scholarly journals Diagnosing anastomotic leak post-esophagectomy: a systematic review

2020 ◽  
Author(s):  
Antonio Barbaro ◽  
Thomas A Eldredge ◽  
Jonathan Shenfine
Keyword(s):  
Systematic Review ◽  
Anastomotic Leak ◽  
Predictive Value ◽  
Diagnostic Algorithm ◽  
Primary Concern ◽  
Oral Contrast ◽  
Contrast Imaging ◽  
Asymptomatic Patients ◽  
Sensitivity Specificity ◽  
Drain Amylase

SUMMARY Esophagectomy is the gold-standard treatment for esophageal cancer; however, postoperative anastomotic leakage remains the primary concern for surgeons. No consensus exists on the optimal investigations to predict an anastomotic leak. This systematic review aims to identify a single test or combination of tests with acceptable sensitivity and specificity to identify anastomotic leak after esophagectomy and to formulate a diagnostic algorithm to facilitate surgical decision-making. A systematic review of PubMed and EMBASE databases was undertaken to evaluate diagnostic investigations for anastomotic leak post-esophagectomy. Each study was reviewed and where possible, the sensitivity, specificity, positive predictive value, and negative predictive value were extracted. The review identified 3,204 articles, of which 49 met the inclusion criteria. Investigations most commonly used for diagnosis of anastomotic leak were: C-reactive protein (CRP), oral contrast imaging, computed tomography (CT), pleural drain amylase concentration, and the ‘NUn score’. The sensitivity of CRP for detecting anastomotic leak varied from 69.2% to 100%. Oral contrast studies sensitivities varied between 16% and 87.5% and specificity varied from 20% to 100%. Pleural drain amylase sensitivities ranged between 75% and 100% and specificity ranged from 52% to 95.5%. The NUn score sensitivities ranged from 0% to 95% and specificity from 49% to 94.4%. No single investigation was identified to rule out anastomotic leak in asymptomatic patients. However, the authors propose a diagnostic algorithm incorporating CRP, pleural drain amylase concentration, and CT with oral contrast to aid clinicians in predicting anastomotic leak to facilitate safe, timely discharge post-esophagectomy.

Incorporating diffusion-weighted imaging in a diagnostic algorithm for multiparametric MR mammography

2021 ◽  
pp. 028418512110418
Author(s):  
Katerina Vassiou ◽  
Michael Fanariotis ◽  
Ioannis Tsougos ◽  
Ioannis Fezoulidis
Keyword(s):  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Region Of Interest ◽  
Diagnostic Algorithm ◽  
Breast Lesions ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Single Formula ◽  
Sensitivity Specificity

Background Apparent diffusion coefficient (ADC) measurements are not incorporated in BI-RADS classification. Purpose To assess the probability of malignancy of breast lesions at magnetic resonance mammography (MRM) at 3 T, by combining ADC measurements with the BI-RADS score, in order to improve the specificity of MRM. Material and Methods A total of 296 biopsy-proven breast lesions were included in this prospective study. MRM was performed at 3 T, using a standard protocol with dynamic sequence (DCE-MRI) and an extra echo-planar diffusion-weighted sequence. A freehand region of interest was drawn inside the lesion, and ADC values were calculated. Each lesion was categorized according to the BI-RADS classification. Logistic regression analysis was employed to predict the probability of malignancy of a lesion. The model combined the BI-RADS classification and the ADC value. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were calculated. Results In total, 153 malignant and 143 benign lesions were analyzed; 257 lesions were masses and 39 lesions were non-mass-like enhancements. The sensitivity and specificity of the combined method were 96% and 86%, respectively, in contrast to 95% and 81% with BI-RADS classification alone. Conclusion We propose a method of assessing the probability of malignancy in breast lesions by combining BI-RADS score and ADC values into a single formula, increasing sensitivity and specificity compared to BI-RADS classification alone.

scholarly journals Utility of the methylated SEPT9 test for the early detection of colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy

2020 ◽  
Vol 7 (1) ◽  
pp. e000355 ◽  
Author(s):  
Rohit Hariharan ◽  
Mark Jenkins
Keyword(s):  
Colorectal Cancer ◽  
Systematic Review ◽  
Early Detection ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Meta Analysis ◽  
Test Accuracy ◽  
Sensitivity Specificity

BackgroundCirculating tumour DNA from colorectal cancer (CRC) is a biomarker for early detection of the disease and therefore potentially useful for screening. One such biomarker is the methylated SEPT9 (mSEPT9) gene, which occurs during CRC tumourigenesis. This systematic review and meta-analysis aims to establish the sensitivity, specificity and accuracy of mSEPT9 tests for the early diagnosis of CRC.MethodsA systematic search of the relevant literature was conducted using Medline and Embase databases. Data were extracted from the eligible studies and analysed to estimate pooled sensitivity, specificity and diagnostic test accuracy.ResultsBased on 19 studies, the pooled estimates (and 95% CIs) for mSEPT9 to detect CRC were: sensitivity 69% (62–75); specificity 92% (89–95); positive likelihood ratio 9.1 (6.1–13.8); negative likelihood ratio 0.34 (0.27–0.42); diagnostic OR 27 (15–48) and area under the curve 0.89 (0.86–0.91). The test has a positive predictive value of 2.6% and negative predictive value of 99.9% in an average risk population (0.3% CRC prevalence), and 9.5% (positive predictive value) and 99.6% (negative predictive value) in a high-risk population (1.2% CRC prevalence).ConclusionThe mSEPT9 test has high specificity and moderate sensitivity for CRC and is therefore a potential alternative screening method for those declining faecal immunochemical test for occult blood (FIT) or other screening modalities. However, it is limited by its poor diagnostic performance for precancerous lesions (advanced adenomas and polyps) and its relatively high costs, and little is known about its acceptability to those declining to use the FIT.

scholarly journals Detection of Clostridium difficile in Feces of Asymptomatic Patients Admitted to the Hospital

2016 ◽  
Vol 55 (2) ◽  
pp. 403-411 ◽  
Author(s):  
Elisabeth M. Terveer ◽  
Monique J. T. Crobach ◽  
Ingrid M. J. G. Sanders ◽  
Margreet C. Vos ◽  
Cees M. Verduin ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Predictive Value ◽  
Health Care Facilities ◽  
Nucleic Acid Amplification ◽  
Content Type ◽  
Asymptomatic Patients ◽  
Toxigenic Culture ◽  
Stool Samples ◽  
Sensitivity Specificity ◽  
Low Prevalence

ABSTRACTRecent evidence shows that patients asymptomatically colonized withClostridium difficilemay contribute to the transmission ofC. difficilein health care facilities. Additionally, these patients may have a higher risk of developingC. difficileinfection. The aim of this study was to compare a commercially available PCR directed to both toxin A and B (artusC. difficileQS-RGQ kit CE; Qiagen), an enzyme-linked fluorescent assay to glutamate dehydrogenase (GDH ELFA) (Vidas, bioMérieux), and an in-house-developed PCR totcdB, with (toxigenic) culture ofC. difficileas the gold standard to detect asymptomatic colonization. Test performances were evaluated in a collection of 765 stool samples obtained from asymptomatic patients at admission to the hospital. TheC. difficileprevalence in this collection was 5.1%, and 3.1% contained toxigenicC. difficile. Compared toC. difficileculture, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of theC. difficileGDH ELFA were 87.2%, 91.2%, 34.7%, and 99.3%, respectively. Compared with results of toxigenic culture, the sensitivity, specificity, PPV, and NPV of the commercially available PCR and the in-house PCR were 95.8%, 93.4%, 31.9%, 99.9%, and 87.5%, 98.8%, 70%, and 99.6%, respectively. We conclude that in a low-prevalence setting of asymptomatically colonized patients, both GDH ELFA and a nucleic acid amplification test can be applied as a first screening test, as they both display a high NPV. However, the low PPV of the tests hinders the use of these assays as stand-alone tests.

scholarly journals Anti-Toxoplasma IgG assays: What performances for what purpose? A systematic review

Parasite ◽  
2021 ◽  
Vol 28 ◽  
pp. 39
Author(s):  
Florence Robert-Gangneux ◽  
Hélène Guegan
Keyword(s):  
Systematic Review ◽  
Predictive Value ◽  
Opportunistic Infections ◽  
Evaluation Studies ◽  
Reference Method ◽  
Western Blot Assay ◽  
Patients At Risk ◽  
The Mean ◽  
Sensitivity Specificity ◽  
Rule Out

Chronic infection with Toxoplasma gondii is attested by the detection of specific anti-Toxoplasma IgG. A wide panel of serologic methods is currently marketed, and the most suitable method should be chosen according to the laboratory resources and the screened population. This systematic review of evaluation studies aimed at establishing an overview of the performances, i.e. sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of marketed anti-Toxoplasma IgG assays, and discussing their technical characteristics to guide further choice for routine diagnostic use. According to PRISMA guidelines, the search performed in PubMed and Web of Science databases recovered 826 studies, of which 17 were ultimately included. Twenty commercial anti-Toxoplasma IgG assays were evaluated, in comparison with an accepted reference method. Most of them were enzyme-immunoassays (EIAs, n = 12), followed by agglutination tests (n = 4), immunochromatographic tests (n = 3), and a Western-Blot assay (WB, n = 1). The mean sensitivity of IgG assays ranged from 89.7% to 100% for standard titers and from 13.4% to 99.2% for low IgG titers. A few studies pointed out the ability of some methods, especially WB to detect IgG early after primary infection. The specificity of IgG assays was generally high, ranging from 91.3% to 100%; and higher than 99% for most EIA assays. The PPV was not a discriminant indicator among methods, whereas significant disparities (87.5%–100%) were reported among NPVs, a key-parameter assessing the ability to definitively rule out a Toxoplasma infection in patients at-risk for opportunistic infections.

scholarly journals Causes of misdiagnoses by thyroid fine-needle aspiration cytology (FNAC): our experience and a systematic review

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Yanli Zhu ◽  
Yuntao Song ◽  
Guohui Xu ◽  
Zhihui Fan ◽  
Wenhao Ren
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
False Positive ◽  
False Negative ◽  
Diagnostic Errors ◽  
Published Data ◽  
Cystic Lesions ◽  
Adenomatous Hyperplasia ◽  
Sensitivity Specificity

Abstract Objective FNA is a simple, safe, cost-effective and accurate diagnostic tool for the initial screening of patients with thyroid nodules. The aims of this study were to determine the diagnostic utility of FNAC performed in our institution, assess the cytomorphologic features that contribute to diagnostic errors and propose improvement measures. Methods A total of 2781 FNACs were included in the study, and 1122 cases were compared with their histological diagnoses. We retrospectively reexamined our discordant (both false-negative and false-positive) cases and performed a systematic review of previous studies on causes of misdiagnoses. Results When DC V and DC VI were both considered cytologic-positive, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were 98.3, 30.9, 94.9, 58.3 and 93.5%, respectively. If DC VI was considered cytologic-positive, the sensitivity, specificity, PPV, NPV and diagnostic accuracy of FNAC were 98.0, 84.0, 99.4, 58.3, and 97.5% respectively. The main cause of false-negative diagnoses was sampling error (13/15, 86.7%), while interpretation error led to the majority of the false-positive diagnoses (38/47, 80.9%). Overlapping cytological features in adenomatous hyperplasia, thyroiditis and cystic lesions were the major factors contributing to interpretation errors, while the size and number of nodules may have led to false-negative diagnoses because of heterogeneity and unsampled areas. Conclusions The sensitivity and PPV of thyroid FNAC in our institution were higher than those in the published data, while the specificity and NPV were lower. Regarding the FNA category DC V, a frozen section analysis during diagnostic lobectomy is necessary. Multiple passes should be performed in various parts of a large nodule or from different nodules to reduce the risk of false-negative findings. Cytopathologists should strengthen their criteria for the identification of adenomatous hyperplasia, thyroiditis and cystic lesions to avoid false-positive diagnoses. NIFTP has little effect on diagnostic accuracy and the distribution of diagnostic errors.

P800Proposal of an algorithm for the diagnosis of hypertension by using out-of-office blood pressure measurements

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Y Rhee ◽  
J H Kim ◽  
J Namgung ◽  
S Y Lee ◽  
D K Cho ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Diagnostic Algorithm ◽  
Diagnostic Sensitivity ◽  
Masked Hypertension ◽  
Grey Zone ◽  
Validation Population ◽  
Sensitivity Specificity ◽  
Diagnosis Of Hypertension

Abstract Background and purpose Based on the data of patients who measured office BP (OBP) in controlled condition, home BP (HBP), and 24-hour ambulatory BP (24hABP) for diagnosis of hypertension, we developed and validated a diagnostic algorithm for hypertension. Methods Patients who have high BP (≥140/90 mmHg) at the outpatient clinic were referred to measure OBP in controlled condition, HBP and 24hABP. The OBP was measured three times at each visit for 3 days in controlled condition by using a validated oscillometric device. HBP was measured for 7 days in triplicates every morning and evening. The 24hABP was measured on the 8th day. Same study protocol was used for development and validation population. Results In the development of algorithm, 319 patients were recruited and data of 256 patients (51.8±9.7 years, 119 men) with valid HBP and 24hABP measurements were analyzed. In the validation of algorithm, 300 patients were recruited and data of 257 patients (52.4±9.8 years, 126 men) with valid HBP and 24hABP measurements were analyzed. In the development population, the prevalence of masked hypertension was 19.5% (n=50) and most of them (n=47, 94%) was in the range of 130–139/80–89 mmHg. The BP in the range of 130–144/80–94 mmHg was defined as the grey zone of OBP, because prevalence of white-coat hypertension was lowered to 1.6% from 4.3% with threshold of 145/95 mmHg. The diagnostic sensitivity, specificity, positive and negative predictive value of OBP was improved to 97.4%, 76.5, 96.5% and 81.3% after excluding the grey zone of OBP (n=125). The diagnostic agreement between 24hABP and HBP in the grey zone of OBP was 64%. The diagnostic sensitivity, specificity, positive and negative predictive value of HBP were 88.8%, 74.7, 93.5% and 61.5% after excluding the grey zone of HBP (130–134/80–84 mmHg, n=28). Based upon these results, we developed a diagnostic algorithm for hypertension by using on out-of-office BP measurements to improved diagnostic accuracy of hypertension (Figure). In the validation population, the developed algorithm showed similar diagnostic accuracy. Diagnostic algorithm for hypertension Conclusion For accurate diagnosis of hypertension, OBP measurement according to guidelines and 24hABP measurement to grey zone of OBP is preferred. To improve diagnostic accuracy of HBP measurement, 24hABP measurement to grey zone of HBP is required. Acknowledgement/Funding Part of this study was supported by a grand from Dong-A ST Co. Ltd., Seoul, Korea.

scholarly journals Diagnostic Accuracy of Antibody-based Rapid Diagnostic Test in Detecting Coronavirus Disease 2019: Systematic Review

2021 ◽  
Author(s):  
Yanto Tjang ◽  
Tiara Gracienta ◽  
Ryan Herardi ◽  
Frans Santosa ◽  
Taufiq Pasiak
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Diagnostic Test ◽  
Rapid Diagnostic Test ◽  
Predictive Value ◽  
Detection Method ◽  
Target Antigen ◽  
Test Accuracy ◽  
Eligibility Criteria ◽  
Sensitivity Specificity

IntroductionThe rapid transmission of Coronavirus disease 2019 (COVID-19) requires a fast, accurate, and affordable detection method. Despite doubts of its diagnostic accuracy, Rapid Diagnostic Test (RDT) is world-widely used in consideration for its practicality. This systematic review aims to determine the diagnostic accuracy of antibody-based RDT in detecting COVID-19.Material and methodsA literature search was carried out on five journal databases using the PRISMA-P 2015 method. We included all studies published up to February 2021. The risk of bias was evaluated using The Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Diagnostic Test Accuracy Studies. Data regarding peer-review status, study design, tests kit information, immunoglobulin class, target antigen, and the number of samples were extracted and tabulated. We estimated the pooled sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with a 95% confidence interval.ResultsThirty-three studies met the eligibility criteria. The pooled data results showed that the combined detection method of IgM or IgG had the highest sensitivity and NPV, which were 73.41% (95% CI: 72.22-74.57) and 75.34% (95% CI: 74.51-76.16), respectively. The single IgG detection method had the highest specificity and PPV of 96.68% (95% CI: 96.25-97.07) and 95.97% (95% CI: 95.47-96.42%), respectively.ConclusionsAntibody-based RDT is not satisfactory as a primary diagnostic test but has utilities as a screening tool.

Duplex criteria for determining ≥50% and ≥80% internal carotid artery stenosis following carotid endarterectomy with patch angioplasty

Vascular ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Ali F AbuRahma
Keyword(s):  
Carotid Artery ◽  
Internal Carotid Artery ◽  
Carotid Endarterectomy ◽  
Predictive Value ◽  
Internal Carotid ◽  
Internal Carotid Artery Stenosis ◽  
Optimal Velocity ◽  
Diastolic Velocity ◽  
Asymptomatic Patients ◽  
Sensitivity Specificity

The purpose of this study was to determine optimal velocities for detecting ≥50% and ≥80% restenosis prior to considering carotid intervention/carotid artery stenting (CAS) after carotid endarterectomy (CEA) with patching in symptomatic and asymptomatic patients. Two hundred CEA patients with 195 pairs of imaging (duplex ultrasound versus computed tomography angiography [CTA]/carotid arteriography) were analyzed. Peak systolic velocities (PSVs), end diastolic velocity (EDV) and internal carotid artery/common carotid artery (ICA/CCA) ratios were correlated to angiography. Receiver operator characteristic (ROC) curves determined optimal velocity criteria in detecting ≥50% and ≥80% restenosis. The mean PSVs for ≥50% and ≥80% restenosis were 248 and 404 c/s, respectively ( P < 0.001). A PSV of ≥213 c/s was optimal for ≥50% restenosis with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and overall accuracy (OA) of 99%, 100%, 100%, 98% and 99%, respectively. An ICA PSV of 274 c/s was optimal for ≥80% restenosis with sensitivity, specificity, PPV, NPV and OA of 100%, 91%, 99%, 100% and 99%, respectively. ROC analysis showed that PSVs were significantly better than EDVs and ICA/CCA ratios in detecting ≥50% restenosis. Standard duplex velocity criteria should be revised after CEA using patching. Specific carotid duplex velocities can be used to detect ≥50% and ≥80% restenosis after CEA with patch closure prior to carotid intervention/CAS.

scholarly journals Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy

2019 ◽  
Author(s):  
Glenn-Milo Santos ◽  
Steffanie Strathdee ◽  
Nabila El-Bassel ◽  
Poonam Patel ◽  
Divya Subramanian ◽  
...  
Keyword(s):  
Systematic Review ◽  
Substance Use ◽  
Positive Predictive Value ◽  
Psychometric Properties ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Meta Analysis ◽  
The United States ◽  
Test Accuracy ◽  
Sensitivity Specificity

Abstract Background Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometric properties of measures to detect substance use and misuse. Methods We conducted a systematic review and meta-analysis of literature on measures of substance classes associated with HIV risk (heroin, methamphetamine, cocaine, ecstasy, alcohol) that were published in English before June 2016 that reported at least one of the following psychometric outcomes of interest: internal consistency (alpha), test-retest/inter-rater reliability (kappa), sensitivity, specificity, positive predictive value, and negative predictive value. We used meta-analytic techniques to generate pooled summary estimates for these outcomes using random effects and hierarchical logistic regression models. Results Findings across 387 paper revealed that overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent. Conclusion We conclude that many substance use measures had pooled summary estimates that were at the fair/moderate-to-excellent range across different psychometric outcomes. Most scales were conducted in English, within the United States, highlighting the need to test and validate these measures in more diverse settings. Additionally, the majority of studies had high risk of bias, indicating a need for more studies with higher methodological quality.

Accuracy of Focused Assessment with Sonography for Trauma (FAST) in Disaster Settings: A Meta-Analysis and Systematic Review

2019 ◽  
Vol 13 (5-6) ◽  
pp. 1059-1064
Author(s):  
Christine Lee ◽  
Daniel Balk ◽  
Jesse Schafer ◽  
Jeremy Welwarth ◽  
John Hardin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Predictive Value ◽  
Medical Records ◽  
Meta Analysis ◽  
Mass Casualty ◽  
Review Of Literature ◽  
Imaging Tool ◽  
Search Terms ◽  
Operative Findings ◽  
Sensitivity Specificity

ABSTRACTFocused assessment with sonography for trauma (FAST) has been incorporated into the initial evaluation of trauma for decades. It is an important screening tool in the detection of intra-abdominal fluid. The objective of this study was to perform a systematic review of the use and accuracy of FAST as an imaging tool for blunt abdominal trauma in disaster/mass casualty settings. A systematic review of literature was conducted using key words and search terms. Two independent reviewers screened abstracts to determine inclusion using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS). For studies passing QUADAS, a meta-analysis was performed calculating sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). FAST results were compared with the gold standard, which was a combination of CT scan results, operative findings, and medical records of the clinical course. Initial database screening resulted in 133 articles, of which 21 were selected for QUADAS evaluation. Five studies passed QUADAS and were selected in the final meta-analysis, with a total of 4263 patients. The sensitivity of FAST was 92.1% (87.8–95.6), specificity 98.7% (96.0–99.9), PPV 90.7% (70.0–98.0), and NPV 98.8% (98.1–99.5) for the detection of intra-abdominal injury. In our meta-analysis, FAST was both sensitive and specific in the evaluation of trauma in the disaster setting.

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