Abstract
Objectives
The aim of the present study was to investigate whether peri-implant clinical parameters (modified plaque index (mPI), bleeding and/or suppuration on probing (B/SOP)) and local factors (type of prostheses, screw emergence, platform diameter, and abutment angulation) might contribute to the development of additional bone loss and peri-implantitis around dental implants.
Materials and methods
Two hundred seventy-seven external hex connection implants placed in the posterior maxilla of 124 patients were retrospectively evaluated. They were divided into two groups: physiologic bone loss < 2 mm (PBL) or additional bone loss ≥ 2 mm (ABL). GEE logistic regression was applied to evaluate the influence of type of prostheses (implant-supported single crown (ISSC), fixed partial denture (ISFPD), and full denture (ISFD)) and clinical parameters (mPI and S/BOP) on bone loss.
Results
Among the 277 implants, 159 (57.4%) presented PBL and 118 (42.6%) presented ABL. Within the ABL group, 20.6% implants were diagnosed with peri-implantitis. mPI significantly correlated with the type of prosthesis and the highest value of mPI (index = 3) was observed in ISFD (23.8%). Moreover, peri-implantitis was more frequently associated with ISFD (32.79%) than ISSC and ISFDP (13.79% and 13.48, respectively)
Conclusions
ISFD in the posterior maxilla presented high rates of ABL and showed a higher prevalence of peri-implantitis. None of the local factors seemed to contribute to the development of these conditions. Further investigations are needed to prospectively support the results of the present study.
Clinical relevance
Patients rehabilitated with ISFD should be carefully monitored and have more frequent maintenance visits to prevent or control peri-implant bone loss.
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Introduction
Peri-implant bone loss has a multifactorial pathogenesis and it is linked to a multitude of risk factors related to the dental implant (i.e., surface modifications, position, type of prosthesis, implant-abutment connection, timing of loading), to the patient (i.e., systemic and local factors), and to the clinician (i.e., technical skills) [1, 2]. Patient-related systemic factors mainly include the previous history of periodontitis, diabetes, and smoking habits, while local factors mostly involve parafunctional habits, bone quality and quantity, and poor plaque control [1, 3].
A controlled bone loss 1-year post-loading (less than 1.5 mm) and an additional 0.2 mm yearly after the first year of function has been generally accepted [4, 5]; however, additional values of bone loss should be investigated in depth. The gradual loss of marginal bone after osseointegration, without a bacterial infection able to cause bleeding and/or suppuration, can be identified as late or additional bone loss (ABL) [6]. ABL was reported to be initiated and maintained over time by iatrogenic factors or local conditions, such as occlusal trauma, implant features, and prosthetic restorations [4, 7, 8]; however, in the presence of ABL along with inflammation of the peri-implant connective tissues (i.e., bleeding and/or suppuration), peri-implantitis can be claimed [3]. The clinical diagnosis of peri-implantitis remains a controversial issue since the absence of univocal diagnostic criteria and specific thresholds [9]; specifically, it has been reported that the determination of a physiological probing depth (PD) at implant sites is difficult [3] and that PD and bleeding on probing (BOP) did not seem to be correlated with the mean bone loss [9]. In addition, bone loss is usually evaluated on radiographs where a difference of about 1–2 mm could be purely assigned as inter-examiner different assessments[10]. Therefore, peri-implantitis is an inappropriate term to describe all the cases of crestal bone loss [11], although progressive crestal bone loss around implants in the absence of clinical signs of soft tissue inflammation is a rare event [3].
The impact of the type of implant-supported prostheses on peri-implant bone loss and peri-implantitis remains unclear [12, 13]. There is also a need for a deeper understanding of the role of prosthetic-related local factors, contributing to the development of peri-implant bone loss [13, 14]. The question whether platform-matched implants are more at risk for failure and loss of marginal bone than platform-switched implants has received increasing attention in the last years. A recent meta-analysis (2015) by Chrcanovic et al. [15] suggested that there is a significantly less MBL at implants with platform switching than on implants with platform matching; this difference increase with the increase of the follow-up time and of the mismatch between the implant platform and the abutment. Another hot topic is the one abutment one-time workflow. Indeed, definitive abutments placed at implant insertion and never removed might be a critical strategy to ensure minimal disruption to the peri-implant hard and soft tissues and to preserve marginal bone level, although further RCTs with longer follow-up are needed to better understand the clinical significance of such approach [16, 17].
The anatomical and morphological structure of the upper jaw, which has a lower density and a reduced bone volume and may consequently undergo a high degree of alveolar ridge resorption, is considered to be critical to the success of dental implants [18,19,20,21]; furthermore, the heavy masticatory load in the posterior regions might also influence the success rate in this area [20]. Vervaeke et al. [22] reported high values of peri-implant bone loss in smokers and in the maxilla, corroborating the scientific literature showing that maxillary implants generally present more severe or more frequent cases of peri-implantitis than implants placed in the mandible [13, 20, 23, 24].
Therefore, the aim of the present study was to evaluate whether peri-implant clinical parameters (modified plaque index (mPI), bleeding, and/or suppuration on probing (B/SOP)) as well as local factors, such as type of prostheses, screw emergence, platform diameter, and abutment angulation might contribute to the development of ABL and eventually peri-implantitis around dental implants in the posterior maxilla.
Material and methods
Sample selection
The present study was undertaken at the periodontal clinic of the center of research and continuing education at the Federal University of Santa Catarina (UFSC), Brazil. All patients signed a consent form authorizing data collection, following approval by the Ethics Committee on Human Research of the UFSC, Brazil (approval number: 1.430.035). The study was conducted in accordance with the Helsinki Declaration of 1975, as revised in 2004.
One hundred twenty-four patients, who were treated with titanium dental implants from March 2000 to March 2010 and were rehabilitated with implant-supported fixed prostheses in the Center of Research in Dental Implants (CEPID) of the Health Sciences Center of the same university, were enrolled in the present study.
Only the implants installed in the posterior region of the maxilla were included in the study to specifically assess the peri-implant bone loss associated with the heavy masticatory load that occurs in the posterior region. Patients with incorrect and/or incomplete medical records and requiring grafting or sinus lift prior to implant placement, implants with an inadequate distance between the teeth and implants (tooth-implant distance < 1.5 mm, inter-implant distance <3 mm) [25, 26], and poorly handled or distorted periapical radiographs were all excluded. Supportive periodontal/peri-implant therapy after prosthesis installation was performed according to the individual’s demands.
All implants were analyzed at least 12 months after prosthesis installation. Data related to the prostheses, such as type of prostheses, screw emergence, platform diameter, and abutment angulation were collected. Specifically, the type of prostheses was divided into implant-supported single crown (ISSC), implant-supported fixed partial denture (ISFPD), implant-supported full denture (ISFD). The screw emergence, defined as the location of the screw access regarding the occlusal face of prosthetic crowns, was divided into ideal (centralized), buccally or lingually oriented. Finally, platform diameter was classified as narrow: 3.3, regular: 4.1, or wide: 5.0 and abutment angulation as 0° or 17°. Metal-ceramic crowns were used to develop single crowns and partial dentures, and metal-acrylic dentures were used in the case of full-arch rehabilitations. Only screw-retained prostheses were performed and included in the study. To perfectly recreate the patient’s occlusion, prostheses were developed according to the position of casts on the articulator and further verified by interocclusal records to ensure correct intercuspation and maintenance of the vertical dimension of occlusion [27].
The following clinical parameters were measured by a calibrated periodontist to reduce the intra-examiner error (k > 0.75) using a millimeter periodontal probe (PCV12PT, Hu-Friedy Inc, Chicago, IL, USA) (Fig. 1 a and b) and when necessary, the screw-retained prostheses were removed:
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Presence of bacterial plaque according to modified plaque index (mPI) [28], in four sites per implant (mesial, buccal, distal, and lingual): score 0–3. Only the highest value per implant was recorded;
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Bleeding or suppuration upon probing (B/SOP): number of sites out of four (mesial, buccal, distal, and lingual) per implant with positive bleeding or suppuration up to 30 s after probing. Probing was gently conducted parallel to the long axis of the dental implant to avoid false positive. Probing pressure was standardized during periodontist calibration [29, 30]. Moreover, radiographic bone loss (RBL) was measured on intraoral periapical radiographs taken by the mean of parallel cone technique using a Rinn alignment system (Insight Film Kodak, Carestream, Rochester, NY, USA) with a rigid film-object x-ray source coupled to a beam-aiming device to achieve reproducible exposure geometry [31]; an acrylic radiographic stent was customized for each implant allowing the patient to bite in the same position during the follow-up visits. After digital scanning of each radiograph, the measurements were performed on both sides of each implant platform (mesial and distal) by a previously calibrated single examiner (RSM) using an image analysis software (version 3.7.0 Digimizer, Medical Software Brolkstraat, Belgium). In order to determine the intra-examiner reproducibility, repeated measures were performed with a 7-day interval (k > 0.75). The means of the two measurements (0 and 7 days) were calculated and the highest bone loss value was established for each implant. To correct the dimensional distortion in the radiograph, the software was calibrated with the true implant diameter and length. The values were obtained as modifications in the distance between the implant platform and the first radiographic bone contact with the implant on both the mesial (MBL) and on the distal (DBL) sides (Fig. 1c). According to the amount of bone loss, implants were divided into implants presenting physiologic bone loss (PBL) when < 2 mm or additional bone loss (ABL) when ≥ 2 mm, as proposed by Souza et al. (2013) [6]. The association of ABL with B/SOP was considered peri-implantitis [4,5,6, 32, 33], while the presence of PBL with B/SOP was classified as peri-implant mucositis [34]. Each radiograph was taken at the moment of the prosthesis’s installation and every year during the follow-up visit (Fig. 2).
Statistical analysis
Since the data are clustered, i.e., with repeated measurements (number of implants) for each patient, generalized estimating equations (GEE) in a logistic regression setting provide a good way to model the data. This technique takes into account the correlation within the cluster during the analysis [35, 36]. Statistical analysis was performed using the Statistical Software R (version3.6.2). To assess whether there were differences in the proportion of patients with ABL according to the explanatory variables, the GEE method was applied using the R package gee [37]. When the response variables were mPI and BOP, the multinomial GEE logistic regression model was applied using the R package multgee [38]. The GEE logistic regression models were fitted by specifying an “unstructured” working correlation structure. Odds ratios and 95% confidence intervals (CI) based on robust standard errors were computed. The Wald test based on solid standard error was used to assess the significance of each factor.
Firstly, the univariate effect of each factor related to local bone loss was analyzed; then, the effect of local factors on mPI and BOP was evaluated and finally, the impact of the type of prosthesis when controlled for mPI and BOP was assessed.
Results
A total of 124 patients (43 men and 81 women, mean age 51 years) and 277 screw-retained external hex connection dental implants (219 Conexão, São Paulo, SP, Brazil; 32 SIN, São Paulo, SP, Brazil; 26 Neodent, Curitiba, PR, Brazil) (mean 2.23 implants/patient) were placed in the posterior maxilla and distributed as reported in Table 1. Among the 124 patients, 21 (16.93%) presented periodontal disease, 9 (7.26%) were smokers, and 12 (9.68%) were ex-smokers. Regarding medical condition, 25 (20.15%) individuals presented arterial hypertension, 11 (8.87%) patients had diabetes, 5 (4.03%) participants revealed osteoporosis, and 5 (4.03%) individuals were previously submitted to radio or chemotherapy to treat cancer.
The mean observation period for all restorations was 37.38 months ± 22.52 (range: 12.02–100.76 months). The frequency and percentage distribution of implants per patient are depicted in Table 2. Among the 277 implants, 159 (57.4%) presented PBL and 118 (42.6%) presented ABL. GEE logistic regression showed that a significantly greater probability to develop ABL (OR: 3.149; 95% CI: 1.256–7.895) was found in implants with mPI 3 (Table 3). Within the ABL group, a total of 57 implants (20.6%) showed also BOP and were diagnosed as implants with peri-implantitis. A significantly greater chance to develop ABL was detected only with BOP 2 (OR: 1.996, 95% CI: 1.022–3.899) (Table 3). None of the analyzed implants showed suppuration upon probing (SOP). Data regarding the peri-implant mean bone loss (mm) according to the different follow-up interval are reported in Appendix Table 14.
Considering the type of implant-supported prostheses, implants rehabilitated with both ISSC (total number: 87; 31.4%) and ISFPD (total number: 89; 32.1%) showed more frequently PBL (63 and 61 implants, respectively) than ABL (24 and 28 implants, respectively); on the other hand, ISFD (total number: 101; 36.5%) was more often associated with ABL (66 implants) than PBL (35 implants). ABL was 1.745 (OR) time more likely in ISFD than ISSC (P value < 0.001, 95% CI: 2.828–11.601) and 4.450 (OR) than in ISFD than ISFPD (P value < 0.001, 95% CI: 2.173–9.111). Screw emergence, platform diameter, and abutment angulation showed no significant association with bone loss (Tables 4 and 5).
Frequency and percentage distribution of implants with mPI 0, 1, 2, and 3, according to the type of prosthesis, screw emergence, platform diameter, and angulation, are shown in Table 6. After GEE logistic regression, it was found that the type of prosthesis showed a statistically significant effect on mPI. Specifically, significantly higher values of mPI (2 and 3) had a high association with implants rehabilitated with FD (9.9% and 23.8%, respectively) and mPI 2 and 3 were respectively 4.640 (OR) and 11.309 (OR) more likely in ISFD than in ISSC (mPI 2: P value 0.038; 95% CI: 1.091–19.738; mPI 3: P value 0.008; 95% CI: 1.897–67.413) (Table 7). Besides, both lingual and buccal screw emergency had a significant impact on the mPI 1, 2, and 3 either when compared to mPI 0 or to mPI 1 (Table 8). Abutment angulation did not affect mPI.
Table 9 shows the frequency and percentage distribution of implants with BOP 0, 1, 2, and 3 according to the type of prosthesis, screw emergence, platform diameter, and angulation. Only type of prosthesis revealed significant impact with BOP; specifically, ISFPD when compared to ISSC had 8.782 more chance to have BOP 3 when the base outcome was BOP 0 and 20.658 when the base outcome was BOP 1 (Table 10).
Finally, considering the association between the type of prosthesis and the occurrence of peri-implantitis, it was found that 7 implants (2.53%) rehabilitated with ISSC presented both mPI and ABL, 5 implants (1.8%) rehabilitated with ISFPD presented both mPI and ABL, and 33 implants (11.91%) supporting ISFD presented both mPI and ABL (Table 11). Accordingly, considering the association between the type of prosthesis and the occurrence of peri-implantitis, it was found that 12 implants (4.3%) rehabilitated with ISSC presented both BOP and ABL, 12 implants (4.3%) rehabilitated with ISFPD presented BOP and ABL, and 33 implants (11.9%) supporting FD presented BOP and ABL (Table 12). GEE multivariate logistic regression regarding mPI, BOP, and type of prosthesis in comparison with PBL and ABL corroborates the hypothesis that peri-implantitis is significantly associated with ISFD (P < 0.001; 95% CI: 2.301–11.035) (Table 13).
Discussion
The posterior region of the maxilla is known to present low bone density and be subjected to heavy masticatory loads [20], which might be associated with ABL. Indeed, French et al. [39] retrospectively reported cases of implants placed in the posterior mandible and posterior maxilla with equivalent crestal bone levels at the baseline; however, the bone loss percentage was found to increase at a faster rate in the posterior maxilla. Moreover, Noda et al. [40] stated that the placement of dental implants in the posterior maxilla should be considered as a risk factor for late implant failure. The maxillary location of dental implants had been even identified as a statistically significant risk indicator for the development of peri-implantitis [41]. Francetti et al. [42] reported that the cumulative proportion of implants with peri-implantitis was significantly higher in the maxilla than in mandible after a 10-year observation period. In the present study, a total of 57 out of 277 implants (20.6%) presented peri-implantitis, corroborating the results of a recent systematic review, which found an estimated weighted mean prevalence of peri-implantitis of 22% (14–30%) [39, 43]. None of the analyzed implants showed suppuration upon probing. Nevertheless, consensus statements indicate that suppuration is a common finding at sites diagnosed with peri-implantitis [44]. In addition, other consensus conferences defined peri-implantitis as “infection with suppuration associated with clinically significant crestal bone loss” [11]. Based on this definition, a 10-year clinical prospective study showed low incidences of peri-implantitis [45], while a more recent study [46] detected suppuration in 30.16% of peri-implantitis diagnosed patients, corresponding to 17.39% implants with suppuration.
Regarding the type of prostheses, there are disagreements concerning the different behavior between single-implant prostheses and multiple retained prostheses supported by dental implants [12, 13]. Nevertheless, the present study revealed significant differences between the type of prostheses for mPI values of 2 and 3 and demonstrated that the ABL was lower in the presence of ISSC than ISFPD and ISFD. Indeed, the impact of ISFD on the bone loss was significantly higher than the one of ISFPD and ISSC, corroborating the hypothesis that implants rehabilitated with ISFD had a significantly greater chance of bone loss and peri-implant inflammation than ISSC or ISFPD [13, 47]. This data were further supported by GEE multivariate logistic regression regarding mPI, BOP, and type of prosthesis in comparison with PBL and ABL showing a significant association to ISFD (P < 0.001; 95% CI: 2.301–11.035). Indeed, besides the higher prevalence of bone loss in ISFD, this type of prostheses also presented higher mPI, probably due to cleaning-related issues, which in turn might contribute to ABL, as observed in the present study. There is considerable evidence indicating that plaque accumulation is the main etiological factor for peri-implant soft tissue inflammation [7, 48, 49]; however, a previous history of periodontal disease and full-mouth rehabilitation was identified as risk factors for peri-implantitis [13]; therefore, the type of prosthesis should be carefully chosen during the treatment plans of patients at risk of peri-implantitis. Accordingly, a significantly greater chance to develop ABL was detected in implants with BOP 2, but unexpectedly not with BOP 3; this might be due to the limited number of cases associated with BOP 3 and evaluated in the present study. Indeed, only 11 implants showed BOP 3, so the sample size was very low compared to the number of implants [48] showing BOP 2.
Finally, it is important to relate local factors, such as screw emergence, implant platform diameter, and angulation of the prosthetic abutment to bone loss as these variables can be controlled in an implant-supported rehabilitation [13, 48]. However, our data show that they did not impact on both mPI and BOP apart from the screw emergence that either in its lingual or in its buccal position showed more chance of ABL.
Indeed, peri-implantitis has recently been categorized in plaque induced, surgically and prosthetically triggered and it has been shown that they are different entities associated with distinguishing predictive profiles. A deep knowledge of the risk factors can drive the implant treatment planning but also the clinical decision-making to solve complications and, last but not least, the identification of specific factors involved in peri-implantitis onset might be the essential precondition for treatment success [50]. Hence, the importance of the present study in searching for a relation between peri-implant clinical parameters and local factors potentially affecting bone loss in order to orient clinicians toward the appropriate causal treatment approach.
The present clinical results should be read considering that this is a retrospective evaluation and that some of the enrolled patients, who presented periodontal disease, smoking habits, hypertension, diabetes, osteoporosis and cancer, were not withdrawn from the sample and, somehow, could have affected the results. This latter point has not been verified in the present study with correlation analyses due to the small number of patients affected by systemic diseases, which would have not led to achieve any statistical significance regarding an eventual impact of systemic diseases on ABL and or peri-implantitis.
Therefore, prospective studies with clinical and radiological baseline data that reflect the status after initial healing and remodeling, with an appropriate sampling frame, adequate sample size and sampling method are needed to draw final conclusions on the effects of local factors on the incidence of peri-implantitis. Finally, only hexagonal platform connections were included in the present study, although there is a current trend to install platform switching or Morse taper connections. Indeed, platform-switched implants have been shown to decrease bone loss compared with non-platform-switched implants since there is no abutment connection near the crestal bone [51]; therefore, a similar study analyzing only conical connections in the posterior maxilla might be interesting.
Further randomized and controlled trials are needed to support the results of the present study.
Conclusions
Within the limitation of the present retrospective study, it could be concluded that half of the implants presenting ABL were diagnosed with peri-implantitis. Moreover, peri-implant inflammation, ABL, and peri-implantitis showed a higher prevalence in implants restored with ISFD, due to their greater association with high index mPI. Therefore, patients rehabilitated with ISFD should be carefully monitored and have more frequent maintenance visits to prevent or control peri-implant bone loss.
References
De Bruyn H, Christiaens V, Doornewaard R et al (2017) Implant surface roughness and patient factors on long-term peri-implant bone loss. Periodontol 2000:73,218–73,227
Doornewaard R, Christiaens V, De Bruyn H et al (2017) Long-term effect of surface roughness and patients’ factors on crestal bone loss at dental implants. A systematic review and meta-analysis. Clin Implant Dent Relat Res 19:372–399
Schwarz F, Derks J, Monje A, Wang HL (2018) Peri-implantitis. J Periodontol 89(Suppl 1):S267–S290
Albrektsson T, Buser D, Chen ST, Cochran D, DeBruyn H, Jemt T, Koka S, Nevins M, Sennerby L, Simion M, Taylor TD, Wennerberg A (2012) Statements from the Estepona consensus meeting on peri-implantitis, February 2-4, 2012. Clin Implant Dent Relat Res 14:781–782
Albrektsson T, Zarb G, Worthington P, Eriksson AR (1986) The long-term efficacy of currently used dental implants: a review and proposed criteria of success. Int J Oral Maxillofac Implants 1:11–25
De Souza JGO, Neto AR, Schuldt-Filho G, Dalago HR, de Souza Júnior JM, Bianchini MA (2013) Impact of local and systemic factors on additional peri-implant bone loss. Quintessence Int 44:415–424
Renvert S, Quirynen M (2015) Risk indicators for peri-implantitis. A narrative review. Clin Oral Implants Res 26:15–44
Albrektsson T, Canullo L, Cochran D, De Bruyn H (2016) “Peri-implantitis”: a complication of a foreign body or a man-made “disease”. Facts and fiction. Clin Implant Dent Relat Res 18:840–849
Doornewaard R, Jacquet W, Cosyn J, De Bruyn H (2018) How do peri-implant biologic parameters correspond with implant survival and peri-implantitis? A critical review. Clin Oral Implants Res 29:100–123
Serino G, Sato H, Holmes P, Turri A (2017) Intra-surgical vs. radiographic bone level assessments in measuring peri-implant bone loss. Clin Oral Implants Res 28:1396–1400
Albrektsson T, Buser D, Sennerby L (2012) On crestal/marginal bone loss around dental implants. Int J Prosthodont 25:320–322
Canullo L, Pesce P, Patini R, Antonacci D, Tommasato G (2020) What are the effects of different abutment morphologies on peri-implant hard and soft tissue behavior? A Systematic Review and Meta-Analysis. Int J Prosthodont 33:297–306
Dalago HR, Schuldt-Filho G, Rodrigues MAP, Renvert S, Bianchini MA (2016) Risk indicators for peri-implantitis. A cross-sectional study with 916 implants. Clin Oral Implants Res 28:144–150
Galindo-Moreno P, León-Cano A, Ortega-Oller I, Monje A, O Valle F, Catena A (2014) Marginal bone loss as success criterion in implant dentistry: beyond 2 mm. Clin Oral Implants Res 26:e28–e34
Chrcanovic BR, Albrektsson T, Wennerberg A (2015) Platform switch and dental implants: a meta-analysis. J Dent 43:629–646
Tallarico M, Caneva M, Meloni SM, Xhanari E, Covani U, Canullo L (2018) Definitive abutments placed at implant insertion and never removed: is it an effective approach? A systematic review and meta-analysis of randomized controlled trials. J Oral Maxillofac Surg 76(2):316–324
Perrotti V, Zhang D, Liang A, Wong J, Quaranta A (2019) The effect of one-abutment at one-time on marginal bone loss around implants placed in healed bone: a systematic review of human studies. Implant Dent 28:603–612
Canullo L, Iannello G, Götz W (2011) The influence of individual bone patterns on peri-implant bone loss: preliminary report from a 3-year randomized clinical and histologic trial in patients treated with implants restored with matching-diameter abutments or the platform-switching concept. Int J Oral Maxillofac Implants 26:618–630
Turkyilmaz I, Tözüm TF, Tumer C (2007) Bone density assessments of oral implant sites using computerized tomography. J Oral Rehabil 34:267–272
Schuldt-Filho G, Dalago HR, Souza JG, Stanley K, Jovanovic S, Bianchini MA (2014) Prevalence of peri-implantitis in patients with implant-supported fixed prostheses. Quintessence Int 45:861–868
Gehrke SA, Silva-Neto UT (2014) Does the time of osseointegration in the maxilla and mandible differ? J Craniofac Surg 25:2117–2120
Vervaeke S, Collaert B, Cosyn J, Deschepper E, De Bruyn H (2015) A multifactorial analysis to identify predictors of implant failure and peri-implant bone loss. Clin Implant Dent Relat Res 17:e298–e307
Schwartz-Arad D, Kidron N, Dolev E (2005) A long-term study of implants supporting overdentures as a model for implant success. J Periodontol 76:1431–1435
Passoni BB, Dalago HR, Schuldt-Filho G et al (2014) Does the number of implants have any relation with peri-implant disease? J Appl Oral Sci 22:403–408
Ramanauskaite A, Roccuzzo A, Schwarz F (2018) A systematic review on the influence of the horizontal distance between two adjacent implants inserted in the anterior maxilla on the inter-implant mucosa fill. Clin Oral Implants Res 29(Suppl 15):62–70
Roccuzzo M, Roccuzzo A, Ramanuskaite A (2018) Papilla height in relation to the distance between bone crest and interproximal contact point at single-tooth implants: a systematic review. Clin Oral Implants Res 29(Suppl 15):50–61
Squier RS (2004) Jaw relation records for fixed prosthodontics. Dent Clin N Am 48(vii):471–486
Mombelli A, van Oosten MA, Schurch-Júnior E, Land NP (1987) The microbiota associated with successful or failing osseointegrated titanium implants. Oral Microbiol Immunol 2:145–151
Gerber JA, Tan WC, Balmer TE, Salvi GE, Lang NP (2009) Bleeding on probing and pocket probing depth in relation to probing pressure and mucosal health around oral implants. Clin Oral Implants Res 20:75–78
Cha J, Wadhwani C, Wang M, Hokett SD, Katancik J (2019) Instrument selection and application used to probe dental implants. Int J Oral Maxillofac Implants 34:115–123
Mangano FG, Shibli JA, Sammons RL, Iaculli F, Piattelli A, Mangano C (2014) Short (8-mm) locking-taper implants supporting single crowns in posterior region: a prospective clinical study with 1–to 10-years of follow-up. Clin Oral Implants Res 25:933–940
Lindhe J, Meyle J (2008) Peri-implant diseases: consensus report of the Sixth European Workshop on Periodontology. J Clin Periodontol 35:282–285
Salvi GE, Cosgarea R, Sculean A (2016) Prevalence and mechanisms of peri-implant diseases. J Dental Res 96:31–37
Renvert S, Persson GR, Pirih FQ, Camargo PM (2018) Peri-implant health, peri-implant mucositis, and peri-implantitis: case definitions and diagnostic considerations. J Clin Periodontol 45(Suppl 20):S278–S285
Zeger SL, Liang KY (1986) Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42:121–130
Liang KY, Zeger SL (1986) Longitudinal data analysis using generalized linear models. Biometrika 73:13–22
Carey VJ, Lumley T, and Ripley BD. gee: generalized estimation equation solver, URL http://CRAN.R-project.org/package=gee, R package version 4.13-20
Touloumis A (2015) R package multgee: a generalized estimating equations solver for multinomial responses. J Stat Softw 64:1–14
French D, Grandin HM, Ofec R (2019) Retrospective cohort study of 4,591 dental implants: analysis of risk indicators for bone loss and prevalence of peri-implant mucositis and peri-implantitis. J Periodontol 90(7):691–700
Noda K, Arakawa H, Kimura-Ono A, Yamazaki S, Hara ES, Sonoyama W, Maekawa K, Okura K, Shintani A, Matsuka Y, Kuboki T (2015) A longitudinal retrospective study of the analysis of the risk factors of implant failure by the application of generalized estimating equations. J Prosthodont Res 59:178–184
Konstantinidis IK, Kotsakis GA, Gerdes S, Walter MH (2015) Cross-sectional study on the prevalence and risk indicators of peri-implant diseases. Eur J Oral Implantol 8:75–88
Francetti L, Cavalli N, Taschieri S, Corbella S (2019) Ten years follow-up retrospective study on implant survival rates and prevalence of peri-implantitis in implant-supported full-arch rehabilitations. Clin Oral Implants Res 30:252–260
Derks J, Tomasi C (2015) Peri-implant health and disease. A systematic review of current epidemiology. J Clin Periodontol 42:158–171
Berglundh T, Armitage G, Araujo MG, Avila-Ortiz G, Blanco J, Camargo PM, Chen S, Cochran D, Derks J, Figuero E, Hämmerle CHF, Heitz-Mayfield LJA, Huynh-Ba G, Iacono V, Koo KT, Lambert F, McCauley L, Quirynen M, Renvert S, Salvi GE, Schwarz F, Tarnow D, Tomasi C, Wang HL, Zitzmann N (2018) Peri-implant diseases and conditions: Consensus report of workgroup 4 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Clin Periodontol 45:S286–S291
Östman P-O, Hellman M, Sennerby L (2012) Ten years later. Results from a prospective single-centre clinical study on 121 oxidized (TiUniteTM) Brånemark implants in 46 patients. Clin Implant Dent Relat Res 14:852–860
Ramanauskaite A, Becker K, Schwarz F (2018) Clinical characteristics of peri-implant mucositis and peri-implantitis. Clin Oral Implants Res 29:551–556
Rammelsberg P, Lorenzo-Bermejo J, Kappel S (2017) Effect of prosthetic restoration on implant survival and success. Clin Oral Implants Res 28:1296–1302
Schwarz F, Mihatovic I, Golubovich V, Eick S, Iglhaut T, Becker J (2014) Experimental peri-implant mucositis at different implant surfaces. J Clin Periodontol 41:513–520
Renvert S, Polyzois I (2015) Risk indicators for peri-implant mucositis: a systematic literature review. J Clin Periodontol 42:172–186
Canullo L, Tallarico M, Radovanovic S, Delibasic B, Covani U, Rakic M (2016) Distinguishing predictive profiles for patient-based risk assessment and diagnostics of plaque induced, surgically and prosthetically triggered peri-implantitis. Clin Oral Implants Res 27:1243–1250
Canullo L, Fedele GR, Iannello G, Jepsen S (2010) Platform switching and marginal bone-level alterations: the results of a randomized controlled trial. Clin Oral Implants Res 21:115–121
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Open access funding provided by Università degli Studi G. D'Annunzio Chieti Pescara within the CRUI-CARE Agreement. The work was supported by the Center for Research on Dental Implants, Federal University of Santa Catarina, Brazil.
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M.B.S.: Led the study and supervised clinical procedures.
V.P.: Designed the study, dealt with data collection, analysis, and interpretation and prepared artworks and files for submission and write the relative sections of the paper
F.I.: Drafted and crtically revised the paper
K.C.R.P.: Data analysis
R.S.M.: Data collection, artwork preparation
S.R.: Data interpretation
S.A.G.: Statistical analysis, GEE method
A.P.: Critically revised the manuscript
M.A.B.: Conceived the idea and supervised the study
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee (approval number: 1.430.035) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Informed consent was obtained from all individual participants included in the study.
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Sordi, M.B., Perrotti, V., Iaculli, F. et al. Multivariate analysis of the influence of peri-implant clinical parameters and local factors on radiographic bone loss in the posterior maxilla: a retrospective study on 277 dental implants. Clin Oral Invest 25, 3441–3451 (2021). https://doi.org/10.1007/s00784-020-03666-x
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DOI: https://doi.org/10.1007/s00784-020-03666-x