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Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era
BACKGROUND: Castleman disease (CD) describes a group of rare and poorly understood lymphoproliferative disorders that include unicentric CD (UCD), Human Herpes Virus-8 (HHV8)-associated multicentric CD (HHV8 + MCD), and HHV8-negative/idiopathic MCD (iMCD). Efforts to advance research and drug discov...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625003/ https://www.ncbi.nlm.nih.gov/pubmed/31296233 http://dx.doi.org/10.1186/s13023-019-1145-y |
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author | Suarez, Alexander Reilly, Curran Fajgenbaum, David C. |
author_facet | Suarez, Alexander Reilly, Curran Fajgenbaum, David C. |
author_sort | Suarez, Alexander |
collection | PubMed |
description | BACKGROUND: Castleman disease (CD) describes a group of rare and poorly understood lymphoproliferative disorders that include unicentric CD (UCD), Human Herpes Virus-8 (HHV8)-associated multicentric CD (HHV8 + MCD), and HHV8-negative/idiopathic MCD (iMCD). Efforts to advance research and drug discovery for CD have been slowed by challenges shared by other rare diseases, such as collecting and centralizing data and biospecimens for research. To collect disease characteristic data and identify individuals interested in contributing biospecimens for research, a global research organization - the Castleman Disease Collaborative Network (CDCN) - established an international Contact Database and electronic repository (E-repository). Herein, we performed analyses of these datasets to further characterize CD and gain insights into research biospecimen acquisition. RESULTS: Descriptive statistical analyses were performed on 891 participants from the Contact Database and 166 patients in the E-repository. The median age of patients at the time of enrollment in the Contact Database and E-repository was 42 ± 15.7 and 35 ± 14.8, respectively. The E-repository had increased representation from patients with MCD and the iMCD subtype compared to other sub-groups. Though the majority of participants were from the USA, a total of 49 countries on 6 continents were represented. Several patient characteristics in the Contact Database were associated with subsequent enrollment in the E-repository. There were significantly more MCD patients (p < 0.0001) and females (p = 0.002) enrolled in the E-repository compared to the Contact Database. Patient’s year of birth, date of registration, preferred method of communication, and relationship to the patient were also significantly associated with enrollment in the e-Repository. CONCLUSIONS: This study of the largest- dataset of CD patients worldwide provides insights into disease phenotypes, characteristics of patients interested in contributing data and biospecimens for research, and methods for successfully acquiring data and biospecimens. Generally, the factors associated with enrollment in the E-repository represented severity of disease subtype, proximity to the research, and patient motivation. We hope that these findings and the sample documentation (e.g., electronic consent, recruitment materials) provided with this article will assist future rare disease efforts with overcoming hurdles. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13023-019-1145-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6625003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66250032019-07-23 Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era Suarez, Alexander Reilly, Curran Fajgenbaum, David C. Orphanet J Rare Dis Research BACKGROUND: Castleman disease (CD) describes a group of rare and poorly understood lymphoproliferative disorders that include unicentric CD (UCD), Human Herpes Virus-8 (HHV8)-associated multicentric CD (HHV8 + MCD), and HHV8-negative/idiopathic MCD (iMCD). Efforts to advance research and drug discovery for CD have been slowed by challenges shared by other rare diseases, such as collecting and centralizing data and biospecimens for research. To collect disease characteristic data and identify individuals interested in contributing biospecimens for research, a global research organization - the Castleman Disease Collaborative Network (CDCN) - established an international Contact Database and electronic repository (E-repository). Herein, we performed analyses of these datasets to further characterize CD and gain insights into research biospecimen acquisition. RESULTS: Descriptive statistical analyses were performed on 891 participants from the Contact Database and 166 patients in the E-repository. The median age of patients at the time of enrollment in the Contact Database and E-repository was 42 ± 15.7 and 35 ± 14.8, respectively. The E-repository had increased representation from patients with MCD and the iMCD subtype compared to other sub-groups. Though the majority of participants were from the USA, a total of 49 countries on 6 continents were represented. Several patient characteristics in the Contact Database were associated with subsequent enrollment in the E-repository. There were significantly more MCD patients (p < 0.0001) and females (p = 0.002) enrolled in the E-repository compared to the Contact Database. Patient’s year of birth, date of registration, preferred method of communication, and relationship to the patient were also significantly associated with enrollment in the e-Repository. CONCLUSIONS: This study of the largest- dataset of CD patients worldwide provides insights into disease phenotypes, characteristics of patients interested in contributing data and biospecimens for research, and methods for successfully acquiring data and biospecimens. Generally, the factors associated with enrollment in the E-repository represented severity of disease subtype, proximity to the research, and patient motivation. We hope that these findings and the sample documentation (e.g., electronic consent, recruitment materials) provided with this article will assist future rare disease efforts with overcoming hurdles. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13023-019-1145-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-11 /pmc/articles/PMC6625003/ /pubmed/31296233 http://dx.doi.org/10.1186/s13023-019-1145-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Suarez, Alexander Reilly, Curran Fajgenbaum, David C. Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era |
title | Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era |
title_full | Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era |
title_fullStr | Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era |
title_full_unstemmed | Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era |
title_short | Quantitative analysis of a rare disease network’s international contact database and E-repository provides insights into biobanking in the electronic consent era |
title_sort | quantitative analysis of a rare disease network’s international contact database and e-repository provides insights into biobanking in the electronic consent era |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625003/ https://www.ncbi.nlm.nih.gov/pubmed/31296233 http://dx.doi.org/10.1186/s13023-019-1145-y |
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