Evidence map›Paper›PMID 41579286›Full record

ArticleEuropean journal of epidemiology2026

Academic impact and research data utilisation of the clinical practice research datalink: scientometric analyses.

Marta Pineda-Moncusí, Maria Rahman, Eleanor L Axson, Susan Hodgson, Antonella Delmestri

Erratum issuedAbstract read
In one paragraph

Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Marta Pineda-MoncusíNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Health Data Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-0567-0137
Maria RahmanClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK.
Eleanor L AxsonClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK.ORCID http://orcid.org/0000-0001-9494-2389
Susan HodgsonClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK.ORCID http://orcid.org/0000-0001-8519-8586
Antonella DelmestriNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Health Data Sciences, University of Oxford, Oxford, UK. antonella.delmestri@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0003-0388-3403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its establishment in the late 1980s, the UK Clinical Practice Research Datalink (CPRD) has become one of the most widely utilised data resources in both national and international research. Its value lies in the richness, scale and quality of its routinely collected primary care data, as well as the availability of numerous linkable datasets. This study provides comprehensive scientometric analyses of CPRD-related research output, impact, and data usage from 1988 to 2024. A total of 3779 peer-reviewed publications were identified, and for 98.78% of them, enriched bibliometric metadata were retrieved through Scopus and Web of Science. The UK emerged as the leading contributing country, with the United States and Canada ranking second and third. 'McGill University' was the most frequently affiliated institution, followed by the 'University of Manchester' and the 'University of Oxford', with seven UK universities among the top ten. The three journals most frequently publishing CPRD-based research overall, and since 2020, were 'BMJ Open', 'Pharmacoepidemiology and Drug Safety' and 'British Journal of General Practice'. Analyses of primary care data sources utilisation revealed that overall, 86.35% of manuscripts used CPRD GOLD exclusively, 8.39% used both CPRD GOLD and CPRD Aurum, and 4.76% used CPRD Aurum alone, although recent years showed an increased use of CPRD Aurum. Between 2016 and 2024, most articles (80.26%) were associated with CPRD research applications that referenced linked or CPRD algorithm-derived datasets. The three most frequently used were 'Hospital Episode Statistics' (69.77%), 'Small Area Linkages' (62.27%) and 'Office for National Statistics' mortality data (53.28%).

Indexed as

BibliometricsBiomedical ResearchDatabases, FactualAcademiaHumansPrimary Health CareUnited KingdomCPRDEHRElectronic health recordResearch outputScientific production

Identifiers

PMID41579286
PMCPMC12975798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.