Evidence map›Paper›PMID 38251486›Full record

Observational studyThe Lancet. Rheumatology2023

Gout incidence and management during the COVID-19 pandemic in England, UK: a nationwide observational study using OpenSAFELY.

Mark D Russell, Jon Massey, Edward Roddy, Brian MacKenna, Seb Bacon, Ben Goldacre, Colm D Andrews, George Hickman, Amir Mehrkar, Arti Mahto and 11 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 1 country.

Mark D RussellCentre for Rheumatic Diseases, King's College London, London, UK. Electronic address: mark.russell@kcl.ac.uk.
Jon MasseyBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Edward RoddySchool of Medicine, Keele University, Keele, UK.
Brian MacKennaBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Seb BaconBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ben GoldacreBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Colm D AndrewsBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
George HickmanBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Amir MehrkarBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Arti MahtoDepartment of Rheumatology, King's College Hospital NHS Foundation Trust, London, UK.
Andrew I RutherfordDepartment of Rheumatology, King's College Hospital NHS Foundation Trust, London, UK.
Samir PatelCentre for Rheumatic Diseases, King's College London, London, UK.
Maryam A AdasCentre for Rheumatic Diseases, King's College London, London, UK.
Edward AlveynCentre for Rheumatic Diseases, King's College London, London, UK.
Deepak NagraCentre for Rheumatic Diseases, King's College London, London, UK.
Katie BechmanCentre for Rheumatic Diseases, King's College London, London, UK.
Joanna M LedinghamRheumatology Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Joanna HudsonDepartment of Psychology, Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Sam NortonCentre for Rheumatic Diseases, King's College London, London, UK.
Andrew P CopeCentre for Rheumatic Diseases, King's College London, London, UK.
James B GallowayCentre for Rheumatic Diseases, King's College London, London, UK.
King's College London · GBUniversity of Oxford · GBKing's College Hospital NHS Foundation Trust · GBKeele University · GBPortsmouth Hospitals NHS Trust · GB

Funding

Department of Health COV-LT-0009Department of Health COV-LT2-0073Medical Research Council MC_PC_20030Medical Research Council MC_PC_20058Medical Research Council MC_PC_20059Medical Research Council MR/V015737/1Medical Research Council MR/W016729/1Wellcome Trust
6 · The paper itself

Abstract

backgroundGout is the most prevalent inflammatory arthritis, yet one of the worst managed. Our objective was to assess how the COVID-19 pandemic impacted incidence and quality of care for people with gout in England, UK.

methodsWith the approval of National Health Service England, we did a population-level cohort study using primary care and hospital electronic health record data for 17·9 million adults registered with general practices using TPP health record software, via the OpenSAFELY platform. The study period was from March 1, 2015, to Feb 28, 2023. Individuals aged 18-110 years were defined as having incident gout if they were assigned index diagnostic codes for gout, were registered with TPP practices in England for at least 12 months before diagnosis, did not receive prescriptions for urate-lowering therapy more than 30 days before diagnosis, and had not been admitted to hospital or attended an emergency department for gout flares more than 30 days before diagnosis. Outcomes assessed were incidence and prevalence of people with recorded gout diagnoses, incidence of gout hospitalisations, initiation of urate-lowering therapy, and attainment of serum urate targets (≤360 μmol/L).

findingsFrom a reference population of 17 865 145 adults, 246 695 individuals were diagnosed with incident gout. The mean age of individuals with incident gout was 61·3 years (SD 16·2). 66 265 (26·9%) of 246 695 individuals were female, 180 430 (73·1%) were male, and 189 035 (90·9%) of 208 050 individuals with available ethnicity data were White. Incident gout diagnoses decreased by 30·9% in the year beginning March, 2020, compared with the preceding year (1·23 diagnoses vs 1·78 diagnoses per 1000 adults). Gout prevalence was 3·07% in 2015-16, and 3·21% in 2022-23. Gout hospitalisations decreased by 30·1% in the year commencing March, 2020, compared with the preceding year (9·6 admissions vs 13·7 admissions per 100 000 adults). Of 228 095 people with incident gout and available follow-up, 66 560 (29·2%) were prescribed urate-lowering therapy within 6 months. Of 65 305 individuals who initiated urate-lowering therapy with available follow-up, 16 790 (25·7%) attained a serum urate concentration of 360 μmol/L or less within 6 months of urate-lowering therapy initiation. In interrupted time-series analyses, urate-lowering therapy prescribing improved modestly during the pandemic, compared with pre-pandemic, whereas urate target attainment was similar.

interpretationUsing gout as an exemplar disease, we showed the complexity of how health care was impacted during the COVID-19 pandemic. We observed a reduction in gout diagnoses but no effect on treatment metrics. We showed how country-wide, routinely collected data can be used to map disease epidemiology and monitor care quality.

fundingNone.

Indexed as

COVID-19GoutAdultCohort StudiesEnglandFemaleHumansIncidenceMaleMiddle AgedPandemicsState MedicineUric AcidUric Acid

Identifiers

PMID38251486
PMCPMC7616140
OpenAlexW4386319529

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.