2002
DOI: 10.1002/art.10435
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The neural network as a predictor of cancer in patients with inflammatory myopathies

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Cited by 15 publications
(12 citation statements)
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“…The estimate for the five studies[20], [27], [31], [36], [37] involving DM patients only was 1.24 (95% CI: 0.76 to 2.02).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The estimate for the five studies[20], [27], [31], [36], [37] involving DM patients only was 1.24 (95% CI: 0.76 to 2.02).…”
Section: Resultsmentioning
confidence: 99%
“…Of the included studies, 13 studies [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] considered age as a variable. Out of these 13 studies, two studies [29] , [30] provided age group-specific data: data for patients younger than 45 and data for patients 45 and older.…”
Section: Resultsmentioning
confidence: 99%
“…Clinical research studies have shown that older age, male sex, dysphagia, and skin manifestations, such as skin necrosis, periungual erythema, and the 'V' or 'shawl' sign, are associated with occult malignancy in patients with myositis. Refractory or recurrent disease and certain capillaroscopic patterns have also been related with cancerassociated myositis [8][9][10]11 ]. In contrast, the presence of interstitial lung disease seems to be protective for the development of cancer, although a few cases of malignancy in patients with interstitial lung disease and anti-Jo-1 antibodies have been reported [12][13][14].…”
Section: Epidemiological Datamentioning
confidence: 97%
“…An absence of autoantibodies seems to be predictive of a high risk of occult malignancy, whereas the presence of antisynthetase antibodies seems to have a protective value against cancer [8][9][10].…”
Section: Epidemiological Datamentioning
confidence: 99%
“…It is well-recognized that inflammatory myopathy, mainly dermatomyositis in patients over the age of 50 years, is strongly associated with a wide range of cancers [74,75] and there are concerns regarding the potential development of malignancy following TNF-α blockade. A clinical and immunological approach to this subject by use of neural networks has recently been described [76] and could be useful for defining the patients at highest risk. Future studies will determine the…”
Section: Referencesmentioning
confidence: 99%