Concordance and timing in recording cancer events in primary care, hospital and mortality records for patients with and without psoriasis: A population-based cohort study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 05 02 2021
accepted: 30 06 2021
entrez: 19 7 2021
pubmed: 20 7 2021
medline: 10 11 2021
Statut: epublish

Résumé

The association between psoriasis and the risk of cancer has been investigated in numerous studies utilising electronic health records (EHRs), with conflicting results in the extent of the association. To assess concordance and timing of cancer recording between primary care, hospital and death registration data for people with and without psoriasis. Cohort studies delineated using primary care EHRs from the Clinical Practice Research Datalink (CPRD) GOLD and Aurum databases, with linkage to hospital episode statistics (HES), Office for National Statistics (ONS) mortality data and indices of multiple deprivation (IMD). People with psoriasis were matched to those without psoriasis by age, sex and general practice. Cancer recording between databases was investigated by proportion concordant, that being the presence of cancer record in both source and comparator datasets. Delay in recording cancer diagnoses between CPRD and HES records and predictors of discordance were also assessed. 58,904 people with psoriasis and 350,592 comparison patients were included using CPRD GOLD; whereas 213,400 people with psoriasis and 1,268,998 comparison patients were included in CPRD Aurum. For all cancer records (excluding keratinocyte), concordance between CPRD and HES was greater than 80%. Concordance for same-site cancer records was markedly lower (<68% GOLD-linked data; <72% Aurum-linked data). Concordance of non-Hodgkin lymphoma and liver cancer recording between CPRD and HES was lower for people with psoriasis compared to those without. Concordance between CPRD and HES is poor when restricted to cancers of the same site, with greater discordance in people with psoriasis for some cancers of specific sites. The use of linked patient-level data is an important step in reducing misclassification of cancer outcomes in epidemiological studies using routinely collected electronic health records.

Sections du résumé

BACKGROUND
The association between psoriasis and the risk of cancer has been investigated in numerous studies utilising electronic health records (EHRs), with conflicting results in the extent of the association.
OBJECTIVES
To assess concordance and timing of cancer recording between primary care, hospital and death registration data for people with and without psoriasis.
METHODS
Cohort studies delineated using primary care EHRs from the Clinical Practice Research Datalink (CPRD) GOLD and Aurum databases, with linkage to hospital episode statistics (HES), Office for National Statistics (ONS) mortality data and indices of multiple deprivation (IMD). People with psoriasis were matched to those without psoriasis by age, sex and general practice. Cancer recording between databases was investigated by proportion concordant, that being the presence of cancer record in both source and comparator datasets. Delay in recording cancer diagnoses between CPRD and HES records and predictors of discordance were also assessed.
RESULTS
58,904 people with psoriasis and 350,592 comparison patients were included using CPRD GOLD; whereas 213,400 people with psoriasis and 1,268,998 comparison patients were included in CPRD Aurum. For all cancer records (excluding keratinocyte), concordance between CPRD and HES was greater than 80%. Concordance for same-site cancer records was markedly lower (<68% GOLD-linked data; <72% Aurum-linked data). Concordance of non-Hodgkin lymphoma and liver cancer recording between CPRD and HES was lower for people with psoriasis compared to those without.
CONCLUSIONS
Concordance between CPRD and HES is poor when restricted to cancers of the same site, with greater discordance in people with psoriasis for some cancers of specific sites. The use of linked patient-level data is an important step in reducing misclassification of cancer outcomes in epidemiological studies using routinely collected electronic health records.

Identifiants

pubmed: 34280213
doi: 10.1371/journal.pone.0254661
pii: PONE-D-21-03996
pmc: PMC8289076
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0254661

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: MKR reports receiving research funding from Novo Nordisk, consultancy fees from Novo Nordisk and Roche Diabetes Care, and modest owning of shares in GlaxoSmithKline. CEMG reports receiving honorariums or research grants from AbbVie, Almirall, Celgene, Eli Lilly, Galderma, Janssen, LEO Pharma, Novartis, Pfizer, Sandoz, Sanofi, and UCB Pharma. DMA reports research grants from AbbVie, Almirall, Celgene, Eli Lilly, Janssen, Novartis, UCB, and the Leo Foundation. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All other authors declare that there are no relationships or activities that might bias, or be perceived to bias, their work.

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Auteurs

Alex M Trafford (AM)

Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, United Kingdom.

Rosa Parisi (R)

Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, NIHR School of Primary Care Research, University of Manchester, Manchester, United Kingdom.

Martin K Rutter (MK)

Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), The University of Manchester, Manchester, United Kingdom.
Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, MAHSC, Manchester, United Kingdom.

Evangelos Kontopantelis (E)

Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, NIHR School of Primary Care Research, University of Manchester, Manchester, United Kingdom.

Christopher E M Griffiths (CEM)

Dermatology Centre, Salford Royal NHS Foundation Trust, Faculty of Biology, Medicine and Health, NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, United Kingdom.

Darren M Ashcroft (DM)

Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, United Kingdom.

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