Value of clinical tests in diagnosing anterior cruciate ligament injuries: A systematic review and meta-analysis

Objectives:This study compared 4 clinical tests with reference to magnetic resonance imaging and arthroscopic visualization to comprehensively evaluate their diagnostic value for anterior cruciate ligament injuries.Methods:We systematically searched 10 electronic databases from January 1, 2010, to May 1, 2021. Two reviewers collected data in accordance with the Preferred Reporting Item for Systematic Reviews and Meta-Analyses 2020 guidelines. The quality of each study was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. A meta-analysis was performed using Meta-Disc version 1.4 and Stata SE version 15.0.Results:Eighteen articles involving 2031 participants were included. The results of the meta-analysis showed that for the Lachman test, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio, area under the curve (AUC) of summary receiver operating characteristic (SROC), and Q* were 0.76 (95% CI, 0.73–0.78), 0.89 (95% CI, 0.87–0.91), 5.65 (95% CI, 4.05–7.86), 0.28 (95% CI, 0.23–0.36), 22.95 (95% CI, 14.34–36.72), 0.88, and 0.81, respectively. For the anterior drawer test, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio, AUC of SROC, and Q* were 0.64 (95% CI, 0.61–0.68), 0.87 (95% CI, 0.84–0.90), 3.57 (95% CI, 2.13–5.96), 0.44 (95% CI, 0.32–0.59), 8.77 (95% CI, 4.11–18.74), 0.85, and 0.78, respectively. For the pivot shift test, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio, AUC of SROC, and Q* were 0.59 (95% CI, 0.56–0.62), 0.97 (95% CI, 0.95–0.98), 13.99 (95% CI, 9.96–19.64), 0.44 (95% CI, 0.35–0.55), 29.46 (95% CI, 15.60–55.67), 0.98, and 0.94, respectively. For the lever sign test, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio, AUC of SROC, and Q* were 0.79 (95% CI, 0.75–0.83), 0.92 (95% CI, 0.87–0.95), 9.56 (95% CI, 2.76–33.17), 0.23 (95% CI, 0.12–0.46), 47.38 (95% CI, 8.68–258.70), 0.94, and 0.87, respectively.Conclusions:Existing evidence shows that these clinical tests have high diagnostic efficacy for anterior cruciate ligament injuries, and that every test has its own advantages and disadvantages. However, the above results should be validated through additional studies, considering the limited quality and quantity of our sample.     

Diagnostic accuracy of interleukin-33 for tuberculous pleural effusion: A systematic review and meta-analysis

Background:The detection of interleukin 33 (IL-33) in pleural effusion may be more sensitive in diagnosing tuberculous pleural effusion (TPE). The present study aimed to assess the accuracy of pleural IL-33 for the diagnosis of TPE by means of meta-analysis and systematic review of relevant studies.Method:After retrieving the published studies, the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and a summary receiver operating characteristic curve were assessed to estimate the usefulness of pleural IL-33 in diagnosing TPE using meta-analysis with a random-effects model. We also performed meta-regression and subgroup analysis.Results:A total of 639 patients from 6 studies were analyzed. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.87 (95% confidence interval [CI], 0.82–0.91), 0.76 (95% CI, 0.72–0.80), 6.54 (95% CI, 2.65–16.15), 0.17 (95% CI, 0.10–1.27), and 45.40 (95% CI, 12.83–160.70) respectively. The area under the curve was 0.94. The composition of the included population was the main cause of heterogeneity and subgroup analysis showed that pleural IL-33 had a higher specificity (0.93, 95% CI 0.87–0.96) when used for differential diagnosis between TPE and malignant pleural effusion.Conclusion:The detection of IL-33 alone in pleural effusion seems to not be an efficient diagnostic marker for TPE but may serve as a novel biomarker to differentiate between TPE and malignant pleural effusion.     

The diagnostic value of interleukin 6 as a biomarker for gastric cancer: A meta-analysis and systematic review

Background:Gastric cancer is one of the most common cancers and a main cause of global cancer death. The expression of interleukin 6 is associated with the risk of gastric cancer. But the diagnostic accuracy of interleukin 6 remains unclear. This study was designed to assess the diagnostic performance of interleukin 6 in gastric cancer diagnosis.Methods:The related data was obtained from Oncomine and studied using bioinformatics analysis. The PubMed, Embase, Cochrane Library, Web of science databases were searched for related studies published from inception to July 14, 2020. Measuring tools of diagnostic performance including sensitivity, specificity, and diagnostic odds ratio were pooled using bivariate mixed-effects meta-analysis model. The summery receiver operator characteristic curves were plotted.Results:The result from Oncomine showed that the expression of interleukin 6 in gastric cancer (GC) patients was higher than the normal groups (P < .05). Furthermore, a total of 4 eligible articles were enrolled, containing 390 cases and 404 controls. The diagnostic results were as follows: a sensitivity of 0.80 (95% confidence interval [CI] 0.57–0.92), a specificity of 0.86 (95% CI 0.74–0.93), a positive likelihood ratio of 5.76 (95% CI 3.49–9.49), a negative likelihood ratio of 0.23 (95% CI 0.11–0.51) and a diagnostic odds ratio of 24.58 (95% CI 14.14–42.73). The summary area under the receiver operating characteristic curves was 0.90 (95% CI 0.87–0.93).Conclusion:Higher interleukin 6 expression was detected in GC patients, and interleukin 6 could be a helpful indicator of diagnosis of gastric cancer. Further large-scale prospective studies are required for identifying the diagnostic value of interleukin 6 in gastric cancer.     

Salivary peptest for laryngopharyngeal reflux and gastroesophageal reflux disease: A systemic review and meta-analysis

Background:A rapid lateral flow test (Peptest) to detect pepsin in saliva/sputum has been considered as a valuable method for diagnosing laryngopharyngeal reflux (LPR) and gastroesophageal reflux disease (GERD). The aim of this meta-analysis is to analyze the utility of Peptest for diagnosis of LPR and GERD.Methods:PubMed, EMBASE, and the Cochran Library (from January 1980 to 26 January 2020) were searched for pepsin in saliva for LPR/GERD diagnosis. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve data were summarized to examine the accuracy.Results:A total of 16 articles that included 2401 patients and 897 controls were analyzed. The pooled sensitivity and specificity for the diagnosis of GERD/LPR with Peptest were 62% (95% confidence interval [CI] 49%–73%) and 74% (95% CI 50%–90%), respectively. The summarized diagnostic odds ratio and area under the curve were 5.0 (95% CI 2–19) and 0.70 (95% CI 0.66–0.74), respectively.Conclusion:Peptest shows moderate diagnostic value for LPR and GERD. More studies with standard protocols should be done to verify its usefulness.     

AFP-L3 for the diagnosis of early hepatocellular carcinoma: A meta-analysis

Background:The present study aimed to systematically evaluate the diagnostic value of an isoform of alpha-fetoprotein (AFP), AFP-L3, for early hepatocellular carcinoma (HCC) by a meta-analysis.Methods:Diagnostic reports of AFP-L3% in early HCC were searched in the PubMed, Web of Science, Cochrane Library, and Embase databases up to December 2019. The retrieved literature was reviewed, and eligible articles were selected. Data were extracted from the eligible articles, and the risk of bias was evaluated according to the Quality Assessment of Diagnostic Accuracy Studies scale. Statistical analyses were conducted by MetaDiSc1.4 and RevMan5.3 software. The sensitivities, specificities, and diagnostic odds ratios were pooled. The summary receiver operating characteristic curve was drawn, and the area under the curve was calculated.Results:Six studies with acceptable quality were included in the meta-analysis involving 2447 patients. No threshold effect was observed among the 6 studies, but there was obvious heterogeneity. The pooled sensitivity, specificity, and positive and negative likelihood ratios of AFP-L3% for the diagnosis of early HCC were 0.34 (95% CI 0.30–0.39, P < .0001), 0.92 (95% CI 0.91–0.93, P < .0001), 4.46 (95% CI 2.94–6.77, P = .0033), and 0.71 (95% CI 0.61–0.82, P = .0004), respectively. The diagnostic odds ratio was 6.78 (95% CI 4.02–11.44, P = .0074). The the area under the curve of the summary receiver operating characteristic was 0.755 (95% CI 0.57–0.94).Conclusion:AFP-L3% has high specificity but low sensitivity for diagnose early HCC, suggesting that AFP-L3% is more valuable for excluding HCC in conditions with elevated AFP than for diagnosing early HCC. In addition, a hypersensitive detection method can improve the diagnostic accuracy of AFP-L3% for early HCC.     

The value of positron emission tomography computed tomography in predicting invasiveness of ground glass nodules: A protocol for systematic review and meta-analysis

Background:The study was conducted to investigate the value of Positron emission tomography computed tomography (PET/CT) in predicting invasiveness of ground glass nodule (GGN) by the method of meta-analysis.Methods:Two researchers independently searched for published literature on PET/CT diagnosis of GGN as of November 30, 2020. After extracting the data, RevMan5.3 was used to evaluate the quality of the included literature. The Stata14 software was used to test the heterogeneity of the original study that met the inclusion criteria, to calculate the combined sensitivity, specificity, positive likelihood ratio and negative likelihood ratio, the prior probability and posttest probability. The summary receiver operator characteristic curve was drawn and the area under the curve was calculated. Using Deeks funnel plot to evaluate publication bias.Results:Five studies were finally included, including 298 GGN cases. The included studies had no obvious heterogeneity and publication bias. The combined sensitivity and specificity of PET/CT for predicting invasive adenocarcinoma presenting as GGN were 0.74 (95% confidence interval [CI]: 0.68–0.79), 0.82 (95% CI: 0.71–0.90), positive likelihood ratio and negative likelihood ratio were 4.1 (95% CI: 2.5–6.9), 0.32 (95% CI: 0.25–0.40), and the diagnostic odds ratio was 13 (95% CI: 7–26). The prior probability is 20%, the probability of GGN being invasive adenocarcinoma when PET/CT was negative was reduced to 7%, and the probability of GGN being invasive adenocarcinoma when PET/CT was positive was increased to 51%. The area under the curve of the summary receiver operator characteristic curve was 0.85.Conclusion:PET/CT has high diagnostic accuracy for invasive adenocarcinoma presenting as GGN.     

Diagnostic accuracy of endoscopic ultrasound-guided fine-needle aspiration for pancreatic cancer: A meta-analysis

Background and objectiveEUS-FNA of pancreatic lesion has been put into clinical use widely in many centers. The present meta-analysis was conducted to study the diagnostic role of EUS-FNA in pancreatic cancer.MethodsA comprehensive review of study on the precision of EUS-FNA in the diagnosis of pancreatic cancer. A random effects model was used to pool the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR). A summary receiver-operating characteristic (SROC) was constructed to summarize the overall test performance.ResultsThirty-one articles were eligible for the meta-analysis. The pooled sensitivity, specificity, PLR, NLR and DOR of EUS-FNA in the diagnosis of pancreatic cancer were 0.89 (95% CI: 0.88–0.90), 0.96 (95% CI: 0.95–0.97), 16.88 (95% CI: 10.63–26.79), 0.13 (95%CI: 0.10–0.16) and 150.80 (95%CI: 95.94–237.03) respectively. In subgroup meta-analysis of the prospective studies, the pooled sensitivity, specificity, PLR, NLR and DOR were 0.91 (95% CI: 0.90–0.93), 0.94 (95% CI: 0.91–0.96), 11.19 (95% CI: 6.36–19.69), 0.10 (95% CI: 0.07–0.15) and 125.22 (62.37–251.41). The area under the curve (AUC) was 0.97, indicating a good performance of overall accuracy.ConclusionEUS-FNA has the high sensitivity and specificity in differentiating pancreatic cancer. Moreover, it is also a safe diagnostic modality with little complications.     

Endoscopic ultrasound guided fine needle aspiration for the diagnosis of intra-abdominal lymphadenopathy: a systematic review and meta-analysis

Abstract

Background: It is difficult to diagnose the cause of abdominal lymphadenopathy without determining the primary lesions. With the advent of curved ultrasound endoscopy, EUS-FNA can sample lymph nodes safely, accurately and conveniently. Due to the lack of formal quantitative and comprehensive literature review to determine the diagnostic value of EUS-FNA in the diagnosis of enlarged intra-abdominal lymph nodes of unknown origin, we conducted this study to systematically evaluate the diagnostic accuracy of EUS-FNA in the enlarged intra-abdominal lymph nodes.

Methods: We performed a systematic review and meta-analysis to evaluate the accuracy of EUS-FNA for the diagnosis of intra-abdominal lymphadenopathy. We searched PubMed, Embase, and Cochrane Library to collect related studies and diagnostic performance data. We used a random-effects model to estimate the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio (DOR). Heterogeneity was assessed by subgroup and meta-regression analysis.

Results: Twelve eligible studies involved 774 patients were identified. The pooled sensitivity and specificity of all studies is 94% (95% CI: 91% to 96%) and 98% (95% CI: 96% to 99%), respectively. The pooled positive and negative likelihood ratios are 17.44 (95% CI, 6.50 to 46.79) and 0.09 (95% CI: 0.06 to 0.14). The pooled DOR is 277.82 (95% CI, 97.65 to 790.46).

Conclusions: EUS-FNA is a safe and feasible technique with high sensitivity and specificity for the diagnosis of abdominal lymph node enlargement. Considering the limitations and heterogeneity, high-quality studies are needed to further explore the diagnostic value of EUS-FNA.     

Diagnostic value of microRNA-25 in patients with non-small cell lung cancer in Chinese population: A systematic review and meta-analysis

Objective:Previous studies have shown that microRNA-25 (miR-25) plays a key role in the occurrence and development of non-small cell lung cancer (NSCLC). Many studies have shown that there is a significant increment of miR-25 in circulating blood of patients with NSCLC. The meta-analysis aims to explore diagnostic value of miR-25 in NSCLC in Chinese population.Methods:PubMed, Web of science, Excerpta Medica Database, China national knowledge infrastructure and China Wanfang database were searched to collect studies upon correlation between miR-25 and diagnosis of the patients with NSCLC until April 2020. Combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under receiver operating characteristic curve were calculated by Stata 15.0 software. Literature assessment was conducted according to quality assessment of diagnostic accuracy studies, and documents with scores above or equal to 11 were included in this meta-analysis.Results:Six studies were included, including 480 cases with NSCLC and 451 healthy controls. The combined sensitivity (0.75, 95% confidence interval [CI]: 0.69∼0.80), specificity (0.81, 95% CI: 0.76∼0.86), positive likelihood ratio (4.04, 95% CI: 3.14∼5.20), negative likelihood ratio (0.31, 95% CI: 0.25∼0.37), diagnostic odds ratio (13.09, 95% CI: 9.37∼18.29) and area under curve (0.85, 95% CI: 0.82∼0.88) indicated that miR-25 had desirable diagnostic accuracy for NSCLC.Conclusion:MiR-25 can be applied in diagnosis of NSCLC and has potential of becoming a biomarker for detection of patients with early NSCLC in Chinese population.     

Histopathological Diagnostic Value of the IgG4+/IgG+ Ratio of Plasmacytic Infiltration for IgG4-Related Diseases: A PRISMA-Compliant Systematic Review and Meta-Analysis

This article aims to perform a meta-analysis to evaluate the diagnostic value of the immunoglobulin G (IgG)4⁺/IgG⁺ ratio of plasmacytic infiltration for IgG4-related diseases.Four databases—EMBASE, ISI Web of Knowledge, PubMed, and the Cochrane Library—were systematically searched. Approximately 200 participants from several studies were included in this research. STATA 11.2 software (Stata Corporation, College Station, TX) and Meta-DiSc 1.4 (Unit of Clinical Biostatistics, Ramon y Cajal Hospital, Madrid, Spain) were used to perform the meta-analysis.Nine studies were included in the meta-analysis. The pooled diagnostic odds ratio was 18.94 [95% confidence interval (CI), 2.89–124.30]. The sensitivity was 58.80% (95% CI, 50.90–66.30) and the specificity was 90.20% (95% CI, 81.20–95.80). The positive and negative likelihood ratios were 3.12 (95% CI, 1.07–9.16) and 0.26 (95% CI, 0.09–0.70), respectively. The area under the curve of the summary receiver-operating characteristic was 0.88.To conclude, the IgG4⁺/IgG⁺ ratio of plasmacytic infiltration is modestly effective in diagnosing IgG-related disease.     

A systematic review and meta-analysis of circulating cell-free DNA as a diagnostic biomarker for non-small cell lung cancer

BackgroundEarly diagnosis of non-small cell lung cancer (NSCLC) is crucial for treatment. Circulating cell-free DNA (cfDNA) is an extracellular nucleic acid found in serum, and tumor cfDNA circulating in the blood may be used as a biomarker for early diagnosis. The purpose of this study was to evaluate the application value of cfDNA as a biomarker for the diagnosis of NSCLC through meta-analysis.MethodsWe searched the China National Knowledge Infrastructure (CNKI), Wanfang, VIP, PubMed, Cochrane Central Register of Controlled Trials, Embase, and Web of Science databases using the following search terms: lung cancer, NSCLC, biomarkers, circulating cfDNA, cfDNA, circulating tumor DNA (ctDNA), circulating cell-free tumor DNA, and diagnosis. The retrieval period was set until September 2021. According to PICOS (patients, intervention, comparison, outcomes, and study design) principles the inclusion criteria were: aged ≥18 years; at least 10 NSCLC cases; NSCLC patients diagnosed by histopathology or cytology; circulating cfDNA was detected; outcome data could be completely extracted. Bias risk assessment was conducted according to the QUADAS (Quality Assessment of Diagnostic Accuracy Studies). RevMan 5.3 was used for meta-analysis.ResultsEight studies met the inclusion criteria, including a total of 618 NSCLC patients and 635 healthy subjects. The overall sensitivity and specificity were 0.79 [95% confidence interval (CI): 0.75–0.82] and 0.81 (95% CI: 0.78–0.84), respectively. The area under the curve (AUC) of the summary receiving operating characteristic (SROC) curve was 0.8941. The pooled positive likelihood ratio, pooled negative likelihood ratio, and pooled diagnostic odds ratio were 5.37 (95% CI: 2.67–10.81), 0.24 (95% CI: 0.15–0.38), and 24.68 (95% CI: 8.85–68.84), respectively. The patient selection bias was high in two articles was high, unclear in one article, and low in the remaining five ones. The risk of bias in the research index test was unclear in one article, and low in the remaining seven articles. The reference standard bias, and flow and time bias of all articles was low.ConclusionsCirculating cfDNA is an efficacy biomarker in diagnosis of NSCLC. Its clinical application technology is worthy of further research.     

Effectiveness of contrast-enhanced ultrasound for the diagnosis of acute pancreatitis: A systematic review and meta-analysis

ObjectiveTo systematically determine the diagnostic value of contrast-enhanced ultrasound (CEUS) in the assessment of acute pancreatitis.MethodsRelevant studies were identified by searching the database up to December 2016. Patient clinical characteristics and diagnostic sensitivity and specificity were extracted. The summary receiver operating characteristic (ROC) curve was used to examine the accuracy of CEUS. A meta-analysis was performed to evaluate the clinical utility in the diagnosis and evaluation of acute pancreatitis.ResultsFrom 27 citations, seven were included in the meta-analysis, with a total of 421 cases. We detected the heterogeneity of the studies and evidence of publication bias. The methodological quality was moderate. The pooled weighted sensitivity with a corresponding 95% confidence interval (CI) was 0.92 (95% CI: 0.88, 0.95), the specificity was 0.84 (95% CI: 0.78, 0.90), the positive likelihood ratio was 5.38 (95% CI: 3.21, 9.00), the negative likelihood ratio was 0.13 (95% CI: 0.05, 0.36), and the diagnostic odds ratio was 49.37 (95% CI: 14.69, 165.94). The area under the ROC curve was 0.9273 (95% CI: 0.8916, 0.9790).ConclusionsCEUS is a reliable, non-invasive imaging modality with no radiation exposure and a high sensitivity and specificity for the assessment of severity of acute pancreatitis. Nonetheless, it should be applied cautiously, and large-scale, well-designed trials are necessary to assess its clinical value.     

Value of Quantitative and Qualitative Analyses of Circulating Cell-Free DNA as Diagnostic Tools for Hepatocellular Carcinoma: A Meta-Analysis

Qualitative and quantitative analyses of circulating cell-free DNA (cfDNA) are potential methods for the detection of hepatocellular carcinoma (HCC). Many studies have evaluated these approaches, but the results have been variable. This meta-analysis is the first to synthesize these published results and evaluate the use of circulating cfDNA values for HCC diagnosis.All articles that met our inclusion criteria were assessed using QUADAS guidelines after the literature research. We also investigated 3 subgroups in this meta-analysis: qualitative analysis of abnormal concentrations of circulating cfDNA; qualitative analysis of single-gene methylation alterations; and multiple analyses combined with alpha-fetoprotein (AFP). Statistical analyses were performed using the software Stata 12.0. We synthesized these published results and calculated accuracy measures (pooled sensitivity and specificity, positive/negative likelihood ratios [PLRs/NLRs], diagnostic odds ratios [DORs], and corresponding 95% confidence intervals [95% CIs]). Data were pooled using bivariate generalized linear mixed model. Furthermore, summary receiver operating characteristic curves and area under the curve (AUC) were used to summarize overall test performance. Heterogeneity and publication bias were also examined.A total of 2424 subjects included 1280 HCC patients in 22 studies were recruited in this meta-analysis. Pooled sensitivity and specificity, PLR, NLR, DOR, AUC, and CIs of quantitative analysis were 0.741 (95% CI: 0.610–0.840), 0.851 (95% CI: 0.718–0.927), 4.970 (95% CI: 2.694–9.169), 0.304 (95% CI: 0.205–0.451), 16.347 (95% CI: 8.250–32.388), and 0.86 (95% CI: 0.83–0.89), respectively. For qualitative analysis, the values were 0.538 (95% CI: 0.401–0.669), 0.944 (95% CI: 0.889–0.972), 9.545 (95% CI: 5.298–17.196), 0.490 (95% CI: 0.372–0.646), 19.491 (95% CI: 10.458–36.329), and 0.87 (95% CI: 0.84–0.90), respectively. After combining with AFP assay, the values were 0.818 (95% CI: 0.676–0.906), 0.960 (95% CI: 0.873–0.988), 20.195 (95% CI: 5.973–68.282), 0.190 (95% CI: 0.100–0.359), 106.270 (95% CI: 22.317–506.055), and 0.96 (95% CI: 0.94–0.97), respectively.The results in this meta-analysis suggest that circulating cfDNA have potential value for HCC diagnosis. However, it would not be recommended for using independently, which is based on the nonrobust results. After combining with AFP, the diagnostic performance will be improved. Further investigation with more data is needed.     

CT-Base Pulmonary Artery Measurementin the Detection of Pulmonary Hypertension: A Meta-Analysis and Systematic Review

To summarize the performance of CT-based main pulmonary artery diameter or pulmonary artery to aorta ratio (PA:A ratio) measurement in detection of pulmonary hypertension by a systematic review and meta-analysis.A comprehensive literature search was performed to identify studies determining diagnostic accuracy of main pulmonary artery diameter or PA:A ratio measurement for pulmonary hypertension. The Quality Assessment of Diagnostic Accuracy Studies tool was used to assess the quality of the included studies. A bivariate random-effects model was used to pool sensitivity, specificity, positive/negative likelihood ratio (PLR/NLR), and diagnostic odds ratio (DOR). Summary receiver operating characteristic (SROC) curves and area under the curve (AUC) were used to summarize overall diagnostic performance.This meta-analysis included 20 publications involving 2134 subjects. Summary estimates for main pulmonary artery diameter measurement in the diagnosis of pulmonary hypertension were as follows: sensitivity, 0.79 (95% CI 0.72–0.84); specificity, 0.83 (95% CI 0.75–0.89); PLR, 4.68 (95% CI 3.13–6.99); NLR, 0.26 (95% CI 0.20–0.33); DOR, 18.13 (95% CI 10.87–30.24); and AUC 0.87. The corresponding summary performance estimates for using the PA:A ratio were as follows: sensitivity, 0.74 (95% CI 0.66–0.80); specificity, 0.81 (95% CI 0.74–0.86); PLR, 3.83 (95% CI, 2.70–5.43); NLR, 0.33 (95% CI 0.24–0.44); DOR, 11.77 (95% CI 6.60–21.00); and AUC 0.84.Both main pulmonary artery diameter and PA:A ratio are helpful for diagnosing pulmonary hypertension. Nevertheless, the results of pulmonary artery measurement should be interpreted in parallel with the results of traditional tests such as echocardiography.     

Diagnostic accuracy of different computer-aided diagnostic systems for prostate cancer based on magnetic resonance imaging: A systematic review with diagnostic meta-analysis

Background:Computer-aided detection (CAD) system for accurate and automated prostate cancer (PCa) diagnosis have been developed, however, the diagnostic test accuracy of different CAD systems is still controversial. This systematic review aimed to assess the diagnostic accuracy of CAD systems based on magnetic resonance imaging for PCa.Methods:Cochrane library, PubMed, EMBASE and China Biology Medicine disc were systematically searched until March 2019 for original diagnostic studies. Two independent reviewers selected studies on CAD based on magnetic resonance imaging diagnosis of PCa and extracted the requisite data. Pooled sensitivity, specificity, and the area under the summary receiver operating characteristic curve were calculated to estimate the diagnostic accuracy of CAD system.Results:Fifteen studies involving 1945 patients were included in our analysis. The diagnostic meta-analysis showed that overall sensitivity of CAD system ranged from 0.47 to 1.00 and, specificity from 0.47 to 0.89. The pooled sensitivity of CAD system was 0.87 (95% CI: 0.76–0.94), pooled specificity 0.76 (95% CI: 0.62–0.85), and the area under curve (AUC) 0.89 (95% CI: 0.86–0.91). Subgroup analysis showed that the support vector machines produced the best AUC among the CAD classifiers, with sensitivity ranging from 0.87 to 0.92, and specificity from 0.47 to 0.95. Among different zones of prostate, CAD system produced the best AUC in the transitional zone than the peripheral zone and central gland; sensitivity ranged from 0.89 to 1.00, and specificity from 0.38 to 0.85.Conclusions:CAD system can help improve the diagnostic accuracy of PCa especially using the support vector machines classifier. Whether the performance of the CAD system depends on the specific locations of the prostate needs further investigation.     

Hospital-acquired infections caused by enterococci: a systematic review and meta-analysis,WHO European Region, 1 January 2010 to 4 February 2020

BackgroundHospital-acquired infections (HAI) caused by Enterococcus spp., especially vancomycin-resistant Enterococcus spp. (VRE), are of rising concern.AimWe summarised data on incidence, mortality and proportion of HAI caused by enterococci in the World Health Organization European Region.MethodsWe searched Medline and Embase for articles published between 1 January 2010 and 4 February 2020. Random-effects meta-analyses were performed to obtain pooled estimates.ResultsWe included 75 studies. Enterococcus spp. and VRE accounted for 10.9% (95% confidence interval (CI): 8.7–13.4; range: 6.1–17.5) and 1.1% (95% CI: 0.21–2.7; range: 0.39–2.0) of all pathogens isolated from patients with HAI. Hospital wide, the pooled incidence of HAI caused by Enterococcus spp. ranged between 0.7 and 24.8 cases per 1,000 patients (pooled estimate: 6.9; 95% CI: 0.76–19.0). In intensive care units (ICU), pooled incidence of HAI caused by Enterococcus spp. and VRE was 9.6 (95% CI: 6.3–13.5; range: 0.39–36.0) and 2.6 (95% CI: 0.53–5.8; range: 0–9.7). Hospital wide, the pooled vancomycin resistance proportion among Enterococcus spp. HAI isolates was 7.3% (95% CI: 1.5–16.3; range: 2.6–11.5). In ICU, this proportion was 11.5% (95% CI: 4.7–20.1; range: 0–40.0). Among patients with hospital-acquired bloodstream infections with Enterococcus spp., pooled all-cause mortality was 21.9% (95% CI: 15.7–28.9; range: 14.3–32.3); whereas all-cause mortality attributable to VRE was 33.5% (95% CI: 13.0–57.3; range: 14.3–41.3).ConclusionsInfections caused by Enterococcus spp. are frequently identified among hospital patients and associated with high mortality.     

Value of preoperative staging of endometrial carcinoma with contrast-enhanced ultrasonography: A PRISMA compliant meta-analysis

Introduction:Endometrial carcinoma (EC) is the most common gynecologic carcinoma in developed countries and accounts for nearly 5% of carcinoma cases and more than 2% of deaths due to female carcinomas worldwide. Because of this reported risk, it is very important to diagnose and stage it accurately. Therefore, we investigated the staging accuracy of EC with contrast-enhanced ultrasonography (CEUS). Due to a lack of studies on the use of CEUS in staging EC, we performed a systematic review and meta-analysis.Method:We searched PubMed, EMBASE, Cochrane Library, Scopus, Web of science, China National Knowledge Infrastructure (CNKI), and CBM for studies on CEUS in EC diagnosis. Our search keywords were “ultrasonic angiography,” “endometrial neoplasms,” and their synonyms. The studies were screened according to the inclusion and exclusion criteria, and 4 tabular data were extracted. Quality evaluation was performed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) scale. Statistical analysis was done with Stata version 15.1. A random effect model was selected to calculate the pooled sensitivity and specificity. The summary receiver operating characteristic (SROC) curve was obtained, and the area under the curve was calculated.Result:Fifteen studies with 685 patients were included in this quantitative synthesis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio (OR) of CEUS in the diagnosis of EC was 0.81 (95% confidence interval, .76–.85), .90 (.87–.92), 8 (5.8–11.1), .21 (.16–.28), and 38 (22–67), respectively. The area under the curve was 0.93 (.90–.95).Conclusion:CEUS has a high sensitivity and specificity in the diagnosis of EC. It can be considered as an effective and feasible method for EC staging.     

Predictive Accuracy of Amyloid Imaging for Progression From Mild Cognitive Impairment to Alzheimer Disease With Different Lengths of Follow-up: A Meta-analysis

In the past decade, amyloid deposition has been shown to begin many years before the clinical symptoms of dementia in mild cognitive impairment (MCI) due to Alzheimer disease (AD). Longitudinal studies with different follow-up durations have suggested that ¹¹C-Pittsburgh compound B positron emission tomography (¹¹C-PIB-PET) may play a role in stratifying patients with MCI into risk levels for developing AD. However, the predictive accuracy of amyloid imaging for the progression from MCI to AD with different follow-up durations has not yet been systematically evaluated. A formal systematic evaluation of the sensitivity, specificity, and other properties of ¹¹C-PIB-PET was performed.This study aimed to systematically review and meta-analyze published data on the diagnostic performance of ¹¹C-PIB-PET for predicting conversion to AD in patients with MCI and to determine whether long-term follow-up has a positive effect on predictive accuracy.Relevant studies were systematically identified through electronic searches, which were performed in MEDLINE (OvidSP), EMBASE (OvidSP), BIOSIS Previews (ISI Web of Knowledge), Science Citation Index (ISI Web of Knowledge), PsycINFO (Ovid SP), and LILACS (Bireme). The methodological quality of each study was assessed by QUADAS-2. Sensitivities and specificities of ¹¹C-PIB-PET in individual studies were calculated, and the studies underwent meta-analysis with a random-effects model. A summary receiver-operating characteristic curve (SROC) was constructed with the Moses-Shapiro-Littenberg method. Pooled estimates of sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR−), diagnostic odds ratio (DOR), and the SROC curve of each subgroup were determined. Heterogeneity was tested, and potential sources for heterogeneity were explored by assessing whether certain covariates significantly influenced the relative DOR.Eleven eligible studies consisting of a total of 352 patients with MCI at baseline were included. Overall, the studies were of moderate-to-high methodological quality. The sensitivity and specificity of ¹¹C-PIB-PET for predicting conversion to AD ranged from 83.3% to 100% and 41.1% to 100%, respectively, with pooled estimates of 94.7% (95% confidence interval [CI]: 89.8%–97.7%) and 57.2% (95% CI: 50.1%–64.2%), respectively. Moderate heterogeneity was observed for specificity between the included studies (I² = 42.1%). The pooled estimates for the long-term follow-up subgroup were 95.5% sensitivity (95% CI: 84.5%–99.4%) and 72.4% specificity (95% CI: 59.1%–83.3.8%), whereas the pooled estimates for the short-term follow-up subgroup were 94.4% sensitivity (95% CI: 88.2%–97.9%) and 51.0% specificity (95% CI: 42.6%–59.5%). Homogeneity in each subgroup was significantly higher than that of the included studies, and most diagnostic indicators in the long-term follow-up subgroup were far superior to those in the short-term follow-up subgroup or the entire group.Not all of the methodological quality scores of studies included in this systematic review were high.Current evidence suggests that prolongation of the follow-up duration tended to yield greater accuracy of ¹¹C-PIB-PET for predicting the progression from MCI to AD. In particular, the specificity, which reflects the exploratory nature of the use of amyloid imaging to identify the process of MCI to AD, was improved with a longer follow-up period.     

MRI versus CT for the detection of pulmonary nodules: A meta-analysis

Background:Computed tomography (CT) is the current gold standard for the detection of pulmonary nodules but has high radiation burden. In contrast, many radiologists tried to use magnetic resonance imaging (MRI) to replace CT because MRI has no radiation burden associated. Due to the lack of high-level evidence of comparison of the diagnostic accuracy of MRI versus CT for detecting pulmonary nodules, it is unknown whether CT can be replaced successfully by MRI. Therefore, the aim of this study was to compare the diagnostic accuracy of MRI versus CT for detecting pulmonary nodules.Methods:Electronic databases PubMed, EmBase, and Cochrane Library were systematically searched from their inception to September 2017 to identify studies in which CT/MRI was used to diagnose pulmonary nodules. According to true positive, true negative, false negative, and false positive extracted from the included studies, we calculate the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and area under the curve (AUC) using Stata version 14.0 software (STATA Corp, TX).Results:A total of 8 studies involving a total of 653 individuals were included. The pooled sensitivity, specificity, PLR, NLR, and AUC were 0.91 (95% confidence interval [CI]: 0.80–0.96), 0.76 (95%CI: 0.58–0.87), 3.72 (95%CI: 2.05–6.76), 0.12 (95%CI: 0.06–0.27), and 0.91 (95%CI: 0.88–0.93) for MRI respectively, while the pooled sensitivity, specificity, PLR, NLR, and AUC for CT were 1.00 (95%CI: 0.95–1.00), 0.99 (95%CI: 0.78–1.00), 79.35 (95%CI: 3.68–1711.06), 0.00 (95%CI: 0.00–0.06), and 1.00 (95%CI: 0.99–1.00), respectively. Further, we compared the diagnostic accuracy of CT versus MRI and found that compared with MRI, CT shows statistically higher sensitivity (odds ratio [OR] for MRI vs CT: 0.91; 95%CI: 0.85–0.98; P value .010), specificity (OR: 0.82; 95%CI: 0.69–0.97; P value .019), PLR (OR: 0.29; 95%CI: 0.10–0.83; P value 0.02), AUC (OR: 0.91; 95%CI: 0.89–0.94; P value < .001), and lower NLR (OR: 8.72; 95%CI: 1.57–48.56; P value .013).Conclusion:Our study suggested both CT and MRI have a high diagnostic accuracy in diagnosing pulmonary nodules, while CT was superior to MRI in sensitivity, specificity, PLR, NLR, and AUC, indicating that in terms of the currently available evidence, MRI could not replace CT in diagnosing pulmonary nodules.     

Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analysis

Aims/IntroductionRecently, an increasing number of cohort studies have suggested using machine learning (ML) to predict type 2 diabetes mellitus. However, its predictive ability remains inconclusive. This meta‐analysis evaluated the current ability of ML algorithms for predicting incident type 2 diabetes mellitus.Materials and MethodsWe systematically searched longitudinal studies published from 1 January 1950 to 17 May 2020 using MEDLINE and EMBASE. Included studies had to compare ML’s classification with the actual incidence of type 2 diabetes mellitus, and present data on the number of true positives, false positives, true negatives and false negatives. The dataset for these four values was pooled with a hierarchical summary receiver operating characteristic and a bivariate random effects model.ResultsThere were 12 eligible studies. The pooled sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were 0.81 (95% confidence interval [CI] 0.67–0.90), 0.82 [95% CI 0.74–0.88], 4.55 [95% CI 3.07–6.75] and 0.23 [95% CI 0.13–0.42], respectively. The area under the summarized receiver operating characteristic curve was 0.88 (95% CI 0.85–0.91).ConclusionsCurrent ML algorithms have sufficient ability to help clinicians determine whether individuals will develop type 2 diabetes mellitus in the future. However, persons should be cautious before changing their attitude toward future diabetes risk after learning the result of the diabetes prediction test using ML algorithms.