| Literature DB >> 27833727 |
Mindaugas Pranskunas1, Lukas Poskevicius1, Gintaras Juodzbalys1, Ricardas Kubilius1, Ryo Jimbo2.
Abstract
OBJECTIVES: To systematically examine influence of soft tissue condition and plaque accumulation around dental implants on peri-implantitis development.Entities:
Keywords: dental implants; dental plaque; gingiva; peri-implantitis; risk factors
Year: 2016 PMID: 27833727 PMCID: PMC5100642 DOI: 10.5037/jomr.2016.7302
Source DB: PubMed Journal: J Oral Maxillofac Res ISSN: 2029-283X
Figure 1Procedural flow of the literature search and selection process.
Characteristics of the included studies with report on soft tissue condition around dental implants
| Study |
Year of |
Follow-up |
Study |
Patients |
Implants |
PI | P value |
GI | P value |
PD | P value |
BoP/mBI | P value | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
KM ≥ 2 mm |
KM < 2 mm |
KM ≥ 2 mm |
KM < 2 mm |
KM ≥ 2 mm |
KM < 2 mm |
KM ≥ 2 mm |
KM < 2 mm | ||||||||||
| Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | ||||||||||||||
| Boynuegri et al. [21] | 2012 | 1 year |
Prospective | 15 | 36 | 0.05 (0.19) | 0.28 (0.38) | < 0.05 | 0.07 (0.26) | 0.58 (0.6) | < 0.05 | 0,24 (0,3) | 0,39 (0,36) | > 0.05 | |||
| Chung et al. [22] | 2006 | > 3 years |
Prospective | 69 | 339 | 1.26 (0.05) | 1.51 (0.09) | < 0.05 | 0.76 (0.04) | 0.94 (0.07) | < 0.05 | 2.9 (0.05) | 2.85 (0.06) | > 0.05 | 0.54 (0.09) | 0.43 (0.08) | > 0.05 |
| Adibrad et al. [23] | 2009 | 2 years |
Prospective | 27 | 66 | 1.2 (0.71) | 1.87 (0.59) | 0.02 | 1.01 (0.67) | 1.65 (0.78) | 0.01 | 2.98 (0.51) | 3.11 (0.56) | 0.115 | 0.38 (0.34) | 0.49 (0.3) | 0.04 |
| Bouri et al. [24] | 2008 | 1 year |
Prospective | 76 | 200 | 1.25 (0.53) | 1.78 (0.78) | < 0.001 | 0.91 (0.72) | 1.5 (0.77) | < 0.001 | 3.72 (0.75) | 3.87 (0.66) | 0.132 | |||
| Romanos et al. [25] | 2015 | > 2.6 years |
Retrospective | 118 | 320 | 0.45 (0.56) | 0.69 (0.63) | 0.001 | 0.11 (0.31) | 0.31 (0.52) | < 0.0001 | ||||||
| Souza et al. [26] | 2015 | 1 year |
Present | 80 | 270 | 0.6 (0.51) | 0.92 (0.52) | 0.008 | 2.36 (0.41 | 2.43 (0.65) | 0.582 | 51 (27.2)% | 63.8 (29.3)% | 0.033 | |||
| Kim et al. [31] | 2009 | 13 months |
Prospective | 100 | 276 | 0.74 (0.83) | 0.74 (0.91) | 0.943 | 0.38 (0.66) | 0.44 (0.72) | 0.472 | 2.84 (1.8) | 2.62 (1.55) | 0.328 | |||
| Esper et al. [32] | 2012 | 1 year |
Cross-sectional | 109 | 202 | 0.6 (0.62) | 0.67 (0.71) | 0.487 | 1.25 (0.61) | 1.11 (0.58) | 0.127 | 3.02 (1.05) | 2.43 (1.02) | < 0.001 | |||
PI = plaque index; GI = gingival index; PD = pocket depth; BoP/mBI = bleeding on probing/modified bleeding index; SD = standard deviation.
Bias summary
| Study |
Year of |
Random |
Allocation |
Blinding of |
Incomplete |
Selective |
Other |
|---|---|---|---|---|---|---|---|
| Boynuegri et al. [21] | 2012 | ? | ? | ? | + | + | + |
| Chung et al. [22] | 2006 | ? | ? | + | + | + | + |
| Adibrad et al. [23] | 2009 | ? | ? | + | + | + | + |
| Bouri et al. [24] | 2008 | + | ? | + | + | + | + |
| Romanos et al. [25] | 2015 | ? | ? | + | + | + | + |
| Souza et al. [26] | 2015 | + | + | + | + | + | + |
| Kim et al. [31] | 2009 | ? | ? | ? | + | + | + |
| Esper et al. [32] | 2012 | ? | ? | ? | + | + | + |
+ = low risk; ? = unclear risk; - = high risk.