Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Hefei, Anhui, China.
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Immunol Invest. 2022 Jan;51(1):182-198. doi: 10.1080/08820139.2020.1817069. Epub 2020 Sep 24.
To systematically evaluate the diagnostic value of 14-3-3η protein for rheumatoid arthritis (RA).
Searched PubMed, Web of Science, Embase and China Biology Medicine (CBM) databases comprehensively from inception to May 2020. The evaluation index were the pooled sensitivity, specificity, diagnosis odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), as well as the area under the summary receiver operating characteristic (SROC) curves. Meta-Disc 1.4 and RevMan 5.3 were used to analyze all statistics. QUADAS-2 tool was applied to evaluate the quality of eligible studies. Subgroup analysis and meta-regression were used to explore the sources of heterogeneity.
Nine articles containing eleven records were eligible for this meta-analysis. The pooled sensitivity of 14-3-3η was 0.63 (95% CI: 0.60 to 0.66), the pooled specificity was 0.90 (95% CI: 0.88 to 0.91). The pooled PLR and NLR was 6.10 (95% CI: 4.67 to 7.96) and 0.40 (95% CI: 0.33 to 0.48), respectively. The pooled DOR was 15.90 (95% CI: 11.15 to 22.68), and the area under the curve (AUC) was 0.8696. Compared with a single indicator (rheumatoid factor or anti-citrullinated protein antibodies), adding 14-3-3η can bring incremental benefits to the diagnosis of RA. The results of subgroup analysis and meta-regression suggested that the two factors (ethnicity, early vs established RA) we analyzed might not be the source of heterogeneity (P value were 0.0979 and 0.4298, respectively) and there was no publication bias among these articles (P = .42).
Serum 14-3-3η protein is a supplementary biomarker in the diagnosis of RA.
系统评价 14-3-3η 蛋白对类风湿关节炎(RA)的诊断价值。
全面检索 PubMed、Web of Science、Embase 和中国生物医学文献数据库,检索时限均从建库至 2020 年 5 月。评估指标包括汇总敏感度、汇总特异度、诊断优势比(DOR)、阳性似然比(PLR)、阴性似然比(NLR)以及汇总受试者工作特征曲线下面积(SROC)。采用 Meta-Disc1.4 和 RevMan5.3 进行统计分析,采用 QUADAS-2 工具评价纳入研究的质量。采用亚组分析和 meta 回归探索异质性来源。
共纳入 9 篇文献 11 项研究。14-3-3η 的汇总敏感度为 0.63(95%CI:0.600.66),汇总特异度为 0.90(95%CI:0.880.91)。汇总 PLR 和 NLR 分别为 6.10(95%CI:4.677.96)和 0.40(95%CI:0.330.48),汇总 DOR 为 15.90(95%CI:11.15~22.68),曲线下面积(AUC)为 0.8696。与单一指标(类风湿因子或抗瓜氨酸化蛋白抗体)相比,加入 14-3-3η 可使 RA 诊断获益增加。亚组分析和 meta 回归结果提示,我们分析的两个因素(种族、早期 RA 与已确立的 RA)可能不是异质性的来源(P 值分别为 0.0979 和 0.4298),且这些文章中没有发表偏倚(P=0.42)。
血清 14-3-3η 蛋白是 RA 诊断的辅助生物标志物。