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简易认知衰退量表(IQCODE)用于在一般实践(初级保健)环境中检测痴呆。

Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the detection of dementia within a general practice (primary care) setting.

机构信息

Academic Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Academic Section of Geriatric Medicine, University of Glasgow, Glasgow, UK.

出版信息

Cochrane Database Syst Rev. 2021 Jul 19;7(7):CD010771. doi: 10.1002/14651858.CD010771.pub3.

Abstract

BACKGROUND

The IQCODE (Informant Questionnaire for Cognitive Decline in the Elderly) is a commonly used questionnaire based tool that uses collateral information to assess for cognitive decline and dementia. Brief tools that can be used for dementia "screening" or "triage" may have particular utility in primary care / general practice healthcare settings but only if they have suitable test accuracy. A synthesis of the available data regarding IQCODE accuracy in a primary care setting should help inform cognitive assessment strategies for clinical practice; research and policy.

OBJECTIVES

To determine the accuracy of the informant-based questionnaire IQCODE, for detection of dementia in a primary care setting.

SEARCH METHODS

A search was performed in the following sources on the 28th of January 2013: ALOIS (Cochrane Dementia and Cognitive Improvement Group), MEDLINE (Ovid SP), EMBASE (Ovid SP), PsycINFO (Ovid SP), BIOSIS (Ovid SP), ISI Web of Science and Conference Proceedings (ISI Web of Knowledge), CINHAL (EBSCOhost) and LILACs (BIREME). We also searched sources specific to diagnostic test accuracy: MEDION (Universities of Maastricht and Leuven); DARE (York University); HTA Database (Health Technology Assessments Database via The Cochrane Library) and ARIF (Birmingham University). We developed a sensitive search strategy; search terms were designed to cover key concepts using several different approaches run in parallel and included terms relating to cognitive tests, cognitive screening and dementia. We used standardized database subject headings such as MeSH terms (in MEDLINE) and other standardized headings (controlled vocabulary) in other databases, as appropriate.

SELECTION CRITERIA

We selected those studies performed in primary care settings, which included (not necessarily exclusively) IQCODE to assess for the presence of dementia and where dementia diagnosis was confirmed with clinical assessment. For the "primary care" setting, we included those healthcare settings where unselected patients, present for initial, non-specialist assessment of memory or non-memory related symptoms; often with a view to onward referral for more definitive assessment.

DATA COLLECTION AND ANALYSIS

We screened all titles generated by electronic database searches and abstracts of all potentially relevant studies were reviewed. Full papers were assessed for eligibility and data extracted by two independent assessors. Quality assessment (risk of bias and applicability) was determined using the QUADAS-2 tool. Reporting quality was determined using the STARDdem extension to the STARD tool.

MAIN RESULTS

From 71 papers describing IQCODE test accuracy, we included 1 paper, representing data from 230 individuals (n=16 [7%] with dementia). The paper described those patients consulting a primary care service who self-identified as Japanese-American. Dementia diagnosis was made using Benson & Cummings criteria and the IQCODE was recorded as part of a longer interview with the informant. IQCODE accuracy was assessed at various test thresholds, with a "trade-off" between sensitivity and specificity across these cutpoints. At an IQCODE threshold of 3.2 sensitivity: 100%, specificity: 76%; for IQCODE 3.7 sensitivity: 75%, specificity: 98%. Applying the QUADAS-2 assessments, the study was at high risk of bias in all categories. In particular degree of blinding was unclear and not all participants were included in the final analysis.

AUTHORS' CONCLUSIONS: It is not possible to give definitive guidance on the test accuracy of IQCODE for the diagnosis of dementia in a primary care setting based on the single study identified. We are surprised by the lack of research using the IQCODE in primary care as this is, arguably, the most appropriate setting for targeted case finding of those with undiagnosed dementia in order to maximise opportunities to intervene and provide support for the individual and their carers.

摘要

背景

认知衰退问卷(Informant Questionnaire for Cognitive Decline in the Elderly,IQCODE)是一种常用的基于问卷的工具,它使用间接信息来评估认知能力下降和痴呆。在初级保健/全科医疗保健环境中,使用简短的工具进行痴呆“筛查”或“分诊”可能具有特别的效用,但前提是这些工具具有适当的测试准确性。对初级保健环境中 IQCODE 准确性的现有数据进行综合分析,有助于为临床实践、研究和政策提供认知评估策略。

目的

确定基于信息的问卷 IQCODE 在初级保健环境中检测痴呆的准确性。

检索方法

我们于 2013 年 1 月 28 日在以下来源进行了检索:ALOIS(Cochrane 痴呆症和认知改善组)、MEDLINE(Ovid SP)、EMBASE(Ovid SP)、PsycINFO(Ovid SP)、BIOSIS(Ovid SP)、ISI Web of Science 和会议录(ISI Web of Knowledge)、CINHAL(EBSCOhost)和 LILACs(BIREME)。我们还搜索了专门针对诊断测试准确性的来源:MEDION(马斯特里赫特大学和鲁汶大学)、DARE(约克大学)、HTA 数据库(通过 Cochrane 图书馆的卫生技术评估数据库)和 ARIF(伯明翰大学)。我们制定了一个敏感的检索策略;检索词旨在使用多种不同的方法来涵盖关键概念,这些方法并行运行,包括与认知测试、认知筛查和痴呆相关的术语。我们在适当的情况下使用了标准化数据库主题词(如 MEDLINE 中的 MeSH 术语)和其他标准化标题(受控词汇)。

选择标准

我们选择了在初级保健环境中进行的研究,这些研究包括(但不一定仅限于)IQCODE 来评估痴呆的存在,并且痴呆的诊断是通过临床评估来确认的。对于“初级保健”环境,我们包括那些接受未经选择的患者的医疗保健环境,这些患者因记忆或非记忆相关症状初始、非专业评估就诊;通常是为了进一步转诊进行更明确的评估。

数据收集和分析

我们筛选了所有电子数据库检索生成的标题,并对所有潜在相关研究的摘要进行了审查。对全文进行了评估,以确定其是否符合入选标准,并由两名独立评估人员提取数据。使用 QUADAS-2 工具确定质量评估(偏倚风险和适用性)。使用 STARDdem 扩展工具对 STARD 进行报告质量评估。

主要结果

从描述 IQCODE 测试准确性的 71 篇论文中,我们纳入了 1 篇论文,代表了 230 名个体的数据(n=16[7%]患有痴呆)。该论文描述了那些自我认同为日裔美国人的初级保健服务患者。痴呆诊断采用 Benson 和 Cummings 标准,IQCODE 作为信息员访谈的一部分进行记录。IQCODE 准确性在多个测试阈值下进行评估,这些切点之间存在敏感性和特异性的“权衡”。在 IQCODE 阈值为 3.2 时,敏感性:100%,特异性:76%;在 IQCODE 阈值为 3.7 时,敏感性:75%,特异性:98%。应用 QUADAS-2 评估,该研究在所有类别中均存在高度偏倚风险。特别是,无法确定盲法的程度,并且并非所有参与者都纳入了最终分析。

作者结论

根据确定的单一研究,无法对 IQCODE 在初级保健环境中用于诊断痴呆的测试准确性提供明确的指导。我们对初级保健中缺乏使用 IQCODE 的研究感到惊讶,因为这可能是针对未确诊痴呆的目标性病例发现的最合适环境,以最大限度地为个人及其护理者提供干预和支持的机会。

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