Ontology type: schema:ScholarlyArticle Open Access: True
2013-02
AUTHORS ABSTRACTThe demand for unrelated haematopoietic cell (HPC) donors has risen threefold over the last decade, and is likely to continue to rise over the next 10 years. The time taken from diagnosis to transplant is recognised to adversely affect patient outcome, and provision of unrelated donors (UDs) has been identified as a key source of delay. Obstacles to provision of UD include: delays in referral to a transplant centre, awaiting sibling typing, lack of matched donors (particularly for those from ethnic minorities and/or with rare HLA phenotypes), low- or intermediate-resolution donor HLA typing, donor attrition from the registries, donor ineligibility on grounds of health and difficulties encountered transporting HPC across international borders. There are now over 18 million volunteer donors in registries worldwide, and efficiency has improved, at least in part, because of a switch from paper to electronic searches. As a result, the average time from search request to transplant is estimated to be less than half of what it was two decades ago. Furthermore, registries have developed a number of strategies designed to minimise delays and, ultimately, improve patient outcomes. These include: optimisation of donor numbers and ethnic mix through focused and selective recruitment; high-resolution typing at donor recruitment; cord blood banking with aggressive recruitment in ethnic minorities; early identification of those unlikely to find a match so alternative transplant options may be pursued in a timely manner, through use of HLA-based predictive algorithms; reduction of donor attrition; centralised, registry-based, donor identification services; and provision of a back-up donor. More... »
PAGES210
http://scigraph.springernature.com/pub.10.1038/bmt.2012.54
DOIhttp://dx.doi.org/10.1038/bmt.2012.54
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/22484322
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]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/bmt.2012.54'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bmt.2012.54'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bmt.2012.54'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bmt.2012.54'
This table displays all metadata directly associated to this object as RDF triples.
599 TRIPLES
21 PREDICATES
199 URIs
27 LITERALS
15 BLANK NODES