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Query: UMLS:C0016053 (fibromyalgia)
 4,687 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

In amyotrophic lateral sclerosis (ALS), a recent double-blind placebo-controlled trial of acetyl-L-carnitine along with riluzole showed probable benefit in 42 patients compared with 40 patients who received placebo. Using an electrophysiologic measure devised to differentiate ALS from other neuromuscular conditions, a "splint-hand index" was devised and is reviewed. Analysis of skin in ALS may also be of interest, and there was a report of accumulation of fused in sarcoma protein in the epidermis of ALS patients. With regard to myasthenia gravis, there is another report that early treatment of ocular symptoms with corticosteroids may prevent the development of generalized symptoms. A new study of thymus histopathology in muscle-specific tyrosine kinase (MuSK) myasthenia gravis is covered and another article on the use of thymectomy. In Duchenne muscular dystrophy, the best method of administrating corticosteroids is still being debated, and a long-term study of daily versus intermittent prednisolone is reviewed. The study showed less sustained benefit from the intermittent prednisolone but with a better side effect profile. According to 2 recent reports, it seems that titin mutations may be an underrecognized cause of myopathy with early respiratory failure in adults. Keeping with the respiratory failure theme, there was also an interesting article on the long-term benefits and side effects of cyclosporine in patients with interstitial lung disease from antisynthetase syndrome. Finally, the spectrum of small fiber neuropathy may be expanding to include a causative role in some patients with fibromyalgia syndrome and in juveniles with diffuse pain and a possible autoimmune predisposition.
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PMID:What's in the literature? 2396 8

Among several features used for clinical binary classification, behavioral performance, questionnaire scores, test results, and physical exam reports can be counted. Attempts to include neuroimaging findings to support clinical diagnosis are scarce due to difficulties in collecting such data, as well as problems in integration of neuroimaging findings with other features. The binary classification method proposed here aims to merge small samples from multiple sites so that a large cohort, which better describes the features of the disease can be built. We implemented a simple and robust framework for detection of fibromyalgia, using likelihood during decision level fusion. This framework supports sharing of classifier applications across clinical sites and arrives at a decision by fusing results from multiple classifiers. If there are missing opinions from some classifiers due to inability to collect their input features, such degradation in information is tolerated. We implemented this method using functional near infrared spectroscopy (fNIRS) data collected from fibromyalgia patients across three different tasks. Functional connectivity maps are derived from these tasks as features. In addition, self-reported clinical features are also used. Five classifiers are trained using k nearest neighborhood (kNN), linear discriminant analysis (LDA), and support vector machine (SVM). Fusion of classification opinions from multiple classifiers based on likelihood ratios outperformed individual classifier performances. When 2, 3, 4, and 5 different classifiers are fused, sensitivity, and specificity figures of 100% could be obtained based on the choice of the classifier set.
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PMID:Binary Classification Using Neural and Clinical Features: An Application in Fibromyalgia With Likelihood-Based Decision Level Fusion. 2999 41