Risk factors for esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional study

Niu, Chen; Liu, Yong; Wang, Jialin; Liu, Yuqin; Zhang, Shaokai; Zhāng, Yǒng-Zhèn; Zhang, Liwei; Zhao, Di; Liu, Fugang; Chao, Lina; Wang, Xinzheng; Zhang, Chunli; Song, Gonghua; Zhang, Zhiyi; Li, Youpeng; Zheng, Yan; Wen, Yongxiu; Ge, Yinyin; Zang, Zhaoping; Feng, Wei; Zhang, Haiping; Tao, Lixin; Nakyeyune, Rena; Shen, Yi; Shao, Yi; Guo, Xiuhua; Miles, Toni P.; Yang, Aiming; Liu, Fen; Wang, Guiqi

doi:10.1186/s12885-021-08764-x

Cited by 19 publications

(17 citation statements)

References 35 publications

(49 reference statements)

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“…20 A high intake of meat, hot foods and beverages, and salty foods may increase the risk of EC, whereas an increased consumption of plant foods may decrease the risk of EC. 21,22 A high intake of vegetables and fruits may be of particular benefit in this context, 23 because both are abundant in folate, vitamin C, and polyphenols which may exert favorable effects on EC risk. 24,25 The composition of diet may also influence the body's acid-base balance 26 and a regular consumption of acidogenic dietary components may increase dietary acid load (DAL), which has been closely linked to chronic low-grade inflammation and subsequent cell transformation.…”

Section: Introductionmentioning

confidence: 99%

Dietary acid load and esophageal cancer risk: A case‐control study

et al. 2022

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Background: A high dietary acid load (DAL) can produce metabolic acidosis, which is linked to cancer development through mechanisms of inflammation and cell transformation. There is limited epidemiological evidence linking DAL and cancer risk; however, none of the published studies focused on DAL and esophageal cancer (EC) risk in particular. Therefore, we sought to explore this association in the present study. Methods: A case-control study was performed in 1295 male patients (185 squamous cell EC cases and 1110 age-frequency and urban/rural residence matched controls) through a multitopic inquiry, including a food frequency questionnaire. Food-derived nutrients were calculated from available databases. The DAL was calculated based on two validated measures: Potential renal acid load (PRAL) score and net endogenous acid production (NEAP) score. Odds ratios (OR) and their 95% confidence intervals (95% CI) were estimated by unconditional logistic regression, adjusting for confounders. Results: We found direct, significant associations between dietary acid load and EC risk: (OR = 2.28, 95% CI: 1.44-3.61, ptrend <0.0001) and (OR = 2.17, 95% CI: 1.38-3.41, ptrend <0.0001) for highest PRAL and NEAP tertiles, respectively. Our data raise the possibility that a high DAL may contribute to EC development. Both acid load scores were directly associated with animal-based foods (mainly meat) and inversely associated with the intake of plant-based foods. Conclusion:To the best of our knowledge, this is the first epidemiological casecontrol study analyzing associations of DAL and squamous cell EC risk. Further research is warranted to confirm our findings.

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Section: Introductionmentioning

confidence: 99%

Dietary acid load and esophageal cancer risk: A case‐control study

et al. 2022

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“…Other studies 30 used maternal blood serum and diet as markers of prenatal exposure and children’s serum as indicators of post-natal exposure. The data source for ALRI/URI includes the use of questionnaires 9 - 12 , 14 , 15 , 25 , 26 , 29 - 32 or medical records. 26 , 33 Due to cultural beliefs and community perception related to blood sampling, the current study sampled urine.…”

Section: Discussionmentioning

confidence: 99%

“…The district is made up of 17 small and 3 large farming communities. 11 , 12 The communities are socio-culturally and economically homogenous. The population of the North Offinso district is 83 440 of which about 32 210 live in Akumadan, Nkenkenson, and Afrancho.…”

Section: Methodsmentioning

confidence: 99%

“… 10 The short and long-term adverse health outcomes among adults following the use of these pesticides are well documented. 11 - 13 However, evidence linking chemical pesticides exposures to ALRIs in children under 5 years of age remains equivocal. Dallaire et al 14 investigated the effect of prenatal exposure to pesticides on the incidence of acute infections in Inuit infants.…”

Section: Introductionmentioning

confidence: 99%

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Urinary Pesticide Residual Levels and Acute Respiratory Infections in Children Under 5 Years of Age: Findings From the Offinso North Farm Health Study

Akyeampong

Bend

Luginaah

et al. 2022

Environ�Health�Insights

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Background: Several environmental factors are associated with the risk of acute lower respiratory infections (ALRIs) and upper respiratory infections (URIs) in children under 5 years of age (YOA). Evidence implicating chemical pesticides remains equivocal. There are also no data on this subject in these children in Ghana. This study investigated the association between urinary pesticide residual levels and the risk for ALRIs/URIs in children under 5 YOA. Methods: The participants for this study were from the Offinso North Farm Health Study, a population-based cross-sectional study. Two hundred and fifty four parents/guardians who had answered affirmatively to the question “Has your child ever accompanied you to the farm?” were interviewed on household socio-demographic and environmental factors, being breastfed, child education, age, gender, and respiratory infection. One hundred fifty children were randomly selected to provide the first void urine. Results: The proportion of children with ALRI was 22.1% and those with URI was 35.8%. We observed a statistically significant exposure-response relation of p,p′-DDE (tertile) with ALRI (1.7-3.2 µg/L urine: prevalence ratio [PR] = 1.22 [1.05-1.70], ⩾3.2 µg/L urine: 1.50 [1.07-3.53] [ P-for trend = .0297]). This observation was in children older than two YOA ( P-for trend = .0404). Delta-HCH and beta-HCH (2-levels) were significantly associated with ALRI but not URI. The risk of ALRI increased with deltamethrin levels in an exposure-response manner (2.5-9.5 µg/L urine: 2.10 [1.37-3.24], ⩾9.5 µg/L urine: 4.38 [1.87-10.32] [ P-for trend = .0011]) and this was also observed in children older than two YOA. Similar observation was noted for URI. Bifenthrin (>0.5 µg/L urine) was positively associated with ALRI and URI whereas permethrin (⩾1.2 µg/L urine) was not associated only with URI. Conclusions: The present study supports the hypothesis that exposure to chemical pesticides is associated with respiratory infections in children under 5 YOA.

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“…In recent years, the development of artificial intelligence (AI) has allowed NBI examinations to be further optimized, and AI model relying on convolutional neural network (CNN) can precisely identify NBI endoscopic images of cancer patients and improve the diagnostic efficiency of NBI [ 9 ]. The diagnostic value of the current AI model in gastrointestinal malignancies, such as colorectal cancer and gastric cancer, has been confirmed by literature at home and abroad [ 10 ], and Tan et al reported that the CNN-based AI model had a sensitivity of 90.12% and a specificity of 91.53% for the interpretation of NBI endoscopy in patients with laryngeal cancer [ 11 ], with exact application value.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of Digestive Endoscope Based on Artificial Intelligence System in Diagnosing Early Esophageal Carcinoma

Zhao

Liu

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. To explore the efficacy of digestive endoscopy (DEN) based on artificial intelligence (AI) system in diagnosing early esophageal carcinoma. Methods. The clinical data of 300 patients with suspected esophageal carcinoma treated in our hospital from January 2018 to January 2020 were retrospectively analyzed; among them, 198 were diagnosed with esophageal carcinoma after pathological examination, and 102 had benign esophageal lesion. An AI system based on convolutional neural network (CNN) was adopted to assess the DEN images of patients with early esophageal carcinoma. A total of 200 patients (148 with early esophageal carcinoma and 52 with benign esophageal lesion) were selected as the learning group for the Inception V3 image classification system to learn; and the rest 100 patients (50 with early esophageal carcinoma and 50 with benign esophageal lesion) were included in the diagnosis group for the Inception V3 system to assist the narrow-band imaging (NBI) with diagnosis. The diagnosis results from Inception V3-assisted NBI were compared with those from imaging physicians, and the diagnostic efficacy diagram was drawn. Results. The diagnosis rate of AI-NBI was significantly faster than that of physician diagnosis ( 0.02 ± 0.01 vs. 5.65 ± 0.32 s (mean rate of two physicians), P < 0.001 ); between AI-NBI diagnosis and physician diagnosis, no statistical differences in sensitivity (90.0% vs. 92.0%), specificity (92.0% vs. 94.0%), and accuracy (91.0% vs. 93.0%) were observed ( P > 0.05 ); and according to the ROC curves, AUC (95% CI) of AI-NBI diagnosis = 0.910 (0.845-0.975), and AUC (95% CI) of physician diagnosis = 0.930 (0.872-0.988). Conclusion. CNN-based AI system can assist NBI in screening early esophageal carcinoma, which has a good application prospect in the clinical diagnosis of early esophageal carcinoma.

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Risk factors for esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional study

Cited by 19 publications

References 35 publications

Dietary acid load and esophageal cancer risk: A case‐control study

Dietary acid load and esophageal cancer risk: A case‐control study

Urinary Pesticide Residual Levels and Acute Respiratory Infections in Children Under 5 Years of Age: Findings From the Offinso North Farm Health Study

Efficacy of Digestive Endoscope Based on Artificial Intelligence System in Diagnosing Early Esophageal Carcinoma

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