| Literature DB >> 30425200 |
Yan Shi1, Jia-Yu Duan2, Dong-Wei Liu2, Ying-Jin Qiao2, Qiu-Xia Han1, Shao-Kang Pan2, Li Tang3, Guang-Yan Cai3, Xiang-Mei Chen3, Zhang-Suo Liu2, Han-Yu Zhu3.
Abstract
BACKGROUND: Type 2 diabetes (T2DM) patients are susceptible to Helicobacter pylori (HP), and it has been reported that the occurrence of proteinuria is associated with HP infection in T2DM patients; however, this view remains controversial. This meta-analysis aimed to explore the association between HP infection and the occurrence of proteinuria in T2DM patients. In addition, we hope to provide some recommendations to readers in clinical or related fields.Entities:
Keywords: Helicobacter pylori; Kidney; Meta-Analysis; Proteinuria; Type 2 Diabetes
Mesh:
Year: 2018 PMID: 30425200 PMCID: PMC6247588 DOI: 10.4103/0366-6999.245269
Source DB: PubMed Journal: Chin Med J (Engl) ISSN: 0366-6999 Impact factor: 2.628
Figure 1The association between HP infection and extragastric diseases. The association between HP infection and extragastric diseases has garnered more attention in recent years, as related to cognitive impairment, CHD, COPD, CB, metabolic syndrome and renal disease. HP: Helicobacter pylori; CHD: Coronary heart disease; COPD: Chronic obstructive pulmonary disease; CB: Chronic bronchitis.
Figure 2The process of article selection. We screened a total of 655 related articles, with 47 articles excluded because of repetition. After utilizing the inclusion and exclusion criteria for the abstract and full text of the remaining articles, seven were finally included in our meta-analysis.
Basic characteristics of the included seven articles
| Studies | Year | Country | Study design | Case/control ( | Ethnicity (mean age of case group and control group, years) | NOS quality assessment |
|---|---|---|---|---|---|---|
| Gulcelik | 2005 | Turkey | Case-control study | 31/71 | The population of Ankara Training Hospital (51.9 ± 10.6, 48.2 ± 8.3) | ★★★★★ |
| Kayar | 2014 | Turkey | Case-control study | 23/39 | The population of internal medicine outpatient clinic. (48.6 ± 12.1, 47.3 ± 12.6) | ★★★★★★ |
| Ohnishi | 2008 | Japan | Case-control study | 61/69 | The population of Matsushita Memoril Hospital (64.2 ± 11.6, 71.3 ± 14.4) | ★★★★★ |
| Zhou | 2015 | China | Case-control study | 125/65 | The population of the hospital in Qingdao. (50.2 ± 12.6, 45.6 ± 12.1) | ★★★★★★ |
| Demir | 2008 | Turkey | Case-control study | 21/120 | The population of Baskent University Konya Hospital. (52.8 ± 10.1, 52.6 ± 10.2) | ★★★★★ |
| Chung | 2013 | South Korea | Case-control study | 68/256 | The population of Seoul National University Healthcare System Gangnam Center. (57.7 ± 10.5, 54.6 ± 9.1) | ★★★★★ |
| Hamed | 2007 | Egypt | Case-control study | 37/43 | The population of Assiut University Hospital. (47.7 ± 9.2, 47.7 ± 9.1) | ★★★★★ |
NOS score of the included articles
| Author | Is the case definition adequate | Representativeness of the cases | Selection of controls | Definition of controls | |
|---|---|---|---|---|---|
| N.E,.Gulcelik | Yes, with independent validation★ | Consecutive or obviously representative series of cases★ | No description | No history of disease (endpoint)★ | |
| Goh Eun Chung | Yes, with independent validation★ | Potential for selection biases or not stated | Hospital controls | No history of disease (endpoint)★ | |
| Masayoshi Ohnishi | Yes, with independent validation★ | Potential for selection biases or not stated | Hospital controls | No history of disease (endpoint)★ | |
| Fei Zhou | Yes, with independent validation★ | Consecutive or obviously representative series of cases★ | No description | No history of disease (endpoint)★ | |
| Mehmet Demir | Yes, with independent validation★ | Potential for selection biases or not stated | Hospital controls | No history of disease (endpoint)★ | |
| Yusuf Kayar | Yes, with independent validation★ | Consecutive or obviously representative series of cases★ | No description | No history of disease (endpoint)★ | |
| Sherifa Ahmed Hamed | Yes, with independent validation★ | Potential for selection biases or not stated | No description | No history of disease (endpoint)★ | |
| N.E,.Gulcelik | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★★ |
| Goh Eun Chung | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★ |
| Masayoshi Ohnishi | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★ |
| Fei Zhou | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★★ |
| Mehmet Demir | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★ |
| Yusuf Kayar | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★★ |
| Sherifa Ahmed Hamed | Select the most important factor★ | Secure record (e.g., surgical records)★ | Yes★ | Nonrespondents described | ★★★★★ |
NOS: Newcastle–Ottawa Scale.
Figure 3Forest plot. The rate of HP infection in T2DM patients with proteinuria was significantly higher than that in patients without HP infection (OR = 2.00, 95% CI [1.48, 2.69]). HP: Helicobacter pylori; T2DM: Type 2 diabetes; OR: Odds ratio; CI: Confidence interval.
Figure 4Funnel plot. The distribution of these articles is roughly symmetrical on the funnel plot, meaning that there was no significant publication bias in our meta-analysis.