scholarly journals Red Meat Intake and Risk of Rheumatoid Arthritis: A Categorical and Dose-Response Meta-Analysis

Author(s):  
WeiWei Chen ◽  
Ke Liu ◽  
Qing Su ◽  
Xinxian Sang ◽  
Yihan Hu ◽  
...  

Abstract Objective: Findings from previous observational studies on the association between red meat intake and risk of rheumatoid arthritis (RA) are inconsistent. Therefore, we aimed to evaluate the impact of red meat intake on the incidence of RA by meta-analysis.Methods: PubMed and Web of Science were searched for eligible observational studies regarding the association between red meat intake and the risk of RA until June 30, 2021. Risk estimates with corresponding 95% confidence interval (95% CI) were pooled. Subgroup analysis and meta-regression analysis were performed to explore the potential sources of heterogeneity. Sensitivity analysis and publication bias test were also carried out.Results: A total of eleven studies were selected, involving 4 cohort studies with 5 203 identified cases from 349 776 individuals and 7 case-control studies with 3 762 cases and 6 856 controls. The pooled risk estimate of RA risk was 0.94 (95% CI: 0.77 to 1.15) for ever versus non/occasional red meat intake, while high dose of red meat intake increased the risk of RA (OR: 1.26, 95% CI: 1.07 to 1.50) in the categorical meta-analysis. Dose-response meta-analysis suggested a non-linear dose-response relationship between red meat intake and RA (P=0.028). Red meat intake was found to be a risk factor of RA when the dose ranged from 96 to 166 g/day.Conclusion: High dose of red meat intake could increase the risk of RA. Mechanistic studies are warranted to clarify the aetiologic pathways through which high dose of red meat intake may promote RA.

2017 ◽  
Vol 43 (9) ◽  
pp. 1428-1440 ◽  
Author(s):  
Lei Ren ◽  
Peng Guo ◽  
Qiao-Mei Sun ◽  
Hong Liu ◽  
Yu Chen ◽  
...  

2017 ◽  
Vol 20 (17) ◽  
pp. 3183-3192 ◽  
Author(s):  
Yanhong Huang ◽  
Hongru Chen ◽  
Liang Zhou ◽  
Gaoming Li ◽  
Dali Yi ◽  
...  

AbstractObjectiveTo examine and quantify the potential dose–response relationship between green tea intake and the risk of gastric cancer.DesignWe searched PubMed, EMBASE, Web of Science, CBM, CNKI and VIP up to December 2015 without language restrictions.SettingA systematic review and dose–response meta-analysis of observational studies.SubjectsFive cohort studies and eight case–control studies.ResultsCompared with the lowest level of green tea intake, the pooled relative risk (95 % CI) of gastric cancer was 1·05 (0·90, 1·21, I2=20·3 %) for the cohort studies and the pooled OR (95 % CI) was 0·84 (0·74, 0·95, I2=48·3 %) for the case–control studies. The pooled relative risk of gastric cancer was 0·79 (0·63, 0·97, I2=63·8 %) for intake of 6 cups green tea/d, 0·59 (0·42, 0·82, I2=1·0 %) for 25 years of green tea intake and 7·60 (1·67, 34·60, I2=86·5 %) for drinking very hot green tea.ConclusionsDrinking green tea has a certain preventive effect on reducing the risk of gastric cancer, particularly for long-term and high-dose consumption. Drinking too high-temperature green tea may increase the risk of gastric cancer, but it is still unclear whether high-temperature green tea is a risk factor for gastric cancer. Further studies should be performed to obtain more detailed results, including other gastric cancer risk factors such as smoking and alcohol consumption and the dose of the effective components in green tea, to provide more reliable evidence-based medical references for the relationship between green tea and gastric cancer.


2015 ◽  
Vol 15 (23) ◽  
pp. 10421-10425 ◽  
Author(s):  
Hosein Fallahzadeh ◽  
Maria Cheraghi ◽  
Neda Amoori ◽  
Mehrangiz Alaf

2021 ◽  
Vol 8 ◽  
Author(s):  
Peng Miao ◽  
Lin Guan

Background: Many case–control studies have investigated the association between dietary cholesterol and gastric cancer, yielding inconsistent findings. We carried out a systematic review and meta-analysis of observational studies to assess the relationship between dietary cholesterol intake and gastric cancer among adults.Methods: PubMed, Scopus, and Google Scholar were systematically searched to identify articles that evaluated the association of dietary cholesterol with gastric cancer up to May 2021. Pooled odds ratio (ORs) and 95% confidence intervals (CIs) were computed using random-effects models. Dose–response analysis was used to explore the shape and strength of the association.Results: Fourteen case–control studies with 6,490 gastric cancer patients and 17,793 controls met our inclusion criteria. In the meta-analysis of the highest vs. the lowest dietary cholesterol categories, a significantly higher (~35%) risk of gastric cancer was observed in association with high cholesterol consumption (pooled OR: 1.35, 95% CI: 1.29–1.62, I2 = 68%; 95%CI: 45–81%). Subgroup analysis also showed this positive relationship in population-based case–control studies, those conducted on non-US countries, those with a higher number of cases and high-quality studies, those that collected dietary data via interviews, studies not adjusted for Helicobacter pylori infection, and studies where the body mass index was controlled. Besides, a non-linear dose–response association was also identified (P = 0.03).Conclusion: This study demonstrated that dietary cholesterol intake could significantly augment the risk of gastric cancer in case–control studies. Prospective cohort studies with large sample sizes and long durations of follow-up are required to verify our results.


2021 ◽  
Vol 9 (8) ◽  
pp. 1739
Author(s):  
Judith Kim ◽  
Minyi Lee ◽  
Brittany Baldwin-Hunter ◽  
Quinn S. Solfisburg ◽  
Charles J. Lightdale ◽  
...  

Background: Increasing evidence points to the esophageal microbiome as an important co-factor in esophageal neoplasia. Esophageal microbiome composition is strongly influenced by the oral microbiome. Salivary microbiome assessment has emerged as a potential non-invasive tool to identify patients at risk for esophageal cancer, but key host and environmental factors that may affect the salivary microbiome have not been well-defined. This study aimed to evaluate the impact of short-term dietary intake on salivary microbiome composition. Methods: Saliva samples were collected from 69 subjects prior to upper endoscopy who completed the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment. Salivary microbiome composition was determined using 16S rRNA amplicon sequencing. Results: There was no significant correlation between alpha diversity and primary measures of short-term dietary intake (total daily calories, fat, fiber, fruit/vegetables, red meat intake, and fasting time). There was no evidence of clustering on beta diversity analyses. Very few taxonomic alterations were found for short-term dietary intake; an increased relative abundance of Neisseria oralis and Lautropia sp. was associated with high fruit and vegetable intake, and an increased relative abundance of a taxon in the family Gemellaceae was associated with increased red meat intake. Conclusions: Short-term dietary intake was associated with only minimal salivary microbiome alterations and does not appear to have a major impact on the potential use of the salivary microbiome as a biomarker for esophageal neoplasia.


2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S427-S427
Author(s):  
Doaa Aljefri ◽  
Sean Avedissian ◽  
Nathaniel J Rhodes ◽  
Michael Postelnick ◽  
Marc H Scheetz

Abstract Background Recent studies have proposed monitoring vancomycin area under the curve (AUC) as a more precise method of attaining goal exposures compared with trough monitoring. Different dosing methods and different exposure-toxicity thresholds have been proposed. Therefore, we aimed to analyze the relationship between vancomycin AUC and nephrotoxicity reported across recent studies. Methods A systematic review of Pubmed, Medline, Scopus and compiled references was conducted. We included randomized, cohorts and case–control studies that reported vancomycin AUCs and risk of nephrotoxicity from (January 1, 1990 to January 31, 2018). The primary outcome was nephrotoxicity, defined as an increase in serum creatinine of ≥0.5 mg/L or a 50% increase from baseline on two or more consecutive measurements. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated. Subset analyses were conducted when possible on the impact of AUC0-24 hours and AUC24-48 hoursr exposures and AUC vs. trough guided dosing on the outcome of nephrotoxicity. AUC nephrotoxicity thresholds ranged between 550 and 700 mg hour/L. We grouped values according to lower (i.e., <650) or higher average AUC, with a threshold value of ≥650 mg hour/L defining higher AUC based on a recent prospective trial. Results We identified eight eligible observational studies with a total of 2,491 patients. Of those, five studies reported AUC0-24 associated with nephrotoxicity, two studies reported AUC24-48, and two studies reported nephrotoxicity associated with AUC vs. trough-guided dosing. No RCTs were identified. Lower AUC0-24 values were associated with significantly reduced risk of nephrotoxicity (OR 0.36, 95% CI 0.23–0.56). In a sub-analysis of two studies, AUC24-48<650 mg hour/L was associated with significantly lower risk of nephrotoxicity (OR 0.45, 95% CI 0.27–0.75). Nephrotoxicity associated with AUC-guided dosing was significantly lower than trough-guided dosing (OR 0.68, 95% CI 0.46–0.99). Conclusion This meta-analysis suggests that AUC0-24 lower than 650 mg hour/L may result in a decreased risk of nephrotoxicity. AUC-guided vancomycin dosing may result in less vancomycin-associated nephrotoxicity. Additional investigations into the benefit of AUC-guided dosing are warranted. Disclosures All authors: No reported disclosures.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jiayang Jin ◽  
Jing Li ◽  
Yuzhou Gan ◽  
Jiajia Liu ◽  
Xiaozhen Zhao ◽  
...  

AbstractAccumulating evidence has implicated dietary factors as important risks for rheumatoid arthritis (RA) development, but analyses of the effects of red meat consumption on RA have yielded diverging results. The aim of this study was to explore the association between red meat and RA in a large-scale, cross-sectional study. From June to December 2016, a total of 733 patients were investigated, from which 707 participants were included in the analysis. These patients were divided into two groups according to their consumption of red meat (< 100 g/day; ≥ 100 g/day). The intake of red meat was assessed via physician-administered questionnaire. Generalized linear models were used to analyze relationships between the red meat intake and RA, adjusting for potential confounders including demographic, clinical, laboratory, and other dietary factors. Compared with low-intake red meat RA patients, high-intake red meat patients had an earlier onset age (p = 0.02) and had higher BMI (p = 0.003). The age at disease onset for the high-intake patients was 6.46 years earlier than for low-intake patients, after adjustment for demographic and other possible confounders (β = − 6.46, 95% CI − 9.77, − 3.15; p = 0.0001). Further, stratified analyses showed that this inverse association of red meat intake with RA onset age was especially evident in smokers and overweight patients (BMI ≥ 24 kg/m2). In conclusion, high-intake red meat is associated with early onset of RA, especially in smokers or overweight patients. The findings indicate that eating less red meat could be a recommendation given to patients at risk for RA development.


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