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用于预测慢性肝病临床终点的影像学特征:范围综述方案。

Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol.

机构信息

UCL Centre for Medical Imaging, UCL, London, UK

UCL Centre for Medical Imaging, UCL, London, UK.

出版信息

BMJ Open. 2022 May 2;12(5):e053204. doi: 10.1136/bmjopen-2021-053204.

DOI:10.1136/bmjopen-2021-053204
PMID:35501093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9062789/
Abstract

INTRODUCTION

Chronic liver disease is a growing cause of morbidity and mortality in the UK. Acute presentation with advanced disease is common and prioritisation of resources to those at highest risk at earlier disease stages is essential to improving patient outcomes. Existing prognostic tools are of limited accuracy and to date no imaging-based tools are used in clinical practice, despite multiple anatomical imaging features that worsen with disease severity.In this paper, we outline our scoping review protocol that aims to provide an overview of existing prognostic factors and models that link anatomical imaging features with clinical endpoints in chronic liver disease. This will provide a summary of the number, type and methods used by existing imaging feature-based prognostic studies and indicate if there are sufficient studies to justify future systematic reviews.

METHODS AND ANALYSIS

The protocol was developed in accordance with existing scoping review guidelines. Searches of MEDLINE and Embase will be conducted using titles, abstracts and Medical Subject Headings restricted to publications after 1980 to ensure imaging method relevance on OvidSP. Initial screening will be undertaken by two independent reviewers. Full-text data extraction will be undertaken by three pretrained reviewers who have participated in a group data extraction session to ensure reviewer consensus and reduce inter-rater variability. Where needed, data extraction queries will be resolved by reviewer team discussion. Reporting of results will be based on grouping of related factors and their cumulative frequencies. Prognostic anatomical imaging features and clinical endpoints will be reported using descriptive statistics to summarise the number of studies, study characteristics and the statistical methods used.

ETHICS AND DISSEMINATION

Ethical approval is not required as this study is based on previously published work. Findings will be disseminated by peer-reviewed publication and/or conference presentations.

摘要

简介

慢性肝脏疾病是英国发病率和死亡率不断上升的一个主要原因。在疾病的早期阶段,就存在严重疾病的急性表现,对高危患者进行资源优先分配对于改善患者预后至关重要。现有的预后工具准确性有限,迄今为止,尽管存在多种随着疾病严重程度而恶化的解剖影像学特征,但在临床实践中并未使用任何基于影像学的工具。在本文中,我们概述了我们的范围综述方案,旨在提供对与慢性肝病临床终点相关的现有解剖影像学特征和模型的预后因素的概述。这将总结现有的基于影像学特征的预后研究的数量、类型和方法,并表明是否有足够的研究来证明未来进行系统评价的合理性。

方法和分析

该方案是根据现有的范围综述指南制定的。将使用标题、摘要和限定于 1980 年后发表文献的医学主题词,在 OvidSP 上对 MEDLINE 和 Embase 进行检索,以确保成像方法的相关性。最初的筛选将由两名独立的审查员进行。全文数据提取将由三名经过预培训的审查员进行,他们参加了一次小组数据提取会议,以确保审查员之间的共识并降低组间差异。在需要的情况下,将通过审查员团队讨论解决数据提取查询。结果报告将基于相关因素的分组及其累积频率。将使用描述性统计数据报告预后性解剖影像学特征和临床终点,以总结研究数量、研究特征和使用的统计方法。

伦理和传播

由于本研究基于已发表的工作,因此不需要伦理批准。研究结果将通过同行评审出版物和/或会议报告进行传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dc8/9062789/e7cb51126941/bmjopen-2021-053204f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dc8/9062789/e7cb51126941/bmjopen-2021-053204f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dc8/9062789/e7cb51126941/bmjopen-2021-053204f01.jpg

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本文引用的文献

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Unacceptable failures: the final report of the Lancet Commission into liver disease in the UK.不可接受的失败:英国柳叶刀委员会关于肝脏疾病的最终报告。
Lancet. 2020 Jan 18;395(10219):226-239. doi: 10.1016/S0140-6736(19)32908-3. Epub 2019 Nov 29.
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