Evidence map›Paper›PMID 37907255›Full record

SynthesisAnnals of the rheumatic diseases2024

Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying.

Karl Gisslander, Matthew Rutherford, Louis Aslett, Neil Basu, François Dradin, Lucy Hederman, Zdenka Hruskova, Hicham Kardaoui, Peter Lamprecht, Sabina Lichołai and 17 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Annals of the rheumatic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. The intersection of health information management and clinical registries.Health information management : journal of the Health Information Management Association of Australia · 2026
    Article
  3. Making the case for an International Childhood Cancer Data Partnership.Journal of the National Cancer Institute · 2025
    Article
  4. 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

27 authors.

Karl GisslanderClinical Sciences, Rheumatology, Lund University, Lund, Sweden karl.gisslander@med.lu.se.ORCID http://orcid.org/0000-0003-1915-2656
Matthew RutherfordSchool of Infection and Immunity, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-5626-2470
Louis AslettDepartment of Mathematical Science, University of Durham, Durham, UK.ORCID http://orcid.org/0000-0003-2211-233X
Neil BasuSchool of Infection and Immunity, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-4246-3145
François DradinTelemedicine Technologies, Liège, Belgium.ORCID http://orcid.org/0009-0009-3377-0996
Lucy HedermanADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0001-6073-4063
Zdenka HruskovaDepartment of Nephrology, General University Hospital, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-2658-365X
Hicham KardaouiNational Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France.ORCID http://orcid.org/0009-0008-8403-0982
Peter LamprechtDepartment of Rheumatology and Clinical Immunology, Universitat zu Lubeck, Lubeck, Germany.ORCID http://orcid.org/0000-0001-5929-868X
Sabina LichołaiDivision of Molecular Biology and Clinical Genetics, Jagiellonian University Medical College, Krakow, Poland.ORCID http://orcid.org/0000-0001-7008-2492
Jacek Musial2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.ORCID http://orcid.org/0000-0002-0955-1808
Declan O'SullivanADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0003-1090-3548
Xavier PuechalNational Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France.ORCID http://orcid.org/0000-0003-3573-9203
Jennifer ScottADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0001-8837-5250
Mårten SegelmarkDepartment of Clinical Sciences, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-1221-0772
Richard StrakaGeneral University Hospital in Prague, Praha, Czech Republic.ORCID http://orcid.org/0009-0007-2572-3941
Benjamin TerrierNational Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France.ORCID http://orcid.org/0000-0001-6612-7336
Vladimir TesarDepartment of Nephrology, General University Hospital, Prague, Czech Republic.ORCID http://orcid.org/0000-0001-6982-0689
Michelangelo TesiNephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Firenze, Italy.ORCID http://orcid.org/0000-0001-5500-9991
Augusto VaglioNephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Firenze, Italy.ORCID http://orcid.org/0000-0002-3814-9172
Dagmar WandreiClinical Trials Unit, Medical Center, University of Freiburg Faculty of Medicine, Freiburg, Germany.ORCID http://orcid.org/0000-0002-8144-162X
Arthur WhiteSchool of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0002-7268-5163
Krzysztof Wójcik2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.ORCID http://orcid.org/0000-0001-9786-2499
Beyza YamanADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0003-2130-0312
Mark A Little *ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.ORCID http://orcid.org/0000-0001-6003-397X
Aladdin J Mohammad *Clinical Sciences, Rheumatology, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-7169-6936
FAIRVASC consortium

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesThis study aims to describe the data structure and harmonisation process, explore data quality and define characteristics, treatment, and outcomes of patients across six federated antineutrophil cytoplasmic antibody-associated vasculitis (AAV) registries.

methodsThrough creation of the vasculitis-specific Findable, Accessible, Interoperable, Reusable, VASCulitis ontology, we harmonised the registries and enabled semantic interoperability. We assessed data quality across the domains of uniqueness, consistency, completeness and correctness. Aggregated data were retrieved using the semantic query language SPARQL Protocol and Resource Description Framework Query Language (SPARQL) and outcome rates were assessed through random effects meta-analysis.

resultsA total of 5282 cases of AAV were identified. Uniqueness and data-type consistency were 100% across all assessed variables. Completeness and correctness varied from 49%-100% to 60%-100%, respectively. There were 2754 (52.1%) cases classified as granulomatosis with polyangiitis (GPA), 1580 (29.9%) as microscopic polyangiitis and 937 (17.7%) as eosinophilic GPA. The pattern of organ involvement included: lung in 3281 (65.1%), ear-nose-throat in 2860 (56.7%) and kidney in 2534 (50.2%). Intravenous cyclophosphamide was used as remission induction therapy in 982 (50.7%), rituximab in 505 (17.7%) and pulsed intravenous glucocorticoid use was highly variable (11%-91%). Overall mortality and incidence rates of end-stage kidney disease were 28.8 (95% CI 19.7 to 42.2) and 24.8 (95% CI 19.7 to 31.1) per 1000 patient-years, respectively.

conclusionsIn the largest reported AAV cohort-study, we federated patient registries using semantic web technologies and highlighted concerns about data quality. The comparison of patient characteristics, treatment and outcomes was hampered by heterogeneous recruitment settings.

Indexed as

Anti-Neutrophil Cytoplasmic Antibody-Associated VasculitisGranulomatosis with PolyangiitisMicroscopic PolyangiitisAntibodies, Antineutrophil CytoplasmicData AccuracyHumansInformation Storage and RetrievalRegistriesAntibodies, Antineutrophil Cytoplasmicepidemiologygranulomatosis with polyangiitisquality indicators, health caresystemic vasculitis

Identifiers

PMID37907255
PMCPMC10804071

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.