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从业者评论:QbTest 在评估和诊断注意缺陷多动障碍中的临床效用——系统评价和荟萃分析。

Practitioner Review: Clinical utility of the QbTest for the assessment and diagnosis of attention-deficit/hyperactivity disorder - a systematic review and meta-analysis.

机构信息

School of Psychology, University of Nottingham, Nottingham, Malaysia.

Mind & Neurodevelopment (MiND) Research Cluster, University of Nottingham, Nottingham, Malaysia.

出版信息

J Child Psychol Psychiatry. 2024 Jun;65(6):845-861. doi: 10.1111/jcpp.13901. Epub 2023 Oct 6.

Abstract

BACKGROUND

Several computerised cognitive tests (e.g. continuous performance test) have been developed to support the clinical assessment of attention-deficit/hyperactivity disorder (ADHD). Here, we appraised the evidence-base underpinning the use of one of these tests - the QbTest - in clinical practice, by conducting a systematic review and meta-analysis investigating its accuracy and clinical utility.

METHODS

Based on a preregistered protocol (CRD42022377671), we searched PubMed, Medline, Ovid Embase, APA PsycINFO and Web of Science on 15th August 2022, with no language/type of document restrictions. We included studies reporting accuracy measures (e.g. sensitivity, specificity, or Area under the Receiver Operating Characteristics Curve, AUC) for QbTest in discriminating between people with and without DSM/ICD ADHD diagnosis. Risk of bias was assessed with the Quality Assessment of Diagnostic Accuracy Studies tool (QUADAS-2). A generic inverse variance meta-analysis was conducted on AUC scores. Pooled sensitivity and specificity were calculated using a random-effects bivariate model in R.

RESULTS

We included 15 studies (2,058 participants; 48.6% with ADHD). QbTest Total scores showed acceptable, rather than good, sensitivity (0.78 [95% confidence interval: 0.69; 0.85]) and specificity (0.70 [0.57; 0.81]), while subscales showed low-to-moderate sensitivity (ranging from 0.48 [0.35; 0.61] to 0.65 [0.52; 0.75]) and moderate-to-good specificity (from 0.65 [0.48; 0.78] to 0.83 [0.60; 0.94]). Pooled AUC scores suggested moderate-to-acceptable discriminative ability (Q-Total: 0.72 [0.57; 0.87]; Q-Activity: 0.67 [0.58; 0.77); Q-Inattention: 0.66 [0.59; 0.72]; Q-Impulsivity: 0.59 [0.53; 0.64]).

CONCLUSIONS

When used on their own, QbTest scores available to clinicians are not sufficiently accurate in discriminating between ADHD and non-ADHD clinical cases. Therefore, the QbTest should not be used as stand-alone screening or diagnostic tool, or as a triage system for accepting individuals on the waiting-list for clinical services. However, when used as an adjunct to support a full clinical assessment, QbTest can produce efficiencies in the assessment pathway and reduce the time to diagnosis.

摘要

背景

已经开发了几种计算机化认知测试(例如连续性能测试)来支持注意力缺陷/多动障碍(ADHD)的临床评估。在这里,我们通过进行系统评价和荟萃分析来评估其中一种测试 - QbTest 的证据基础,以调查其准确性和临床实用性。

方法

根据预先注册的方案(CRD42022377671),我们于 2022 年 8 月 15 日在 PubMed、Medline、Ovid Embase、APA PsycINFO 和 Web of Science 上进行了搜索,没有语言/文档类型限制。我们纳入了报告 QbTest 区分 DSM/ICD ADHD 诊断患者和非患者准确性测量值(例如敏感性、特异性或接收者操作特征曲线下面积,AUC)的研究。使用 QUADAS-2 工具评估偏倚风险。使用 R 中的随机效应二变量模型计算 AUC 评分的汇总敏感性和特异性。

结果

我们纳入了 15 项研究(2058 名参与者;48.6%患有 ADHD)。QbTest 总分显示出可接受而非良好的敏感性(0.78 [95%置信区间:0.69;0.85])和特异性(0.70 [0.57;0.81]),而子量表显示出低至中等的敏感性(范围为 0.48 [0.35;0.61]至 0.65 [0.52;0.75])和中等至良好的特异性(范围为 0.65 [0.48;0.78]至 0.83 [0.60;0.94])。汇总 AUC 评分表明具有中等至可接受的鉴别能力(Q-总:0.72 [0.57;0.87];Q-活动:0.67 [0.58;0.77];Q-注意力不集中:0.66 [0.59;0.72];Q-冲动性:0.59 [0.53;0.64])。

结论

当单独使用时,提供给临床医生的 QbTest 分数在区分 ADHD 和非 ADHD 临床病例方面不够准确。因此,QbTest 不应作为单独的筛查或诊断工具,也不应作为接受临床服务等候名单上的个体的分诊系统。然而,当用作支持全面临床评估的辅助手段时,QbTest 可以提高评估途径的效率,并缩短诊断时间。

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