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Aim: To optimize gastric cancer screening score and reduce screening costs using machine learning models. Methods: This study included 228,634 patients from the Taizhou Gastric Cancer Screening Program. We used three machine learning models to optimize Li's gastric cancer screening score: Gradient Boosting Machine (GBM), Distributed Random Forest (DRF), and Deep Learning (DL). The performance of the binary classification models was evaluated using the area under the curve (AUC) and area under the precision-recall curve (AUCPR). Results: In the binary classification model used to distinguish low-risk and moderate- to high-risk patients, the AUC in the GBM, DRF, and DL full models were 0.9994, 0.9982, and 0.9974, respectively, and the AUCPR was 0.9982, 0.9949, and 0.9918, respectively. Excluding Helicobacter pylori IgG antibody, pepsinogen I, and pepsinogen II, the AUC in the GBM, DRF, and DL models were 0.9932, 0.9879, and 0.9900, respectively, and the AUCPR was 0.9835, 0.9716, and 0.9752, respectively. Remodel after removing variables IgG, PGI, PGII, and G-17, the AUC in GBM, DRF, and DL was 0.8524, 0.8482, 0.8477, and AUCPR was 0.6068, 0.6008, and 0.5890, respectively. When constructing a tri-classification model, we discovered that none of the three machine learning models could effectively distinguish between patients at intermediate and high risk for gastric cancer (F1 scores in the GBM model for the low, medium and high risk: 0.9750, 0.9193, 0.5334, respectively; F1 scores in the DRF model for low, medium, and high risks: 0.9888, 0.9479, 0.6694, respectively; F1 scores in the DL model for low, medium, and high risks: 0.9812, 0.9216, 0.6394, respectively). Conclusion: We concluded that gastric cancer screening indicators could be optimized when distinguishing low-risk and moderate to high-risk populations, and detecting gastrin-17 alone can achieve a good discriminative effect, thus saving huge expenditures.

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BACKGROUND: New markers are needed to improve the effectiveness of serological screening for atrophic gastritis. AIM: To develop a cost-effective method for serological screening of atrophic gastritis with a high level of sensitivity. METHODS: Of the 169 patients with atrophic gastritis, selected by the visual endoscopic Kimura-Takemoto method, 165 showed histological mucosal atrophy using the updated Kimura-Takemoto method. All 169 patients were examined for postprandial levels of gastrin-17 (G17) and pepsinogen-1 (PG1) using GastroPanel® (Biohit Plc, Helsinki, Finland). RESULTS: We used the histological standard of five biopsies of the gastric mucosa, in accordance with the Kimura-Takemoto classification system to assess the sensitivity of G17 in detecting gastric mucosal atrophy. We also compared the morpho-functional relationships between the detected histological degree of gastric mucosal atrophy and the serological levels of G17 and PG1, as the markers of atrophic gastritis. The sensitivity of postprandial G17 was 62.2% for serological levels of G17 (range: 0-4 pmol/L) and 100% for serological G17 (range: 0-10 pmol/L) for the detection of monofocal severe atrophic gastritis. No strong correlation was found between the levels of PG1 and degree of histological atrophy determined by the Kimura-Takemoto classification system to identify the severity of mucosal atrophy of the gastric corpus. In the presented clinical case of a 63-year-old man with multifocal atrophic gastritis, there is a pronounced positive long-term dynamics of the serological marker of atrophy - postprandial G17, after five months of rennet replacement therapy. CONCLUSION: Serological screening of multifocal atrophic gastritis by assessment of postprandial G17 is a cost-effective method with high sensitivity. Postprandial G17 is an earlier marker of regression of atrophic gastritis than a morphological examination of a gastric biopsy in accordance with the Sydney system. Therefore, postprandial G17 is recommended for dynamic monitoring of atrophic gastritis after treatment.

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BACKGROUND: Gastric ulcers (GUs) have a high risk of clinical morbidity and recurrence, and further exploration is needed for the prevention, diagnosis, and treatment of the disease. AIM: To investigated the effects of a diet plan on pepsinogen (PG) I, PG II, gastrin-17 (G-17) levels and nutritional status in patients with GUs. METHODS: A total of 100 patients with GUs treated between May 2022 and May 2023 were enrolled, with 47 patients in the control group receiving routine nursing and 53 patients in the experimental group receiving dietary nursing intervention based on a diet plan. The study compared the two groups in terms of nursing efficacy, adverse events (vomiting, acid reflux, and celialgia), time to symptom improvement (burning sensation, acid reflux, and celialgia), gastric function (PG I, PG II, and G-17 levels), and nutritional status [prealbumin (PA) and albumin (ALB) levels]. RESULTS: The experimental group showed a markedly higher total effective rate of nursing, a significantly lower incidence of adverse events, and a shorter time to symptom improvement than the control group. Additionally, the experimental group's post-intervention PG I, PG II, and G-17 levels were significantly lower than pre-intervention or control group levels, whereas PA and ALB levels were significantly higher. CONCLUSION: The diet plan significantly reduced PG I, PG II, and G-17 levels in patients with GUs and significantly improved their nutritional status.

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OBJECTIVES: No studies have evaluated the relationship between lifestyle and Pepsinogen (PG)I, PGII and Gastrin (G)17 in patients with anxiety. Using data from the Affiliated Hospital of Xuzhou Medical University study, we aimed to identify factors associated with anxiety. METHODS: We conducted a retrospective cross-sectional observational study involving 779 Chinese healthy checkup participants (301 males; mean age, 47.60±16.17 years) who underwent stomach-related health examinations. RESULTS: Anxiety was defined as a Hamilton Anxiety Scale (HAM-A) Scale score ≥14. The odds ratios, with 95% confidence intervals, were calculated using binary logistic analysis to assess the risk of anxiety and healthy checkup participants while adjusting for several covariates. In the HAM-A≥14 group (anxiety group), sex, PGII and pickled dishes were independent influencing factors. Binary logistic regression analysis revealed a significant difference in anxiety risk between the high PGII group and the low PGII group for females (P=0.005). There was also a significant difference in anxiety risk between the groups consuming pickled and non-pickled food for females (P=0.010). Logistic regression analysis indicated a higher risk of anxiety in females aged ≤50 years who belonged to the high PGII + no pickled foods group. CONCLUSIONS: Our study revealed that in females aged ≤50 years, high levels of PGII and no pickled foods were associated with a higher risk of anxiety.

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BACKGROUND: The noninvasive serum markers pepsinogen I (PGI), pepsinogen II (PGII), gastrin-17 (G17), and PGI:PGII ratio (PGR) have recently been proposed as a new tool for predicting various gastric pathologies. METHODS: A total of 83 gastritis patients confirmed by gastroscopy were enrolled, with 78 undergoing concurrent colonoscopies. The control group included 99 healthy subjects. Enzyme-linked immunosorbent assay was used to detect PGI, PGII, G17, and PGR. The performance of serological analysis for detecting gastritis pathology was evaluated using receiver operating characteristic (ROC) curves. RESULTS: The G17 and PGII levels increased significantly (P < .001), whereas PGR levels decreased (P = .001) in the gastritis group. The ROC analysis revealed that PGR had a sensitivity and specificity of 70.83% and 86.67%, respectively, in predicting Helicobacter pylori-infected gastritis and a sensitivity and specificity of 88% and 65.52%, respectively, in predicting active gastritis. The G17 levels were significantly elevated in gastritis patients undergoing concurrent colonoscopies (P < .05). CONCLUSION: Pepsinogen I:pepsinogen II ratio was found to be a useful predictor of active gastritis and H pylori-infected gastritis. Furthermore, G17 was found to be closely related to pathological conditions found by colonoscopy and may provide recommendations for whether gastritis patients should undergo a concurrent colonoscopy.

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BACKGROUND: The causes of vitamin B12 (B12) deficiency are varied and mainly related to gastric disorders. Glossitis is a common oral manifestation of B12 deficiency and is often first seen by dentists. This study aimed to investigate the correlation between B12 deficiency-related glossitis (B12-def glossitis) and gastric serum biomarkers [gastrin-17(G17), pepsinogen I (PGI), pepsinogen II (PGII), and anti-Helicobacter pylori (H. pylori) antibodies], and preliminarily discuss the etiology of B12-def glossitis. METHODS: A cross-sectional study was conducted in patients complaining of glossodynia, burning sensation, or severe recurrent oral ulcers, but patients with a history of gastrectomy were excluded. All subjects underwent a uniform oral examination and hematological tests. RESULTS: Of 243 patients, 133 with B12-def glossitis were in the case group, and 110 with other oral mucosal diseases (non-glossitis) and normal B12 levels were in the control group. In the case group, 84.2% (112/133) showed high G17 and low PGI levels (G17hi PGIlow ). Univariate logistic regression showed that G17hi PGIlow was a high-risk factor for B12-def glossitis (OR: 92.44; 95% CI: 35.91, 238.02). Subgroup analyses in the case group showed that the G17hi PGIlow group presented with lower B12 levels and a lower positive rate of anti-H. pylori antibodies compared to the non-G17hi PGIlow group. CONCLUSION: Gastric serum biomarkers in patients with B12-def glossitis generally showed G17hi PGIlow , suggesting possible atrophy of gastric corpus and fundus mucosa. The G17hi PGIlow and non-G17hi PGIlow groups may represent different etiologies of B12 deficiency.

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Objective To study the value of ultrasonography combined with serum Gastrin-17 in differenti-al diagnosis of abdominal IgA vasculitis in children.Methods A total of 80 children with IgA vasculitis admit-ted to the hospital from June 2020 to December 2022 were selected,including 45 cases of abdominal IgA vascu-litis(observation group)and 35 cases of other types of IgA vasculitis(without gastrointestinal symptoms,control group).The ultrasonographic characteristics and Gastrin-17 level of abdominal IgA vasculitis were an-alyzed,and the relationship between Gastrin-17 level and purpura symptom score was analyzed.Receiver oper-ating characteristic(ROC)curve was used to analyze the diagnostic value of ultrasonography and Gastrin-17 for abdominal IgA vasculitis in children.Results The symptom score of purpura in the observation group was significantly higher than that in the control group(P<0.001),while the serum Gastrin-17 level in the obser-vation group was significantly lower than that in the control group.Pearson correlation analysis showed that serum Gastrin-17 level was negatively correlated with purpura symptom score(r=-0.758,P<0.001).Ul-trasound images showed"doughnut"-like changes in the intestinal wall,with different degrees of central-thick-ness thickening and reduced echo,mainly submucosal thickening.ROC curve analysis showed that the cut-off value of serum Gastrin-17 in the diagnosis of abdominal IgA vasculitis in children was 2.91 pmol/L,the area under the curve was 0.787(95%CI:0.685-0.888),the sensitivity and the specificity were 75.56%(34/45)and 74.29%(26/35),respectively.The sensitivity of ultrasound combined with Gastrin-17 in the diagnosis of abdominal IgA vasculitis in children was 97.78%(44/45),the negative prediction rate was 95.65%(22/23),and the accuracy rate was 82.50%(66/80),which was significantly higher than those of single diagnosis(P<0.05).Conclusion Serum Gastrin-17 level is low in children with abdominal IgA vasculitis,and ultrasound imaging shows"doughnut"-like changes in the intestinal wall and thickening of the submucosa.Combined de-tection of the two could effectively differentially diagnose abdominal IgA vasculitis in children.

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Objective To observe the effects of different virulence types of Helicobacter pylori on pepsin and inflammatory factors.Methods 110 patients admitted from December 2021 to March 2023 were collected and divided into HP positive group(n=79)and HP negative group(n=31)according to 13 carbon breath test results.The HP positive group was divided into type Ⅰ group(n=52),type Ⅱ group(n=11)and undetermined group(n=16)according to the Helicobacter pylori antibody typing.The HP negative group was selected and divided into blank control group(n=12).Gastric juice pH value,sodion(Na+),potassium(K+),chloridion(Cl-),IL-6,IL-8,gastrin 17(G-17),pepsinogen Ⅰ(PG Ⅰ)and pepsinogen Ⅱ(PG Ⅱ)were detected in all patients.Results Th-ere was no difference in pH,Na+,Cl-,K+ between Hp positive group and Hp negative group(P>0.05).The content of Cl-in HP-positive group was lower than that in HP-negative group(P<0.05).The levels of IL-6,IL-8,G-17,PG Ⅰ and PG Ⅱ in HP-positive group were significantly higher than those in HP-negative group(P<0.05).There was no significant difference in pH,Na+ and K+ between type Ⅰ group and type Ⅱ group,undetermined group and blank control group(P>0.05).The content of Cl-in type Ⅰ group and undetermined group was lower than that in blank control group(P<0.05).The levels of IL-6,IL-8 and PG Ⅰ in type I group were higher than those in type Ⅱ group,undetermined group and blank control group(P<0.05).There was a significant difference in PG Ⅱ between the blank control group and the other groups(P<0.05).There was no difference in G-17 content between type Ⅰ group and undetermined group(P>0.05).The level of G-17 in type I group was higher than that in type Ⅱ group and blank control group(P<0.05).Conclusion Type I Hp infection may cause gastric mucosal injury by increasing the expression of IL-6,IL-8 and G-17,and then lead to abnormal digestive function.

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Purpose: Intestinal metaplasia plays a crucial role in the risk stratification of gastric cancer development. The objective of the study was to develop a prediction model for Operative Link on Gastric Intestinal Metaplasia (OLGIM) Stage III-IV. Methods: We analyzed 7945 high-risk gastric cancer individuals from 115 hospitals who underwent questionnaires and gastroscope. The participants were assigned to either the development or validation cohort randomly. Demographics and clinical characteristics were obtained. The outcome measurement was OLGIM III-IV. Univariate logistic regression was used for feature selection and multivariate logistic analysis was performed to develop the nomogram. Area under the curves, calibration plots, decision curve and clinical impact analysis were used to assess the performance of the nomogram. Results: 4600 individuals and 3345 individuals were included in the development and validation cohort, of which 124 and 86 individuals were diagnosed with OLGIM III-IV, respectively. Parameters in the training validation cohort matched well and there was no significant difference between two cohorts. A nomogram model for predicting OLGIM Stage III-IV consisted of 4 significantly associated variables, including age, gender, PG I and G-17 (AUC 0.723 and 0.700 for the 2 cohorts). The nomogram demonstrated excellent performance in the calibration curve. Decision curve and clinical impact analysis suggested clinical benefit of the prediction model. Conclusions: This reliable individualized nomogram might contribute to more accurate management for patients with OLGIM III-IV. Therefore, we suggest that this study be used as an incentive to promote the application.

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BACKGROUND: To analyze the difference of serum gastrin-17 (G17) level in healthy people with different sex, age, and body mass index (BMI), to explore the correlation between G17 and pepsinogen, and to study the influences of Helicobacter pylori (H. pylori) infection and various inflammatory factors on G17 secretion level. METHODS: A total of 531 subjects who received physical examination in our center from April 2019 to December 2019 were enrolled in the study. All subjects were tested for G17, pepsinogen I (PGI), pepsinogen II (PGII), PGI/PGII ratio (PGR), H. pylori, serum amyloid A (SAA), C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). The difference of G17 secretion in different subjects and its correlation with PG were analyzed to investigate H. pylori infection and expound the effects of inflammatory indicators on G17. RESULTS: There was no significant difference in G17 secretion level in people with different sex, age and BMI (p > .05). G17 positively correlated with PGI and PGII, but negatively correlated with PGR. The G17 level of H. pylori-positive subjects was 10.16 ± 12.84, and prominently higher than that of H. pylori-negative subjects (3.27 ± 6.65). SAA and H. pylori infection were the greater risk factors for G17 abnormality among various indicators. CRP and ESR had no effect on G17 abnormality. CONCLUSIONS: G17 secretion is closely related to PG and H. pylori. Combined screening contributes to early screening of gastrointestinal diseases in normal people or groups at high risk for gastric cancer, but the influence of inflammatory indicators on G17 should be excluded to improve the reliability of the results.

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Background: Autoimmune gastritis (AIG), characterized with the presence of anti-parietal-cell antibodies (APCA), is a risk factor for gastric cancer. However, AIG may go underdiagnosed, especially in the case of H. pylori infection and the presence of gastric precancerous lesions (GPL), due to the ambiguous pathology and delayed symptom onset. Aim: Investigate the prevalence and characteristics of AIG in GPL patients. Methods: Prevalence of AIG was determined with the presence of APCA in patients with GPL (n = 256) and the control group (n = 70). Pathological characteristics and levels of gastrin 17 (G17), pepsinogen (PG) I and II and anti-Helicobacter pylori IgG were assessed in GPL cases, and the severity of intestinal metaplasia and gastric atrophy was scored by expert pathologists. Results: APCA positivity was observed in 18% of cases vs. 7% of controls (p = 0.033). Only 3/256 patients were previously diagnosed with AIG. The presence of APCA was associated with corpus-limited and extended GPL. A receiver operating curve analysis demonstrated that the G17 and PGI/II ratio could identify APCA-positive patients within GPL cases (AUC: 0.884). Conclusions: The prevalence of AIG is higher in patients with GPL but goes undiagnosed. Using G17 and PG I/II as diagnostic markers can help to identify patients with AIG and improve surveillance programs for patients with GPL.

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Background: Gastric cancer is one of the most common types of cancer worldwide. Helicobacter pylori infection is clearly correlated with gastric carcinogenesis. Therefore, the use of a new non-invasive test, known as the GastroPanel test, can be very helpful to identify patients at a high risk, including those with atrophic gastritis, intestinal metaplasia, and dysplasia. This study aimed to compare the results of GastroPanel test with the pathological findings of patients with gastric atrophy to find a safe and simple alternative for endoscopy and biopsy as invasive methods. Methods: This cross-sectional study was performed on patients with indigestion, who were referred to Motahari Clinic and Shahid Faghihi Hospital of Shiraz, Iran, since April 2017 until August 2017 for endoscopy of the upper gastrointestinal tract. The serum levels of gastrin-17 (G17), pepsinogen I (PGI), and pepsinogen II (PGII), as well as H. pylori antibody IgG, were determined by ELISA assays. Two biopsy specimens from the antrum and gastric body were taken for standard histological analyses and rapid urease test. A pathologist examined the biopsy specimens of patients blindly. Results: A total of 153 patients with indigestion (62.7% female; mean age, 63.7 years; 37.3% male; mean age, 64.9 years) were included in this study. The G17 levels significantly increased in patients with chronic atrophic gastritis (CAG) of the body (9.7 vs. 32.8 pmol/L; P = 0.04) and reduced in patients with antral CAG (1.8 vs. 29.1 pmol/L; P = 0.01). The results were acceptable for all three types of CAG, including the antral, body, and multifocal CAG (AUCs of 97%, 91%, and 88% for body, antral, and multifocal CAG, respectively). The difference in PGII level was not significant. Also, the PGI and PGI/PGII ratio did not show a significant difference (unacceptably low AUCs for all). The H. pylori antibody levels were higher in patients infected with H. pylori (251 EIU vs. 109 EIU, AUC = 70, P = 0.01). There was a significant relationship between antibody tests and histopathology. Conclusion: Contrary to Biohit's claims, the GastroPanel kit is not accurate enough to detect CAG; therefore, it cannot be used for establishing a clinical diagnosis.

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Gastric cancer continues to be a significant health concern in China, with a high incidence rate. To mitigate its impact, early detection and treatment is key. However, conducting large-scale endoscopic gastric cancer screening is not feasible in China. Instead, a more appropriate approach would be to initially screen high-risk groups and follow up with endoscopic testing as needed. We conducted a study on 25,622 asymptomatic participants aged 45-70 years from a free gastric cancer screening program in the Taizhou city government's Minimum Living Guarantee Crowd (MLGC) initiative. Participants completed questionnaires, blood tests, and underwent gastrin-17 (G-17), pepsinogen I and II (PGI and PGII), and H. pylori IgG antibody (IgG) assessments. Using the light gradient boosting machine (lightGBM) algorithm, we developed a predictive model for gastric cancer risk. In the full model, F1 score was 2.66%, precision was 1.36%, and recall was 58.14%. In the high-risk model, F1 score was 2.51%, precision was 1.27%, and recall was 94.55%. Excluding IgG, the F1 score was 2.73%, precision was 1.40%, and recall was 68.62%. We conclude that H. pylori IgG appears to be able to be excluded from the prediction model without significantly affecting its performance, which is important from a health economic point of view. It suggests that screening indicators can be optimized, and expenditures reduced. These findings can have important implications for policymakers, as we can focus resources on other important aspects of gastric cancer prevention and control.

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A highly sensitive and convenient amplified luminescent proximity homogeneous assay (AlphaLISA) method with high throughput and automation potential was developed for quantitation of serum Gastrin-17 (G-17) levels, which can facilitate the early diagnosis of atrophic gastritis in people at high risk of gastric cancer using a non-invasive approach. In this study, donor and acceptor beads with modified carboxyl groups on the surface were directly coupled to anti-G-17 antibodies through activation was proposed for application in the development of the new AlphaLISA, which can effectively simplify the steps and shorten the reaction time to achieve faster detection. Therefore, the G-17-AlphaLISA only needs to react for 15 min to obtain good analysis results. The proposed method has a wider detection range than commercial enzyme-linked immunosorbent assay (ELISA) kits (0.12-112.8 pmol/L > 0.5-40 pmol/L). In addition, results of G-17-AlphaLISA and ELISA had good correlation and agreement (ρ = 0.936). Importantly, the developed method may be more suitable for the large-scale screening of people at high risk for gastric cancer than traditional ELISA and provides a novel solution for other biomarkers that require accurate, highly sensitive, and high throughput detection.

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We aimed to determine the diagnostic value of anti-parietal cell antibodies (anti-PCA), anti-intrinsic factor antibodies (anti-IFA), pepsinogen ratio (PGI/II), and gastrin-17 (G-17) in corpus-restricted atrophic gastritis (CRAG) detected by ELISA (Inova, Biohit). Our study compared 29 CRAG cases against 58 age- and sex-matched controls with mild or no atrophy. Anti-PCA and anti-IFA positive cutoff values were ≥25 units for both. PGI/II value <3 was considered characteristic for atrophy; positive cutoff values for G-17 and anti-H. pylori IgG were >5 pg/L and >30 EIU. Anti-PCA was positive in 65.5% For CRAG cases and 13.8% of the controls (p < 0.0001), anti-IFA was positive in 13.8% and 0% (p = 0.01), respectively. Decreased pepsinogen levels were present in 79.3% of CRAG cases and 10.3% of the controls (p < 0.0001). PGI/II ratio was the best single biomarker, with sensitivity = 79%, specificity = 90%, and AUC 0.90. The combined use of PGI/II and anti-PCA resulted in AUC 0.93 for detecting CRAG. Our study suggests that the best combination of non-invasive biomarkers for detecting CRAG is PGI/II with anti-PCA. The addition of G-17 and anti-IFA is of little utility in clinical application.

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Background: We aimed to analyze the predictive role of serum test and questionnaire in Early Gastric Cancer in The First Affiliated Hospital of Xingtai Medical College, Hebei Province from 2019 to 2020. Methods: In this prospective study, 280 medical examiners underwent questionnaire, serum test and gastroscopy. They were divided into Gastric cancer (GC) and Non-Gastric cancer (NGC) group. NGC group was divided into Low-grade intraepithelial neoplasia (LGIN), Chronic atrophic gastritis (CAG) and Non-chronic atrophic gastritis (NCAG) group. Results: Age, drinking, sex and Gastrin-17(G-17) was respectively independent risk factors for GC. Age, drinking and G-17 was independent risk factors for GC in men. G-17 of GC group was higher than that of LGIN and NCAG group (P<0.05). Pepsinogen I/II ratio (PGR) of GC was lower than that of NCAG group (P<0.05). There was no significant difference between Pepsinogen I (PGI) and Pepsinogen II (PGII) in the four groups. Helicobacter pylori-immunoglobulin G antibodies (H. pylori-IgG) of LGIN group was significantly higher than that of CAG and NCAG group in gastritis group (P<0.008). G-17≥42.95 pmol/L, age≥69years, male and drinking can predict GC. Conclusion: Older, drinking, men and high G-17 could respectively predict GC. Especially in men, older, drinking and high G-17 could affect the occurrence of GC. G-17, age, drinking and sex used respectively to screen high-risk populations for GC were more efficient than combined screening. GC had a higher serum G-17 and a lower PG than other gastric diseases.

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OBJECTIVE: The aim of this study was to analyze the relationship of serum gastrin-17 (G-17) and oral mucositis in head and neck carcinoma (HNC) patients receiving radiotherapy. METHODS: Serum G-17 were detected in patients before and after radiotherapy. Patients were divided into high G-17 group (baseline serum G-17 ≥ 5pmol/L) and low G-17 group (baseline serum G-17 < 5pmol/L). The severity of oral mucositis was analyzed between the two groups. Other complications such as dysphagia, salivary gland, mandible, thyroid function, larynx, pain, and weight loss were also investigated. RESULTS: Forty-two patients were analyzed in this study. The level of serum G-17 had a significant decrease after radiotherapy (7.29 ± 5.70pmol/L versus 4.93 ± 4.46pmol/L, P = 0.038). In low serum G-17 group, the incidences of grade 0, 1-2 and 3-4 of oral mucositis were 0%, 30.4%, and 69.6%, respectively. In high serum G-17 group, the incidences of grade 0, 1-2 and 3-4 of oral mucositis were 0%, 63.2%, and 36.8%, respectively. Pearson correlation analysis showed that serum G-17 was negatively correlated with oral mucositis (r=-0.595, P < 0.01). Weight loss of low G-17 group was more serious than that of high G-17 group. CONCLUSION: Serum G-17 has a close relationship with oral mucositis. Baseline serum G-17 may be a potential predictor for the severity of oral mucositis in HNC patients receiving radiotherapy.

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Background: Association of gastric atrophy or cancer with levels of serum pepsinogens, gastrin-17 and anti-Helicobacter pylori IgG antibody have been extensively studied. However, the association of serum pepsinogen and gastrin-17 with H. pylori infection has not been studied in a large population. Aim: To investigate the impact of H. pylori infection on serum levels of pepsinogens and gastrin-17. Methods: A total of 354, 972 subjects who underwent health check-ups were included. Serum levels of pepsinogens and gastrin-17 were measured using the enzyme-linked immunosorbent assay. H. pylori infection was detected using 14C-urea breath test (UBT). Multivariable logistic regression analysis was used to investigate the association of serum pepsinogen and gastrin-17 with H. pylori infection. Results: H. pylori prevalence was 33.18% in this study. The mean levels of pepsinogens and gastrin-17 were higher, while the mean pepsinogen-I/II ratio were lower among H. pylori-positive than -negative subjects. In H. pylori-positive subjects, pepsinogen and gastrin-17 levels correlated positively, whereas the pepsinogen-I/II ratio correlated negatively with UBT values (e.g., the mean serum level of pepsinogen-I in subjects with UBT values in the range of 100-499dpm, 500-1499dpm, and ≥1500dpm was 94.77 ± 38.99, 102.77 ± 43.59, and 111.53 ± 47.47 ng/mL, respectively). Compared with H. pylori-negative subjects, the adjusted odds ratio (aOR) of having pepsinogen-I ≤ 70 ng/mL in the three H. pylori-positive but with different UBT value groups was 0.31 (p<0.001), 0.16 (p<0.001), and 0.08 (p<0.001), respectively; while the aOR of having G-17>5.70 pmol/L was 4.56 (p<0.001), 7.43 (p<0.001), and 7.12 (p<0.001). This suggested that H. pylori-positive subjects with higher UBT values were less likely to have pepsinogen-I ≤70 ng/mL (a serum marker for gastric atrophy), but more likely to have gastrin-17 >5.70 pmol/L (a marker for peptic ulcer). Conclusions: H. pylori-positive subjects with higher UBT values are unlikely to have gastric atrophy, but may have greater risk of severe gastritis or peptic ulcers. Our study suggests that H. pylori-positive patients with high UBT values may benefit the most from H. pylori eradication.

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Introduction−−Serum pepsinogen tests for gastric cancer screening have been debated for decades. We assessed the performance of two pepsinogen assays with or without gastrin-17 for the detection of different precancerous lesions alone or as a composite endpoint in a Latvian cohort. Methods−−Within the intervention arm of the GISTAR population-based study, participants with abnormal pepsinogen values by ELISA or latex-agglutination tests, or abnormal gastrin-17 by ELISA and a subset of subjects with all normal biomarker values were referred for upper endoscopy with biopsies. Performance of biomarkers, corrected by verification bias, to detect five composite outcomes based on atrophy, intestinal metaplasia, dysplasia or cancer was explored. Results−−Data from 1045 subjects were analysed, of those 273 with normal biomarker results. Both pepsinogen assays showed high specificity (>93%) but poor sensitivity (range: 18.4−31.1%) that slightly improved when lesions were restricted to corpus location (40.5%) but decreased when dysplasia and prevalent cancer cases were included (23.8%). Adding gastrin-17 detection, sensitivity reached 33−45% while specificity decreased (range: 61.1−62%) and referral rate for upper endoscopy increased to 38.6%. Conclusions−−Low sensitivity of pepsinogen assays is a limiting factor for their use in population-based primary gastric cancer screening, however their high specificity could be useful for triage.