关键词: deep cervical muscles diagnostic imaging morphometric observational studies primary headaches risk/contributing factor

Mesh : Humans Neck Muscles / diagnostic imaging Databases, Factual Qualitative Research Tomography, X-Ray Computed Headache Disorders, Primary

来  源:   DOI:10.3390/s23042334

Abstract:
This systematic review aims to summarise the evidence from studies that examined morphometric alterations of the deep neck muscles using diagnostic imaging (ultrasound imaging, magnetic resonance imaging, and computed tomography) in patients diagnosed with primary headache disorders (PHD). No previous reviews have focused on documenting morphometric changes in this population. We searched five databases (up to 12 November 2022) to identify the studies. The risk of bias (RoB) was assessed using the Quality in Prognostic Studies (QUIPS) tool and the overall quality of the evidence was assessed using The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. A total of 1246 studies were screened and five were finally included; most were at high RoB, and the overall level of confidence in results was very low. Only two studies showed a significant association between morphometric alterations of the deep neck muscles and PHD (p < 0.001); nevertheless, their RoB was high. Contradictory and mixed results were obtained. The overall evidence did not show a clear association between morphometric alterations of the deep neck muscles in patients diagnosed with PHD. However, due to the limited number of studies and low confidence in the evidence, it is necessary to carry out more studies, with higher methodological quality to better answer our question.
摘要:
本系统综述旨在总结使用诊断成像(超声成像,磁共振成像,和计算机断层扫描)诊断为原发性头痛疾病(PHD)的患者。以前没有评论关注记录该人群的形态变化。我们搜索了五个数据库(截至2022年11月12日)以确定这些研究。使用预后研究质量(QUIPS)工具评估偏倚风险(RoB),并使用建议评估等级评估评估证据的总体质量。发展,和评估(等级)系统。总共筛选了1246项研究,最终纳入了5项研究;大多数处于高RoB,对结果的总体信心水平非常低。只有两项研究表明,深颈部肌肉的形态变化与PHD之间存在显着关联(p<0.001);尽管如此,RoB很高。获得了矛盾和混合的结果。总体证据未显示诊断为PHD的患者的颈深肌肉形态改变之间的明确关联。然而,由于研究数量有限,证据可信度低,有必要进行更多的研究,以更高的方法论质量来更好地回答我们的问题。
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