RESUMEN
OBJECTIVES: General practitioners (GPs) must assess significant bowel disease (SBD) in patients with lower bowel symptoms during primary care. Studies have evaluated the efficacy of fecal immunochemical testing (FIT) for SBD screening. However, the effectiveness of FIT remains controversial. This study aimed to investigate the value of FIT in SBD screening. METHODS: PubMed, the Cochrane Database, and EMBASE were systematically searched. Studies that estimated FIT values in screening for SBD among patients with lower bowel symptoms were included. Sensitivity, specificity, negative likelihood ratio (NLR), positive likelihood ratio (PLR), diagnostic odds ratio (DOR), and negative predictive value (NPV) were calculated. Additionally, the pooled area under the summary receiver operating characteristic (SROC) curve was analyzed. RESULTS: A total of 8,615 patients with lower bowel symptoms who underwent FIT and colonoscopy to screen for SBD were enrolled and assessed in this meta-analysis; of these, 1,226 patients were ultimately diagnosed with SBD. The pooled sensitivity, specificity, PLR, NLR, DOR, and NPV of FIT in SBD screening were 0.65 (95% CI [confidence interval] 0.50-0.78), 0.85 (95% CI 0.72-0.92), 4.2 (95% CI 2.60-6.90), 0.41 (95% CI 0.29-0.58), 10 (95% CI 6-17), and 0.90 (95% CI 0.87-0.94), respectively. Besides, the pooled SROC was 0.82 (95% CI 0.78-0.85). CONCLUSIONS: This study indicates that the FIT provides a favorable NPV for SBD screening and could be a valuable technique for GPs to rule out SBD in primary care. At the same time, GPs need to remain vigilant and refer patients to gastroenterologists when necessary.
RESUMEN
Aims: Dietary habits are reported to be associated with Barrett's esophagus (BE) risk; however, whether there is a causal relationship remains controversial. Here, we systematically examined the causal effects of genetically predicted dietary habits on BE risk through a Mendelian randomization (MR) analysis approach. Methods: Data for exposures were obtained from the UK Biobank (UKB), while the summary-level data for outcomes were obtained from a large sample-size GWAS meta-analysis. Genetic variants associated with 17 ordinary dietary habits at the genome-wide significance level were regarded as instrumental variables (IVs). Univariable and multivariable MR analyses were conducted to explore the causal relationships between dietary habits and BE risk. Sensitivity analyses were implemented to evaluate robustness of the results and determine the potential pleiotropy bias. Results: Univariable MR (UVMR) analysis showed that genetic predisposition to alcohol intake frequency, cooked vegetable intake, beef intake, bread intake, fresh fruit intake, salad/raw vegetable intake, and dried fruit intake were associated with BE risk, with all P values <0.05. After adjusting confounders, the effects of four dietary habits on BE risk persisted; multivariable MR (MVMR) analysis revealed that alcohol intake frequency (adjusted odds ratio (OR) = 1.74 (1.34, 2.27); P = 3.42 × 10-5) was causally associated with higher BE risk, the cooked vegetable intake (adjusted OR = 2.64 (1.16, 5.97); P = 0.02) had suggestively increased BE risk, while higher consumption of bread (adjusted OR = 0.54 (0.32-0.91); P = 0.02) and fresh fruit (adjusted OR = 0.34 (0.15, 0.77); P = 0.01) were suggestively associated with lower BE risk. Conclusions: These MR analyses demonstrate evidence of causal relationships between dietary habits and BE risk. These findings provide new insights into targeted dietary intervention strategies for BE prevention.