Interpretation and assessment of reporting guideline of systematic review/meta-analysis for diagnostic test accuracy study (PRISMA-DTA)_Chinese Journal of Evidence-Based Medicine

Authors：

ZHANG Yonggang ¹ , YANG Letian ² , YANG Xin ² , XIAO Bowen ² ,  TIAN Jinhui ³ ,  DU Liang ¹

1. Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, P.R.China;
2. West China School of Medicine, Sichuan University, Chengdu, 610041, P.R.China;
3. Evidence-based Medicine Center, Lanzhou University, Lanzhou, 730000, P.R.China;

Corresponding?author：

TIAN Jinhui, Email: tjh996@163.com; DU Liang, Email: 125798620@qq.com

Keywords：

Diagnostic test accuracy; PRISMA statement; Interpretation; PRISMA-DTA statement

DOI：

10.7507/1672-2531.201808012

Video：

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The PRISMA-DTA Statement is an expanded checklist of the original PRISMA, which is aimed at improving the reporting quality of the systematic review or meta-analysis of diagnostic test accuracy studies. It was published on JAMA in January 2018. This paper explained it and provided reference for improving the reporting quality of systematic review/meta-analysis of DTA for Chinese authors.

Citation： ZHANG Yonggang, YANG Letian, YANG Xin, XIAO Bowen, TIAN Jinhui, DU Liang. Interpretation and assessment of reporting guideline of systematic review/meta-analysis for diagnostic test accuracy study (PRISMA-DTA). Chinese Journal of Evidence-Based Medicine, 2018, 18(9): 1007-1016. doi: 10.7507/1672-2531.201808012 Copy

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2.	Leeflang MM. Systematic reviews and meta-analyses of diagnostic test accuracy. Clin Microbiol Infect, 2014, 20(2): 105-113.
3.	McInnes MDF, Moher D, Thombs BD, et al. Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: The PRISMA-DTA Statement. JAMA, 2018, 319(4): 388-396.
4.	Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med, 2009, 6(7): e1000100.
5.	郭琪, 李覺, 胡忠義, 等. 焦磷酸測序技術檢測結核分枝桿菌異煙肼耐藥性的 Meta 分析. 中華檢驗醫學雜志, 2013, 36(4): 329-332.
6.	Detjen AK, DiNardo AR, Leyden J, et al. Xpert MTB/RIF assay for the diagnosis of pulmonary tuberculosis in children: a systematic review and meta-analysis. Lancet Respir Med, 2015, 3(6): 451-461.
7.	Babafemi EO, Cherian BP, Banting L, et al. Effectiveness of real-time polymerase chain reaction assay for the detection of Mycobacterium tuberculosis in pathological samples: a systematic review and meta-analysis. Syst Rev, 2017, 6: 215.
8.	Datta S, Shah L, Gilman RH, et al. Comparison of sputum collection methods for tuberculosis diagnosis: a systematic review and pairwise and network meta-analysis. Lancet Glob Health, 2017, 5(8): e760-e771.
9.	Wang Y, Shen Z, Lu X, et al. Sensitivity and specificity of ultrasound for the diagnosis of acute pulmonary edema: a systematic review and meta-analysis. Med Ultrason, 2017, 1(1): 32-36.
10.	馬清光, 李慧敏, 李紅英. 胸水腺苷脫氨酶對結核性胸膜炎診斷價值的 Meta 分析. 臨床薈萃, 2017, 22(4): 523-527.
11.	于璐, 孟存仁, 張朝霞. 聚合酶鏈反應-單鏈構象多態性檢測 rpoB 基因突變對結核分支桿菌耐利福平診斷價值的 Meta 分析. 中國循證醫學雜志, 2014, 14(6): 698-706.
12.	陶歡, 楊樂天, 平安, 等. 隨機或非隨機防治性研究系統評價的質量評價工具 AMSTAR 2 解讀. 中國循證醫學雜志, 2018, 18(1): 101-108.

1. Leeflang MM, Deeks JJ, Takwoingi Y, et al. Cochrane diagnostic test accuracy reviews. Syst Rev, 2013, 2: 82.
2. Leeflang MM. Systematic reviews and meta-analyses of diagnostic test accuracy. Clin Microbiol Infect, 2014, 20(2): 105-113.
3. McInnes MDF, Moher D, Thombs BD, et al. Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: The PRISMA-DTA Statement. JAMA, 2018, 319(4): 388-396.
4. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med, 2009, 6(7): e1000100.
5. 郭琪, 李覺, 胡忠義, 等. 焦磷酸測序技術檢測結核分枝桿菌異煙肼耐藥性的 Meta 分析. 中華檢驗醫學雜志, 2013, 36(4): 329-332.
6. Detjen AK, DiNardo AR, Leyden J, et al. Xpert MTB/RIF assay for the diagnosis of pulmonary tuberculosis in children: a systematic review and meta-analysis. Lancet Respir Med, 2015, 3(6): 451-461.
7. Babafemi EO, Cherian BP, Banting L, et al. Effectiveness of real-time polymerase chain reaction assay for the detection of Mycobacterium tuberculosis in pathological samples: a systematic review and meta-analysis. Syst Rev, 2017, 6: 215.
8. Datta S, Shah L, Gilman RH, et al. Comparison of sputum collection methods for tuberculosis diagnosis: a systematic review and pairwise and network meta-analysis. Lancet Glob Health, 2017, 5(8): e760-e771.
9. Wang Y, Shen Z, Lu X, et al. Sensitivity and specificity of ultrasound for the diagnosis of acute pulmonary edema: a systematic review and meta-analysis. Med Ultrason, 2017, 1(1): 32-36.
10. 馬清光, 李慧敏, 李紅英. 胸水腺苷脫氨酶對結核性胸膜炎診斷價值的 Meta 分析. 臨床薈萃, 2017, 22(4): 523-527.
11. 于璐, 孟存仁, 張朝霞. 聚合酶鏈反應-單鏈構象多態性檢測 rpoB 基因突變對結核分支桿菌耐利福平診斷價值的 Meta 分析. 中國循證醫學雜志, 2014, 14(6): 698-706.
12. 陶歡, 楊樂天, 平安, 等. 隨機或非隨機防治性研究系統評價的質量評價工具 AMSTAR 2 解讀. 中國循證醫學雜志, 2018, 18(1): 101-108.

Chinese Journal of Evidence-Based Medicine

Interpretation and assessment of reporting guideline of systematic review/meta-analysis for diagnostic test accuracy study (PRISMA-DTA)

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