Gastric cancer detection using the serum pepsinogen test method

Background: Gastric cancer (GC) is the eighth most common cause of cancer deaths in Croatia and one of the most common causes of cancer deaths worldwide. A reliable diagnostic tool for the early detection of GC is essential. Objective: We previously suggested a pepsinogen test method to reduce the mortality from GC by allowing early detection. Here, we report an updated analysis from a prospective single-center clinical study to evaluate the sensitivity and specificity of the pepsinogen test method and to determine whether this test can be used as a part of routine laboratory assessment of high-risk patients. Methods: We present mature data of the pepsinogen test method in the Croatian population after a median follow-up of 36 months. Statistical analyses were performed using a Mann-Whitney U test, multiple logistic regression, and receiver operating characteristics (ROC) to evaluate the predictive power of the assayed biomarkers. Results: Of the 116 patients, 25 patients had GC and 91 demonstrated a nonmalignant pathology based on tissue biopsy. Cutoff values were pepsinogen I ⩽70 and pepsinogen I/II ratio ⩽3.0. Using ROC curve analysis, the accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were determined to be 87.22%, 78.12%, 90.10%, 71.43%, and 92.86%, respectively, for the diagnosis of GC. The area under the curve was 0.700 (95% confidence interval 0.57–0.83). Conclusion: Pepsinogen tests are valuable for screening a population in need of further diagnosis and could help to avoid unnecessary invasive endoscopic procedures.

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Final results of early non-invasive gastric cancer detection study using the serum pepsinogen test method in Croatian patients.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.15_suppl.e15551 ◽

2019 ◽

Vol 37 (15_suppl) ◽

pp. e15551-e15551

Author(s):

Dragan Trivanovic ◽

Stjepko Plestina ◽

Lorena Honovic ◽

Renata Dobrilla-Dintinjana ◽

Jelena Vlasic Tanaskovic

Keyword(s):

Gastric Cancer ◽

Atrophic Gastritis ◽

Cancer Detection ◽

Predictive Value ◽

Performance Status ◽

Test Method ◽

Operating Characteristics ◽

Roc Curve Analysis ◽

Ecog Performance Status ◽

Screening Programs

e15551 Background: Gastric cancer (GC) is the 8th most common cancer cause of cancer deaths in Croatia and 2nd most common cause of cancer deaths worldwide. GC of the intestinal type is usually preceded by a chronic atrophic gastritis which is a precancerous change in the stomach. Methods: A reliable diagnostic tool for the early detection of the GC is essential. Screening programs have led to an improvement of overall 5-y survival rate for GC in Japan and Pepsinogen test method was suggested to reduce mortality from gastric cancer. The gold standard for the diagnosis of GC is the pathohistological study of biopsies obtained during an upper GI endoscopy, an invasive method that is too complicated for use in population screening and patients with comorbidity. We have conducted a prospective single center clinical study over a period of > 2 years to evaluate sensitivity and specificity of reagents, and to determine if these reagents can be part of routine. Inclusion criteria for the study were: signed informed consent, life expectancy > 12, and exclusion criteria were: previous treatments for any malignancy, current usage of IPP or NSAIDs medication, poor ECOG performance status ≥3, known history of H. pylori eradication treatment or gastric surgery. We previously reported preliminary results of PG test method in Croatian population. Here, we present mature data after median follow-up of 26 months. Statistical analyses were performed by using a Mann-Whitney U test, multiple logistic regression and the receiver operating characteristics (ROC) to evaluate the predictive power of biomarkers. Results: Blood samples have been collected from patients with suspicious to GC attending for endoscopy or surgery. We used cut off points to evaluate gastric cancer risk: PGI ≤ 70 and PGI/II ratio ≤ 3.0. Of the 116 patients, 25 patients had GC and 91 had non-malignant pathology on tissue biopsy (like atrophic gastritis). Based on an optimal cut-off value calculated by ROC curve analysis had accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 86.2%, 60.0%, 93.4%, 65.2%and 89.47%, respectively, for the diagnosis of GC. AUC was 0.767 (95% CI 64.0-89.0). Conclusions: The single use of pepsinogen tests is not sufficient for stomach cancer detection; however, it provides a valuable test for selecting a population that needs further diagnosing. Meanwhile, its high specificity could also help to avoid unnecessary endoscopy, especially in older population or patients with heavy burden of comorbidity. Clinical trial information: 2016-0019-34.

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New screening approach to detecting congenital syphilis in China: a retrospective cohort study

Archives of Disease in Childhood ◽

10.1136/archdischild-2020-320549 ◽

2020 ◽

pp. archdischild-2020-320549

Author(s):

Fang Hu ◽

Shuai-Jun Guo ◽

Jian-Jun Lu ◽

Ning-Xuan Hua ◽

Yan-Yan Song ◽

...

Keyword(s):

Predictive Value ◽

Congenital Syphilis ◽

Area Under The Curve ◽

Diagnostic Tools ◽

Operating Characteristics ◽

Loss To Follow Up ◽

Sensitivity Specificity ◽

Mother To Child ◽

Rule Out

BackgroundDiagnosis of congenital syphilis (CS) is not straightforward and can be challenging. This study aimed to evaluate the validity of an algorithm using timing of maternal antisyphilis treatment and titres of non-treponemal antibody as predictors of CS.MethodsConfirmed CS cases and those where CS was excluded were obtained from the Guangzhou Prevention of Mother-to-Child Transmission of syphilis programme between 2011 and 2019. We calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) using receiver operating characteristics (ROC) in two situations: (1) receiving antisyphilis treatment or no-treatment during pregnancy and (2) initiating treatment before 28 gestational weeks (GWs), initiating after 28 GWs or receiving no treatment for syphilis seropositive women.ResultsAmong 1558 syphilis-exposed children, 39 had confirmed CS. Area under the curve, sensitivity and specificity of maternal non-treponemal titres before treatment and treatment during pregnancy were 0.80, 76.9%, 78.7% and 0.79, 69.2%, 88.7%, respectively, for children with CS. For the algorithm, ROC results showed that PPV and NPV for predicting CS were 37.3% and 96.4% (non-treponemal titres cut-off value 1:8 and no antisyphilis treatment), 9.4% and 100% (non-treponemal titres cut-off value 1:16 and treatment after 28 GWs), 4.2% and 99.5% (non-treponemal titres cut-off value 1:32 and treatment before 28 GWs), respectively.ConclusionsAn algorithm using maternal non-treponemal titres and timing of treatment during pregnancy could be an effective strategy to diagnose or rule out CS, especially when the rate of loss to follow-up is high or there are no straightforward diagnostic tools.

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The role of red cell distribution width in the differential diagnosis of iron deficiency anemia and non-transfusion dependent thalassemia patients

Hematology Reports ◽

10.4081/hr.2018.7605 ◽

2018 ◽

Vol 10 (3) ◽

Cited By ~ 3

Author(s):

Pokpong Piriyakhuntorn ◽

Adisak Tantiworawit ◽

Thanawat Rattanathammethee ◽

Chatree Chai-Adisaksopha ◽

Ekarat Rattarittamrong ◽

...

Keyword(s):

Diagnostic Accuracy ◽

Predictive Value ◽

Area Under The Curve ◽

Microcytic Anemia ◽

Deficiency Anemia ◽

Operating Characteristics ◽

Training Set ◽

Distribution Width ◽

Validation Set ◽

Sensitivity Specificity

This study aims to find the cut-off value and diagnostic accuracy of the use of RDW as initial investigation in enabling the differentiation between IDA and NTDT patients. Patients with microcytic anemia were enrolled in the training set and used to plot a receiving operating characteristics (ROC) curve to obtain the cut-off value of RDW. A second set of patients were included in the validation set and used to analyze the diagnostic accuracy. We recruited 94 IDA and 64 NTDT patients into the training set. The area under the curve of the ROC in the training set was 0.803. The best cut-off value of RDW in the diagnosis of NTDT was 21.0% with a sensitivity and specificity of 81.3% and 55.3% respectively. In the validation set, there were 34 IDA and 58 NTDT patients using the cut-off value of >21.0% to validate. The sensitivity, specificity, positive predictive value and negative predictive value were 84.5%, 70.6%, 83.1% and 72.7% respectively. We can therefore conclude that RDW >21.0% is useful in differentiating between IDA and NTDT patients with high diagnostic accuracy

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SERUM PEPSINOGEN I LEVELS IN GASTRIC CANCER

Journal of Medicine and Pharmacy ◽

10.34071/jmp.2013.2.6 ◽

2013 ◽

pp. 43-49

Author(s):

Thi Minh Tam Phan ◽

Thi Thu Huong Hoang ◽

Anh Tuyen Nguyen ◽

Thi Phuong Anh Le ◽

Nguyen Tuong Van Ha

Keyword(s):

Gastric Cancer ◽

Predictive Value ◽

Area Under The Curve ◽

Control Group ◽

Serum Pepsinogen ◽

Pepsinogen I ◽

Cancer Group ◽

And Control ◽

Group Serum ◽

Gastric Cancer Group

Objective: Identification of serum Pepsinogen I levels in gastric cancer. Materials and Methods: Serum pepsinogen I levels was measured by enzym-linked immunosorbent assay (ELISA) on 32 patients in the gastric cancer group diagnosed by endoscopy and histology and control group of 30 patients with functional dyspepsia on endoscopy Using the cut-off value: PGI ≤ 70 ng/ml for gastric cancer. Results: Median Pepsinogen I levels in gastric cancer group was 41.07 ng / ml (25% quartile: 27.83 ng / ml, 75% quartile: 61.57 ng/ml) was significantly lower in control group: 102.03 ng / ml (25% quartile: 57.63 ng / ml, 75% quartile: 129.32 ng/ml) (p<0.001). The rate of Serum Pepsinogen I (≤ 70 ng/ml) was 78.1% in patients with gastric cancer, was 26.7% in the control group. Serum Pepsinogen I test in cut-off value ≤ 70 ng/ml had a sensitivity of 78.1%, specificity 73.3%, positive predictive value of 75.8% and the predictive value negative of 75.9% (p <0.001). The results of the ROC curve: area under the curve = 0.846,p <0.0001 at the cut-of of Pepsinogen I levels in our study ≤ 50.83 ng/ml with the optimal sensitivity and specificity were 65.6% and 86.7%. Key words: serum Pepsinogen I, gastric cancer

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UJI DIAGNOSTIK NT pro NATRIURETIC PEPTIDE (NTpro BNP) GAGAL JANTUNG KONGESTIF

INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY ◽

10.24293/ijcpml.v18i1.360 ◽

2016 ◽

Vol 18 (1) ◽

pp. 48

Author(s):

Dewi Indah Noviana Pratiwi ◽

Suwarso Suwarso ◽

Osman Sianipar

Keyword(s):

Heart Failure ◽

Congestive Heart Failure ◽

Negative Predictive Value ◽

Natriuretic Peptide ◽

Predictive Value ◽

Clinical Performance ◽

Operating Characteristics ◽

Likelihood Ratios ◽

Roc Curve Analysis ◽

Sensitivity Specificity

Congestive Heart Failure (CHF) is a syndrome associated with disturbances of heart structure and function, as a result of various cardiovascular diseases. These disturbances decrease ventricle ability to pump or fill blood in physiological pressure, which causes limitation on the ability to excercise or daily activities without dyspnea and fatigue.Early diagnosis is important to initiate prompt treatment that can prevent further disease development. To measure heart hormone in this case, NT pro Natriuretic Peptide (NT pro BNP) can be use as a more ideal examination for early detection of CHF. The aim of this study is to investigate the clinical performance of NT pro BNP and assess the cut-off point 125 pg/mL compared to clinic (Framingham criteria) and or echocardiogram in the diagnosis CHF.The diagnostic test was carried out using clinical (Framingham criteria) and or echocardiography as reference methods. The subject of this research was patients with cardiac and blood vessel disorders complaints at risk of developing congestive heart failure, who came to the Emergency Department at Dr. Sardjito Hospital Yogyakarta, supported by clinical data, radiology, other laboratory test, electrocardiography and echocardiography. The diagnosis of CHF was obtained by conducting investigation toward echocardiography examination reading in patient’s medical record. Receiver Operating Characteristics (ROC) curve analysis was conducted using SPSS 13.0 program. Sensitivity, specificity, positive and negative predictive value, accuracy and likelihood ratios were measured with 2x2 table by CAT marker program. Forty-six of fifty-seven specimens were from congestive heart failure (CHF). At 125 pg/mL as a cut-off point, regardless the interval between the onset of the symptoms and taking of blood samples, the sensitivity, specificity, positive and negative predictive value and diagnostic accuracy are 96%, 36%, 86%, 67%, 84% respectively. Likelihood ratios for positive and negative results are 1.50 and 0.12. NT pro BNP measuring is expected to give more benefit than the conventional signal, so that an early diagnosis can be achieved accurately in a timely manner.

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May Antitransglutaminase Levels Predict Severity of Duodenal Lesions in Adults with Celiac Disease?

Medicina ◽

10.3390/medicina57111212 ◽

2021 ◽

Vol 57 (11) ◽

pp. 1212

Author(s):

Giuseppe Losurdo ◽

Milena Di Leo ◽

Edoardo Santamato ◽

Antonio Giangaspero ◽

Maria Rendina ◽

...

Keyword(s):

Celiac Disease ◽

Diagnostic Performance ◽

Villous Atrophy ◽

Area Under The Curve ◽

Curve Analysis ◽

Operating Characteristics ◽

Roc Curve Analysis ◽

Upper Limit ◽

Duodenal Lesions ◽

Sensitivity Specificity

Background and Objective: Pediatric guidelines on celiac disease (CD) state that children with anti-transglutaminase antibodies (TGAs) >×10 upper limit of normal (ULN) may avoid endoscopy and biopsy. We aimed to evaluate whether these criteria may be suitable for villous atrophy diagnosis in CD adults. Materials and Methods: We retrospectively enrolled patients with CD aged >18 years. TGAs were expressed as xULN. Duodenal lesions were classified as atrophic or non-atrophic according to Marsh-Oberhuber. Fisher’s exact and t-test were used for variables comparison. Receiver operating characteristics (ROC) curve analysis was performed with estimation of area under the curve (AUC), sensitivity, specificity, and positive and negative predictive value (PPV/NPV). Results: One hundred and twenty-one patients were recruited. Sixty patients (49.6%) had TGA >×10 ULN, and 93 (76.8%) had villous atrophy. The cut-off of >×10 ULN had sensitivity = 53.7%, specificity = 64.3%, PPV = 83.3%, and NPV = 29.5% to predict atrophy. Therefore, considering pediatric criteria, in 50 (41.3%) patients, biopsy could have been avoided. Patient subgroup with atrophy had higher TGA levels despite being not significant (37.2 ± 15.3 vs. 8.0 ± 1.3 ULN, p = 0.06). In adults, a slightly better diagnostic performance was obtained using a cut-off of TGA >×6.2 ULN (sensitivity = 57.1%, specificity = 65.6%, and AUC = 0.62). Conclusions: Despite our confirmation that villous atrophy is linked to high TGA levels, CD and atrophy diagnosis based only on serology is not reliable in adults.

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First trimester prediction of maternal glycemic status

Journal of Perinatal Medicine ◽

10.1515/jpm-2014-0149 ◽

2015 ◽

Vol 43 (3) ◽

Cited By ~ 8

Author(s):

Rinat Gabbay-Benziv ◽

Lauren E. Doyle ◽

Miriam Blitzer ◽

Ahmet A. Baschat

Keyword(s):

Risk Score ◽

Predictive Value ◽

Challenge Test ◽

Area Under The Curve ◽

First Trimester ◽

Tolerance Test ◽

Oral Glucose ◽

Operating Characteristics ◽

Maternal Characteristics ◽

Predictive Algorithm

AbstractTo predict gestational diabetes mellitus (GDM) or normoglycemic status using first trimester maternal characteristics.We used data from a prospective cohort study. First trimester maternal characteristics were compared between women with and without GDM. Association of these variables with sugar values at glucose challenge test (GCT) and subsequent GDM was tested to identify key parameters. A predictive algorithm for GDM was developed and receiver operating characteristics (ROC) statistics was used to derive the optimal risk score. We defined normoglycemic state, when GCT and all four sugar values at oral glucose tolerance test, whenever obtained, were normal. Using same statistical approach, we developed an algorithm to predict the normoglycemic state.Maternal age, race, prior GDM, first trimester BMI, and systolic blood pressure (SBP) were all significantly associated with GDM. Age, BMI, and SBP were also associated with GCT values. The logistic regression analysis constructed equation and the calculated risk score yielded sensitivity, specificity, positive predictive value, and negative predictive value of 85%, 62%, 13.8%, and 98.3% for a cut-off value of 0.042, respectively (ROC-AUC – area under the curve 0.819, CI – confidence interval 0.769–0.868). The model constructed for normoglycemia prediction demonstrated lower performance (ROC-AUC 0.707, CI 0.668–0.746).GDM prediction can be achieved during the first trimester encounter by integration of maternal characteristics and basic measurements while normoglycemic status prediction is less effective.

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Value and Diagnostic Efficacy of Fetal Morphology Assessment Using Ultrasound in A Poor-Resource Setting

Diagnostics ◽

10.3390/diagnostics9030109 ◽

2019 ◽

Vol 9 (3) ◽

pp. 109 ◽

Cited By ~ 1

Author(s):

Ukweh ◽

Ugbem ◽

Okeke ◽

Ekpo

Keyword(s):

Predictive Value ◽

Performance Metrics ◽

Area Under The Curve ◽

Youden Index ◽

Likelihood Ratios ◽

Diagnostic Efficacy ◽

Predictive Values ◽

Resource Setting ◽

Post Test ◽

Sensitivity Specificity

Background: Ultrasound is operator-dependent, and its value and efficacy in fetal morphology assessment in a low-resource setting is poorly understood. We assessed the value and efficacy of fetal morphology ultrasound assessment in a Nigerian setting. Materials and Methods: We surveyed fetal morphology ultrasound performed across five facilities and followed-up each fetus to ascertain the outcome. Fetuses were surveyed in the second trimester (18th–22nd weeks) using the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) guideline. Clinical and surgical reports were used as references to assess the diagnostic efficacy of ultrasound in livebirths, and autopsy reports to confirm anomalies in terminated pregnancies, spontaneous abortions, intrauterine fetal deaths, and still births. We calculated sensitivity, specificity, positive and negative predictive values, Area under the curve (AUC), Youden index, likelihood ratios, and post-test probabilities. Results: In total, 6520 fetuses of women aged 15–46 years (mean = 31.7 years) were surveyed. The overall sensitivity, specificity, and AUC were 77.1 (95% CI: 68–84.6), 99.5 (95% CI: 99.3–99.7), and 88.3 (95% CI: 83.7–92.2), respectively. Other performance metrics were: positive predictive value, 72.4 (95% CI: 64.7–79.0), negative predictive value, 99.6 (95% CI: 99.5–99.7), and Youden index (77.1%). Abnormality prevalence was 1.67% (95% CI: 1.37–2.01), and the positive and negative likelihood ratios were 254 (95% CI: 107.7–221.4) and 0.23 (95% CI: 0.16–0.33), respectively. The post-test probability for positive test was 72% (95% CI: 65–79). Conclusion: Fetal morphology assessment is valuable in a poor economics setting, however, the variation in the diagnostic efficacy across facilities and the limitations associated with the detection of circulatory system anomalies need to be addressed.

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Identification of the most specific markers to differentiate primary pulmonary carcinoma from metastatic gastrointestinal carcinoma to the lung

Diagnostic Pathology ◽

10.1186/s13000-021-01184-2 ◽

2022 ◽

Vol 17 (1) ◽

Author(s):

Bachar Alabdullah ◽

Amir Hadji-Ashrafy

Keyword(s):

Gastrointestinal Tract ◽

Predictive Value ◽

Regression Models ◽

Area Under The Curve ◽

Roc Curves ◽

Multivariate Models ◽

Gastrointestinal Carcinoma ◽

Lung Tumours ◽

Napsin A ◽

Sensitivity Specificity

Abstract Background A number of biomarkers have the potential of differentiating between primary lung tumours and secondary lung tumours from the gastrointestinal tract, however, a standardised panel for that purpose does not exist yet. We aimed to identify the smallest panel that is most sensitive and specific at differentiating between primary lung tumours and secondary lung tumours from the gastrointestinal tract. Methods A total of 170 samples were collected, including 140 primary and 30 non-primary lung tumours and staining for CK7, Napsin-A, TTF1, CK20, CDX2, and SATB2 was performed via tissue microarray. The data was then analysed using univariate regression models and a combination of multivariate regression models and Receiver Operating Characteristic (ROC) curves. Results Univariate regression models confirmed the 6 biomarkers’ ability to independently predict the primary outcome (p < 0.001). Multivariate models of 2-biomarker combinations identified 11 combinations with statistically significant odds ratios (ORs) (p < 0.05), of which TTF1/CDX2 had the highest area under the curve (AUC) (0.983, 0.960–1.000 95% CI). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 75.7, 100, 100, and 37.5% respectively. Multivariate models of 3-biomarker combinations identified 4 combinations with statistically significant ORs (p < 0.05), of which CK7/CK20/SATB2 had the highest AUC (0.965, 0.930–1.000 95% CI). The sensitivity, specificity, PPV, and NPV were 85.1, 100, 100, and 41.7% respectively. Multivariate models of 4-biomarker combinations did not identify any combinations with statistically significant ORs (p < 0.05). Conclusions The analysis identified the combination of CK7/CK20/SATB2 to be the smallest panel with the highest sensitivity (85.1%) and specificity (100%) for predicting tumour origin with an ROC AUC of 0.965 (p < 0.001; SE: 0.018, 0.930–1.000 95% CI).

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Prognostic value of AIMS65 score in cirrhotic patients with variceal bleeding

MedPharmRes ◽

10.32895/ump.mpr.6.1.4 ◽

2021 ◽

Vol 6 (1) ◽

pp. 22-26

Author(s):

Trong Nguyen Dang Huynh

Keyword(s):

Variceal Bleeding ◽

Predictive Value ◽

Prognostic Value ◽

Area Under The Curve ◽

Scoring Systems ◽

Meld Score ◽

Operating Characteristics ◽

Increased Risk ◽

Cirrhotic Patients ◽

Ctp Score

Background: In cirrhotic patients, variceal bleeding remains a major cause of death. After a variceal bleeding episode, mortality and rebleeding rates spike for the first 6 weeks before levelling off. We aimed to evaluate the performance of AIMS65 score in comparison with Child-Turcotte-Pugh (CTP) score and model for end-stage liver disease (MELD) score in predicting 6-week mortality and rebleeding in cirrhotic patients with variceal bleeding. Method: Data were collected prospectively from patients with cirrhosis and variceal bleeding at Gastroenterology and Hepatology Department of Cho Ray hospital from September 2016 to April 2017. The primary endpoint was 6-week mortality and rebleeding. The prognostic value of AIMS65, CTP, and MELD scoring systems for 6-week mortality and rebleeding was compared by receiver operating characteristics curves (ROC) and the area under the curve (AUC). Results: Among 80 patients, 15% rebled and 25% died during 6-week follow-up. AUCROC of AIMS65, CTP, and MELD scores in predicting 6-week rebleeding were 0.68, 0.54, and 0.48, respectively. AUCROC of AIMS65, CTP, and MELD scores in predicting 6-week mortality were 0.80, 0.74, and 0.64, respectively. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of AIMS65 score at the cutoff point of 2 were 95%, 55%, 41.3%, and 97%, respectively. Conclusion: AIMS65 score is a simple yet applicable tool for risk stratification in cirrhotic patients with variceal bleeding. We recommend using AIMS65 score with a cut-off point of 2 to identify patients at increased risk for 6-week mortality after variceal bleeding.

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