比较胎儿酒精谱系障碍不同诊断标准之间的一致率:系统综述。

IF 3 Q2 SUBSTANCE ABUSE
Graysen Myers, Michael Burd, Marilyn G Klug, Svetlana Popova, Larry Burd
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引用次数: 0

摘要

在用于诊断胎儿酒精中毒综合症(FASD)等常见疾病的系统中,诊断准确性非常重要。目前,还没有一项全面的研究对 FASD 不同诊断标准之间的一致率进行检查。本研究估算了使用一套诊断标准诊断 FASD 与使用不同诊断标准诊断 FASD 得出相同诊断结果的可能性。我们进行了一项系统性综述,以确定对两种或两种以上 FASD 诊断标准进行比较的文章。纳入标准要求该研究提供数据,使用两两对照表估算两个或多个 FASD 诊断标准之间的 FASD 或无 FASD 诊断标准的一致性,或提供可用于生成表格的数据。研究还包括带置信区间的元分析,以显示估计值的可变性。使用带有 95% 置信区间的卡帕统计量和 phi 系数来评估二元结果之间的相关性。搜索发现了六项研究,报告了八种不同的 FASD 诊断标准。这些研究比较了 17 种不同标准配对之间的一致性。就单个儿童而言,一致性从 53.7% 到 91% 不等。八种不同诊断标准之间的一致性从59.4%到89.5%不等。卡帕统计发现,五种关联的卡帕值在 0.6 至 0.8 之间。这项研究表明,对多对诊断标准进行比较,很可能导致个别儿童和不同标准之间的 FASD 诊断结果存在相当大的差异。这些常用系统之间缺乏一致性很可能会影响临床护理和以诊断为关键变量的研究。需要进行大规模的多中心研究,以检查导致诊断结果差异的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing rates of agreement between different diagnostic criteria for fetal alcohol spectrum disorder: A systematic review.

Diagnostic accuracy is important in systems used to diagnose common disorders such as Fetal Alcohol Spectrum Disorder (FASD). Currently, no comprehensive study has examined rates of agreement between different diagnostic criteria for FASD. This study estimates the likelihood that a diagnosis of FASD using one set of diagnostic criteria will result in the same diagnosis when compared to different diagnostic criteria. A systematic review was conducted to identify articles reporting on the comparison of two or more diagnostic criteria for a diagnosis of FASD. Inclusion criteria required that the study present data that estimated agreement for a diagnosis of FASD or no-FASD between two or more FASD criteria using two-by-two tables or presented data that could be used to generate the tables. Meta-analyses with confidence intervals were included to demonstrate variability in the estimates. Standardized measures of agreement were assessed using the kappa statistic with 95% confidence intervals and the phi coefficient as a measure of correlation between binary outcomes. The search identified six studies reporting on eight different FASD diagnostic criteria. The studies compared agreement between 17 different pairings of the criteria. For individual children, agreement ranged from 53.7% to 91%. The agreement between the eight different diagnostic criteria ranged from 59.4% to 89.5%. The kappa statistic found that five associations had a kappa ranging from 0.6 to 0.8. This study illustrates that comparisons of multiple pairs of diagnostic criteria are likely to result in considerable variation in diagnoses of FASD for individual children and between different criteria. The lack of agreement between these commonly used systems is likely to affect clinical care and studies where diagnosis is a key variable. Large-scale multicenter research is needed to examine factors contributing to variation in diagnostic outcomes.

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