Evidence map›Paper›PMID 38595770›Full record

ArticleClinical epidemiology2024

A Harmonised Approach to Curating Research-Ready Datasets for Asthma, Chronic Obstructive Pulmonary Disease (COPD) and Interstitial Lung Disease (ILD) in England, Wales and Scotland Using Clinical Practice Research Datalink (CPRD), Secure Anonymised Information Linkage (SAIL) Databank and DataLoch.

Sara Hatam, Sean Timothy Scully, Sarah Cook, Hywel T Evans, Alastair Hume, Constantinos Kallis, Ian Farr, Chris Orton, Aziz Sheikh, Jennifer K Quint

Abstract read
In one paragraph

Article in Clinical epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sara Hatam *Usher Institute, The University of Edinburgh, Edinburgh, UK.
Sean Timothy Scully *Population Data Science, Swansea University Medical School, Swansea, UK.
Sarah Cook *School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-1250-2967
Hywel T Evans *Population Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0001-6745-4187
Alastair HumeEPCC, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-8322-9182
Constantinos KallisSchool of Public Health, Imperial College London, London, UK.
Ian FarrPopulation Data Science, Swansea University Medical School, Swansea, UK.
Chris OrtonPopulation Data Science, Swansea University Medical School, Swansea, UK.
Aziz SheikhUsher Institute, The University of Edinburgh, Edinburgh, UK.
Jennifer K QuintSchool of Public Health, Imperial College London, London, UK.ORCID 0000-0003-0149-4869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic healthcare records (EHRs) are an important resource for health research that can be used to improve patient outcomes in chronic respiratory diseases. However, consistent approaches in the analysis of these datasets are needed for coherent messaging, and when undertaking comparative studies across different populations. Methods and Results: We developed a harmonised curation approach to generate comparable patient cohorts for asthma, chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) using datasets from within Clinical Practice Research Datalink (CPRD; for England), Secure Anonymised Information Linkage (SAIL; for Wales) and DataLoch (for Scotland) by defining commonly derived variables consistently between the datasets. By working in parallel on the curation methodology used for CPRD, SAIL and DataLoch for asthma, COPD and ILD, we were able to highlight key differences in coding and recording between the databases and identify solutions to enable valid comparisons. Conclusion: Codelists and metadata generated have been made available to help re-create the asthma, COPD and ILD cohorts in CPRD, SAIL and DataLoch for different time periods, and provide a starting point for the curation of respiratory datasets in other EHR databases, expediting further comparable respiratory research.

Indexed as

asthmaCOPDdata curationharmonisationHERILD

Identifiers

PMID38595770
PMCPMC11002787

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.