_2022_covid_cohortBritish Heart FoundationUNSPECIFIEDhttp://dx.doi.org/10.13039/501100000274
Davidson_2022_covid_cohortWellcome TrustUNSPECIFIEDhttp://dx.doi.org/10.13039/100010269
Davidson_2022_covid_cohortBritish Medical AssociationUNSPECIFIEDUNSPECIFIED

Additional Information

Date Deposited 16 Mar 2022 12:31
Last Modified 16 Mar 2022 15:24
Publisher London School of Hygiene & Tropical Medicine

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Data / Code

neuro_aurum_mar20 Download

Filename: neuro_aurum_mar20.txt

Description: SNOMED codes for a clinical diagnosis of, or clinical review specific to, a neurological disease such as Parkinson’s disease, motor neurone disease, multiple sclerosis (MS) or cerebral palsy

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Content type: Dataset

File size: 80kB

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