Evidence map›Paper›PMID 30264875›Full record

ArticlePharmacoepidemiology and drug safety2019

Exposure measurement error when assessing current glucocorticoid use using UK primary care electronic prescription data.

Rebecca M Joseph, Tjeerd P van Staa, Mark Lunt, Michal Abrahamowicz, William G Dixon

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Rebecca M JosephArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, School of Biological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID 0000-0002-0147-0712
Tjeerd P van StaaHealth eResearch Centre, Centre for Health Informatics, School of Health Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID 0000-0001-9363-742X
Mark LuntArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, School of Biological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID 0000-0002-2391-5575
Michal AbrahamowiczDepartment of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Canada.ORCID 0000-0002-3172-3952
William G DixonArthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, School of Biological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID 0000-0001-5881-4857
Manchester Academic Health Science Centre · GBMcGill University Health Centre · CAUtrecht University · NL

Funding

Arthritis Research UK 20380Department of HealthMedical Research Council G0902272Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

purposeTo quantify misclassification in glucocorticoid (GC) exposure defined using UK primary care prescription data.

methodsA cross-sectional study including patients with rheumatoid arthritis prescribed oral GCs in the past 2 years. Glucocorticoid exposure based on electronic prescription records was compared with participant-reported GC use captured using a paper diary. Prescription data (containing information about prescriptions issued but no dispensing information) was provided by the Clinical Practice Research Datalink. The following variables were defined: current use and dose of oral GCs and if (and when) participants had received a GC injection. For oral GCs, self-reported use was taken to represent "true" exposure. A dataset representing a hypothetical population was generated to assess the impact of the misclassification found for current use.

resultsA total of 67 of 78 study participants (86%) were correctly classified as currently on/off oral GCs; 32/38 (84.2%) participants reporting current GC use and 35/40 (87.5%) participants not reporting current use were correctly classified. Estimated values of current dose were imprecise (correlation coefficient 0.46). Concordance between reported and prescribed GC injections was poor (kappa statistic 0.14). Misclassification bias was demonstrated in the hypothetical population: For "true" relative risks of 1.5, 4, and 9, the "observed" relative risks were 1.33, 2.48, and 3.58, respectively.

conclusionsMisclassification of current use of oral GCs was low but sufficient to lead to significant bias. Researchers should take care to assess the likely impact of exposure misclassification on their analyses.

Indexed as

Data AccuracyAdministration, OralAgedCross-Sectional StudiesDiaries as TopicDose-Response Relationship, DrugDrug PrescriptionsElectronic PrescribingEnglandFemaleGlucocorticoidsHumansMaleMiddle AgedPrednisolonePrimary Health CareGlucocorticoidsPrednisoloneelectronic health recordsglucocorticoidspharmacoepidemiologyvalidity (epidemiology)

Identifiers

PMID30264875
PMCPMC6492099
OpenAlexW2894458487

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.