| Literature DB >> 35118081 |
Depeng Lu1, Mingyu Wang2, Xiquan Ke1, Qiangwu Wang1, Jianchao Wang1, Dapeng Li1, Meng Wang1, Qizhi Wang1.
Abstract
BACKGROUND: It has been suggested that Helicobacter pylori (H. pylori) infection is associated with hypergastrinemia and proliferation of colorectal mucosa via direct stimulation, dysbiosis of the gut microbiome, and changes in the gut microbiome, all of which may lead to the formation of colorectal polyps. However, the consensus remains lacking regarding whether H. pylori infection is independently associated with colorectal polyps and whether the association differs according to histological type of colorectal polyps. To summarize the current evidence regarding the relationship between H. pylori infection and colorectal polyps, we conducted a meta-analysis of related observational studies according to the histological types of colorectal polyps.Entities:
Keywords: H. pylori infection; adenomatous polyps; colorectal polyps; hyperplastic polyps; meta-analysis
Year: 2022 PMID: 35118081 PMCID: PMC8803908 DOI: 10.3389/fmed.2021.706036
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Scheme of study inclusion.
Characteristics of the included studies.
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| Breuer et al. ( | Germany | CC | 178 | 61.9 | 51.7 | Serology | 117 | AP (89) | Age, sex, dietary factor, and BMI |
| Siddheshwar et al. ( | UK | CC | 236 | 62.5 | 44.9 | Serology | 146 | Colorectal polyps (57) | Age, sex, and social class |
| Fujimori et al. ( | Japan | CS | 669 | 70.3 | 60.9 | UBT, and RUT or histological diagnosis with gastric specimens | 527 | AP (327) | Age and sex |
| Bae et al. ( | Korea | CS | 346 | 54.1 | 73 | UBT, and RUT or histological diagnosis with gastric specimens | 204 | AP (148) | Age, sex, and gastric dysplasia |
| Inoue et al. ( | Japan | CC | 478 | 49.5 | 100 | Serology | 368 | AP (239) | Age, sex, current smoking, and TC |
| Hong et al. ( | Korea | CS | 2,195 | 49.3 | 61.6 | Serology | 1,253 | AP (506), and advanced AP (103) | Age, sex, smoking, alcohol consumption, family history of CRC, and regular use of aspirin |
| Nam et al. ( | Korea | CS | 597 | 56.2 | 65.4 | Serology | 335 | AP (118) | Age, sex, BMI, HbA1c and TC |
| Brim et al. ( | USA | CS | 1,256 | 57 | 34 | Serology | 366 | Colorectal polyps (456), and AP (300) | Age, sex, chronic active gastritis, and baseline high risk |
| Patel et al. ( | USA | CS | 799 | 54.8 | 52.2 | Histological diagnosis with gastric specimens | 236 | AP (140) | Age, sex, BMI, race, alcohol, and tobacco |
| Tongtawee et al. ( | Thailand | CS | 303 | NR | 38.3 | Histological and RUT diagnosis with gastric specimens | 151 | Colorectal polyps (77), HP (42), AP (35), and advanced AP (13) | Age, sex, and chronic active gastritis |
| Nam et al. ( | Korea | CS | 4,446 | NR | 55.1 | RUT with gastric biopsy specimen | 2,246 | AP (1245), and advanced AP (118) | Age, sex, BMI, educational background, smoking status, alcohol consumption, and family history of CRC |
| Chen et al. ( | China | CS | 1,375 | 53.9 | NR | UBT | 583 | AP (180) | Age, sex, WC, BMI, SBP, DBP, TC,TG, LDL-C, and HDLC |
| Huang et al. ( | China | CC | 493 | 47.8 | 75.5 | UBT | 306 | Colorectal polyps (159) | Age, sex, BMI, and family history of cancer |
| Yang and Yang ( | China | CS | 166 | 53.8 | 52.4 | UBT | 68 | AP (66) | Age, sex, TC, TG, hypertension, and FPG |
| Sonnenberg et al. ( | USA | CC | 302,061 | 56.5 | 44.3 | Histological diagnosis with gastric specimens | 23,995 | HP (43329), AP (97777), and SSP (14436) | Age and sex |
| Zhao et al. ( | China | CS | 563 | 55.7 | 65.4 | UBT | 163 | AP (315) | Age, sex, and BMI |
| Wang et al. ( | China | CS | 6,234 | 49.2 | 56.8 | UBT | 3,024 | Colorectal polyps (3872), HP (2284), and AP (1588) | Age and sex |
CC, case-control study; CS, cross-sectional study; NR, not reported; UBT, .
Details of study quality evaluation via the NOS.
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| Breuer et al. ( | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
| Siddheshwar et al. ( | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Fujimori et al. ( | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 7 |
| Bae et al. ( | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 6 |
| Inoue et al. ( | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Hong et al. ( | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Nam et al. ( | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Brim et al. ( | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Patel et al. ( | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Tongtawee et al. ( | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Nam et al. ( | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Chen et al. ( | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Huang et al. ( | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Yang and Yang ( | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
| Sonnenberg et al. ( | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Zhao et al. ( | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
| Wang et al. ( | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
NOS, the newcastle-ottawa scale.
Figure 2Forest plots for the meta-analysis concerning the association between H. pylori infection and colorectal polyps; (A) the outcome of overall colorectal polyps; (B) the outcome of adenomatous polyps; (C) the outcome of advanced adenomatous polyps; and (D) the outcome of hyperplastic polyps.
Results of sensitivity analysis.
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| Siddheshwar et al. ( | 1.73 [1.26, 2.37] | 77% | 0.004 | <0.001 |
| Brim et al. ( | 1.71 [1.18, 2.47] | 72% | 0.01 | 0.005 |
| Tongtawee et al. ( | 1.56 [1.10, 2.21] | 80% | 0.002 | 0.01 |
| Huang et al. ( | 1.85 [1.42, 2.41] | 61% | 0.05 | <0.001 |
| Wang et al. ( | 1.47 [1.15, 1.90] | 25% | 0.26 | 0.003 |
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| Breuer et al. ( | 1.70 [1.46, 1.99] | 87% | <0.001 | <0.001 |
| Fujimori et al. ( | 1.72 [1.46, 2.03] | 87% | <0.001 | <0.001 |
| Bae et al. ( | 1.76 [1.51, 2.07] | 87% | <0.001 | <0.001 |
| Inoue et al. ( | 1.67 [1.43, 1.95] | 86% | <0.001 | <0.001 |
| Hong et al. ( | 1.75 [1.49, 2.07] | 87% | <0.001 | <0.001 |
| Nam et al. ( | 1.70 [1.45, 1.99] | 87% | <0.001 | <0.001 |
| Brim et al. ( | 1.76 [1.48, 2.09] | 87% | <0.001 | <0.001 |
| Patel et al. ( | 1.76 [1.51, 2.06] | 87% | <0.001 | <0.001 |
| Tongtawee et al. ( | 1.70 [1.46, 1.99] | 87% | <0.001 | <0.001 |
| Nam et al. ( | 1.77 [1.49, 2.11] | 86% | <0.001 | <0.001 |
| Chen et al. ( | 1.63 [1.41, 1.90] | 85% | <0.001 | <0.001 |
| Yang and Yang ( | 1.69 [1.45, 1.98] | 87% | <0.001 | <0.001 |
| Sonnenberg et al. ( | 1.77 [1.44, 2.16] | 85% | <0.001 | <0.001 |
| Zhao et al. ( | 1.67 [1.43, 1.95] | 86% | <0.001 | <0.001 |
| Wang et al. ( | 1.58 [1.40, 1.79] | 68% | <0.001 | <0.001 |
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| Hong et al. ( | 1.97 [1.38, 2.82] | 0% | 0.34 | <0.001 |
| Tongtawee et al. ( | 1.99 [1.48, 2.66] | 0% | 0.55 | <0.001 |
| Nam et al. ( | 2.34 [1.55, 3.52] | 0% | 0.56 | <0.001 |
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| Tongtawee et al. ( | 1.53 [0.95, 2.46] | 89% | 0.08 | 0.003 |
| Sonnenberg et al. ( | 1.96 [1.46, 2.63] | 0% | 0.68 | <0.001 |
| Wang et al. ( | 1.23 [1.13, 1.34] | 0% | 0.59 | <0.001 |
OR, odds ratio.
Figure 3Funnel plots for the meta-analyses; (A) funnel plots for the meta-analysis concerning the association between H. pylori infection and overall colorectal polyps; and (B) funnel plots for the meta-analysis concerning the association between H. pylori infection and adenomatous polyps.