Accuracy of angiopoietin-2 for predicting organ failure in patients with acute pancreatitis: a systematic review and meta-analysis

Objective Our aim was to assess the accuracy of angiopoietin-2 (Ang-2) as a prognostic marker for acute pancreatitis (AP) with organ failure (OF). Methods We undertook a systematic search of the PubMed, Cochrane Library, Embase, Chinese Journals Full-text, Wanfang, China Biology Medicine disc, and Weipu databases to identify eligible cohort studies on the predictive value of Ang-2 for AP with OF. The main outcome measures were sensitivity and specificity. The effects were pooled using a bivariate mixed-effects model. Results Six articles with seven case-control studies (n = 650) were included. Pooled sensitivity, specificity, and positive and negative likelihood ratios with 95% confidence intervals (CI) for AP with OF were 0.93 (95%CI: 0.75–0.99), 0.85 (95%CI: 0.75–0.92), 6.40 (95%CI: 3.36–12.19), and 0.08 (95%CI: 0.02–0.36), respectively. The area under the summary receiver operating characteristic curve was 0.95 (95%CI: 0.92–0.96), and the diagnostic odds ratio was 83.18 (95%CI: 11.50–623.17). Subgroup analysis showed that admission time of AP onset (< or ≥24 hours) was a source of overall heterogeneity. Sensitivity analysis supported this finding. Conclusion Ang-2 had high diagnostic accuracy for AP with OF; the best prediction of Ang-2 may be 24 to 72 hours after onset of AP.

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Accuracy of Enzyme-Linked Immunosorbent Assays (ELISAs) in Detecting Antibodies againstMycobacterium lepraein Leprosy Patients: A Systematic Review and Meta-Analysis

Canadian Journal of Infectious Diseases and Medical Microbiology ◽

10.1155/2018/9828023 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 5

Author(s):

Omar Ariel Espinosa ◽

Silvana Margarida Benevides Ferreira ◽

Fabiana Gulin Longhi Palacio ◽

Denise da Costa Boamorte Cortela ◽

Eliane Ignotti

Keyword(s):

Diagnostic Accuracy ◽

Odds Ratio ◽

Meta Analysis ◽

Characteristic Curve ◽

Diagnostic Odds Ratio ◽

Cochrane Library ◽

Likelihood Ratios ◽

Summary Receiver Operating Characteristic ◽

Immunosorbent Assays ◽

Sensitivity Specificity

IgM againstMycobacterium lepraemay be detected by enzyme-linked immunosorbent assays (ELISAs) based on phenolic glycolipid I (PGL-I) or natural disaccharide octyl bovine serum albumin (ND-O-BSA) as antigens, and the IgG response can be detected by an ELISA based on lipid droplet protein 1 (LID-1). The titers of antibodies against these antigens vary with operational classification. The aim of this study was to compare the accuracy of ELISAs involving PGL-I and ND-O-BSA with that involving LID-1. We included studies that analyze multibacillary and paucibacillary leprosy cases and evaluate the diagnostic accuracy of ELISAs based on LID-1 and/or PGL-I or ND-O-BSA as antigens to measure antibody titers againstM. leprae. Studies were found via PubMed, the Virtual Health Library Regional Portal, Literatura Latino-Americana e do Caribe em Ciências da Saúde, Índice Bibliográfico Espanhol de Ciências de Saúde, the Brazilian Society of Dermatology, National Institute for Health and Clinical Excellence, Cochrane Library, Embase (the Elsevier database), and Cumulative Index to Nursing and Allied Health Literature. The Quality Assessment of Diagnostic Accuracy Studies served as a methodological validity tool. Quantitative data were extracted using the Standards for Reporting of Diagnostic Accuracy. Sensitivity, specificity, and a diagnostic odds ratio were calculated, and a hierarchical summary receiver-operating characteristic curve and forest plots were constructed. The protocol register code for this meta-analysis is PROSPERO 2017: CRD42017055983. Nineteen studies were included. ND-O-BSA showed better overall performance in terms of sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio when compared with PGL-I and LID-1. The multibacillary group showed better performance on these parameters (than the paucibacillary group did), at 94%, 99%, 129, 0.05, and 2293, respectively. LID-1 did not provide any advantage regarding the overall estimate of sensitivity in comparison with PGL-I or ND-O-BSA.

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Age-adjusted quick Sequential Organ Failure Assessment score for predicting mortality and disease severity in children with infection: a systematic review and meta-analysis

Scientific Reports ◽

10.1038/s41598-021-01271-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Sohyun Eun ◽

Haemin Kim ◽

Ha Yan Kim ◽

Myeongjee Lee ◽

Go Eun Bae ◽

...

Keyword(s):

Sequential Organ Failure Assessment ◽

Organ Failure ◽

Disease Severity ◽

Sensitivity And Specificity ◽

Meta Analysis ◽

Characteristic Curve ◽

Cochrane Library ◽

Summary Receiver Operating Characteristic ◽

Assessment Score ◽

Failure Assessment

AbstractWe assessed the diagnostic accuracy of the age-adjusted quick Sequential Organ Failure Assessment score (qSOFA) for predicting mortality and disease severity in pediatric patients with suspected or confirmed infection. We conducted a systematic search of PubMed, EMBASE, the Cochrane Library, and Web of Science. Eleven studies with a total of 172,569 patients were included in the meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio of the age-adjusted qSOFA for predicting mortality and disease severity were 0.69 (95% confidence interval [CI] 0.53–0.81), 0.71 (95% CI 0.36–0.91), and 6.57 (95% CI 4.46–9.67), respectively. The area under the summary receiver-operating characteristic curve was 0.733. The pooled sensitivity and specificity for predicting mortality were 0.73 (95% CI 0.66–0.79) and 0.63 (95% CI 0.21–0.92), respectively. The pooled sensitivity and specificity for predicting disease severity were 0.73 (95% CI 0.21–0.97) and 0.72 (95% CI 0.11–0.98), respectively. The performance of the age-adjusted qSOFA for predicting mortality and disease severity was better in emergency department patients than in intensive care unit patients. The age-adjusted qSOFA has moderate predictive power and can help in rapidly identifying at-risk children, but its utility may be limited by its insufficient sensitivity.

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Diagnostic value of RASSF1A methylation for breast cancer: a meta-analysis

Bioscience Reports ◽

10.1042/bsr20190923 ◽

2019 ◽

Vol 39 (6) ◽

Cited By ~ 4

Author(s):

Mingyi Li ◽

Chunpeng Wang ◽

Binbin Yu ◽

Xueyuan Zhang ◽

Fang Shi ◽

...

Keyword(s):

Breast Cancer ◽

Meta Analysis ◽

Characteristic Curve ◽

High Specificity ◽

Diagnostic Odds Ratio ◽

Diagnostic Value ◽

Cochrane Library ◽

Diagnostic Biomarker ◽

Summary Receiver Operating Characteristic ◽

Rassf1a Methylation

Abstract Background: Numerous studies reported that RAS-association domain family 1 isoform A (RASSF1A) methylation might act as diagnostic biomarker for breast cancer (BC), this meta-analysis aimed to evaluate the value of RASSF1A methylation for diagnosing BC. Methods: Such databases as PubMed, Cochrane Library and Web of Science databases were searched for literatures until May 2019. A meta-analysis was performed utilizing STATA and Revman softwares. Furthermore, subgroup analysis was adopted to determine likely sources of heterogeneity. Results: Totally 19 literatures with 1849 patients and 1542 controls were included in the present study. Sensitivity, specificity, diagnostic odds ratio (DOR) and the area under the summary receiver operating characteristic curve (AUC) of RASSF1A methylation for diagnosing BC were 0.49, 0.95, 19.0 and 0.83, respectively. The sensitivity (0.54 vs 0.43), DOR (30.0 vs 10.0) and AUC (0.84 vs 0.81) of RASSF1A methylation in Caucasian were higher than other ethnicities. The sensitivity (0.64 vs 0.57), DOR (21.0 vs 14.0) and AUC (0.89 vs 0.86) of methylation-specific PCR (MSP) were superior to other methods (q-MSP, OS-MSP and MethyLight). The sensitivity, DOR and AUC of serum RASSF1A methylation vs RASSF1A methylation in other samples (tissue or plasma) were 0.55 vs 0.40, 22.0 vs 14.0 and 0.86 vs 0.74, respectively. Conclusions: RASSF1A methylation might be a potential diagnostic biomarker for BC. Considering its low sensitivity and high specificity, it should combine with others to upgrade the sensitivity. Besides, under such conditions, MSP detection, serum RASSF1A methylation and Caucasian are shown to be more effective and suitable for diagnosing BC.

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Evaluation of the FilmArray Meningitis/Encephalitis Panel for Diagnosis of Infectious Meningitis and Encephalitis

10.21203/rs.3.rs-842209/v1 ◽

2021 ◽

Author(s):

Min Lin ◽

Chun-Lu Chen ◽

Le-Yao Qi ◽

Cong Shen ◽

Ye-Ling Liu ◽

...

Keyword(s):

Full Text ◽

Operating Characteristic ◽

Characteristic Curve ◽

Diagnostic Odds Ratio ◽

Cochrane Library ◽

Likelihood Ratios ◽

Summary Receiver Operating Characteristic ◽

Evaluation Standard ◽

Sensitivity Specificity

Abstract Background: Infectious Meningitis/Encephalitis (M/E) is caused by pathogens. The FilmArray M/E panel can quickly detect 14 kinds of pathogens and facilitate diagnosis for patients with M/E. This study aimed to perform a evaluation of the sensitivity and specificity of the FilmArray M/E panel compared with classic method of diagnosing M/E.Methods: Relevant studies published before August 15, 2021, were identified by searching Web of Science, PubMed, Cochrane Library, and Embase, using keywords Meningitis, Encephalitis, and FilmArray M/E panel. After the initial screening, EndNoteX9 was used to manage the studies and extract data. The quality of the study was based mainly on the quality evaluation standard of diagnostic tests recommended by Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Meta-DiSc 1.4 statistical software was used to determine the sensitivity, specificity, 95% confidence interval (CI), diagnostic odds ratio (DOR), positive likelihood ratios (PLR) and negative likelihood ratios (NLR) of each group of data, and summary receiver operating characteristic curve (SROC). All P values were two sided, and P <0.05 was considered statistically significant.Results: A total of 269 studies were retrieved, and 16 full-text studies were identified. The sensitivity of all the full-text studies was 0.93 (95% CI: 0.91–0.95) and the specificity 0.98 (95% CI: 0.98–0.98). Conclusions: Compared with the gold standard, the FilmArray M/E panel had a sensitivity of 0.93 and a specificity of 0.98 to 16 pathogens. Further studies are needed to determine whether the FilmArray M/E panel can be used as a clinical standard for the diagnosis of M/E.

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Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182111607 ◽

2021 ◽

Vol 18 (21) ◽

pp. 11607

Author(s):

Julián F. Calderón-García ◽

Raúl Roncero-Martín ◽

Sergio Rico-Martín ◽

Jorge M. De Nicolás-Jiménez ◽

Fidel López-Espuela ◽

...

Keyword(s):

Body Shape ◽

Meta Analysis ◽

Characteristic Curve ◽

Shape Index ◽

Diagnostic Odds Ratio ◽

The Body ◽

Adult Women ◽

Summary Receiver Operating Characteristic ◽

The Difference ◽

A Body Shape Index

Introduction: The body roundness index (BRI) and a body shape index (ABSI) are novel anthropometric indices established to determine both the amount visceral adipose tissue and body fat. Objective: to investigate whether BRI and ABSI are better predictors of hypertension than body mass index (BMI), waist circumference (WC) or waist-to-height ratio (WHtR). Methods: A systematic search was conducted in the Scopus, PubMed and Web of Science databases up until 31 December 2020. Results: The estimated pooled area under curve [AUC (95% CI)] for BRI [0.67 (0.65–0.70)] for the prediction of hypertension were superior to that of ABSI (0.58 (0.56–0.60)), similar to that of BMI [0.67 (0.64–0.69)], and lower than those WC [0.68 (0.66–0.70)] and WHtR [0.68 (0.66–0.71)]. Nevertheless, the difference of BRI compared to WC and WHtR in the context of predicting hypertension was non-significant. ABSI was significantly lower (p < 0.05) than BRI, BMI, WC and WHtR. Similar findings were observed with the summary receiver operating characteristic curve (AUC-SROC). There were no significant differences between subgroups according to type of population or diagnostic criteria of hypertension. The diagnostic odds ratio (dORs) proved that increased BRI and ABSI were related with an elevated hypertension risk. Conclusions: BRI and ABSI have discriminatory power for hypertension in adult women and men from different populations. Although, WHtR and WC provided the best performance when assessing hypertension, no significant differences were found for BRI. Finally, BRI was significantly better predictor of hypertension than ABSI.

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Assessment of Prophylactic Carbapenem Antibiotics Administration for Severe Acute Pancreatitis: An Updated Systematic Review and Meta-Analysis

Digestion ◽

10.1159/000520892 ◽

2022 ◽

pp. 1-9

Author(s):

Daxin Guo ◽

Wei Dai ◽

Jingyi Shen ◽

Mengting Zhang ◽

Yetan Shi ◽

...

Keyword(s):

Acute Pancreatitis ◽

Organ Failure ◽

Severe Acute Pancreatitis ◽

Pancreatic Pseudocyst ◽

Meta Analysis ◽

Fluid Collection ◽

Cochrane Library ◽

Intensive Care Unit Treatment ◽

Significant Difference ◽

And Control

Background: The effectiveness of prophylactic antibiotics in severe acute pancreatitis (SAP) remains a debatable issue. This meta-analysis aimed to determine the efficacy of prophylactic carbapenem antibiotics in SAP. Methods: This meta-analysis of prophylactic carbapenem antibiotics for SAP was conducted in PubMed, EMBASE, Web of Science, MEDLINE, and Cochrane Library up to February 2021. The related bibliographies were manually searched. The primary outcomes involved infected pancreatic or peripancreatic necrosis, mortality, complications, infections, and organ failure. Results: Seven articles comprised 5 randomized controlled trials and 2 retrospective observational studies, including 3,864 SAP participants. Prophylactic carbapenem antibiotics in SAP were associated with a statistically significant reduction in the incidence of infections (odds ratio [OR]: 0.27; p = 0.03) and complications (OR: 0.48; p = 0.009). Nevertheless, no statistically significant difference was demonstrated in the incidence of infected pancreatic or peripancreatic necrosis (OR: 0.74; p = 0.24), mortality (OR: 0.69; p = 0.17), extrapancreatic infection (OR: 0.64, p = 0.54), pulmonary infection (OR: 1.23; p = 0.69), blood infection (OR: 0.60; p = 0.35), urinary tract infection (OR: 0.97; p = 0.97), pancreatic pseudocyst (OR: 0.59; p = 0.28), fluid collection (OR: 0.91; p = 0.76), organ failure (OR: 0.63; p = 0.19), acute respiratory distress syndrome (OR: 0.80; p = 0.61), surgical intervention (OR: 0.97; p = 0.93), dialysis (OR: 2.34; p = 0.57), use of respirator or ventilator (OR: 1.90; p = 0.40), intensive care unit treatment (OR: 2.97; p = 0.18), and additional antibiotics (OR: 0.59; p = 0.28) between the experimental and control groups. Conclusions: It is not recommended to administer routine prophylactic carbapenem antibiotics in SAP.

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Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis

BioMed Research International ◽

10.1155/2020/9045786 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

Xuefeng Jiang ◽

Guijuan Zhang ◽

Jieyan Wu ◽

Shujun Lin ◽

Yusheng Liu ◽

...

Keyword(s):

Breast Cancer ◽

Long Noncoding Rna ◽

Noncoding Rna ◽

Meta Analysis ◽

Characteristic Curve ◽

Breast Cancer Diagnosis ◽

Predictive Biomarker ◽

Cochrane Library ◽

Summary Receiver Operating Characteristic ◽

Diagnostic Efficacy

Purpose. The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis. The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer. Methods. Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles. Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis. Stata and Meta-Disc software were used to conduct the meta-analysis. Results. 33 articles including 4500 cases were identified in our meta-analysis. lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively. The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues. In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. Conclusion. This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.

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DIAGNOSTIC VALUE OF ANTI-MÜLLERIAN HORMONE AS A BIOMARKER FOR POLYCYSTIC OVARY SYNDROME: A META-ANALYSIS UPDATE

Endocrine Practice ◽

10.4158/ep-2019-0098 ◽

2019 ◽

Vol 25 (10) ◽

pp. 1056-1066 ◽

Cited By ~ 2

Author(s):

Yang Zhao ◽

Yinlong Zhao ◽

Chunpeng Wang ◽

Zhenzhen Liang ◽

Xin Liu

Keyword(s):

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Meta Analysis ◽

Characteristic Curve ◽

Diagnostic Odds Ratio ◽

Summary Receiver Operating Characteristic ◽

Ovary Syndrome ◽

Diagnostic Efficacy ◽

Sensitivity Specificity ◽

Rotterdam Criteria

Objective: A previous meta-analysis carried out on the predictive ability of anti-Müllerian hormone (AMH) for polycystic ovary syndrome (PCOS) showed that independent AMH may be a useful initial diagnostic test for PCOS. The aims of this study were to update the meta-analysis and to evaluate the diagnostic efficacy of AMH when it replaces polycystic ovary morphology (PCOM) in the Rotterdam criteria. Methods: Two independent reviewers searched PubMed, Cochrane Library, and the Web of Science databases systematically to identify relevant articles by using the key words “anti-Müllerian hormone” and “polycystic ovary syndrome.” The deadline for manuscript inclusion was July 31, 2018. A random effects model was used and subgroup analysis and meta regression were performed to identify possible sources of heterogeneity. The methodologic quality of each study was assessed by QUADAS-2 and funnel plot asymmetry test. Results: According to the inclusion criteria, 29 studies were included in this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) for AMH alone detecting PCOS were 0.76 (95% confidence interval [CI] 0.71 to 0.81), 0.86 (95% CI 0.82 to 0.90) and 20 (95% CI 12 to 33), respectively. When AMH replaces polycystic ovary morphology (PCOM) for the diagnosis of PCOS, the pooled sensitivity, specificity, and DOR rose to 0.93 (95% CI 0.89 to 0.96), 0.99 (95% CI 0.95 to 1.00), and 1,634 (95% CI 217 to 12,324), respectively. The area under the summary receiver-operating characteristic curve for AMH alone and for AMH replacing PCOM detecting PCOS were 0.88 (95% CI 0.85 to 0.91) and 0.97 (95% CI 0.95 to 0.98), respectively, which was found to be significantly different ( Z = 4.89, P<.01). Conclusion: When AMH replaces PCOM in the Rotterdam criteria, the diagnostic efficacy for polycystic ovary syndrome is better. Abbreviations: AMH = anti-Müllerian hormone; AUC = area under the summary receiver operating characteristic curve; BMI = body mass index; CI = confidence interval; DOR = diagnostic odds ratio; HA = hyperandrogenism; IBC = Immunotech-Beckman Coulter; NLR = negative likelihood ratio; OA = oligo-anovulation; PCOM = polycystic ovary morphology; PCOS = polycystic ovary syndrome; PLR = positive likelihood ratio; QUADAS = the Quality Assessment of Diagnostic Accuracy Studies; SENS = sensitivity; SPEC = specificity

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Sensitivity and Specificity of Dickkopf-1 Protein in Serum for Diagnosing Hepatocellular Carcinoma: A Meta-Analysis

The International Journal of Biological Markers ◽

10.5301/jbm.5000101 ◽

2014 ◽

Vol 29 (4) ◽

pp. 403-410 ◽

Cited By ~ 8

Author(s):

Jie Zhang ◽

Ying Zhao ◽

Qin Yang

Keyword(s):

Hepatocellular Carcinoma ◽

Diagnostic Accuracy ◽

Test Performance ◽

Meta Analysis ◽

Diagnostic Odds Ratio ◽

Likelihood Ratios ◽

Summary Receiver Operating Characteristic ◽

Knowledge Infrastructure ◽

Combined Test ◽

Dickkopf 1

Objective This meta-analysis evaluated the diagnostic accuracy of positive serum Dickkopf-1 (DKK1) for diagnosing hepatocellular carcinoma (HCC). Material and methods Articles listed on Embase, PubMed, Wanfang, Weipu Periodical Database or the Chinese National Knowledge Infrastructure (CNKI) and published up to July 10, 2013, were searched in either English or Chinese. The pooled sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristic (sROC) curve were calculated to summarize the overall test performance. Results Four articles (6 studies) provided DKK1 diagnostic data. The pooled SEN, SPE, PLR, NLR, DOR and area under the sROC curve of DKK1 for the diagnosis of HCC were 0.65 (95% confidence interval [95% CI], 0.52-0.76), 0.94 (95% CI, 0.82-0.98), 10.1 (95% CI, 3.68-27.74), 0.38 (95% CI, 0.28-0.51), 26.90 (95% CI, 10.45-69.19) and 0.84 (95% CI, 0.81-0.87), respectively. Three articles (5 studies) provided DKK1 and α-fetoprotein (AFP) combined test data. The pooled SEN, SPE, PLR, NLR, DOR and area under the sROC curve of combined detection for the diagnosis of HCC were 0.81 (95% CI, 0.76-0.85), 0.85 (95% CI, 0.78-0.91), 5.52 (95% CI, 3.76-8.10), 0.22 (95% CI, 0.19-0.27), 24.60 (95% CI, 17.69-34.19) and 0.88 (95% CI, 0.85-0.91), respectively. Conclusion Both DKK1 and DKK1 plus AFP had high diagnostic accuracy for diagnosis of HCC.

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Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network

Cancers ◽

10.3390/cancers13215253 ◽

2021 ◽

Vol 13 (21) ◽

pp. 5253

Author(s):

Md. Mohaimenul Islam ◽

Tahmina Nasrin Poly ◽

Bruno Andreas Walther ◽

Ming-Chin Lin ◽

Yu-Chuan (Jack) Li

Keyword(s):

Gastric Cancer ◽

Likelihood Ratio ◽

Meta Analysis ◽

Characteristic Curve ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Work Load ◽

Diagnostic Odds Ratio ◽

Summary Receiver Operating Characteristic ◽

Sensitivity Specificity

Gastric cancer (GC) is one of the most newly diagnosed cancers and the fifth leading cause of death globally. Identification of early gastric cancer (EGC) can ensure quick treatment and reduce significant mortality. Therefore, we aimed to conduct a systematic review with a meta-analysis of current literature to evaluate the performance of the CNN model in detecting EGC. We conducted a systematic search in the online databases (e.g., PubMed, Embase, and Web of Science) for all relevant original studies on the subject of CNN in EGC published between January 1, 2010, and March 26, 2021. The Quality Assessment of Diagnostic Accuracy Studies-2 was used to assess the risk of bias. Pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were calculated. Moreover, a summary receiver operating characteristic curve (SROC) was plotted. Of the 171 studies retrieved, 15 studies met inclusion criteria. The application of the CNN model in the diagnosis of EGC achieved a SROC of 0.95, with corresponding sensitivity of 0.89 (0.88–0.89), and specificity of 0.89 (0.89–0.90). Pooled sensitivity and specificity for experts endoscopists were 0.77 (0.76–0.78), and 0.92 (0.91–0.93), respectively. However, the overall SROC for the CNN model and expert endoscopists was 0.95 and 0.90. The findings of this comprehensive study show that CNN model exhibited comparable performance to endoscopists in the diagnosis of EGC using digital endoscopy images. Given its scalability, the CNN model could enhance the performance of endoscopists to correctly stratify EGC patients and reduce work load.

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