Evidence map›Paper›PMID 38688691›Full record

ArticleRMD open2024

Thyroid disease in ANCA-associated vasculitis: a clinical and epidemiological study.

Anna Wilding, Rona Smith, David Jayne, Mårten Segelmark, Aladdin J Mohammad

Abstract read
In one paragraph

Article in RMD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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.

Anna WildingClinical Sciences, Department of Nephrology, Skåne University Hospital, Lund University, Lund, Sweden anna.wilding@med.lu.se.ORCID 0000-0002-0159-4934
Rona SmithDepartment of Medicine, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7438-5156
David JayneDepartment of Medicine, Cambridge University, Cambridge, UK.ORCID 0000-0002-1712-0637
Mårten SegelmarkClinical Sciences, Department of Nephrology, Skåne University Hospital, Lund University, Lund, Sweden.ORCID 0000-0002-1221-0772
Aladdin J MohammadDepartment of Medicine, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7169-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe clinical and laboratory characteristics and outcomes in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) and thyroid disease (TD). We also aimed to calculate incidence and identify predictors of TD in two large cohorts of patients with AAV.

methodsThe study comprised 644 patients with AAV in a population-based cohort from southern Sweden (n=325) and a cohort from a specialised vasculitis centre in Cambridge, UK (n=319). Diagnosis and classification of AAV and TD were confirmed by medical record review. Person-years (PY) of follow-up were calculated from AAV diagnosis to the earliest of TD, death or the end of study. Cox-regression analysis was employed to study predictors of TD.

resultsAt AAV diagnosis, 100 individuals (15.5%, 77 females) had TD, 59 had myeloperoxidase (MPO)-ANCA+ and 34 had proteinase-3 (PR3)-ANCA+. Patients with TD tended to have lower C reactive protein, lower haemoglobin and fewer constitutional symptoms. Survival and renal survival was greater in those patients with AAV with pre-existing TD. During 4522 PY of follow-up, a further 29 subjects developed TD, yielding an incidence rate of 641/100 000 PY. No analysed factor predicted de novo TD in AAV. The prevalence of TD among patients with AAV in southern Sweden was 18%.

conclusionTD is a common comorbidity in AAV, affecting nearly one in five. While TD diagnosis is more common in females and MPO-ANCA+, these factors do not predict de novo TD after initiation of AAV treatment, necessitating monitoring of all patients with AAV with respect to this comorbidity.

Indexed as

Antibodies, Antineutrophil CytoplasmicAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisThyroid DiseasesAdultAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedMyeloblastinPeroxidaseRisk FactorsSwedenAntibodies, Antineutrophil CytoplasmicBiomarkersMyeloblastinPeroxidaseepidemiologyincidenceprevalencevasculitis

Identifiers

PMID38688691
PMCPMC11086533

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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.