Objective To evaluate whether the paper titled “Application of tumor type M2 pyruvate kinase in the diagnosis of lung cancer” met the standards set in the STARD statement. Methods Based on each of the 25 items of STAndards for the Reporting of Diagnostic accuracy studies (STARD statement), the paper titled “Application of tumor type M2 pyruvate kinase in the diagnosis of lung cancer” was checked and evaluated. Results In the paper titled “Application of tumor type M2 pyruvate kinase in the diagnosis of lung cancer”, the reporting of 1 item of the STARD statement was adequately standardized, 7 items were relatively standardized, 5 items were inadequately standardized, 2 items were not standardized, and the other 10 were not reported. Conclusion Generally speaking, the reporting of diagnostic accuracy studies has not been standardized adequately in China. The methodological quality and applicability of diagnostic accuracy studies should be improved.
Objective To evaluate the accuracy of soluble triggering receptor expressed on myeloid cells-1 ( sTREM-1) as a diagnostic index for ventilator-associated pneumonia ( VAP) . Methods We searched the PubMed, EMBase, Cochrane Library,Wanfang Database, CNKI and VIP for clinical trials which assessed the diagnosis accuracy of sTREM-1 for VAP. The methodological quality of each study was assessed by the quality assessment for studies of diagnostic accuracy ( QUADAS) tool. The Meta-disc software was used to conduct merger analyses on sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. The heterogeneity test was performed and summary receiver operating characteristic ( SROC) curve was completed. Results 8 studies were included ( 180 VAP patients and 224 non-VAP patients) . The value of merger sensitivity, specificity, and diagnostic odds ratio were 0. 80, 0. 74, and 13. 89, respectively. The area under of SROC curve was 0. 857, with Q point at 0. 788. Conclusion sTREM-1 showed moderate accuracy for VAP diagnosis in adult mechanically ventilated patients, which should be combined with other diagnostic markers to further improve the sensitivity and specificity.
The approaches of rating the quality of evidence of systematic reviews of diagnostic accuracy tests are different from systematic reviews of interventional studies. This article systematically introduces the application of GRADE in systematic reviews of diagnostic accuracy tests by a case interpretation and analysis. In this article we present rating workflow in systematic reviews of diagnostic accuracy tests and introduce how to use the GDT website to display the rating results, and interpret the conclusion of systematic reviews based on GRADE results.
The mada package is a type of package that is especially used for implementing meta-analysis of diagnostic accuracy tests. This package is developed on basis of classical statistical theories and it can be used to calculate all relevant effect size of diagnostic accuracy tests; however, it does not provide pooled values of sensitivity and specificity. This article uses an example to introduce the whole functions of mada package in implementing meta-analysis of diagnostic accuracy tests, including data preparation, calculation implementation, result summary, and plots drawing.
The standards for reporting of diagnostic accuracy (STARD) was developed for guiding the reporting of diagnostic accuracy studies. Its newest version was published in 2015. The study mainly introduced the checklist, terminology, and diagram of the STARD 2015. It is hoped that domestic researchers could use the STARD 2015 to guide the implementation and reporting of their diagnostic accuracy studies, so as to improve the reporting quality of diagnostic accuracy studies.
The standards for reporting of diagnostic accuracy for studies in journal or conference abstracts (STARD for Abstracts) was developed for guiding the reporting of abstracts of diagnostic accuracy studies, which was published in BMJ in August 2017. The study mainly introduced and interpreted the items of STARD for Abstracts, in order to help domestic researchers to perform and report the abstracts of diagnostic accuracy studies by STARD for Abstracts.
Receiving the amount of true positives, false positives, false negatives and true negatives is necessary when conducting meta-analysis of diagnostic tests. Advanced methods of data extraction are required if these data could not be directly obtained from a literature. We introduced three methods and discussed the theories. An example was then given to illustrate how to apply the methods.
ObjectiveTo systematically review the diagnostic value of T-SPOT.TB and QuantiFERON-TB (QFT-GIT/QFT-Plus) in active tuberculosis (ATB). MethodsThe PubMed, Web of Science, Cochrane Library, EMbase, CNKI, WanFang Data, and CBM databases were electronically searched to collect diagnostic accuracy studies comparing QFT-GIT/QFT-Plus and T-SPOT.TB for diagnosing ATB from inception to February 8, 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies, then, meta-analysis was performed by using Stata 16.0 software. ResultsA total of 20 studies were included. The results of meta-analysis showed that the pooled sensitivity of T-SPOT.TB and QFT-GIT were 0.89 (95%CI 0.85 to 0.92) and 0.84 (95%CI 0.79 to 0.89), the pooled specificity were 0.85 (95%CI 0.68 to 0.93) and 0.86 (95%CI 0.72 to 0.94), the area under the curve (AUC) of summary receiver operating characteristic (SROC) were 0.93 (95%CI 0.84 to 0.97) and 0.90 (95%CI 0.56 to 0.99), respectively. The pooled sensitivity of T-SPOT.TB and QFT-Plus were 0.93 (95%CI 0.81 to 0.97) and 0.93 (95%CI 0.89 to 0.96), specificity were 0.99 (95%CI 0.39 to 1.00) and 0.94 (95%CI 0.67 to 0.99), the AUC of SROC were 0.99 (95%CI 0.67 to 1.00) and 0.98 (95%CI 0.65 to 1.00), respectively. ConclusionBoth T-SPOT.TB and QFT have high diagnostic accuracy for ATB, and the diagnostic sensitivity of T-SPOT.TB is better than QFT-GIT. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.