A novel prognostic score to assess the risk of progression in relapsing−remitting multiple sclerosis patients
European Journal of Neurology, ISSN: 1468-1331, Vol: 28, Issue: 8, Page: 2503-2512
2021
- 20Citations
- 46Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations20
- Citation Indexes19
- 19
- CrossRef9
- Policy Citations1
- Policy Citation1
- Captures46
- Readers46
- 46
- Mentions1
- News Mentions1
- News1
Most Recent News
A Novel Score Can Identify Patients at Risk for Secondary Progressive MS
The Secondary Progressive Risk Score (SP-RiSc) may assist in identifying patients at an increased risk of converting from relapsing-remitting to secondary phase multiple sclerosis (MS),
Article Description
Background: At the patient level, the prognostic value of several features that are known to be associated with an increased risk of converting from relapsing−remitting (RR) to secondary phase (SP) multiple sclerosis (MS) remains limited. Methods: Among 262 RRMS patients followed up for 10 years, we assessed the probability of developing the SP course based on clinical and conventional and non-conventional magnetic resonance imaging (MRI) parameters at diagnosis and after 2 years. We used a machine learning method, the random survival forests, to identify, according to their minimal depth (MD), the most predictive factors associated with the risk of SP conversion, which were then combined to compute the secondary progressive risk score (SP-RiSc). Results: During the observation period, 69 (26%) patients converted to SPMS. The number of cortical lesions (MD = 2.47) and age (MD = 3.30) at diagnosis, the global cortical thinning (MD = 1.65), the cerebellar cortical volume loss (MD = 2.15) and the cortical lesion load increase (MD = 3.15) over the first 2 years exerted the greatest predictive effect. Three patients’ risk groups were identified; in the high-risk group, 85% (46/55) of patients entered the SP phase in 7 median years. The SP-RiSc optimal cut-off estimated was 17.7 showing specificity and sensitivity of 87% and 92%, respectively, and overall accuracy of 88%. Conclusions: The SP-RiSc yielded a high performance in identifying MS patients with high probability to develop SPMS, which can help improve management strategies. These findings are the premise of further larger prospective studies to assess its use in clinical settings.
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