Bookmarks

Clinical Practice Research Datalink (CPRD)

Description

Clinical Practice Research Datalink (Cprd)

National Radiotherapy Dataset (RTDS) for CPRD GOLD

Dataset population size: 901,965

Health and disease

Pregnancy Register for CPRD Aurum

Dataset population size: 22,279,945

Health and disease

CPRD Aurum ICNARC

Dataset population size: 14,207

Health and disease

Dataset population size: 378,135

Health and disease

Dataset population size: 21,883,011

Health and disease

Mother-Baby Link for CPRD GOLD

Dataset population size: 1,691,528

Health and disease

Completeness and representativeness of ethnicity data in the UK Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES)

Clinical Practice Research Datalink (CPRD)

Completeness and representativeness of small area socioeconomic data linked with the UK Clinical Practice Research Datalink (CPRD)

Clinical Practice Research Datalink (CPRD)

Resource use and survival evaluation using UK data from CPRD, HES and NCRAS databases among patients with Neuroendocrine Tumours (NETs): A retrospective analysis

CPRD, Novartis Ltd

To determine whether four medications (clopidogrel, warfarin, nitrates, and prednisolone) associated with increased risk of upper gastrointestinal cancer from a study that screened 250 prescription medications using GP data from Scotland (PCCIUR) are also associated with increased risk in the CPRD

CPRD, Queen’s University Belfast

Characterising the young chronic obstructive pulmonary disease (COPD) patient in the United Kingdom: A descriptive study looking at clinical and aetiological factors utilising Clinical Practice Research Datalink (CPRD)

Boehringer Ingelheim

Comparison of modelling methods for risk prediction of cardiovascular outcomes in patients with hypertension

Eli Lilly & Co Ltd

Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study.

Banerjee A, Dashtban A, Chen S, Pasea L, Thygesen JH, Fatemifar G, Tyl B, Dyszynski T, Asselbergs FW, Lund LH, Lumbers T, Denaxas S, Hemingway H.

2023

Predicting the risk of acute kidney injury in primary care: derivation and validation of STRATIFY-AKI.

Koshiaris C, Archer L, Lay-Flurrie S, Snell KI, Riley RD, Stevens R, Banerjee A, Usher-Smith JA, Clegg A, Payne RA, Ogden M, Hobbs FR, McManus RJ, Sheppard JP.

2023

Translating and evaluating historic phenotyping algorithms using SNOMED CT.

Elkheder M, Gonzalez-Izquierdo A, Qummer Ul Arfeen M, Kuan V, Lumbers RT, Denaxas S, Shah AD.

2023

Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study.

Mizani MA, Dashtban A, Pasea L, Lai AG, Thygesen J, Tomlinson C, Handy A, Mamza JB, Morris T, Khalid S, Zaccardi F, Macleod MJ, Torabi F, Canoy D, Akbari A, Berry C, Bolton T, Nolan J, Khunti K, Denaxas S, Hemingway H, Sudlow C, Banerjee A, CVD-COVID-UK Consortium.

2023

Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study.

Jordan KP, Rathod-Mistry T, van der Windt DA, Bailey J, Chen Y, Clarson L, Denaxas S, Hayward RA, Hemingway H, Kyriacou T, Mamas MA.

2023

Combinations of medicines in patients with polypharmacy aged 65-100 in primary care: Large variability in risks of adverse drug related and emergency hospital admissions.

Fahmi A, Wong D, Walker L, Buchan I, Pirmohamed M, Sharma A, Cant H, Ashcroft DM, van Staa TP.

2023