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.
Scientific and rigorous study design could improve the reliability of results of the comparative diagnostic test accuracy studies. The design procedures of a comparative diagnostic test accuracy study included: constructing the clinical questions, identifying the appropriate gold standard, selecting the representative patient sample, calculating the sample size, blindly interpreting and comparing the results of diagnostic tests, and setting up the cut-off value. This paper introduced 5 categories of the designs of comparative diagnostic test accuracy studies: fully paired, partially paired with a random subset, partially paired with a nonrandom subset, unpaired randomized, and unpaired nonrandomized design.
Brain computer interface is a control system between brain and outside devices by transforming electroencephalogram (EEG) signal. The brain computer interface system does not depend on the normal output pathways, such as peripheral nerve and muscle tissue, so it can provide a new way of the communication control for paralysis or nerve muscle damaged disabled persons. Steady state visual evoked potential (SSVEP) is one of non-invasive EEG signals, and it has been widely used in research in recent years. SSVEP is a kind of rhythmic brain activity simulated by continuous visual stimuli. SSVEP frequency is composed of a fixed visual stimulation frequency and its harmonic frequencies. The two-dimensional ensemble empirical mode decomposition (2D-EEMD) is an improved algorithm of the classical empirical mode decomposition (EMD) algorithm which extended the decomposition to two-dimensional direction. 2D-EEMD has been widely used in ocean hurricane, nuclear magnetic resonance imaging (MRI), Lena image and other related image processing fields. The present study shown in this paper initiatively applies 2D-EEMD to SSVEP. The decomposition, the 2-D picture of intrinsic mode function (IMF), can show the SSVEP frequency clearly. The SSVEP IMFs which had filtered noise and artifacts were mapped into the head picture to reflect the time changing trend of brain responding visual stimuli, and to reflect responding intension based on different brain regions. The results showed that the occipital region had the strongest response. Finally, this study used short-time Fourier transform (STFT) to detect SSVEP frequency of the 2D-EEMD reconstructed signal, and the accuracy rate increased by 16%.
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.
Previous methods of grading evidence for systematic reviews of diagnostic test accuracy have generally focused on assessing the certainty (quality) of evidence at the level of diagnostic indicators. When the question is not limited to follow the diagnostic test accuracy results themselves, the grading results may be inaccurate due to the lack of consideration of the downstream effects of the test accuracy in specific settings. To address these challenges, the GRADE working group conducted a series of studies focused on updating methods to explore or simulate important downstream effects of diagnostic test accuracy outcomes within a contextual framework. This paper aimed to introduce advances in the contextual framework of the GRADE approach to rate the certainty of evidence from systematic reviews of single diagnostic test accuracy.
With the development of artificial intelligence, machine learning has been widely used in diagnosis of diseases. It is crucial to conduct diagnostic test accuracy studies and evaluate the performance of models reasonably to improve the accuracy of diagnosis. For machine learning-based diagnostic test accuracy studies, this paper introduces the principles of study design in the aspects of target conditions, selection of participants, diagnostic tests, reference standards and ethics.
ObjectiveTo compare the investigation results of compliance and accuracy of hand hygiene in medical staff achieved by Hospital Infection Management Department and Department Infection Management Teams, and analyze the reasons for differences of the results and take measures to improve the investigation ability of hand hygiene in hospitals. MethodsWe statistically analyzed the results of compliance and accuracy of hand hygiene from January to December 2013 investigated by the infection management department and 25 infection management teams. Both the hospital and departments used "WHO Standard Observation Form". Single-blind method was used to observe the implementation of hand hygiene in medical staff. ResultsThe hospital infection management department investigation showed that hand hygiene compliance and accuracy were 64.97% and 87.78%, respectively, while the investigation by infection management teams showed that hand hygiene compliance and accuracy were 90.54% and 93.37%, respectively. The differences between the investigation results of two-level organizations were statistically significant (χ2=286.2, P<0.001; χ2=532.6, P<0.001). ConclusionWe should take measures to enforce the training of hand hygiene implementation and the observation method, and improve the guidance and assessment, promote investigators' working responsibility and observation ability, so that the survey data can accurately reflect the actual situation to urge medical staff to form good hand hygiene habits.
By comparing the diagnostic accuracy of two or more tests in the same study, the one with the higher diagnostic accuracy can be screened. Therefore, it is extremely important to conduct the comparative diagnostic test accuracy study. This paper introduced the concept of the comparative diagnostic test accuracy study, compared it with single diagnostic test accuracy study, and described its role, study design, statistical analysis, current status, and challenges.
ObjectiveTo explore the factors that affect the accuracy of percutaneous thermal ablation of lung metastases and coping strategies.MethodsWe retrospectively analyzed the clinical data of 31 patients who met the conditions for thermal ablation of lung metastases in Ninth People’s Hospital affiliated to Shanghai Jiao Tong University School of Medicine between October 2019 and December 2020. There were 19 males and 12 females with a mean age of 40-81 (62.8±10.3) years. A total of 33 metastases tumors were thermally ablated, 12 were radiofrequency ablation and 19 were microwave ablation.ResultsOf the 33 metastatic tumors, 5 targets showed significant puncture deviation, 4 of them completed the ablation after adjustment and 1 failed. The result of the univariate logistic regression showed the distance within the lung parenchyma (P=0.043) and the maximum diameter of the tumor (P=0.025) were independent risk factors for the accuracy of percutaneous thermal ablation. In terms of correlation, there was a positive correlation between the accuracy of percutaneous thermal ablation and the distance within the lung parenchyma (P=0.033), and a negative correlation between the maximum diameter of metastases tumor (P=0.004) and hemoptysis (P=0.015). Complete ablation rate was 87.8% (29/33).ConclusionWhen we perform CT-guided percutaneous thermal ablation of lung metastases, we must fully prepare the deviation plan for the small diameter tumor, the long travel distance in the lung parenchyma, and hemoptysis during puncture. Complete ablation can be achieved by fully identifying the anatomical features of the tumor and its surrounding structures, shortening the travel distance in the lung parenchyma and increasing the ablation range.
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.