Abstract
Purpose
Implant stability, related to mechanical (primary) and biological (secondary) bone-to-implant interactions, is essential for osseointegration. Implant surface bioactivation is a process designed to accelerate and enhance surface-cell interaction.The purpose of this systematic review was to determine whether a beneficial effect of bioactive (BS) over traditional surfaces (TS) can be identified.
Materials and Methods
An electronic search of Pubmed, Scopus, and CENTRAL databases was performed to identify randomized (RCT) and non-randomized controlled trials comparing BS and TS implants. Risk of bias was assessed using the Cochrane Collaboration tool for RCTs and the Joanna Briggs Institute tool for non-RCTs. Outcome variables were implant stability quotient (ISQ) measured through resonance frequency analysis from placement to prosthetic loading, one-year implant survival rate, and marginal bone loss (MBL). Meta-analysis was performed where possible.
Results
Of the 6920 records identified, 13 RCTs and two non-RCTs were included, reporting on 1256 implants (49.8% TS and 50.2% BS) in 596 patients. Four of the studies had a low risk of bias, three had a moderate risk and eight had a high risk. The meta-analysis showed no evidence of an effect of implant surface on survival rate (p = 0.99, 10 studies) and MBL (p = 0.86, 5 studies). At baseline (10 studies) and at one month (9 studies) the ISQ did not differ statistically significantly different between groups. A statistically significantly greater increase in ISQ was found for the BS implants compared to the TS implants (p = 0.04) at three months after placement (9 studies).
Conclusion
An advantage of BS over TS during the early osseointegration phase could not be demonstrated, but a positive effect on implant stability seems to occur after three months of placement. The statement that bioactive surfaces may safely allow early and immediate implant loading is insufficiently supported by the current evidence.
Keywords: bioactive surface, dental implants, implant primary stability, implant survival, marginal bone loss, osseointegration
Implant primary stability is determined by the friction between bone and implant at the time of insertion and tends to decrease as existing bone is progressively replaced by new bone at the implant-bone interface during osseointegration.23 Secondary stability, on the other hand, is determined by the osseointegration process: adhesion of the osteoblastic cells occurs at the level of the implant surface, causing progressive deposition of bone tissue and consequent implant stabilization.32,45,36 At the beginning of the osseointegration, only early osteoblast adhesion to the implant surface occurs. However, this alone is not sufficient to ensure complete healing. For this to happen correctly, precursor osteogenic cells need to proliferate and differentiate and then adhere appropriately to the implant surface. To facilitate this process, some features of the implant surface such as roughness, wettability and hydrophilicity are fundamental.30,63 These surface changes can be achieved by subtractive techniques such as sandblasting and acid-etching.20,67,39
Today, the process of osseointegration can also be facilitated by the use of implants with innovative bioactive surfaces characterized by hydrophilicity, which may favor proper osseointegration.18,73
There are various procedures to make implant surfaces bioactive, one of which is photofunctionalization.13,15 This technique is used to prevent the aging of titanium, which would otherwise be an obstacle to effective osseointegration. Photofunctionalization transforms the hydrophobic surface into a super-hydrophilic surface and allows the surface of the implant to be cleansed of the hydrocarbons formed by the aging of titanium.54 To achieve this, the implants are functionalized by treating them with a UV light for 15 minutes using a chairside photo-device. These 15 minutes of UV treatment are followed by a further 5 minutes of clean-ozone treatment. All this is done immediately before the implant is placed.
More recently, SLActive implants have been introduced.15,40 The surface of these implants is obtained by chemical modifications, such as creating a hydroxylated/hydrated TiO2 film, which in turn creates high surface energy, as performed using N2 carrier gas. This high surface energy is maintained by storage in isotonic saline.
Hydrophilicity, or “wettability,” is a fundamental characteristic in the processes that affect the osseointegration capacity of an implant, whether it is used for orthopedic or dental purposes.7,59,60,65
Hydrophilicity is a characteristic that affects the implant surface, and is a direct consequence of titanium aging, influencing biological processes such as the speed and quality of integration between bone and implant.
Most implant processing techniques produce surfaces that are initially super hydrophilic, with an initial angle between water and the implant surface between 0 and 10 degrees. However, this angle tends to increase over time. A surface is considered hydrophilic when the angle between the surface and an overlying drop of water is between 10 and 30 degrees, hydrophobic when the angle is between 30 and 90 degrees, and water repellent (hydrophobic) when the angle is greater than 90 degrees.8,21
In-vitro studies have repeatedly shown that this property can greatly influence the adhesion between the cells involved in the process of osseointegration and the implant surface.29,68 However, the results of in-vivo human studies are conflicting and do not clearly indicate a net advantage in the use of bioactive implants, which, despite their high hydrophilia, appear to osseointegrate as well as standard implants.
Depending on how the implant surface is treated, it will age differently. This phenomenon has been investigated in a recent study, which showed, for example, that an acid-etched surface already becomes hydrophobic seven days after production, with a water-titanium angle of 50 degrees.58 Conversely, the sandblasted surface is still highly hydrophilic after seven days. This is due to the speed at which a film of hydrocarbons is deposited on the titanium surface, reducing the wettability. This film of hydrocarbons is formed because the container used for storage, although sterile, contains oxygen and other contaminants that, when in contact with the implant surface, make it hydrophobic.42 This study has also shown that the aging of titanium is more or less reversible depending on the treatment to which it is subjected, the most suitable being UV, which immediately makes the implant surfaces super hydrophilic, restoring an angle of 0 degree between the implant and water and eliminating the hydrocarbon film.42
However, recent reviews of the literature have failed to demonstrate a clinical advantage of these bioactivated surfaces.18,73
Resonance Frequency Analysis (RFA), a widely used technique for measuring the stability of the bone-implant complex, may provide an indirect estimate of implant osseointegration.12,57 RFA quantifies the frequency of oscillation of the implant within the bone in response to an pulse of known frequency. The unit of measurement is the Implant Stability Quotient (ISQ). The ISQ values range between 0 and 100; ISQ values greater than 70 are considered excellent, indicating implant osseointegration and the ability to sustain functional loading.52
The aim of this study was to conduct an updated systematic review of the literature on the performance of implants with bioactive surfaces (BS) compared to traditional surface (TS) implants, focusing on clinical and radiological outcomes.
MATERIALS AND METHODS
Protocol and Registration
This review followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The protocol was registered on PROSPERO (N. CRD42023433722).
Data Sources
Detailed search strategies were conducted in the electronic databases PubMed, Scopus and Cochrane CENTRAL, with language restrictions (articles written in English only) and included articles published up to June 2024. Specific keywords, combined using the Boolean operators AND, OR were used to search the database for studies of interest. The search string for PubMed was (“surface modification” OR “bioactive surface” OR “active surface “ OR “hydrophilic surface” OR “plasma” OR “ ultraviolet” OR “wettability” OR “Functionalization” OR “ultra-hydrophilic” OR “Photocatalysis” OR “Ultraviolet photofunctionalization” OR “Glow discharge” OR “UV”) AND (“Dental implant*”).
Eligibility Criteria
The following criteria were considered for inclusion:
Population: patients who received implant treatment;
Intervention: patients who received UV-treated implants or implants with the surface modified to increase the wettability and improve osseointegration (e.g., sandblasted surface, acid-etched (SLActive) implant) (BS, bioactive surface);
Comparison: patients who received implants with untreated (traditional) surface (TS);
Outcome: implant survival rate, marginal bone loss, implant stability;
Study design: randomized controlled trials (RCTs) and controlled prospective studies.
Time: all studies with at least 3-month follow-up
The authors excluded in-vitro studies, in-vivo studies on animal models, retrospective studies, studies without a control or test group, and studies focused on coated implant surfaces. There were no limitations regarding the year of publication.
Study Selection
Two reviewers (L.G., V.C.) independently selected the relevant studies. The first screening was based on the title and abstract of the studies retrieved from the electronic search. All studies non-pertinent were excluded. The full text of all the eligible studies at this stage was obtained and evaluated to ensure the paper met the inclusion criteria. For all the studies excluded at this stage, the reason for exclusion was noted. Any discordance among the reviewers was resolved by discussing with a third reviewer (L.C.). Agreement between reviewers was assessed using the Cohen κ coefficient, where κ was at least 0.85.
Data Extraction
Data extraction was performed independently by two reviewers (LG, VM) and included from each study the authors, study design, year of publication, dental implants surface treatments and modification methods, implant stability quotient (ISQ), implant survival rate, marginal bone loss (MBL), implant location in the mouth, and probing depth (PD). The data were divided into two groups according to the implant surface: bioactive (BS) and traditional surface (TS).
Risk of Bias Assessment
Two reviewers (VM, VC) independently performed the risk of bias assessment of the included studies. The latter was based on seven parameters: random sequence generation (selection bias), allocation concealment (selection bias), blinding of participants and personnel (performance bias), blinding of outcome assessment (detection bias), incomplete outcome data (attrition bias), selective reporting (reporting bias) and other potential sources of bias (sample size calculation, estimation of homogeneity between treatment groups at baseline). Based on the traditional Cochrane Collaboration risk-of-bias tool for RCTs, a study was considered at low risk of bias if all seven parameters were at low risk of bias, moderate risk of bias if there was unclear risk of bias of at least 1 parameter, and high risk of bias if at least 1 parameter was scored as being at a high risk. For the non-RCT studies, the Joanna Briggs Institute checklist for cohort studies was used. Studies were judged at critical risk of bias if one or more items were critical, at serious risk if more than 4 items were unclear, at moderate risk if 2 to 4 items were unclear, and at low risk if there was no more than one item unclear. In case of doubt or discrepancies, a third reviewer was consulted (MDF).
Outcome Measures
The objective of the present research was to compare the results of ISQ, survival rate and MBL between TS implants (control) and BS implants (test). ISQ, or Implant Stability Quotient, measured through the analysis of the resonance frequency, is a physical parameter indicating the primary stability of a dental implant. Resonance frequency analysis is a quantitative, diagnostic and noninvasive method used for determining implant stability. ISQ ranges from 1 to 100 and is an estimate of the stability of the implant. Higher ISQ values indicate better implant stability and osseointegration. For this review, since the stability of implants might be assessed at different times after placement, it was decided to consider ISQ measured at baseline, then after one month (with a tolerance of 1 week), and finally three months after placement (with a tolerance of 2 weeks).
Implant survival rate was estimated at the implant level. It is represented by the proportion of implants still in function at a follow-up of at least 12 months with respect to implants inserted at baseline, lacking biological complications at the hard and soft tissue levels.
MBL is defined as a loss in the apical direction of alveolar bone surrounding the dental implant in relation to the marginal bone level initially detected at the time of implant placement. At 1 year following placement, an implant should have <0.2 mm annual loss of marginal bone level to satisfy the criteria of success.35
Statistical Analysis
To estimate the overall effect for the outcomes investigated when at least two studies with similar outcomes and protocols were found, pairwise meta-analysis was undertaken using Review Manager (RevMan Version 5.4.1, The Cochrane Collaboration, 2020). A fixed-effects model was first applied, and if significant heterogeneity among studies was detected, a random-effects model was implemented. Heterogeneity among the included studies was assessed using Cochran’s test for heterogeneity, and the significance threshold was set at p < 0.1. In case of marked heterogeneity, sensitivity analysis was performed by excluding studies with a high risk of bias or non-RCTs. For quantitative variables, the intervention’s effect was calculated as the mean difference (MD) together with 95% confidence intervals (CIs). If a single study’s weight was greater than 80%, standardized mean difference (SMD) was used. To address possible missing standard deviations, the methods outlined in Section 7.7.3 of the Cochrane Handbook for Systematic Reviews of Interventions, Version 5.1.046 were used when applicable. For variables expressed as proportions, the effect was estimated as the risk ratio (RR) together with 95% CIs. A p-value < 0.05 was considered statistically significant.
RESULTS
The data are available upon request from the corresponding author.
The electronic search produced a total of 6920 articles. Figure 1 illustrates the selection process. After initial screening based on title and abstract, 38 studies were considered eligible, and the full text was obtained and evaluated to assess whether the studies met the inclusion criteria.
Fig 1.
Flowchart of the selection process.
All studies excluded at this stage are listed in Table 1, together with the reason for exclusion.3-6,16,17,19,22,24,26,27,37,38,41,43,48,49,50, 63,68,72,74 Finally, 15 studies (13 RCTs and 2 non-RCTs), reporting on 1256 implants (49.8% TS and 50.2% BS) in 596 patients were included.1,2,10,14,28,33,34,66,44,47,53,55,56,61,62 The main characteristics of the included studies are summarized in Table 2.
Table 1.
List of excluded studies and reason for exclusion
|
Study |
Reason for exclusion |
|---|---|
|
Stricker et al, 2003 |
No control group |
|
Bornstein et al, 2005 |
No control group |
|
Ganeles et al, 2008 |
No control group |
|
Zollner et al, 2008 |
No control group |
|
Bornstein et al, 2009 |
No control group |
|
Morton et al, 2009 |
Not a prospective comparative study |
|
Bornstein et al, 2010 |
No control group |
|
Loungo et al, 2010 |
Not a prospective comparative study |
|
Bosshardt et al, 2011 |
No control group |
|
Lang et al, 2011 |
The outcomes considered do not match with our focus |
|
Nicolau et al, 2011 |
No control group |
|
Filippi et al, 2013 |
Not a prospective comparative study |
|
Funato et al, 2013 |
Not a prospective comparative study |
|
Guler et al, 2013 |
Does not provide separate ISQ data for BS and TS implants |
|
Markovic et al, 2014 |
No control group |
|
Hicklin et al, 2015 |
Not a prospective comparative study |
|
Wallkamm et al,2015 |
No control group |
|
Kitajima et al, 2016 |
No control group |
|
Yamaner et al,2017 |
Not a prospective comparative study |
|
Hirota et al, 2018 |
Not a prospective comparative study |
|
Nicolau et al, 2019 |
No control group |
|
Hicklin et al,2020 |
No control group |
|
Hirota et al, 2020 |
Multiple publication |
Table 2.
Characteristics of included studies
|
Included study |
Study design |
Split mouth |
Test (BS) |
Control (TS) |
Patients BS |
Implants BS |
Patients TS |
Implants TS |
Follow-up, months |
Implant location (no. of implants) |
|---|---|---|---|---|---|---|---|---|---|---|
|
BS: bioactive surface; TS: traditional surface; RCT: randomized controlled trial; CCT: controlled clinical trial; SAE: sandblasted and acid-etched; DAS: double acid-etching and sandblasting; DASH: DAS plus stored in 0.9% saline solution to increase hydrophilicity; RBM: hydroxyapatite–Ca10-(PO4)6(OH)2 spraying on the implant surface to set the surface roughness (Ra) to 1.2–1.8 mm; PF: photofunctionalization. | ||||||||||
|
Novellino et al, 2017 |
RCT |
Yes |
Modified SAE |
SAE |
21 |
32 |
21 |
32 |
12 |
Posterior maxilla (64) |
|
Choi et al, 2021 |
RCT |
No |
UV-treated |
SAE |
18 |
29 |
16 |
28 |
12 |
Posterior maxilla (57) |
|
Hirota et al, 2016 |
CCT |
Yes |
UV-treated |
Untreated |
4 |
25 |
5 |
24 |
24 |
Various sites (49) |
|
Karabuda et al, 2010 |
RCT |
Yes |
Modified SLA |
SLA |
22 |
48 |
22 |
48 |
12 |
Maxilla (57) Mandible (39) |
|
Shah et al, 2021 |
RCT |
NO |
PF pre-treated |
Untreated |
27 |
27 |
28 |
28 |
12 |
Anterior maxilla (55) |
|
Markovic et al, 2016 |
RCT |
yes |
SLActive |
SLA |
20 |
40 |
20 |
40 |
12 |
Anterior maxilla (25), posterior maxilla (17), anterior mandible (10), posterior mandible (28) |
|
Puisys et al, 2019 |
RCT |
Yes |
UV-treated |
untreated |
180 |
180 |
180 |
180 |
24 |
Maxilla (142), mandible (218) |
|
Nack et al, 2015 |
RCT |
Yes |
SLActive |
SLA |
20 |
49 |
20 |
48 |
60 |
Various sites (97) |
|
Filho et al, 2018 |
RCT |
Yes |
SLActive |
SLA |
19 |
19 |
19 |
19 |
3 |
Posterior mandible (38) |
|
Ozel et al, 2021 |
Yes |
SLActive |
SLA |
12 |
25 |
12 |
25 |
3 |
Various sites (50) |
|
|
Barbosa et al, 2021 |
RCT |
Yes |
DASH |
DAS |
20 |
20 |
20 |
20 |
3 |
Posterior maxilla (40) |
|
Park et al, 2010 |
RCT |
No |
RBM treatment |
SLA |
28 |
39 |
28 |
36 |
12 |
Posterior mandible (75) |
|
Sandhu et al, 2021 |
RCT |
Yes |
UV-treated |
untreated |
34 |
34 |
34 |
34 |
12 |
Posterior jaws (68) |
|
Canullo et al, 2024 |
CCT |
No |
MultiNeO NH CS |
MultiNeO CS |
18 |
30 |
18 |
30 |
6 |
D3 and D4 (poor density bone) (60) |
|
Rani et al, 2024 |
RCT |
No |
Uv-treated |
Standard implants |
30 |
33 |
30 |
34 |
12 |
Various sites (67) |
Risk of Bias
Figure 2 summarizes the overall risk of bias for each item, and Figs 3a and 3b represent the risk of bias of the individual randomized studies. Four randomized studies were judged at low risk of bias, three at moderate risk, and 7 at high risk of bias. The only non-randomized study was judged at serious risk of bias.28
Fig 2.
Risk of bias graph, showing the overall risk for each item considered. Blinding was the item with the greatest risk of bias.
On the other hand, the only non-randomized study28 was judged at critical risk.
Implant Stability Quotient
Of the included studies, nine reported data on ISQ. However, one study65 could not be included in the meta-analysis because it only provided follow-up ISQ values and not the baseline value. At baseline (Fig 4, 8 studies) and at 1 month (Fig 5, 7 studies) there were no statistically significant differences in ISQ between BS and TS group (p = 0.19 and p = 0.79, respectively). One study28 appeared as an outlier at baseline due to very low ISQ values. These studies included both regular cases and complex cases (implant placed in grafted sinuses), with the latter contributing to a decrease in the mean ISQ value. However, even excluding this study, the difference between the BS and TS group remained non-statistically significant at baseline (data not shown). At three months after placement, a statistically significantly greater increase in ISQ was found in the BS group compared to TS implants (p = 0.03) (Fig 6, 8 studies).
Fig 4.
Forest plot of studies reporting ISQ at baseline.
Fig 5.
Forest plot of studies reporting ISQ at 3–5 weeks.
Fig 6.
Forest plot of studies reporting ISQ at 10–14 weeks.
Implant Survival
The meta-analysis of studies with a follow-up of at least one year showed no evidence of an effect of implant surface on the survival rate (Fig 7, p = 0.99, 10 studies, 498 BS implants and 494 TS implants). In seven studies, no failure occurred in either group.
Fig 7.
Forest plot of studies reporting implant survival after at least 1 year.
Marginal Bone Loss
Five studies were included in the meta-analysis of MBL (Fig 8). There was no evidence of an effect of the surface type (p = 0.11, MD= -0.02 mm, 95% CI -0.05, 0.01, 330 BS implants and 328 TS implants).
Fig 8.
Forest plot of studies reporting marginal bone level change after at least 1 year.
DISCUSSION
In the present systematic review, the difference in the osseointegration process between standard implants (not subjected to bioactivation) and bioactive implants (SLActive or UV Ray-treated implants) was investigated.
Analyzing the available data by parameters such as MBL and survival rate, no substantial differences were found in the long-term follow-up of osseointegration between control and test group. However, analyzing the ISQ data, a trend in favor of bioactive surfaces in the early healing phase (around 1 month) was apparent that became statistically significant at the 3rd month.
On the one hand, the results regarding clinical outcomes appear to be comparable to those reported in previous systematic reviews.70 However, on the other hand, a statistically significant difference between bioactivated and traditional surfaces in terms of stability outcomes was found.2,44,55,62,70
Osseointegration occurs through cellular stratification observed at the implant surface, typically reaching its peak around the 8th week. This biological process defines secondary stability, also referred to as biological stability. This progression depends on the prior establishment of primary stability, also known as mechanical stability, which is largely influenced by the thickness of the cortical bone.34,41
Ideally, bioactive implants are intended to accelerate secondary stability, and therefore osseointegration, by promoting the interaction between bone marrow cells and the implant surface.2,53,61
The ISQ is a parameter describing the stability of the implant inside the bone by measuring via resonance frequency analysis. The results of the ISQ extrapolated from the literature analyzed in this review showed a positive trend in favor of bioactive implants beginning at one month from insertion, although this was not statistically significant.
One possible explanation for these findings could be that part of the implant sites analyzed in the selected articles were located in the posterior mandible. As matter of fact, the loading phase’s stability is strongly influenced by the bone density of the implant site itself. Bone types D1 and D2 have a thick cortical conformation, resulting in a saturation effect of bioactivation on the implant surface. It was known that in a prevailing cortical area (bone density D1/D2), especially in the early healing phase, stability is mainly primary. This clinical scenario might jeopardize the efficacy of the bioactive implants due to the paucity of medullary tissue that instead promotes secondary stability. On the other hand, presence of a wider volume of medullar bone in contact with the implant surface (D3/D4) could exploit the bioactivation effect, favoring a greater interaction with the cells of the bone marrow and thus determining a clear improvement of secondary or biological stability.
Due to the presence of confounding factors (stability mainly due to the cortical component) in this early healing phase, a significant advantage in the use of bioactive surfaces is not detectable, even if a favorable trend is apparent. As opposed to the previously published reviews, outcomes reported in the present study presented a trend at the early stage which became statistically significant in the longer follow-up due the higher number of studies included.
In fact, one systematic review/meta-analysis1 included fewer articles and stopped the observation period at week eight. Eventually, the lower amount of data combined with a shorter observation period might explain the difference between results reported by Almassri et al1 and the present study. The advantage of bioactive implants found in the present review as of the tenth week may be related to their ability to anticipate and promote secondary stability.
Analyzing the data related to marginal bone loss, the results showed a slight advantage in favor of bioactive implants, although this difference did not reach statistical significance. This may be due to the inability of bioactivation to withstand the effects of prosthetic loading.1 As for the MBL, the difference in survival rate between the two groups considered is minimal and slightly favors the bioactive implants,1,44,47,62 confirming the results of a previously published systematic review.13 In that study, the comparison of the two surfaces based on survival rate showed a positive trend towards bioactive implants.13 This might also help prevent peri-implant disease.71 Additionally, other clinical aspects, such as the morphology of the abutments, must be considered.9,11
CONCLUSION
An advantage of BS over TS during the early osseointegration phase could not be demonstrated, but a significant positive effect on implant stability seems to occur after three months of placement. The statement that bioactive surfaces may safely allow early and immediate implant loading is insufficiently supported by the current evidence and may need further studies. In fact, to substantiate the potential benefits of bioactivation, studies should specifically target implant sites with a higher prevalence of medullary bone (D3-D4). This would enable a comparison between bioactive and non-bioactive surfaces, where the effect of bioactivation on stability is not diminished by the predominance of cortical bone.
REFERENCES
Fig 3.

Risk of bias summary, showing the bias in each item for individual studies.
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