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Adolescent Health, Medicine and Therapeutics Volume 12, 2021 - Issue

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Review

Natural History and Disease Burden of Neurofibromatosis Type 1 with Plexiform Neurofibromas: A Systematic Literature Review

Catherine Copley-Merriman1 RTI Health Solutions, Research Triangle Park, NC, USAView further author information

Xiaoqin Yang2 Merck & Co., Inc., Kenilworth, NJ, USACorrespondence[email protected]
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Melissa Juniper1 RTI Health Solutions, Research Triangle Park, NC, USAView further author information

Suvina Amin3 AstraZeneca, Gaithersburg, MD, USAView further author information

Hyun Kyoo Yoo4 AstraZeneca, Cambridge, UKView further author information

Shuvayu S Sen2 Merck & Co., Inc., Kenilworth, NJ, USAView further author information

Pages 55-66 | Published online: 19 May 2021

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Citations (5)

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Articles from other publishers (5)

Xiaoqin Yang, Hyun Kyoo Yoo, Suvina Amin, Wendy Y. Cheng, Sanjana Sundaresan, Lujia Zhang & Mei S. Duh. (2022) Burden Among Caregivers of Pediatric Patients with Neurofibromatosis Type 1 (NF1) and Plexiform Neurofibroma (PN) in the United States: A Cross-Sectional Study. Neurology and Therapy 11:3, pages 1221-1233.
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Xiaoqin Yang, Hyun Kyoo Yoo, Suvina Amin, Wendy Y. Cheng, Sanjana Sundaresan, Lujia Zhang & Mei Sheng Duh. (2022) Clinical and humanistic burden among pediatric patients with neurofibromatosis type 1 and plexiform neurofibroma in the USA. Child's Nervous System 38:8, pages 1513-1522.
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Mary Kate Anderson, Meredith Johnson, Lauren Thornburg & Zachery Halford. (2021) A Review of Selumetinib in the Treatment of Neurofibromatosis Type 1–Related Plexiform Neurofibromas. Annals of Pharmacotherapy 56:6, pages 716-726.
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Kari L. Struemph, Adreanna T. M. Watts, Pamela L. Wolters, Mary Anne Tamula, Andrea Baldwin, Brigitte Widemann & Staci Martin. (2021) Adolescents and young adults with neurofibromatosis type 1: A descriptive study of adaptive functioning. American Journal of Medical Genetics Part A 188:2, pages 488-497.
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Alvaro David Orjuela-Canon, Juan Carlos Figueroa-Garcia & Roman Neruda. (2021) Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations.

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