| Literature DB >> 34024329 |
Abstract
OBJECTIVES: The efficacy of conventional systemic antibiotic therapy for eradication of Helicobacter pylori has been seriously challenged by antibiotic resistance. Identification of alternative therapeutic strategies might help to overcome this limitation. The aim of this study was to update previous meta-analyses that investigated the effect of periodontal treatment on gastric H. pylori eradication.Entities:
Keywords: Extragastric reservoir; Helicobacter infections; Periodontal medicine
Mesh:
Substances:
Year: 2021 PMID: 34024329 PMCID: PMC9275331 DOI: 10.1111/idj.12616
Source DB: PubMed Journal: Int Dent J ISSN: 0020-6539 Impact factor: 2.607
Fig. 1Flowchart of study selection according to the PRISMA guidelines.
Quality measure of included studies in the meta-analysis based on the Cochrane Collaboration tool
| Random sequence generation (Selection Bias) | Allocation concealment (Selection Bias) | Blinding of the outcome assessment (detection Bias) | Incomplete outcome data addressed (Attrition Bias) | Selecting reporting (Reporting Bias) | |
|---|---|---|---|---|---|
| Zaric et al. (2009) | + | ? | ? | – | + |
| Jia et al. (2009b) | ? | ? | ? | – | + |
| Gao et al. (2011) | ? | ? | ? | – | + |
| Song et al. (2013) | ? | ? | + | – | + |
| Tongtawee et al. (2017) | ? | ? | ? | – | + |
| Sert-Yuksel (2019) | – | + | + | – | + |
| Jin et al. (2003) | ? | ? | ? | + | + |
| Jin et al. (2007) | ? | ? | ? | + | + |
| Lv and Yao (2006) | ? | ? | ? | + | + |
| Liu et al. (2012) | ? | ? | ? | + | + |
Due to nature of periodontal treatment, it was not possible to blind the patient or clinician therefore, the assessment of blinding of participants and personal from the evaluation was excluded. For the Chinese studies, the quality measures were extracted from Ren et al.
Characteristic of included studies in meta-analysis
| Gastric | Gastric | Sample size | Percent eradication | Follow-up | ||
|---|---|---|---|---|---|---|
| Zaric et al. (2009) | Triple | 11 | 10 | 21 | 47.60% | 3 months |
| Triple + perio | 5 | 17 | 22 | 77% | ||
| Jia et al. (2009) | Triple | 33 | 7 | 39 | 17.95% | 6 months |
| Triple + Perio after gastric eradication | 9 | 38 | 47 | 80.85% | ||
| Jia | Triple | 43 | 8 | 51 | 15.69% | 6 months |
| Triple + Perio after gastric eradication | 11 | 45 | 56 | 81.36% | ||
| Gao et al. (2011) | Triple | 10 | 27 | 37 | 73% | 1 month |
| Triple + perio | 8 | 35 | 43 | 81.40% | ||
| Triple | 16 | 11 | 37 | 32.40% | 12 months | |
| Triple + perio | 2 | 27 | 43 | 62.80% | ||
| Song | Triple | 8 | 40 | 51 | 78.4% | 1 month |
| Triple + perio | 13 | 40,54 | 57 | 94.7% | ||
| Tongtawee et al. (2017) | Triple | 11 | 39 | 50 | 78% | 3 months |
| Triple + perio | 3 | 45 | 48 | 93.8% | ||
| Yuksel-Sert (2019) | Triple | 23 | 24 | 47 | 51.06% | 3 months |
| Triple + perio | 18 | 33 | 51 | 64.71% | ||
| Jin et al. (2003) | Triple | 4 | 26 | 32 | 81.25 | 1 month |
| Triple + perio | 6 | 28 | 32 | 87.5% | ||
| Jin et al. (2007) | Triple | 9 | 32 | 41 | 78% | 1 month |
| Triple + perio | 8 | 38 | 46 | 82.6% | ||
| Lv and Yao. (2006) | Triple | 13 | 17 | 30 | 56.6% | 1 month |
| Triple + perio | 9 | 26 | 35 | 74.3% | ||
| Liu et al. (2012) | triple | 40 | 34 | 74 | 45.9% | 1 month |
| triple + perio | 30 | 48 | 78 | 61.5% |
Fig. 2Forest plot of published studies on the contribution of professional periodontal treatment to conventional systemic gastric H. pylori eradication therapy.
Fig. 3Forest plot of published studies including data of four trials from a previous review on the contribution of professional periodontal treatment to the recurrence of gastric H. pylori eradication.
Fig. 4Forest plot of published studies on the contribution of professional periodontal treatment to the recurrence of gastric H. pylori eradication.
Summary results of the influential analysis (random-effects model)
| Study | OR [95% CI] | tau2 | ||
|---|---|---|---|---|
| Omitting Zaric et al.(2009) | 2.8338 [1.6324; 4.9192] | 0.0002 | 0.4467 | 64.9 |
| Omitting Jia et al. (2009) | 2.2053 [1.5963; 3.0465] | <0.0001 | 0.0000 | 0.0 |
| Omitting Gao et al. (2011) | 2.7901 [1.5849; 4.9119] | 0.0004 | 0.4618 | 64.2 |
| Omitting Song et al. (2013) | 2.9968 [1.6968; 5.2930] | 0.0002 | 0.4723 | 64.9 |
| Omitting Tongtawee et al. (2017) | 3.0992 [1.7571; 5.4664] | <0.0001 | 0.4586 | 64.6 |
| Omitting Sert-Yuksel et al. (2019) | 2.8052 [1.6218; 4.8521] | 0.0002 | 0.4392 | 63.1 |
| Omitting Jin et al. (2003) | 3.0424 [1.7642; 5.2465] | <0.0001 | 0.4328 | 64.3 |
| Omitting Jin et al. (2007) | 3.1491 [1.8315; 5.4146] | <0.0001 | 0.4099 | 62.1 |
| Omitting Lv and Yao (2006) | 2.9882 [1.6991; 5.2553] | 0.0001 | 0.4658 | 65.0 |
| Omitting Liu et al. (2012) | 3.0934 [1.7295; 5.5330] | 0.0001 | 0.4846 | 62.5 |
| Pooled estimate | 2.8938 [1.7397; 4.8137] | 0.0002 | 0.59 | 60.9 |
Pooled OR and 95% CI for excluding each data set in the meta-analysis (up to July 2008). The relative contribution to heterogeneity of each study examined by a sensitivity analysis by removing one data set at a time. The pooled OR was re-calculated in the absence of each study. Iterative sensitivity analysis showed that Jia et al. accounted for the heterogeneity observed in our meta-analysis. After exclusion of this study in the analysis, the test of heterogeneity was not significant, I2 decreased from 76% to 0%.
Fig. 5Funnel plot asymmetry used to determine publication bias. Points indicate odds ratios from the studies included in the meta-analysis. (P-value = 0.68).