Retrospective Study Open Access
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Feb 28, 2022; 28(8): 853-867
Published online Feb 28, 2022. doi: 10.3748/wjg.v28.i8.853
Inverse correlation between gastroesophageal reflux disease and atrophic gastritis assessed by endoscopy and serology
Yoo Min Han, Su Jin Chung, Jong In Yang, Ji Min Choi, Jooyoung Lee, Department of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul 06236, South Korea
Seokha Yoo, Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul 03080, South Korea
Joo Sung Kim, Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul 03080, South Korea
ORCID number: Yoo Min Han (0000-0001-5580-8427); Su Jin Chung (0000-0002-0983-8446); Seokha Yoo (0000-0003-4679-6027); Jong In Yang (0000-0002-1625-8271); Ji Min Choi (0000-0001-8611-4647); Jooyoung Lee (0000-0003-1652-088X); Joo Sung Kim (0000-0001-6835-4735).
Author contributions: Han YM, Chung SJ designed and performed the research and wrote the paper; Yoo S designed the research and contributed to the analysis; Yang JI, Choi JM, Lee J collected the patients’ clinical data and provided clinical advice; Kim JS provided clinical advice and supervised the report; and all authors have read and approve the final manuscript.
Institutional review board statement: This study was approved by the International Review Board of Seoul National University Hospital (IRB No. H-1701-028-655).
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data. Written informed consent was waived by the Ethics Committee of the designated hospital.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest to disclose.
Data sharing statement: Some or all data and code generated or used during the study are available from the corresponding author by request.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Su Jin Chung, MD, PhD, Professor, Department of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, 39th floor, GFC building 152, Teheran Ro, Gangnam-gu, Seoul 06236, South Korea. medjsj7@snuh.org
Received: August 13, 2021
Peer-review started: August 13, 2021
First decision: October 2, 2021
Revised: October 29, 2021
Accepted: January 19, 2022
Article in press: January 19, 2022
Published online: February 28, 2022

Abstract
BACKGROUND

Helicobacter pylori (H. pylori) infection is known to prevent the occurrence of gastroesophageal reflux disease (GERD) by inducing gastric mucosal atrophy. However, little is known about the relationship between atrophic gastritis (AG) and GERD.

AIM

To confirm the inverse correlation between AG and the occurrence and severity of GERD.

METHODS

Individuals receiving health checkups who underwent upper gastrointestinal endoscopy at Seoul National University Healthcare System Gangnam Center were included. The grade of reflux esophagitis was evaluated according to the Los Angeles classification. Endoscopic AG (EAG) was categorized into six grades. Serologic AG (SAG) was defined as pepsinogen I ≤ 70 ng/mL and pepsinogen I/II ratio ≤ 3.0. The association between the extent of EAG and SAG and the occurrence and severity of GERD was evaluated using multivariate logistic regression analysis.

RESULTS

In total, 4684 individuals with GERD were compared with 21901 healthy controls. In multivariate logistic regression analysis, advanced age, male sex, body mass index > 23 kg/m2, presence of metabolic syndrome, current smoking, and alcohol consumption were associated with an increased risk of GERD. Seropositivity for H. pylori immunoglobulin G antibodies was associated with a decreased risk of GERD. There was an inverse correlation between the extent of EAG and occurrence of GERD: Odds ratio (OR), 1.01 [95% confidence interval (CI): 0.90-1.14] in C1, 0.87 (0.78-0.97) in C2, 0.71 (0.62-0.80) in C3, 0.52 (0.44-0.61) in O1, 0.37 (0.29-0.48) in O2, and 0.28 (0.18-0.43) in O3. Additionally, the extent of EAG showed an inverse correlation with the severity of GERD. The presence of SAG was correlated with a reduced risk of GERD (OR = 0.49, 95%CI: 0.28-0.87, P = 0.014).

CONCLUSION

The extent of EAG and SAG exhibited strong inverse relationships with the occurrence and severity of GERD. AG followed by H. pylori infection may be independently protect against GERD.

Key Words: Gastroesophageal reflux disease, Reflux esophagitis, Helicobacter pylori, Atrophic gastritis, Pepsinogen

Core Tip: This is a retrospective study to evaluate the inverse correlation of atrophic gastritis and the occurrence and severity of gastroesophageal reflux disease (GERD). Old age, male sex, body mass index over 23 kg/m2, metabolic syndrome, current smoking, and alcohol intake increased the risk of GERD. Seropositivity for Helicobacter pylori (H. pylori) immunoglobulin G antibody decreased the risk of GERD. There was an inverse correlation between extent of endoscopic atrophic gastritis (EAG) and occurrence of GERD. Additionally, extent of EAG showed inverse correlation with severity of GERD. Presence of serologic atrophic gastritis was correlated with reduced risk of GERD. Atrophic gastritis followed by H. pylori infection could be an inde-pendent protective factor against GERD.



INTRODUCTION

Gastroesophageal reflux disease (GERD) is a disorder with specific symptoms, such as acid regurgitation and heartburn, caused by the recurrent reflux of gastric contents into the esophagus due to transient relaxation or low pressure of the lower esophageal sphincter[1,2]. A condition with troublesome symptoms accompanied by esophageal structural changes, such as mucosal breaks, erosion, or ulcers (i.e., reflux esophagitis) is defined as erosive reflux disease (ERD); however, only about one-third to one-half of patients with GERD exhibit positive findings on endoscopic examinations[1]. Meanwhile, the presentation of typical esophageal symptoms in the absence of endoscopic changes is classified as non-ERD (NERD).

GERD is a common disease with a prevalence ranging from 18.1% to 27.8% in North America, 8.8% to 25.9% in Europe, and 2.5% to 7.8% in East Asia[3,4]. According to a systematic review conducted in 2014, the prevalence of GERD is significantly increased when comparing studies conducted before and after 1995[3]. Several factors such as a prolonged life expectancy, westernized lifestyle, and increasing prevalence of obesity might influence the increase in GERD prevalence[5]. GERD and its complications, such as reflux esophagitis and Barrett’s esophagus, cause a considerable socioeconomic burden in terms of hospital visits, incur significant medical costs for diagnosis and treatment, and induce several problems related to quality of life. A number of epidemiological studies have evaluated the risk factors for GERD. Male sex, caffeine intake, smoking, alcohol consumption, dietary factors (especially the consumption of large meals and a high-fat diet), a low education level, and obesity are known risk factors for GERD[2,6-8].

Interestingly, an inverse correlation between GERD and Helicobacter pylori (H. pylori) infection has been demonstrated in several studies. In a case-control study performed in Japan, most cases of reflux esophagitis occurred in the absence of H. pylori and atrophic gastritis or in milder cases of gastritis with H. pylori infection[9]. H. pylori infection has been shown to reduce the risk and severity of GERD in several epidemiological studies and systematic reviews[10-12]. Furthermore, the grade of reflux esophagitis and GERD symptoms are aggravated after H. pylori eradication therapy[2,13]. These findings suggest that H. pylori infection might be a protective factor against GERD as a result of a decreased acid secretory capacity induced by gastric mucosal atrophy.

As gastric mucosal atrophy is considered a key mechanism by which H. pylori infection prevents the occurrence or aggravation of GERD, several studies have assessed the relationship between atrophic gastritis and GERD. According to a few studies grading the severity of atrophic gastritis using endoscopic biopsies according to a modified updated Sydney classification, H. pylori infection alone may not influence the occurrence of reflux esophagitis. Meanwhile, the involvement and degree of atrophy in the gastric corpus are independent protective factors against GERD[9,14]. However, the histological diagnosis of atrophic gastritis based on endoscopic forcep biopsy is not always feasible in daily clinical settings because of its invasive nature. Pepsinogen is a validated serologic marker reflecting the acid secretory ability of the gastric gland; thus, it may predict the presence or absence of gastric atrophy[19]. In general, pepsinogen I levels ≤ 70 ng/mL and pepsinogen I/II ratios ≤ 3.0 are considered positive results for gastric atrophy[15]. A prospective case-control study in Korea found that the pepsinogen I/II ratio was higher in patients with ERD than in those without ERD[16]. Furthermore, the prevalence of reflux esophagitis decreased as the stage of H. pylori-related chronic gastritis assessed based on serum H. pylori antibody and pepsinogen levels progressed[17]. These studies showed that atrophic gastritis is a major preventive factor for GERD; however, the diagnosis of atrophic gastritis based on histological or serologic methods is not intuitive. In addition, these methods have limitations in terms of medical expenses, which cannot be easily applied in clinical trials.

Endoscopically, gastric atrophy is defined as a visible submucosal pattern in a non-overdistended stomach[18,19]. Previous epidemiological studies have revealed that the prevalence of endoscopic atrophic gastritis (EAG) and incidence of GERD show an inverse correlation[20-23]. However, these studies had several limitations; the extent of EAG was simplified into two types (closed and open types), and the definition of GERD was based solely on the presence of symptoms. Furthermore, these studies did not evaluate various confounding variables, such as demographic, metabolic, and lifestyle factors, which might interfere with the prevalence and grade of GERD.

In this study, we aimed to evaluate whether there is a quantitative correlation between the extent of atrophic gastritis and severity of GERD using endoscopic grading and serologic markers considering a variety of confounding variables in a large Korean population.

MATERIALS AND METHODS
Study population

Individuals receiving health checkups who underwent upper gastrointestinal (GI) endoscopy at Seoul National University Healthcare System Gangnam Center between January 2015 and December 2016 were screened for inclusion in the present study. We excluded those who had prior history of esophageal or gastric cancer and who performed esophagectomy or gastrectomy, active or healing stage of benign gastric or duodenal ulcer, and recent proton pump inhibitor (PPI) medication within one month. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the International Review Board of Seoul National University Hospital (IRB No. H-1701-028-655).

Clinical and laboratory assessment

Demographic data such as age, sex, height, weight, and waist circumference were collected. Physical examinations were performed using a written, systematic protocol with standardized instruments by trained personnel: The waist circumference were measured at midpoint between the lower border of rib cage and iliac crest[24]. Body mass index (BMI) was calculated using height and weight according to the formula: BMI = weight (kg)/height2 (m2). According to the modified World Health Organi-zation criteria from the Asia-Pacific guideline, BMI was categorized as follows: Normal (< 23 kg/m2), overweight (23-24.9 kg/m2) and obese (≥ 25 kg/m2)[25].

Structured self-administered questionnaires were used to collect information including alcohol consumption (≥ 140 g/wk), current smoking (at least one cigarette per day for the previous 12 mo), current use of PPI (history of taking PPI within the last month), medication of sedatives or hypnotics and prior eradication therapy for H. pylori infection. We also assessed the types of physical activity and the time spent for each exercise. The MET values were assigned to physical activity data: 3.3 for walking at a moderate pace, 4.0 for moderate intensity, and 8.0 for vigorous intensity. The MET-minutes per week were estimated by multiplying the reported time spent at each activity by the corresponding MET value. Insufficient physical activity was defined when the MET value was under 3500 per week. Pattern of daily diet was also evaluated for having large meal, high fat diet, high salt diet or high caffeine intake.

Blood samples were drawn for the measurement of serum glucose, triglyceride, high-density lipoprotein cholesterol (HDL-C), H. pylori immunoglobulin G (IgG) antibody and pepsinogen I and II, in the morning after participants had fasted for at least 8 h.

Blood pressure was measured using an automated blood pressure monitor (TM-2655P, A&D Company, Saitama, Japan) twice after at least 5 min of rest in a seated position, and the mean value was used. High blood pressure was defined as a systolic blood pressure ≥ 130 mmHg or a diastolic blood pressure ≥ 85mmHg or taking anti-hypertensive medication. Hyperglycemia was defined as a fasting glucose ≥ 100 mg/dL or taking glucose lowering agents. Metabolic syndrome was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III criteria[26], if there are three or more of the following characteristics: High blood pressure, hyperglycemia, abdominal obesity (waist circumference ≥ 90 cm in men and ≥ 80 cm in women), hypertriglyceridemia (serum triglyceride level ≥ 150 mg/dL), and low HDL-C (HDL-C level < 40 mg/dL in men and < 50 mg/dL in women).

Endoscopic assessment

Seventeen experienced board-certified gastroenterologists performed all endoscopic examinations using conventional white light videoscopes (GIFH260 or GIFH290; Olympus, Aizu, Japan/EG-450WR5). All the gastroenterologists had more than 5 years of endoscopy experience (mean 12.1 years, range 5-27 years) and performed at least 2000 cases esophagogastroduodenoscopies each year.

Definition of GERD

The reflux esophagitis was defined if mucosal breaks or mucosal change such as erythema and/or discoloration were present. The grade of reflux esophagitis was categorized from M to D according to the Los Angeles (LA) classification system with Japanese modification which is based on the length of the longest mucosal break, and confluence of erosions[27,28]: N, normal mucosa; M, minimal changes to mucosa, such as erythema and/or whitish turbidity; A, non-confluent mucosal breaks no longer than 5 mm in length; B, non-confluent mucosal breaks more than 5 mm in length; C, confluent mucosal breaks less than 75% circumferential; D, confluent mucosal breaks at least 75% circumferential. NERD was diagnosed when a subject had the symptom of acid regurgitation or heartburn at a frequency of at least once per week in the absence of reflux esophagitis.

Definition of EAG

Gastric atrophy was evaluated endoscopically according to the location of endoscopic atrophy border (EAB), which is characterized by differences in color, visible capillary network, and height of the gastric mucosa[18,29]: “Closed type” indicates that the EAB is on the lesser curvature of stomach. On the other hand, in “open type”, that is parallel to the vertical axis of stomach and extends along the anterior and posterior walls. The extent of EAG was categorized into six grades (C1 to O3): C0, no visible atrophy; C1, closed atrophy confined to the antrum; C2, closed atrophy confined to the antrum and lesser curvature of the distal gastric body; C3, closed atrophy involving the antrum and lesser curvature of the proximal gastric body; O1, open atrophy with the EAB placing between the lesser curvature and the anterior wall; O2, open atrophy with the EAB placing in the middle of the anterior wall; O3, open atrophy widely spread with the EAB between the anterior wall and the greater curvature.

Definition of serologic atrophic gastritis and H. pylori infection

A pepsinogen test was conducted for serological diagnosis of atrophic gastritis. Serum levels of pepsinogen I and pepsinogen II were measured by Latex Turbid immunoassay kits (HiSens Pepsinogen kit, HBI, Korea). Presence of serologic atrophic gastritis (SAG) was defined when pepsinogen I ≤ 70 ng/mL and pepsinogen I/II ratio ≤ 3[15].

H. pylori infection was measured by serum IgG antibodies using chemiluminescent microparticle immunoassay kits (Siemens, Germany). The values higher than 1.10 IU/mL were considered as a positive test for H. pylori infection.

Statistical analysis

For demographic and clinical characteristics of the study population, results were expressed as mean ± SD, median with interquartile range, or as counts with percentage. Pearson’s chi-square test was used to compare categorical variables and an independent t-test was performed for continuous variables.

The association between EAG and GERD was evaluated using univariate and multivariate logistic regression analyses. First, the extent of EAG was categorized into 7 groups (normal to O3) and multivariate logistic regression analysis was performed to evaluate the risk of GERD according to the extent of EAG. It could show whether the extent of EAG influence the occurrence of GERD. Second, the risk of each grade of GERD (normal to LA-C/D) was independently analyzed according to the extent of EAG (normal to O3). It could show the relationship between extent of EAG and severity of GERD.

Pepsinogen I, II, and I/II ratio were compared using Kruskal-Wallis test due to their non-normal distributions, and post-hoc analysis was done with Wilcoxon rank sum test. In post-hoc analysis, P-value less than 0.0033 was considered statistically significant according to Bonferroni correction. To figure out the impact of SAG on the risk of GERD, multivariate logistic regression analysis was done.

The data were analyzed using R software version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria). P-values less than 0.05 were considered statistically significant.

RESULTS
Demographic and clinical characteristics of the study population

A total of 27764 individuals underwent health checkup including screening upper GI endoscopy at Seoul National University Healthcare System Gangnam Center between January 2015 and December 2016. Among them, a total of 1179 were excluded from the study; 127 with a history of gastrectomy, 831 with current use of PPI, 157 with active or healing stage of gastric ulcer, 56 with active or healing stage of duodenal ulcer and 8 with esophageal cancer. Finally, a total of 26585 subjects were enrolled in this study and were divided into two groups [4684 (17.6%) in GERD group and 21901 (82.4%) in healthy group] according to the presence or absence of reflux symptom and esophageal structural change. The severity of GERD was graded as follows: NERD (1149 patients, 24.5%), LA-M (1229 patients, 26.2%), LA-A (1804 patients, 38.5%), LA-B (484 patients, 10.3%), LA-C (17 patients, 0.4%) and LA-D (1 patient, < 0.1%) (Figure 1).

Figure 1
Figure 1 Flow diagram of the study enrollment. GERD: Gastroesphageal reflux disease; GI: Gastrointestinal; NERD: Non-erosive reflux disease; PPI: Proton pump inhibitor; LA: Los Angeles.

Demographic and clinical characteristics of the study population were compared between the GERD and healthy groups (Table 1). Higher proportion of male was observed in GERD group (72.1% vs 53.1%, P < 0.001). Patients with general obesity (BMI > 25 kg/m2) were more prevalent in GERD group (37.3% vs 25.0%, P < 0.001). Also, abdominal obesity (waist circumference ≥ 90 cm in men and ≥ 80 cm in women) were more common in GERD group (45.0% vs 35.6%, P < 0.001). Patients with GERD showed higher prevalence for high blood pressure (43.3% vs 35.6, P < 0.001), hyperglycemia (46.3% vs 38.6%, P < 0.001), hypertriglyceridemia (27.0% vs 18.9%, P < 0.001) and metabolic syndrome (30.7% vs 22.5%, P < 0.001). Excessive alcohol consumption and current smoking were more frequently observed in GERD group (21.6% vs 15.7%, P < 0.001 and 22.5% vs 15.4%, P < 0.001, respectively). Several life-style factors such as insufficient physical activity (33.7% vs 32.0%, P = 0.022), having large meal (12.3% vs 10.3%, P < 0.001), high fat diet (34.8% vs 31.3%, P < 0.001), high salt diet (13.3% vs 11.0%, P < 0.001), and high caffeine intake (30.5% vs 28.3%, P = 0.003) were more frequently accompanied in patients with GERD. Meanwhile, H. pylori antibody sero-positivity was less frequent in GERD group (25.3% vs 43.3%, P < 0.001).

Table 1 Demographic and clinical characteristics of the study population.

GERD group (n = 4684)
Healthy group (n = 21901)
P value
Age50.9 ± 11.550.7 ± 11.10.330
Sex< 0.001
Female1305 (27.9%)10265 (46.9%)
Male3379 (72.1%)11636 (53.1%)
BMI< 0.001
< 231657 (35.4%)11079 (50.6%)
23-251278 (27.3%)5346 (24.4%)
≥ 251748 (37.3%)5476 (25.0%)
Abdominal obesity2109 (45.0%)7802 (35.6%)< 0.001
High B2028 (43.3%)7795 (35.6%)< 0.001
Hyperglycemia2168 (46.3%)8451 (38.6%)< 0.001
Hypertriglycemia1267 (27.0%)4136 (18.9%)< 0.001
Low-HDL853 (18.2%)4214 (19.2%)0.108
Metabolic syndrome1437 (30.7%)4920 (22.5%)< 0.001
Medication of sedatives or hypnotics149 (3.2%)704 (3.2%)0.942
Alcohol consumption1010 (21.6%)3449 (15.7%)< 0.001
Smoking history< 0.001
Never smoker2188 (46.7%)12759 (58.3%)
Ex-smoker 1444 (30.8%)5764 (26.3%)
Current smoker1052 (22.5%)3378 (15.4%)
Insufficient physical activity1578 (33.7%)6998 (32.0%)0.022
Having large meal577 (12.3%)2250 (10.3%)< 0.001
High fat diet1631 (34.8%)6847 (31.3%)< 0.001
High salt diet 624 (13.3%)2414 (11.0%)< 0.001
High caffeine intake 1427 (30.5%)6200 (28.3%)0.003
Seropositivity for H. Pylori IgG Ab1068 (25.3%)8453 (43.4%)< 0.001
Univariate and multivariate analysis on the risk for occurrence of GERD

Several variables on the risk for GERD were analyzed by univariate and multivariate logistic regression analysis (Table 2). All the variables included in the univariate analysis were used in multivariate analysis. Advanced age and male sex were significant risk factors for GERD in multivariate analysis [Odds ratio (OR) = 1.10, 95% confidence interval (CI): 1.06-1.14, P < 0.001 and OR = 1.96, 95%CI: 1.79-2.15, P < 0.001, respectively]. As BMI increased, the risk of GERD also increased (OR = 1.27, 95%CI: 1.16-1.39, P < 0.001 for BMI 23-25; and OR = 1.51, 95%CI: 1.37-1.67, P < 0.001 for BMI > 25). Metabolic syndrome was a significant risk factor for GERD (OR = 1.12, 95%CI: 1.03-1.22, P = 0.008). Excessive alcohol intake and current smoking also significantly increased risk of GERD (OR = 1.10, 95%CI: 1.00-1.21, P = 0.043; and OR = 1.26, 95%CI: 1.14-1.39, P < 0.001, respectively). Among various life-style factors including exercise and dietary habits, there were no significant risk factors for GERD occurrence. On the other hand, sero-positivity for H. pylori IgG antibody lowered the risk for GERD by approximately half (OR = 0.49, 95%CI: 0.45-0.54, P < 0.001).

Table 2 Univariate and multivariate analysis on the risk for gastroesophageal reflux disease.
Univariate analysis
Multivariate analysis
OR
95%CI
P value
OR
95%CI
P value
Age (10 yr)1.010.99-1.040.3191.10 1.06-1.14< 0.001
Male sex2.282.13-2.45< 0.0011.961.79-2.15< 0.001
BMI
< 23ReferenceReference
23-251.601.48-1.73< 0.0011.271.16-1.39< 0.001
> 252.131.98-2.30< 0.0011.511.37-1.67< 0.001
Metabolic syndrome1.531.42-1.64< 0.0011.121.03-1.220.008
Medication of sedatives or hypnotics0.990.83-1.180.9061.010.83-1.220.919
Alcohol intake1.471.36-1.59< 0.0011.101.00-1.210.043
Smoking history
Never smokerReferenceReference
Ex-smoker1.461.36-1.57< 0.0010.970.88-1.060.439
Current smoker1.821.67-1.97< 0.0011.261.14-1.39< 0.001
Low level of physical activity1.081.01-1.160.0211.060.98-1.140.132
Having large meal1.231.11-1.35< 0.0011.060.95-1.180.304
High fat diet1.171.10-1.26< 0.0011.000.93-1.080.992
High salt diet 1.241.13-1.36< 0.0011.070.96-1.190.195
High caffeine intake1.111.04-1.190.0030.970.90-1.050.464
Seropositivity for H. Pylori IgG Ab0.440.41-0.47< 0.0010.490.45-0.54< 0.001

Interestingly, there was an inverse correlation between extent of EAG and occurrence of GERD: As the extent of EAG progressed from normal to O3, the prevalence of GERD decreased gradually. In the multivariate logistic regression analysis, EAG was a significant protective factor for GERD: OR, 1.01 (95%CI: 0.90-1.14) in C1, 0.87 (0.78-0.97) in C2, 0.71 (0.62-0.80) in C3, 0.52 (0.44-0.61) in O1, 0.37 (0.29-0.48) in O2, and 0.28 (0.18-0.43) in O3. (Figure 2).

Figure 2
Figure 2 Multivariate analysis on the risk for occurrence of gastroesphageal reflux disease according to the extent of endoscopic atrophic gastritis. 1Adjusted for age, sex, body mass index, metabolic syndrome, medication of sedatives or hypnotics, alcohol consumption, smoking history, physical activity, dietary factor, and Helicobacter pylori immunoglobulin G. CI: Confidence interval; GERD: Gastroesophageal reflux disease; OR: Odds ratio.
Correlation of EAG and severity of GERD

The grade of GERD in relation to the extent of EAG was evaluated and showed in Figure 3. The prevalence of GERD was highest in C1 and showed decreased tendency as extent of EAG progressed; 19.7% in normal, 22.1% in C1, 17.9% in C2, 13.3% in C3, 10.8% in O1, 8.2% in O2 and 8.1% in O3 (Figure 3A). As the extent of EAG progressed, the proportion of NERD gradually increased and proportion of ERD progressively decreased (Figure 3B).

Figure 3
Figure 3 The grade of gastroesophageal reflux disease in relation to the extent of endoscopic atrophic gastritis. A: Prevalence of gastroesophageal reflux disease (GERD) according to the extent of endoscopic atrophic gastritis (EAG); B: Distribution of the severity of GERD according to the extent of EAG. NERD: Non-erosive reflux disease; LA: Los Angeles.

To evaluate the impact of extent of EAG on the severity of GERD, subgroup analysis was performed (Figure 4). Grossly, as extent of EAG advanced, the risk of GERD decreased. This decreased tendency of OR for GERD intensified as the severity of GERD progressed from NERD to LA-B. Because the number of patients with LA-C/D was too small, it was impossible to calculate OR for LA-C/D.

Figure 4
Figure 4 Impact of the extent of endoscopic atrophic gastritis on the risk for severity of gastroesophageal reflux disease. 1Adjusted for age, sex, body mass index, metabolic syndrome, medication of sedatives or hypnotics, alcohol consumption, smoking history, physical activity, dietary factor, and Helicobacter pylori immunoglobulin G. NERD: Non-erosive reflux disease; CI: Confidence interval; OR: Odds ratio; LA: Los Angeles.
Correlation of SAG and GERD

Among 26585 individuals included in this study, 2857 individuals (10.7%) underwent blood examination for pepsinogen test. There were minor and no significant differences in clinical characteristics including the prevalence of GERD between individuals with and without blood examination for pepsinogen test. Among them, 703 patients who underwent H. pylori eradication therapy were excluded and finally 2154 patients were included in the analysis. 358 patients (16.6%) had GERD and the severity of GERD was graded as follows: 78 patients (21.8%) with NERD, 79 patients (22.1%) with LA-M, 154 patients (43.0%) with LA-A, 46 patients (12.8%) with LA-B, and 1 patient (0.3%) with LA-C. Pepsinogen I level showed no significant association with the severity of GERD (P = 0.802). On the other hand, pepsinogen II level was significantly different according to GERD severity (P < 0.001). Post-hoc analysis revealed that LA-A showed significant lower level of pepsinogen II compared with normal group (normal vs LA-A, P < 0.001). In addition, pepsinogen I/II ratio was significantly higher in GERD group compared with normal group (normal vs LA-M, P =0.002; normal vs LA-A, P < 0.001; and normal vs LA-B, P = 0.002). LA-A group also showed significant higher pepsinogen I/II ratio than NERD (NERD vs LA-A, P < 0.001) (Figure 5).

Figure 5
Figure 5 Pepsinogen I, II and I/II ratio according to the severity of gastroesophageal reflux disease. aP < 0.0033 compared to normal; bP < 0.001 compared to non-erosive reflux disease. NERD: Non-erosive reflux disease; LA: Los Angeles.

SAG group showed lower prevalence of GERD than normal group (Figure 6). Total 343 out of 1889 individuals without SAG (18.2%) had GERD, in other hands, 15 out of 265 individuals with SAG (5.7%) had GERD. In the multivariate logistic regression analysis, the risk of GERD was adjusted for age, sex, BMI, metabolic syndrome, medication of sedatives or hypnotics, alcohol intake, smoking history, physical activity, dietary factor, and H. pylori IgG. Presence of SAG was correlated with reduced risk of GERD (OR = 0.49, 95%CI: 0.28-0.87, P = 0.014) (Figure 7).

Figure 6
Figure 6 Prevalence of gastroesophageal reflux disease according to serologic atrophic gastritis. NERD: Non-erosive reflux disease; LA: Los Angeles; SAG: Serologic atrophic gastritis.
Figure 7
Figure 7 Multivariate analysis on the risk for occurrence of gastroesophgeal reflux disease according to serologic atrophic gastritis . 1Adjusted for age, sex, body mass index, metabolic syndrome, medication of sedatives or hypnotics, alcohol consumption, smoking history, physical activity, dietary factor, and Helicobacter pylori immunoglobulin G Ab. NERD: Non-erosive reflux disease; CI: Confidence interval; SAG: Serologic atrophic gastritis; OR: Odds ratio.
DISCUSSION

In this study, we aimed to evaluate the association between atrophic gastritis assessed using endoscopy and the occurrence and severity of GERD adjusting for many confounding variables in a large population of individuals receiving health checkups. As a result, the severity of GERD was inversely correlated with the extent of EAG. After adjusting for several known risk factors for GERD, EAG remained an independent protective factor for the occurrence of GERD. Furthermore, GERD also exhibited a negative association with SAG based on measurements of serum pepsinogen I and II levels. It has been postulated that a decreased acid secretory ability induced by gastric mucosal atrophy lowers the risk of GERD development and progression.

Several previous studies have evaluated the negative association between H. pylori infection and GERD[9-12]. Meanwhile, our study directly focused on atrophic gastritis as a protective factor for GERD, which is a more fundamental and systematic approach to show how H. pylori infection affects GERD. Furthermore, we performed stratified analysis based on the extent of EAG and endoscopic grade of GERD, while previous studies only provided limited information and simplified analyses based on the presence or absence of atrophic gastritis or GERD. We assessed atrophic gastritis using two independent methods: Endoscopy and serology. Both methods showed consistent protective effects of atrophic gastritis on the occurrence of GERD. We graded atrophic gastritis endoscopically, which is a non-invasive and relatively reliable method to evaluate the extent of gastric mucosal atrophy[29-33]. Meanwhile, histology-based assessment of gastric mucosal atrophy requires tissue sampling with biopsy forceps, which may induce complications such as bleeding, pain, and inflammation. Endoscopic diagnosis of atrophic gastritis is intuitive and applicable in daily clinical settings. We also assessed SAG by measuring serum pepsinogen I and II levels. We excluded patients who underwent H. pylori eradication therapy because pepsinogens normalize after successful H. pylori eradication. It would be incorrect to evaluate atrophic gastritis merely by pepsinogens in cases after H. pylori eradication therapy. We found that the risk of GERD decreased as SAG progressed. This suggests that not only endoscopy but also simple blood tests may provide information about the risk and severity of GERD. However, interpretation of our findings requires careful consideration from several aspects. Since GERD can only be diagnosed endoscopically, picking up patients without SAG as GERD high risk would only increase the burden of excessive endoscopy and seems unnecessary. It may be sufficient to recommend endoscopy to patients with GERD-related symptoms. In order to prove the clinical usefulness of serological tests in GERD risk assistance, more research data is needed in future studies.

We investigated a variety of possible risk factors for GERD based on structured questionnaires. According to our study, several factors also influence the occurrence of GERD. Advanced age, the male sex, a high BMI, and the presence of metabolic syndrome were shown to be significant risk factors for GERD. Alcohol consumption and smoking were also associated with an increased GERD risk. A recent meta-analysis revealed that advanced age, a high BMI, a low education level, living in an urban area, current smoking, a low income, the consumption of carbonated drinks, and coffee/tea intake increase the risk of GERD, which is comparable with our results[4].

Interestingly, the seropositivity of H. pylori IgG was negatively correlated with GERD. Several previous studies have revealed that the prevalence of H. pylori infection is significantly lower in patients with GERD[10,11]. It is assumed that chronic inflammation induced by H. pylori results in gastric atrophy, which further decreases the acid secretory capacity of gastric mucosa. Therefore, the distribution and type of gastritis related to H. pylori are more important than the H. pylori infection itself[34]. Antrum-predominant gastritis induces hypergastrinemia and increased acidity; consequently, the risk of GERD increases in patients with antral gastritis[35]. In contrast, in cases of severe corpus gastritis, decreased gastric acid production is considered the main pathogenesis by which H. pylori infection protects against GERD[36]. Based on this, we evaluated the risk of GERD according to the extent of EAG. Interestingly, the risk of GERD was highest in association with C1 and gradually decreased as the extent of EAG progressed. This supports that atrophic gastritis rather than H. pylori infection itself is a key risk factor for GERD.

Our study has several advantages over other studies. First, we defined the extent and severity of atrophic gastritis using endoscopic and serologic methods, which enabled us to evaluate the effect of atrophic gastritis on the occurrence and severity of GERD. Second, we enrolled participants from a health screening cohort that represented the general population. For this reason, there was a minimal risk of selection or referral bias. The subjects were limited to individuals who had no specific disease and underwent regular endoscopic screening, as these conditions facilitated the assessment of the true impact of the disease. Third, high-quality data were obtained based on structured questionnaires and fully computerized electronic medical records, including data on demographics, laboratory examinations, family history, lifestyle factors, and most importantly, disease-specific symptoms. Healthwatch version 2.0, the large database in our center, fully computerizes a broad range of exposures including a comprehensive drug history and makes it possible to control for potential confounders, thereby permitting a less biased estimate of the association.

The interpretation of our findings requires careful consideration from several perspectives. First, the cross-sectional design prevents any conclusions regarding causality among H. pylori infection, atrophic gastritis, and GERD. Second, this study was conducted in subjects at a single healthcare center; therefore, the pool of subjects might represent a relatively high socioeconomic status, and it is possible that the enrolled individuals were more concerned about health. However, this study design is more favorable to other studies performed in tertiary hospitals, and our study population approached the general population. Third, H. pylori infection status was evaluated solely using a serologic test. There was no clinical information available regarding current or past H. pylori infection status in the serologic test. Nevertheless, serology is the most frequently used method for epidemiological research and has been used to predict the prevalence of H. pylori infection in various populations with approved sensitivity and specificity. Fourth, it would be better if we had performed 24-h esophageal pH monitoring tests for the diagnosis of GERD, which is considered the gold-standard method. Twenty-four-hour esophageal pH monitoring tests require specific medical devices, and it is an uncomfortable and time-consuming procedure for patients. At our institute, 24-h esophageal pH monitoring is not generally available in most clinics; thus, the diagnosis of GERD is based on subjective reports of symptoms and endoscopic examination results. Therefore, we believe our data reflect real-world practice. Finally, gastric atrophy was assessed using conventional white-light endoscopy. The diagnostic accuracy of conventional white-light endoscopy is reported to be relatively low compared with that of autofluorescence imaging[37,38].

The primary goal of H. pylori eradication therapy is to improve atrophic gastritis and to reduce carcinogenic risk and associated mortality, and it is clear from previous studies that eradication therapy can reduce cancer deaths[39,40]. Even if eradication therapy is likely to exacerbate the symptoms and clinical course of GERD, it seems clear that eradication treatment should be prioritized over GERD prevention. Another implication of our study is that clinicians should pay attention to asymptomatic patients with atrophic gastritis. Patients with GERD may experience diverse symptoms such as heartburn or acid reflux; therefore, they might have a high chance of visiting clinics to manage the symptoms and undergo thorough testing, such as upper GI endoscopy. However, patients with severe atrophic gastritis, even with a higher risk of gastric cancer[8,30], have a lower risk of developing GERD. These individuals are less likely to visit a medical center on their own because they are free of GERD-related symptoms. Therefore, it is important to perform screening endoscopy in individuals without symptoms, especially in cases of extended EAG or SAG presented in previous examinations. Furthermore, if a patient with severe EAG complains of GERD-related symptoms such as heartburn or acid reflux, the possibility of other upper GI diseases including non-acid reflux or esophageal hypersensitivity should be considered because GERD is rarely accompanied by severe gastric atrophy. In the present patient, we considered a different approach than the routine prescrip-tion of PPIs.

Our findings must be confirmed through prospective clinical trials. The acid secretory activity of the gastric mucosa according to H. pylori status and extent of EAG should be further evaluated to determine the pathogenesis of GERD. In addition, an analysis of gastroesophageal motility based on H. pylori status and the extent of EAG would provide a better understanding of the mechanisms of GERD. Moreover, long-term interventional studies examining the effect of treating H. pylori infection on esophageal disease will provide clear information on which to base clinical decisions.

CONCLUSION

In summary, we found that the extent of EAG and SAG had strong inverse relationships with the occurrence and severity of GERD in a large sample of the Korean population after adjusting for multiple confounding factors. These data support the hypothesis that atrophic gastritis followed by H. pylori infection is an independent protective factor against GERD. As the number of patients with gastric atrophy may decrease based on the reduced H. pylori infection rate and broad application of H. pylori eradication therapy, the prevalence of GERD may increase. Appropriate diagnosis and treatment strategies are required based on the endoscopic findings and symptoms of patients.

ARTICLE HIGHLIGHTS
Research background

Helicobacter pylori (H. pylori) infection is known to prevent the occurrence of gastroesophageal reflux disease (GERD) by inducing gastric mucosal atrophy. However, little is known about the relationship between atrophic gastritis (AG) and GERD.

Research motivation

Our study directly focused on AG as a protective factor of GERD, which was more fundamental and systematic approach to show how H. pylori infection affects GERD.

Research objectives

We aimed to confirm the inverse correlation between AG and the occurrence and severity of GERD.

Research methods

We assessed AG in two independent methods, endoscopy and serology, furthermore, investigated variety of possible risk factors for GERD based on laboratory examination and structured questionnaires.

Research results

Advanced age, male sex, body mass index > 23 kg/m2, presence of metabolic synd-rome, current smoking, and alcohol consumption were associated with an increased risk of GERD. Seropositivity for H. pylori immunoglobulin G antibodies was associated with a decreased risk of GERD. There was an inverse correlation between the extent of endoscopic AG (EAG) and occurrence of GERD. Additionally, the extent of EAG showed an inverse correlation with the severity of GERD. The presence of serologic AG (SAG) was correlated with a reduced risk of GERD.

Research conclusions

The extent of EAG and SAG exhibited strong inverse relationships with the occurrence and severity of GERD. AG followed by H. pylori infection may be independently protect against GERD.

Research perspectives

As the Kimura-Takemoto visual endoscopic method used in our study might be subjective, it would be better to continue further study using the endoscopic morphological method - Updated Kimura-Takemoto classification of AG. Furthermore, to clarify the causality between AG and GERD, prospective studies are warranted to follow how the prevalence and severity of GERD change according to the progression or regression of AG.

ACKNOWLEDGEMENTS

The authors appreciate Gu-Cheol, Jung (Researcher, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea) for his excellent statistical assistance.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Gastroenterology and hepatology

Country/Territory of origin: South Korea

Peer-review report’s scientific quality classification

Grade A (Excellent): A

Grade B (Very good): B

Grade C (Good): C

Grade D (Fair): D

Grade E (Poor): 0

P-Reviewer: Hirai R, Kishikawa H, Kotelevets SM S-Editor: Wang JJ L-Editor: A P-Editor: Wang JJ

References
1.  Vakil N, van Zanten SV, Kahrilas P, Dent J, Jones R; Global Consensus Group. The Montreal definition and classification of gastroesophageal reflux disease: a global evidence-based consensus. Am J Gastroenterol. 2006;101:1900-20; quiz 1943.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2368]  [Cited by in F6Publishing: 2224]  [Article Influence: 123.6]  [Reference Citation Analysis (2)]
2.  Kim N, Lee SW, Cho SI, Park CG, Yang CH, Kim HS, Rew JS, Moon JS, Kim S, Park SH, Jung HC, Chung IS; H. pylori and Gerd Study Group of Korean College of Helicobacter and Upper Gastrointestinal Research. The prevalence of and risk factors for erosive oesophagitis and non-erosive reflux disease: a nationwide multicentre prospective study in Korea. Aliment Pharmacol Ther. 2008;27:173-185.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 123]  [Cited by in F6Publishing: 114]  [Article Influence: 7.1]  [Reference Citation Analysis (0)]
3.  El-Serag HB, Sweet S, Winchester CC, Dent J. Update on the epidemiology of gastro-oesophageal reflux disease: a systematic review. Gut. 2014;63:871-880.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1057]  [Cited by in F6Publishing: 1077]  [Article Influence: 107.7]  [Reference Citation Analysis (1)]
4.  Nirwan JS, Hasan SS, Babar ZU, Conway BR, Ghori MU. Global Prevalence and Risk Factors of Gastro-oesophageal Reflux Disease (GORD): Systematic Review with Meta-analysis. Sci Rep. 2020;10:5814.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 42]  [Cited by in F6Publishing: 93]  [Article Influence: 23.3]  [Reference Citation Analysis (0)]
5.  Youn YH, Kang YW, Ahn SH, Park SK. Prevalence alteration of reflux esophagitis in recent years. Korean J Gastrointest Endosc. 2001;23 (3):144-148.  [PubMed]  [DOI]  [Cited in This Article: ]
6.  El-Serag H. The association between obesity and GERD: a review of the epidemiological evidence. Dig Dis Sci. 2008;53:2307-2312.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 173]  [Cited by in F6Publishing: 168]  [Article Influence: 10.5]  [Reference Citation Analysis (0)]
7.  Chung SJ, Kim D, Park MJ, Kim YS, Kim JS, Jung HC, Song IS. Metabolic syndrome and visceral obesity as risk factors for reflux oesophagitis: a cross-sectional case-control study of 7078 Koreans undergoing health check-ups. Gut. 2008;57:1360-1365.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 166]  [Cited by in F6Publishing: 169]  [Article Influence: 10.6]  [Reference Citation Analysis (0)]
8.  Friedenberg FK, Xanthopoulos M, Foster GD, Richter JE. The association between gastroesophageal reflux disease and obesity. Am J Gastroenterol. 2008;103:2111-2122.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 137]  [Cited by in F6Publishing: 132]  [Article Influence: 8.3]  [Reference Citation Analysis (0)]
9.  Koike T, Ohara S, Sekine H, Iijima K, Kato K, Shimosegawa T, Toyota T. Helicobacter pylori infection inhibits reflux esophagitis by inducing atrophic gastritis. Am J Gastroenterol. 1999;94:3468-3472.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 77]  [Cited by in F6Publishing: 82]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
10.  Chung SJ, Lim SH, Choi J, Kim D, Kim YS, Park MJ, Yim JY, Kim JS, Cho SH, Jung HC, Song IS. Helicobacter pylori Serology Inversely Correlated With the Risk and Severity of Reflux Esophagitis in Helicobacter pylori Endemic Area: A Matched Case-Control Study of 5,616 Health Check-Up Koreans. J Neurogastroenterol Motil. 2011;17:267-273.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 36]  [Cited by in F6Publishing: 35]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
11.  Raghunath A, Hungin AP, Wooff D, Childs S. Prevalence of Helicobacter pylori in patients with gastro-oesophageal reflux disease: systematic review. BMJ. 2003;326:737.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 231]  [Cited by in F6Publishing: 242]  [Article Influence: 11.5]  [Reference Citation Analysis (0)]
12.  Kandulski A, Malfertheiner P. Helicobacter pylori and gastroesophageal reflux disease. Curr Opin Gastroenterol. 2014;30:402-407.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 27]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
13.  Nam SY, Choi IJ, Ryu KH, Kim BC, Kim CG, Nam BH. Effect of Helicobacter pylori infection and its eradication on reflux esophagitis and reflux symptoms. Am J Gastroenterol. 2010;105:2153-2162.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 51]  [Cited by in F6Publishing: 55]  [Article Influence: 3.9]  [Reference Citation Analysis (0)]
14.  Queiroz DM, Rocha GA, Oliveira CA, Rocha AM, Santos A, Cabral MM, Nogueira AM. Role of corpus gastritis and cagA-positive Helicobacter pylori infection in reflux esophagitis. J Clin Microbiol. 2002;40:2849-2853.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 21]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
15.  Hamashima C, Sasazuki S, Inoue M, Tsugane S; JPHC Study Group. Receiver operating characteristic analysis of prediction for gastric cancer development using serum pepsinogen and Helicobacter pylori antibody tests. BMC Cancer. 2017;17:183.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 15]  [Cited by in F6Publishing: 16]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
16.  Kwon JH, Chung IS, Son HS, Park JM, Cho YK, Lee IS, Kim SW, Choi MG. [The relationship of gastrin, pepsinogen, and Helicobacter pylori in erosive reflux esophagitis]. Korean J Gastroenterol. 2008;51:159-166.  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Enomoto S, Oka M, Ohata H, Mukoubayashi C, Watanabe M, Moribata K, Muraki Y, Shingaki N, Deguchi H, Ueda K, Inoue I, Maekita T, Iguchi M, Yanaoka K, Tamai H, Fujishiro M, Mohara O, Ichinose M. Assessment of gastroesophageal reflux disease by serodiagnosis of Helicobacter pylori-related chronic gastritis stage. World J Gastrointest Endosc. 2011;3:71-77.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 3]  [Cited by in F6Publishing: 4]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
18.  Kimura K, Takemoto T. An endoscopic recognition of the atrophic border and its significance in chronic gastritis. Endoscopy. 1969;1:87-97.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 612]  [Cited by in F6Publishing: 314]  [Article Influence: 19.6]  [Reference Citation Analysis (3)]
19.  Tytgat GN. The Sydney System: endoscopic division. Endoscopic appearances in gastritis/duodenitis. J Gastroenterol Hepatol. 1991;6:223-234.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 143]  [Cited by in F6Publishing: 145]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
20.  Kim DH, Kim GH, Kim JY, Cho HS, Park CW, Lee SM, Kim TO, Kang DH, Song GA. Endoscopic grading of atrophic gastritis is inversely associated with gastroesophageal reflux and gastropharyngeal reflux. Korean J Intern Med. 2007;22:231-236.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 8]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]
21.  Kim GH, Song GA, Kim TO, Jo HJ, Kim DH, Heo J, Cho M, Kang DH. Endoscopic grading of gastroesophageal flap valve and atrophic gastritis is helpful to predict gastroesophageal reflux. J Gastroenterol Hepatol. 2008;23:208-214.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 15]  [Cited by in F6Publishing: 17]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
22.  Fujiwara Y, Higuchi K, Shiba M, Watanabe T, Tominaga K, Oshitani N, Matsumoto T, Arakawa T. Association between gastroesophageal flap valve, reflux esophagitis, Barrett's epithelium, and atrophic gastritis assessed by endoscopy in Japanese patients. J Gastroenterol. 2003;38:533-539.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 45]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
23.  Kim TS, Park DI, Park JH, Kim HJ, Cho YK, Sohn CI, Jeon WK, Kim BI, Chae SW, Kim DH. Association between atrophic gastritis and gastroesophageal reflux symptoms. Hepatogastroenterology. 2013;60:1583-1587.  [PubMed]  [DOI]  [Cited in This Article: ]
24.  Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i-xii, 1.  [PubMed]  [DOI]  [Cited in This Article: ]
25.  World Health Organization  The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia, 2000: 15-17.  [PubMed]  [DOI]  [Cited in This Article: ]
26.  Lorenzo C, Williams K, Hunt KJ, Haffner SM. The National Cholesterol Education Program - Adult Treatment Panel III, International Diabetes Federation, and World Health Organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes. Diabetes Care. 2007;30:8-13.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 419]  [Cited by in F6Publishing: 391]  [Article Influence: 23.0]  [Reference Citation Analysis (0)]
27.  Miwa H, Yokoyama T, Hori K, Sakagami T, Oshima T, Tomita T, Fujiwara Y, Saita H, Itou T, Ogawa H, Nakamura Y, Kishi K, Murayama Y, Hayashi E, Kobayashi K, Tano N, Matsushita K, Kawamoto H, Sawada Y, Ohkawa A, Arai E, Nagao K, Hamamoto N, Sugiyasu Y, Sugimoto K, Hara H, Tanimura M, Honda Y, Isozaki K, Noda S, Kubota S, Himeno S. Interobserver agreement in endoscopic evaluation of reflux esophagitis using a modified Los Angeles classification incorporating grades N and M: a validation study in a cohort of Japanese endoscopists. Dis Esophagus. 2008;21:355-363.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 57]  [Cited by in F6Publishing: 60]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
28.  Lundell LR, Dent J, Bennett JR, Blum AL, Armstrong D, Galmiche JP, Johnson F, Hongo M, Richter JE, Spechler SJ, Tytgat GN, Wallin L. Endoscopic assessment of oesophagitis: clinical and functional correlates and further validation of the Los Angeles classification. Gut. 1999;45:172-180.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1518]  [Cited by in F6Publishing: 1521]  [Article Influence: 60.8]  [Reference Citation Analysis (1)]
29.  Liu Y, Uemura N, Xiao SD, Tytgat GN, Kate FJ. Agreement between endoscopic and histological gastric atrophy scores. J Gastroenterol. 2005;40:123-127.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 37]  [Cited by in F6Publishing: 38]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
30.  Jin EH, Chung SJ, Lim JH, Chung GE, Lee C, Yang JI, Kim JS. Training Effect on the Inter-observer Agreement in Endoscopic Diagnosis and Grading of Atrophic Gastritis according to Level of Endoscopic Experience. J Korean Med Sci. 2018;33:e117.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 15]  [Cited by in F6Publishing: 14]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
31.  Lee JY, Kim N, Lee HS, Oh JC, Kwon YH, Choi YJ, Yoon KC, Hwang JJ, Lee HJ, Lee A, Jeong Y, Jo HJ, Yoon H, Shin CM, Park YS, Lee DH. Correlations among endoscopic, histologic and serologic diagnoses for the assessment of atrophic gastritis. J Cancer Prev. 2014;19:47-55.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 40]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
32.  Takao T, Ishikawa T, Ando T, Takao M, Matsumoto T, Isozaki Y, Okita M, Nagao Y, Oyamada H, Yokoyama K, Tatebe A, Uchiyama K, Handa O, Takagi T, Yagi N, Kokura S, Naito Y, Yoshikawa T. Multifaceted Assessment of Chronic Gastritis: A Study of Correlations between Serological, Endoscopic, and Histological Diagnostics. Gastroenterol Res Pract. 2011;2011:631461.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 11]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
33.  Lee SY. Endoscopic gastritis, serum pepsinogen assay, and Helicobacter pylori infection. Korean J Intern Med. 2016;31:835-844.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 33]  [Article Influence: 4.1]  [Reference Citation Analysis (0)]
34.  Yucel O. Interactions between Helicobacter pylori and gastroesophageal reflux disease. Esophagus. 2019;16:52-62.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
35.  Graham DY, Yamaoka Y. H. pylori and cagA: relationships with gastric cancer, duodenal ulcer, and reflux esophagitis and its complications. Helicobacter. 1998;3:145-151.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 118]  [Cited by in F6Publishing: 128]  [Article Influence: 4.9]  [Reference Citation Analysis (0)]
36.  Ghoshal UC, Chourasia D. Gastroesophageal Reflux Disease and Helicobacter pylori: What May Be the Relationship? J Neurogastroenterol Motil. 2010;16:243-250.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 33]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
37.  Kanzaki H, Uedo N, Ishihara R, Nagai K, Matsui F, Ohta T, Hanafusa M, Hanaoka N, Takeuchi Y, Higashino K, Iishi H, Tomita Y, Tatsuta M, Yamamoto K. Comprehensive investigation of areae gastricae pattern in gastric corpus using magnifying narrow band imaging endoscopy in patients with chronic atrophic fundic gastritis. Helicobacter. 2012;17:224-231.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 29]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
38.  Buxbaum JL, Hormozdi D, Dinis-Ribeiro M, Lane C, Dias-Silva D, Sahakian A, Jayaram P, Pimentel-Nunes P, Shue D, Pepper M, Cho D, Laine L. Narrow-band imaging versus white light versus mapping biopsy for gastric intestinal metaplasia: a prospective blinded trial. Gastrointest Endosc. 2017;86:857-865.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 46]  [Cited by in F6Publishing: 48]  [Article Influence: 6.9]  [Reference Citation Analysis (0)]
39.  Li WQ, Zhang JY, Ma JL, Li ZX, Zhang L, Zhang Y, Guo Y, Zhou T, Li JY, Shen L, Liu WD, Han ZX, Blot WJ, Gail MH, Pan KF, You WC. Effects of Helicobacter pylori treatment and vitamin and garlic supplementation on gastric cancer incidence and mortality: follow-up of a randomized intervention trial. BMJ. 2019;366:l5016.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 97]  [Cited by in F6Publishing: 124]  [Article Influence: 24.8]  [Reference Citation Analysis (0)]
40.  Take S, Mizuno M, Ishiki K, Kusumoto C, Imada T, Hamada F, Yoshida T, Yokota K, Mitsuhashi T, Okada H. Risk of gastric cancer in the second decade of follow-up after Helicobacter pylori eradication. J Gastroenterol. 2020;55:281-288.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 48]  [Cited by in F6Publishing: 48]  [Article Influence: 12.0]  [Reference Citation Analysis (0)]