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Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis.

Overview of attention for article published in American Journal of Neuroradiology, April 2000
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Title
Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis.
Published in
American Journal of Neuroradiology, April 2000
Pubmed ID
Authors

M Tintoré, A Rovira, M J Martínez, J Rio, P Díaz-Villoslada, L Brieva, C Borrás, E Grivé, J Capellades, X Montalban

Abstract

Various authors have developed criteria to classify MR imaging findings that suggest the possibility of multiple sclerosis. The purpose of this study was to evaluate and compare the capacity of three sets of MR imaging criteria for predicting the conversion of isolated demyelinating syndromes to clinically definite multiple sclerosis. Seventy patients with clinically isolated neurologic symptoms suggestive of multiple sclerosis were prospectively studied with MR imaging. The MR imaging findings were evaluated by two independent neuroradiologists who were blinded to clinical follow-up data. Based on the clinical outcome at follow-up (presence of a second attack that established clinically definite multiple sclerosis), the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the criteria proposed by Paty et al, Fazekas et al, and Barkhof et al were calculated. Clinically definite multiple sclerosis developed in 22 (31%) patients after a mean follow-up time of 28.3 months. The criteria proposed by Paty et al and those proposed by Fazekas et al showed identical results: sensitivity, 86%; specificity, 54%; accuracy, 64%; positive predictive value, 46%; and negative predictive value, 89%. The criteria proposed by Barkhof et al showed the following: sensitivity, 73%; specificity, 73%; accuracy, 73%; positive predictive value, 55%; and negative predictive value, 85%. The four dichotomized MR imaging parameters proposed by Barkhof et al are more specific and accurate than the criteria proposed by Paty et al or Fazekas et al for predicting conversion to clinically definite multiple sclerosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 4 2%
Brazil 2 <1%
Germany 1 <1%
Colombia 1 <1%
Netherlands 1 <1%
Unknown 224 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 14%
Other 27 12%
Student > Bachelor 23 10%
Student > Ph. D. Student 22 9%
Professor > Associate Professor 17 7%
Other 79 34%
Unknown 32 14%
Readers by discipline Count As %
Medicine and Dentistry 109 47%
Neuroscience 19 8%
Agricultural and Biological Sciences 10 4%
Biochemistry, Genetics and Molecular Biology 8 3%
Social Sciences 7 3%
Other 43 18%
Unknown 37 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2020.
All research outputs
#8,537,346
of 25,377,790 outputs
Outputs from American Journal of Neuroradiology
#2,372
of 5,256 outputs
Outputs of similar age
#13,857
of 40,973 outputs
Outputs of similar age from American Journal of Neuroradiology
#9
of 12 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 40,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.