Literature DB >> 32311591

Establishment of a clinician-led guideline on the diagnosis and treatment of Hirayama disease using a modified Delphi technique.

Feizhou Lyu1, Chaojun Zheng2, Hongli Wang2, Cong Nie2, Xiaosheng Ma2, Xinlei Xia2, Wei Zhu2, Xiang Jin2, Yongcheng Hu3, Yu Sun4, Yu Zhu5, Satoshi Kuwabara6, Rosa Cortese7, Kaukab Maqbool Hassan8, Keisuke Takai9, Igor Paredes10, Robert Webere5, Margaret Turk5, Jun Kimura11, Jianyuan Jiang12.   

Abstract

OBJECTIVE: To establish a clinician-led guideline for the diagnosis and treatment of Hirayama disease (HD) using a modified Delphi technique.
METHODS: Based on a combination of a systematic review and opinion of ten experts, a protocol for the consensus of the diagnosis, treatment and follow-up assessment of HD was established. A modified 3-round Delphi survey was then performed by more than 40 panelists from various countries of the world. Both levels of evidence and levels of agreement were derived in all statements of finial guideline.
RESULTS: A total of 47 experts from 6 countries were enrolled in the expert panel in this study. Highly consistent results were achieved during the three Delphi rounds. An expert-led guideline finally constructed includes 24 statements related to diagnosis, treatment and follow-up assessment of HD.
CONCLUSIONS: The modified Delphi technique used in this study resulted in an expert-led guideline concerning several clinical aspects of HD. SIGNIFICANCE: This clinician-led guideline may provide a helpful direction for clinical practice with regard to the diagnosis and treatment of HD.
Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinician-led guideline; Delphi technique; Diagnosis; Hirayama disease; Treatment

Mesh:

Year:  2020        PMID: 32311591     DOI: 10.1016/j.clinph.2020.02.022

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  6 in total

1.  Why the patients with Hirayama disease have abnormal cervical sagittal alignment? A radiological measurement analysis of posterior cervical extensors.

Authors:  Ye Tian; Lin Xie; Jianyuan Jiang; Hongli Wang
Journal:  J Orthop Surg Res       Date:  2022-01-15       Impact factor: 2.359

2.  Interobserver and Intraobserver Reproducibility and Reliability of the Huashan Clinical Classification System for Hirayama Disease.

Authors:  Chi Sun; Guangyu Xu; Yuxuan Zhang; Zhongyi Cui; Dayong Liu; Yong Yang; Xiandi Wang; Xiaosheng Ma; Feizhou Lu; Jianyuan Jiang; Hongli Wang
Journal:  Front Neurol       Date:  2021-12-03       Impact factor: 4.003

Review 3.  Update on the Pathogenesis, Clinical Diagnosis, and Treatment of Hirayama Disease.

Authors:  Hongwei Wang; Ye Tian; Jianwei Wu; Sushan Luo; Chaojun Zheng; Chi Sun; Cong Nie; Xinlei Xia; Xiaosheng Ma; Feizhou Lyu; Jianyuan Jiang; Hongli Wang
Journal:  Front Neurol       Date:  2022-02-01       Impact factor: 4.003

4.  The radiological and electrophysiological characteristics of Hirayama disease with proximal involvement: A retrospective study.

Authors:  Hongwei Wang; Ye Tian; Jianwei Wu; Chi Sun; Cong Nie; Chaojun Zheng; Fei Zou; Xinlei Xia; Xiaosheng Ma; Feizhou Lyu; Jianyuan Jiang; Hongli Wang
Journal:  Front Neurol       Date:  2022-08-11       Impact factor: 4.086

Review 5.  Hirayama disease: Nosological classification and neuroimaging clues for diagnosis.

Authors:  Salvatore Iacono; Vincenzo Di Stefano; Andrea Gagliardo; Roberto Cannella; Valentina Virzì; Sonia Pagano; Antonino Lupica; Marcello Romano; Filippo Brighina
Journal:  J Neuroimaging       Date:  2022-04-08       Impact factor: 2.324

6.  Can preoperative cervical spinal diffusion tensor imaging (DTI) indices predict surgical outcomes in patients with Hirayama disease? A retrospective cohort study.

Authors:  Yuan Gao; Chi Sun; Shuyi Zhou; Xiaosheng Ma; Xinlei Xia; Feizhou Lu; Jun Zhang; Hongli Wang; Jianyuan Jiang
Journal:  Front Neurol       Date:  2022-09-30       Impact factor: 4.086

  6 in total

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