Neuropathic pain phenotyping by international consensus (NeuroPPIC) for genetic studies: a NeuPSIG systematic review, Delphi survey, and expert panel recommendations.
Neuropathic pain phenotyping by international consensus (NeuroPPIC) for genetic studies: a NeuPSIG systematic review, Delphi survey, and expert panel recommendations.
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DOI：
10.1097/j.pain.0000000000000335
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发表时间：
2015-11
期刊：
影响因子：
7.4
通讯作者：
Smith BH
中科院分区：
文献类型：
--
作者：
van Hecke O;Kamerman PR;Attal N;Baron R;Bjornsdottir G;Bennett DLH;Bennett MI;Bouhassira D;Diatchenko L;Freeman R;Freynhagen R;Haanpää M;Jensen TS;Raja SN;Rice ASC;Seltzer Z;Thorgeirsson TE;Yarnitsky D;Smith BH
补充数字内容可在正文中找到。NeuPSIG为人类遗传学研究提出了一种基于共识的标准化方法来对神经性疼痛进行表型鉴定，并提出了报告病例和对照表型的指南。为了让基因研究更充分地促进我们对神经病理性疼痛的了解，我们需要一种公认的、有效的和可行的表型鉴定方法，以便在足够大的样本中进行协作和复制。神经病理性疼痛的遗传学研究结果一直不一致，并遇到了复制困难，部分原因是用于病例确定的表型不同。由于对这些表型的性质以及收集它们的方法没有达成共识，本研究旨在为收集和报告病例的表型和遗传学研究的对照提供指南。通过分阶段的方法达成了共识：(1)系统的文献综述，以确定以前的遗传学研究中使用的所有神经病理性疼痛表型；(2)德尔菲调查，以确定最有用的神经病理性疼痛表型及其有效性和可行性；以及(3)专家会议，以就从神经性疼痛患者中收集用于遗传学研究的最佳表型(S)达成共识。对于神经病理性疼痛的任何遗传学研究，都确定了一组基本的“入门水平”表型。这套系统识别“可能的”神经性疼痛的病例和对照，包括：(1)有效的基于症状的问卷，以确定任何疼痛是否可能是神经性疼痛；(2)体表或核对表，以确定疼痛的分布区域是否符合神经解剖学；以及(3)疼痛病史的详细信息(强度、持续时间、任何正式诊断)。根据科学要求和资源的可获得性，可以通过更广泛和更具体的措施来扩展这组NeuroPPIC的“入门级”表型。
Supplemental Digital Content is Available in the Text. NeuPSIG proposes a consensus-based standardised approach to phenotyping neuropathic pain for genetic studies in humans and guidelines for reporting the phenotyping of cases and controls. For genetic research to contribute more fully to furthering our knowledge of neuropathic pain, we require an agreed, valid, and feasible approach to phenotyping, to allow collaboration and replication in samples of sufficient size. Results from genetic studies on neuropathic pain have been inconsistent and have met with replication difficulties, in part because of differences in phenotypes used for case ascertainment. Because there is no consensus on the nature of these phenotypes, nor on the methods of collecting them, this study aimed to provide guidelines on collecting and reporting phenotypes in cases and controls for genetic studies. Consensus was achieved through a staged approach: (1) systematic literature review to identify all neuropathic pain phenotypes used in previous genetic studies; (2) Delphi survey to identify the most useful neuropathic pain phenotypes and their validity and feasibility; and (3) meeting of experts to reach consensus on the optimal phenotype(s) to be collected from patients with neuropathic pain for genetic studies. A basic “entry level” set of phenotypes was identified for any genetic study of neuropathic pain. This set identifies cases of “possible” neuropathic pain, and controls, and includes: (1) a validated symptom-based questionnaire to determine whether any pain is likely to be neuropathic; (2) body chart or checklist to identify whether the area of pain distribution is neuroanatomically logical; and (3) details of pain history (intensity, duration, any formal diagnosis). This NeuroPPIC “entry level” set of phenotypes can be expanded by more extensive and specific measures, as determined by scientific requirements and resource availability.