Linked Life Data

18985466

Source:http://linkedlifedata.com/resource/pubmed/id/18985466

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2009-1-27
pubmed:abstractText
We have tested the sensitivity of a recently published approach to combining clinical and EMG data in the 'research diagnosis' of ALS, in 55 consecutive patients clinically diagnosed with ALS. The application of this 'Awaji algorithm' to the revised El Escorial diagnostic criteria for diagnosis of ALS achieved a diagnostic sensitivity of 95% for definite ALS compared with 18% using the clinical El Escorial criteria and 53% when the EMG criteria as defined in the El Escorial criteria, were applied to the same dataset. This increased sensitivity was particularly relevant for bulbar onset patients (sensitivity improved from 38% to 87%) and for patients with El Escorial clinically possible ALS (from 50% to 86%). We suggest that, in future, investigators and triallists should use the Awaji algorithm superimposed onto the El Escorial criteria, in selecting patients for research studies.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1471-180X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
53-7
pubmed:dateRevised
2009-11-17
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Awaji diagnostic algorithm increases sensitivity of El Escorial criteria for ALS diagnosis.
pubmed:affiliation
Hospital of Santa Maria Hospital and Instituto de Medicina Molecular-Molecular Biology, University of Lisbon, Portugal.
pubmed:publicationType
Journal Article