Measuring Overall Severity of Myasthenia Gravis (MG): Evidence for the Added Value of the MG Symptoms PRO
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[1] D. Moher,et al. Listening to the Patient Voice Adds Value to Cancer Clinical Trials , 2022, Journal of the National Cancer Institute.
[2] K. Weinfurt,et al. Patient-Reported Outcome Measures in Clinical Research. , 2022, JAMA.
[3] A. Bottomley,et al. The PROTEUS-Trials Consortium: Optimizing the use of patient-reported outcomes in clinical trials , 2022, Clinical trials.
[4] A. Regnault,et al. Development of the Myasthenia Gravis (MG) Symptoms PRO: a case study of a patient-centred outcome measure in rare disease , 2021, Orphanet Journal of Rare Diseases.
[5] M. King,et al. Perceived benefits and limitations of using patient-reported outcome measures in clinical practice with individual patients: a systematic review of qualitative studies , 2021, Quality of Life Research.
[6] M. Aadahl,et al. Fatigue, physical activity and associated factors in 779 patients with myasthenia gravis , 2021, Neuromuscular Disorders.
[7] H. Andersen,et al. Outcome Measures in Clinical Trials of Patients With Myasthenia Gravis , 2020, Frontiers in Neurology.
[8] I. Litchfield,et al. Implementing PROMs in routine clinical care: a qualitative exploration of GP perspectives , 2020, BJGP open.
[9] J. Verschuuren,et al. Fatigue in patients with myasthenia gravis. A systematic review of the literature , 2020, Neuromuscular Disorders.
[10] G. Cutter,et al. Correlation of Quantitative Myasthenia Gravis and Myasthenia Gravis Activities of Daily Living scales in the MGTX study , 2020, Muscle & nerve.
[11] P. Valko,et al. Fatigue in patients with myasthenia gravis , 2018, Journal of Neurology.
[12] R. Barohn,et al. Measuring Clinical Treatment Response in Myasthenia Gravis. , 2018, Neurologic clinics.
[13] S. Cano,et al. Measuring what matters to rare disease patients – reflections on the work by the IRDiRC taskforce on patient-centered outcome measures , 2017, Orphanet Journal of Rare Diseases.
[14] J. Kissel,et al. QMG and MG‐ADL correlations: Study of eculizumab treatment of myasthenia gravis , 2017, Muscle & nerve.
[15] A. Davis,et al. Development and validation of the Myasthenia Gravis Impairment Index , 2016, Neurology.
[16] V. Bril,et al. Psychometric Properties of the Quantitative Myasthenia Gravis Score and the Myasthenia Gravis Composite Scale , 2015, Journal of neuromuscular diseases.
[17] S. Muppidi. The Myasthenia Gravis‐Specific Activities of Daily Living Profile , 2012, Annals of the New York Academy of Sciences.
[18] T. Burns. The MG composite: an outcome measure for myasthenia gravis for use in clinical trials and everyday practice , 2012, Annals of the New York Academy of Sciences.
[19] M. Benatar,et al. Recommendations for myasthenia gravis clinical trials , 2012, Muscle & nerve.
[20] M. Conaway,et al. Psychometric evaluation of the myasthenia gravis composite using rasch analysis , 2012, Muscle & nerve.
[21] V. Bril,et al. The Quantitative Myasthenia Gravis Score: Comparison With Clinical, Electrophysiological, and Laboratory Markers , 2012, Journal of clinical neuromuscular disease.
[22] N. Leidy,et al. Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: part 1--eliciting concepts for a new PRO instrument. , 2011, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[23] Elizabeth Molsen,et al. Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO Good Research Practices Task Force report: part 2--assessing respondent understanding. , 2011, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.
[24] M. Conaway,et al. MG‐ADL: Still a relevant outcome measure , 2011, Muscle & nerve.
[25] R. Leigh,et al. Factors contributing to failure of neuromuscular transmission in myasthenia gravis and the special case of the extraocular muscles , 2011, Annals of the New York Academy of Sciences.
[26] J. Hobart,et al. Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods. , 2009, Health technology assessment.
[27] M. Conaway,et al. Construction of an efficient evaluative instrument for Myasthenia Gravis: The MG composite , 2008, Muscle & nerve.
[28] B. Gong,et al. Extraocular Muscle Susceptibility to Myasthenia Gravis , 2008, Annals of the New York Academy of Sciences.
[29] R. Barohn,et al. Reliability Testing of the Quantitative Myasthenia Gravis Score a , 1998, Annals of the New York Academy of Sciences.
[30] Georg Rasch,et al. Probabilistic Models for Some Intelligence and Attainment Tests , 1981, The SAGE Encyclopedia of Research Design.
[31] D. Andrich. A rating formulation for ordered response categories , 1978 .
[32] Graeme Hutcheson,et al. Rasch Models for Measurement , 2011 .
[33] D. Andrich. Rating Scale Analysis , 1999 .