评估多种基于全血计数的地中海贫血诊断检测策略的比较疗效:一项荟萃分析

IF 0.2 Q4 PHARMACOLOGY & PHARMACY
Abhishek Samanta, N. Bhattacharyya
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引用次数: 0

摘要

背景:全血细胞计数(CBC)与验证性高效液相色谱(HPLC)是地中海贫血筛查的金标准。由于高压液相色谱设备的限制,当要筛选的人群很大时,他们开发了筛选的替代方法。目的:本荟萃分析的目的是评估地中海贫血筛查替代方法的诊断准确性。这项研究很重要,因为准确和可获得的地中海贫血筛查可以改善患者的生活质量并减轻卫生保健系统的负担。设置和设计:系统评价和荟萃分析遵循系统评价和荟萃分析指南的首选报告项目。对象和方法:本系统综述包括2012年至2022年间发表的74284例地中海贫血阳性患者,采用CBC和常规HPLC方法鉴定。经进一步筛选,本研究共纳入23项研究。使用的统计分析:Moses-Littenberg总结接收者工作特征(SROC)模型、双变量模型和SROC报告模型是也考虑敏感性和特异性的模型的例子。结果:总诊断优势比为88.981(95%可信区间为37.645 ~ 210.321)。亚组分析采用混合效应模型,I2(残余异质性/未解释的变异性)为90%,ROC曲线下的部分面积(仅限于观察到的假阳性率和归一化)为0.951。结论:本系统综述探讨了使用CBC参数区分缺铁性贫血和地中海贫血特征的有效性。这有助于降低医疗保健成本并提高结果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the comparative efficacy of multiple whole-blood count-based testing strategies for thalassaemia diagnosis: A meta-analysis
Context: Complete blood count (CBC) with confirmatory high-performance liquid chromatography (HPLC) is the gold standard for thalassemia screening. Because of the constraints of a high-pressure liquid chromatography facility, they develop alternative approaches to screening when the population to be screened is large. Aims: The objective of this meta-analysis is to evaluate the diagnostic accuracy of alternative approaches to thalassemia screening. This study is important, as accurate and accessible thalassemia screening can improve the quality of life for patients and reduce the burden on health-care systems. Settings and Design: The systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Subjects and Methods: The present systematic review comprises 74,284 thalassemia-positive patients, identified using CBC and conventional HPLC methods was published between 2012 and 2022. After further screening, 23 studies were included in the present study. Statistical Analysis Used: The Moses-Littenberg Summary Receiver Operating Characteristic (SROC) model, the bivariate model, and the SROC reporting model are the examples of models that also consider sensitivity and specificity. Results: The total diagnostic odds ratio was 88.981 (95% confidence interval 37.645–210.321). Subgroup analysis was determined by a mixed-effects model, with I2 (residual heterogeneity/unaccounted variability) at 90% and Partial Area under ROC curve (restricted to observed False Positive Rates and normalized) was 0.951. Conclusions: This systematic review investigated the efficacy of using CBC parameters to distinguish between iron deficiency anemia and the thalassemia trait. This can help reduce health-care costs and improve the accuracy of the results.
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