Reported Outcome Measures in Degenerative Cervical Myelopathy: A Systematic Review.

Reported Outcome Measures in Degenerative Cervical Myelopathy: A Systematic Review.
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DOI:
10.1371/journal.pone.0157263
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发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Kotter MR
Kotter MR
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Davies BM;McHugh M;Elgheriani A;Kolias AG;Tetreault LA;Hutchinson PJ;Fehlings MG;Kotter MR

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退行性脊髓型颈椎病[DCM]是一组致残性且日益流行的疾病。试验结果的异质性报告限制了有效的研究间比较和治疗的优化。这一点在医疗保健研究的许多领域都得到了认可。本研究旨在评估DCM中结果报告的异质性,作为开发标准化报告集的前提。根据PRISMA指南,对注册于PROSPERO(CRD42015025497)的MEDLINE和EMBASE数据库进行了系统审查。报道扩张型心肌病结果的英文全文文章,50名患者(预期)或200名患者(回顾)符合条件。在全球范围内进行的108项研究,评估了23,876名患者。报告的结果主题包括功能(97,90%的研究报告)、并发症(56,52%的研究报告)、生活质量(31,29%的研究报告)、疼痛(29,27%的研究报告)和成像(59,55%的研究报告)。只有7项研究(6%)在一篇论文中考虑了所有领域。所有领域在报告方面都表现出多变性。在DCM的结果报告中存在显著的异质性。制定协商一致的最小数据集将有助于今后的研究综合。
Degenerative cervical myelopathy [DCM] is a disabling and increasingly prevalent group of diseases. Heterogeneous reporting of trial outcomes limits effective inter-study comparison and optimisation of treatment. This is recognised in many fields of healthcare research. The present study aims to assess the heterogeneity of outcome reporting in DCM as the premise for the development of a standardised reporting set. A systematic review of MEDLINE and EMBASE databases, registered with PROSPERO (CRD42015025497) was conducted in accordance with PRISMA guidelines. Full text articles in English, with >50 patients (prospective) or >200 patients (retrospective), reporting outcomes of DCM were eligible. 108 studies, assessing 23,876 patients, conducted world-wide, were identified. Reported outcome themes included function (reported by 97, 90% of studies), complications (reported by 56, 52% of studies), quality of life (reported by 31, 29% of studies), pain (reported by 29, 27% of studies) and imaging (reported by 59, 55% of studies). Only 7 (6%) studies considered all of domains in a single publication. All domains showed variability in reporting. Significant heterogeneity exists in the reporting of outcomes in DCM. The development of a consensus minimum dataset will facilitate future research synthesis.