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10.1016/j.jclinepi.2013.12.009 http://scihub22266oqcxt.onion/10.1016/j.jclinepi.2013.12.009 C4134523!4134523 !24721558     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24721558 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Clin+Epidemiol 2014 ; 67 (6 ): 706-14 Nephropedia Template TP {{tp|p=24721558 |t=2014. Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria |pdf=|usr=}}{{24721558 }} gab.com Text Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria JO: J Clin Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=24721558 #FOAvip OBJECTIVES: Classification criteria for systemic sclerosis (SSc) are being developed. The objectives were to develop an instrument for collating case data and evaluate its sensibility; use forced-choice methods to reduce and weight criteria; and explore agreement among experts on the probability that cases were classified as SSc. STUDY DESIGN AND SETTING: A standardized instrument was tested for sensibility. The instrument was applied to 20 cases covering a range of probabilities that each had SSc. Experts rank ordered cases from highest to lowest probability; reduced and weighted the criteria using forced-choice methods; and reranked the cases. Consistency in rankings was evaluated using intraclass correlation coefficients (ICCs). RESULTS: Experts endorsed clarity (83%), comprehensibility (100%), face and content validity (100%). Criteria were weighted (points): finger skin thickening (14-22), fingertip lesions (9-21), friction rubs (21), finger flexion contractures (16), pulmonary fibrosis (14), SSc-related antibodies (15), Raynaud phenomenon (13), calcinosis (12), pulmonary hypertension (11), renal crisis (11), telangiectasia (10), abnormal nailfold capillaries (10), esophageal dilation (7), and puffy fingers (5). The ICC across experts was 0.73 [95% confidence interval (CI): 0.58, 0.86] and improved to 0.80 (95% CI: 0.68, 0.90). CONCLUSIONS: Using a sensible instrument and forced-choice methods, the number of criteria were reduced by 39% (range, 23-14) and weighted. Our methods reflect the rigors of measurement science and serve as a template for developing classification criteria. Twit Text FOAVip Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria ????J Clin Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=24721558 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24721558 #FOAvip English Wikipedia <ref>{{Cite pmid|24721558 }}</ref> Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria #MMPMID24721558 Johnson SR ; Naden RP ; Fransen J ; van den Hoogen F ; Pope JE ; Baron M ; Tyndall A ; Matucci-Cerinic M ; Denton CP ; Distler O ; Gabrielli A ; van Laar JM ; Mayes M ; Steen V ; Seibold JR ; Clements P ; Medsger TA Jr ; Carreira PE ; Riemekasten G ; Chung L ; Fessler BJ ; Merkel PA ; Silver R ; Varga J ; Allanore Y ; Mueller-Ladner U ; Vonk MC ; Walker UA ; Cappelli S ; Khanna D J Clin Epidemiol 2014[Jun]; 67 (6 ): 706-14 PMID24721558 show ga OBJECTIVES: Classification criteria for systemic sclerosis (SSc) are being developed. The objectives were to develop an instrument for collating case data and evaluate its sensibility; use forced-choice methods to reduce and weight criteria; and explore agreement among experts on the probability that cases were classified as SSc. STUDY DESIGN AND SETTING: A standardized instrument was tested for sensibility. The instrument was applied to 20 cases covering a range of probabilities that each had SSc. Experts rank ordered cases from highest to lowest probability; reduced and weighted the criteria using forced-choice methods; and reranked the cases. Consistency in rankings was evaluated using intraclass correlation coefficients (ICCs). RESULTS: Experts endorsed clarity (83%), comprehensibility (100%), face and content validity (100%). Criteria were weighted (points): finger skin thickening (14-22), fingertip lesions (9-21), friction rubs (21), finger flexion contractures (16), pulmonary fibrosis (14), SSc-related antibodies (15), Raynaud phenomenon (13), calcinosis (12), pulmonary hypertension (11), renal crisis (11), telangiectasia (10), abnormal nailfold capillaries (10), esophageal dilation (7), and puffy fingers (5). The ICC across experts was 0.73 [95% confidence interval (CI): 0.58, 0.86] and improved to 0.80 (95% CI: 0.68, 0.90). CONCLUSIONS: Using a sensible instrument and forced-choice methods, the number of criteria were reduced by 39% (range, 23-14) and weighted. Our methods reflect the rigors of measurement science and serve as a template for developing classification criteria. |*Decision Support Techniques [MESH] |Biomedical Research/*instrumentation [MESH] |Consensus [MESH] |Feasibility Studies [MESH] |Humans [MESH] |Reproducibility of Results [MESH]Multicriteria decision analysis methods with 1000Minds for developing (epmc).pdf DeepDyve Pubget Overpricing