-
Je něco špatně v tomto záznamu ?
Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying
K. Gisslander, M. Rutherford, L. Aslett, N. Basu, F. Dradin, L. Hederman, Z. Hruskova, H. Kardaoui, P. Lamprecht, S. Lichołai, J. Musial, D. O'Sullivan, X. Puechal, J. Scott, M. Segelmark, R. Straka, B. Terrier, V. Tesar, M. Tesi, A. Vaglio, D....
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu metaanalýza, časopisecké články
Grantová podpora
Wellcome Trust - United Kingdom
NLK
ProQuest Central
od 1939-01-01 do Před 6 měsíci
Health & Medicine (ProQuest)
od 1939-01-01 do Před 6 měsíci
Family Health Database (ProQuest)
od 1939-01-01 do Před 6 měsíci
ROAD: Directory of Open Access Scholarly Resources
PubMed
37907255
DOI
10.1136/ard-2023-224571
Knihovny.cz E-zdroje
- MeSH
- ANCA-asociované vaskulitidy * farmakoterapie epidemiologie komplikace MeSH
- granulomatóza s polyangiitidou * farmakoterapie epidemiologie komplikace MeSH
- lidé MeSH
- mikroskopická polyangiitida * farmakoterapie epidemiologie MeSH
- protilátky proti cytoplazmě neutrofilů MeSH
- registrace MeSH
- správnost dat MeSH
- ukládání a vyhledávání informací MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
OBJECTIVES: This 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. METHODS: Through 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. RESULTS: A 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. CONCLUSIONS: In 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.
1st Faculty of Medicine Charles University Prague Czech Republic
2nd Department of Internal Medicine Jagiellonian University Medical College Krakow Poland
ADAPT SFI Centre School of Computer Science and Statistics Trinity College Dublin Dublin Ireland
Clinical Sciences Rheumatology Lund University Lund Sweden
Clinical Trials Unit Medical Center University of Freiburg Faculty of Medicine Freiburg Germany
Department of Clinical Sciences Lund University Lund Sweden
Department of Endocrinology Nephrology and Rheumatology Skåne University Hospital Lund Sweden
Department of Mathematical Science University of Durham Durham UK
Department of Medicine University of Cambridge Cambridge UK
Department of Nephrology General University Hospital Prague Czech Republic
Department of Rheumatology and Clinical Immunology Universitat zu Lubeck Lubeck Germany
French Vasculitis Study Group Paris France
General University Hospital Prague Praha Czech Republic
National Referral Center for Rare Systemic Autoimmune Diseases Hospital Cochin Paris France
Nephrology and Dialysis Unit Meyer Children's Hospital IRCCS Firenze Italy
School of Computer Science and Statistics Trinity College Dublin Dublin Ireland
School of Infection and Immunity University of Glasgow Glasgow UK
Telemedicine Technologies Liège Belgium
Trinity Kidney Centre Trinity Translational Medicine Institute Trinity College Dublin Dublin Ireland
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24007674
- 003
- CZ-PrNML
- 005
- 20240423160158.0
- 007
- ta
- 008
- 240412s2024 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1136/ard-2023-224571 $2 doi
- 035 __
- $a (PubMed)37907255
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Gisslander, Karl $u Clinical Sciences, Rheumatology, Lund University, Lund, Sweden karl.gisslander@med.lu.se $1 https://orcid.org/0000000319152656
- 245 10
- $a Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying / $c K. Gisslander, M. Rutherford, L. Aslett, N. Basu, F. Dradin, L. Hederman, Z. Hruskova, H. Kardaoui, P. Lamprecht, S. Lichołai, J. Musial, D. O'Sullivan, X. Puechal, J. Scott, M. Segelmark, R. Straka, B. Terrier, V. Tesar, M. Tesi, A. Vaglio, D. Wandrei, A. White, K. Wójcik, B. Yaman, MA. Little, AJ. Mohammad, FAIRVASC consortium
- 520 9_
- $a OBJECTIVES: This 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. METHODS: Through 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. RESULTS: A 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. CONCLUSIONS: In 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.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a granulomatóza s polyangiitidou $x farmakoterapie $x epidemiologie $x komplikace $7 D014890
- 650 _2
- $a správnost dat $7 D000068598
- 650 12
- $a ANCA-asociované vaskulitidy $x farmakoterapie $x epidemiologie $x komplikace $7 D056648
- 650 12
- $a mikroskopická polyangiitida $x farmakoterapie $x epidemiologie $7 D055953
- 650 _2
- $a protilátky proti cytoplazmě neutrofilů $7 D019268
- 650 _2
- $a registrace $7 D012042
- 650 _2
- $a ukládání a vyhledávání informací $7 D016247
- 655 _2
- $a metaanalýza $7 D017418
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Rutherford, Matthew $u School of Infection and Immunity, University of Glasgow, Glasgow, UK $1 https://orcid.org/0000000156262470
- 700 1_
- $a Aslett, Louis $u Department of Mathematical Science, University of Durham, Durham, UK $1 https://orcid.org/000000032211233X
- 700 1_
- $a Basu, Neil $u School of Infection and Immunity, University of Glasgow, Glasgow, UK $1 https://orcid.org/0000000342463145
- 700 1_
- $a Dradin, François $u Telemedicine Technologies, Liège, Belgium $1 https://orcid.org/0009000933770996
- 700 1_
- $a Hederman, Lucy $u ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland $1 https://orcid.org/0000000160734063
- 700 1_
- $a Hruskova, Zdenka $u Department of Nephrology, General University Hospital, Prague, Czech Republic $u First Faculty of Medicine, Charles University, Prague, Czech Republic $1 https://orcid.org/000000022658365X $7 xx0146108
- 700 1_
- $a Kardaoui, Hicham $u National Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France $u Université Paris Cité, Paris, France $1 https://orcid.org/0009000884030982
- 700 1_
- $a Lamprecht, Peter $u Department of Rheumatology and Clinical Immunology, Universitat zu Lubeck, Lubeck, Germany $1 https://orcid.org/000000015929868X
- 700 1_
- $a Lichołai, Sabina $u Division of Molecular Biology and Clinical Genetics, Jagiellonian University Medical College, Krakow, Poland $1 https://orcid.org/0000000170082492
- 700 1_
- $a Musial, Jacek $u 2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland $1 https://orcid.org/0000000209551808
- 700 1_
- $a O'Sullivan, Declan $u ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland $1 https://orcid.org/0000000310903548
- 700 1_
- $a Puechal, Xavier $u National Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France $u French Vasculitis Study Group, Paris, France $1 https://orcid.org/0000000335739203
- 700 1_
- $a Scott, Jennifer $u ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland $u Trinity Kidney Centre, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland $1 https://orcid.org/0000000188375250
- 700 1_
- $a Segelmark, Mårten $u Department of Clinical Sciences, Lund University, Lund, Sweden $u Department of Endocrinology, Nephrology and Rheumatology, Skåne University Hospital, Lund, Sweden $1 https://orcid.org/0000000212210772
- 700 1_
- $a Straka, Richard $u General University Hospital in Prague, Praha, Czech Republic $1 https://orcid.org/0009000725723941
- 700 1_
- $a Terrier, Benjamin $u National Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France $u French Vasculitis Study Group, Paris, France $1 https://orcid.org/0000000166127336
- 700 1_
- $a Tesar, Vladimir $u Department of Nephrology, General University Hospital, Prague, Czech Republic $u First Faculty of Medicine, Charles University, Prague, Czech Republic $1 https://orcid.org/0000000169820689 $7 jn20000402349
- 700 1_
- $a Tesi, Michelangelo $u Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Firenze, Italy $1 https://orcid.org/0000000155009991
- 700 1_
- $a Vaglio, Augusto $u Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Firenze, Italy $1 https://orcid.org/0000000238149172 $7 ntk20231193035
- 700 1_
- $a Wandrei, Dagmar $u Clinical Trials Unit, Medical Center, University of Freiburg Faculty of Medicine, Freiburg, Germany $1 https://orcid.org/000000028144162X
- 700 1_
- $a White, Arthur $u School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland $1 https://orcid.org/0000000272685163
- 700 1_
- $a Wójcik, Krzysztof $u 2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland $1 https://orcid.org/0000000197862499
- 700 1_
- $a Yaman, Beyza $u ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland $1 https://orcid.org/0000000321300312
- 700 1_
- $a Little, Mark A $u ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland $u Trinity Kidney Centre, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland $1 https://orcid.org/000000016003397X
- 700 1_
- $a Mohammad, Aladdin J $u Clinical Sciences, Rheumatology, Lund University, Lund, Sweden $u Department of Medicine, University of Cambridge, Cambridge, UK $1 https://orcid.org/0000000271696936
- 710 2_
- $a FAIRVASC consortium
- 773 0_
- $w MED00000444 $t Annals of the rheumatic diseases $x 1468-2060 $g Roč. 83, č. 1 (2024), s. 112-120
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/37907255 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20240412 $b ABA008
- 991 __
- $a 20240423160154 $b ABA008
- 999 __
- $a ok $b bmc $g 2081579 $s 1217441
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 83 $c 1 $d 112-120 $e 20240102 $i 1468-2060 $m Annals of the rheumatic diseases $n Ann Rheum Dis $x MED00000444
- GRA __
- $p Wellcome Trust $2 United Kingdom
- LZP __
- $a Pubmed-20240412