| Literature DB >> 30457569 |
J Harry Caufield1,2, Yijiang Zhou1,2,3, Anders O Garlid1,2, Shaun P Setty4, David A Liem1,2,5, Quan Cao1,2, Jessica M Lee1,2, Sanjana Murali1,2, Sarah Spendlove1,2, Wei Wang1,6,7,8, Li Zhang3, Yizhou Sun1,7, Alex Bui1,6,9, Henning Hermjakob1,10, Karol E Watson1,5, Peipei Ping1,2,5,6,8.
Abstract
Clinical case reports (CCRs) provide an important means of sharing clinical experiences about atypical disease phenotypes and new therapies. However, published case reports contain largely unstructured and heterogeneous clinical data, posing a challenge to mining relevant information. Current indexing approaches generally concern document-level features and have not been specifically designed for CCRs. To address this disparity, we developed a standardized metadata template and identified text corresponding to medical concepts within 3,100 curated CCRs spanning 15 disease groups and more than 750 reports of rare diseases. We also prepared a subset of metadata on reports on selected mitochondrial diseases and assigned ICD-10 diagnostic codes to each. The resulting resource, Metadata Acquired from Clinical Case Reports (MACCRs), contains text associated with high-level clinical concepts, including demographics, disease presentation, treatments, and outcomes for each report. Our template and MACCR set render CCRs more findable, accessible, interoperable, and reusable (FAIR) while serving as valuable resources for key user groups, including researchers, physician investigators, clinicians, data scientists, and those shaping government policies for clinical trials.Entities:
Mesh:
Year: 2018 PMID: 30457569 PMCID: PMC6244181 DOI: 10.1038/sdata.2018.258
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444