# Survival Rate of Short, Locking Taper Implants with a Plateau Design: A 5-Year Retrospective Study

Authors: Kemal Özgür Demiralp; Nihat Akbulut; Sebnem Kursun; Didem Argun; Nilsun Bagis; Kaan Orhan
Journal: BioMed Research International
 (2015)

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## Abstract

Background. Short implants have become popular in the reconstruction of jaws, especially in cases with limited bone height. Shorter implants, those with locking tapers and plateau root shapes, tend to have longer survival times. We retrospectively investigated the cumulative survival rates of Bicon short implants
(<8 mm) according to patient variables over a 5-year period. Materials and Methods. This study included 111 consecutively treated patients with 371 implants supporting fixed or removable prosthetics. Data were evaluated to acquire cumulative survival rates according to gender, age, tobacco use, surgical procedure, bone quality, and restoration type. Statistics were performed using chi-square, Mann-Whitney, and Kruskal Wallis H tests. Results. The survival rate was 97.3% with, on average, 22.8 months of follow-up. Patients older than 60 years had higher failure rate than the other age groups (P<0.05). Placed region, age, and bone quality had adverse effects on survival rate in the <8 mm implant group with statistically significant difference (P<0.05). Conclusions. Approximately 23-month follow-up data indicate that short implants with locking tapers and plateau-type roots have comparable survival rates as other types of dental implants. However, due to limitations of study, these issues remain to be further investigated in future randomized controlled clinical trials.


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## Body

## 1. Introduction

The use of short implants (<8 mm), especially in jaws with less bone height, has long been a source of debate and has been associated with a low success rate [1, 2]. However, the development of implant designs such as the plateau root form [3] and implants with surface structures has increased the success rate to above 90% [1].Primary stability, which depends on surgical technique (immediate versus normal placements, stage 1 versus stage 2) and the properties of the bone in which the implant is placed (types I, II, III, and IV), is important for dental implant success [4]. In bone of poor quality, increasing implant diameter may be the only way to increase tolerance to occlusal forces, improve initial stability, and provide a favorable stress distribution to the surrounding bone [5]. Finite element analyses have also suggested that maximum bone stress is particularly related to implant design but practically independent of implant length [6]. Successful osseointegration has been documented [7], and systemic factors such as advanced age and smoking [8] may be related to failure to achieve osseointegration and wound healing [9].The Bicon short implant system (Bicon, LLC) is a screwless implant system. The implant and implant-abutment unit connect with a 3° locking taper in a screwless system [10]. The high-friction force created by the locking taper breaks down the titanium oxide layer, and the metals become fused together in a cold weld [10]. This locking taper connection-type implant with conical abutment has the potential to develop a microbial seal [10, 11], leading to decreased peri-implant bone loss due to microbial invasion and successful osseointegration.In the present study, we retrospectively investigated the cumulative survival rates of Bicon short implants (shorter than 8 mm) and compare them with 8 mm implants according to patient variables in a 5-year cohort study using radiological assessments during long-term follow-up.


## 2. Methods

### 2.1. Study Design and Sample

The present study was a retrospective cohort study. We retrieved patient data, including radiographs, from medical records. The cohort was composed of patients with at least one Bicon short implant (<8 mm) and (8 mm) implants placed between November 2007 and February 2012 at the Faculty of Dentistry, University of Ankara, Ankara, Turkey.All patients provided written informed consent. Ethical approval was obtained from the Human Research Ethics Committee of our institution (clearance certificate: 13-KAEK-131).


### 2.2. Study Variables

#### 2.2.1. Demographics and Health Status

All patient data, including age, gender, and systemic conditions, were noted before the surgical procedure. Age was classified as older or younger than 60. Patients who were categorized as being medically compromised, patients with evidence of bone disease, relevant drug consumption, skeletal asymmetries or trauma, congenital disorders, and pathological disorders of the maxilla or mandible, and syndromic patients were excluded.


#### 2.2.2. Anatomical Variables

From patient files and radiographs, implant location and bone quality (types I–III; there were no type IV cases) were noted. Bone quality was ascertained clinically at the time of implant placement according to surgeon judgment. The two radiologist coauthors investigated patient panoramic X-rays (Figure2) in terms of bone quality. All radiographs were taken with a conventional (Planmeca Proline, Helsinki, Finland) imaging unit at machine settings of 66–70 kVp, 6 mA (Eastman Kodak Co., Rochester, NY, USA), or with a digital unit (Planmeca ProMax) at 66–70 kVp, 8 mA, as recommended by the manufacturer. All postsurgical radiographs were obtained as digital panoramic radiographs. The conventional film radiographs were digitized with a flatbed scanner (Epson Expression 10000 XL) with a transparency adapter. Digitization was performed at 300 dpi and in grayscale. Digital films were stored in a computer database using the manufacturer’s software (Dimaxis Pro, version 4.0.5, Planmeca).


#### 2.2.3. Implant-Specific Variables

The Bicon Integra-CP system (Bicon, LLC) was used (Figure1). Implant-related variables included length (5–8 mm), diameter (3–5 mm), and well size (2-3 mm). It was also noted whether the surgery was a two-stage surgery or an immediate or normal surgical placement. Normal implant placements were carried out in edentulous crestal bone areas. From the patient files, we also noted whether the type of restoration for each implant was a fixed or removable (overdenture) prosthesis.Figure 1
Features of the Bicon short implant.Figure 2
(a) Presurgical radiograph, (b) 6-month follow-up radiograph with (<8 mm) on the right and (8 mm) on the left side of the same patient.
(a)
(b)


#### 2.2.4. Implant Survival Evaluation

Implant failure was the primary outcome variable. For an adequate treatment the following criteria were taken into account: clinical stability with complete function and no discomfort to the patient, no suppuration or infection present, and also no radiolucent areas around the implants in a radiographic examination [1, 7].


#### 2.2.5. Data Management and Statistics

A database was created using Excel (Microsoft), with appropriate checks made to identify errors. Then the data were transferred to the SPSS (Statistical Package for the Social Sciences) software (version 15.0) for statistical analyses. Frequency and percentage distributions were calculated. Based on the results of normality tests, when examining differences between groups, the Mann-WhitneyU test was used in double groups with nonnormal distributions of variables. With more than two groups with nonnormal distributions of variables, the Bonferroni-corrected Kruskal-Wallis H-test was used. To examine dependence between variables, the chi-squared test was used. A P value <0.05 was considered to indicate statistical significance.


## 2.1. Study Design and Sample

The present study was a retrospective cohort study. We retrieved patient data, including radiographs, from medical records. The cohort was composed of patients with at least one Bicon short implant (<8 mm) and (8 mm) implants placed between November 2007 and February 2012 at the Faculty of Dentistry, University of Ankara, Ankara, Turkey.All patients provided written informed consent. Ethical approval was obtained from the Human Research Ethics Committee of our institution (clearance certificate: 13-KAEK-131).


## 2.2. Study Variables

### 2.2.1. Demographics and Health Status

All patient data, including age, gender, and systemic conditions, were noted before the surgical procedure. Age was classified as older or younger than 60. Patients who were categorized as being medically compromised, patients with evidence of bone disease, relevant drug consumption, skeletal asymmetries or trauma, congenital disorders, and pathological disorders of the maxilla or mandible, and syndromic patients were excluded.


### 2.2.2. Anatomical Variables

From patient files and radiographs, implant location and bone quality (types I–III; there were no type IV cases) were noted. Bone quality was ascertained clinically at the time of implant placement according to surgeon judgment. The two radiologist coauthors investigated patient panoramic X-rays (Figure2) in terms of bone quality. All radiographs were taken with a conventional (Planmeca Proline, Helsinki, Finland) imaging unit at machine settings of 66–70 kVp, 6 mA (Eastman Kodak Co., Rochester, NY, USA), or with a digital unit (Planmeca ProMax) at 66–70 kVp, 8 mA, as recommended by the manufacturer. All postsurgical radiographs were obtained as digital panoramic radiographs. The conventional film radiographs were digitized with a flatbed scanner (Epson Expression 10000 XL) with a transparency adapter. Digitization was performed at 300 dpi and in grayscale. Digital films were stored in a computer database using the manufacturer’s software (Dimaxis Pro, version 4.0.5, Planmeca).


### 2.2.3. Implant-Specific Variables

The Bicon Integra-CP system (Bicon, LLC) was used (Figure1). Implant-related variables included length (5–8 mm), diameter (3–5 mm), and well size (2-3 mm). It was also noted whether the surgery was a two-stage surgery or an immediate or normal surgical placement. Normal implant placements were carried out in edentulous crestal bone areas. From the patient files, we also noted whether the type of restoration for each implant was a fixed or removable (overdenture) prosthesis.Figure 1
Features of the Bicon short implant.Figure 2
(a) Presurgical radiograph, (b) 6-month follow-up radiograph with (<8 mm) on the right and (8 mm) on the left side of the same patient.
(a)
(b)


### 2.2.4. Implant Survival Evaluation

Implant failure was the primary outcome variable. For an adequate treatment the following criteria were taken into account: clinical stability with complete function and no discomfort to the patient, no suppuration or infection present, and also no radiolucent areas around the implants in a radiographic examination [1, 7].


### 2.2.5. Data Management and Statistics

A database was created using Excel (Microsoft), with appropriate checks made to identify errors. Then the data were transferred to the SPSS (Statistical Package for the Social Sciences) software (version 15.0) for statistical analyses. Frequency and percentage distributions were calculated. Based on the results of normality tests, when examining differences between groups, the Mann-WhitneyU test was used in double groups with nonnormal distributions of variables. With more than two groups with nonnormal distributions of variables, the Bonferroni-corrected Kruskal-Wallis H-test was used. To examine dependence between variables, the chi-squared test was used. A P value <0.05 was considered to indicate statistical significance.


## 2.2.1. Demographics and Health Status

All patient data, including age, gender, and systemic conditions, were noted before the surgical procedure. Age was classified as older or younger than 60. Patients who were categorized as being medically compromised, patients with evidence of bone disease, relevant drug consumption, skeletal asymmetries or trauma, congenital disorders, and pathological disorders of the maxilla or mandible, and syndromic patients were excluded.


## 2.2.2. Anatomical Variables

From patient files and radiographs, implant location and bone quality (types I–III; there were no type IV cases) were noted. Bone quality was ascertained clinically at the time of implant placement according to surgeon judgment. The two radiologist coauthors investigated patient panoramic X-rays (Figure2) in terms of bone quality. All radiographs were taken with a conventional (Planmeca Proline, Helsinki, Finland) imaging unit at machine settings of 66–70 kVp, 6 mA (Eastman Kodak Co., Rochester, NY, USA), or with a digital unit (Planmeca ProMax) at 66–70 kVp, 8 mA, as recommended by the manufacturer. All postsurgical radiographs were obtained as digital panoramic radiographs. The conventional film radiographs were digitized with a flatbed scanner (Epson Expression 10000 XL) with a transparency adapter. Digitization was performed at 300 dpi and in grayscale. Digital films were stored in a computer database using the manufacturer’s software (Dimaxis Pro, version 4.0.5, Planmeca).


## 2.2.3. Implant-Specific Variables

The Bicon Integra-CP system (Bicon, LLC) was used (Figure1). Implant-related variables included length (5–8 mm), diameter (3–5 mm), and well size (2-3 mm). It was also noted whether the surgery was a two-stage surgery or an immediate or normal surgical placement. Normal implant placements were carried out in edentulous crestal bone areas. From the patient files, we also noted whether the type of restoration for each implant was a fixed or removable (overdenture) prosthesis.Figure 1
Features of the Bicon short implant.Figure 2
(a) Presurgical radiograph, (b) 6-month follow-up radiograph with (<8 mm) on the right and (8 mm) on the left side of the same patient.
(a)
(b)


## 2.2.4. Implant Survival Evaluation

Implant failure was the primary outcome variable. For an adequate treatment the following criteria were taken into account: clinical stability with complete function and no discomfort to the patient, no suppuration or infection present, and also no radiolucent areas around the implants in a radiographic examination [1, 7].


## 2.2.5. Data Management and Statistics

A database was created using Excel (Microsoft), with appropriate checks made to identify errors. Then the data were transferred to the SPSS (Statistical Package for the Social Sciences) software (version 15.0) for statistical analyses. Frequency and percentage distributions were calculated. Based on the results of normality tests, when examining differences between groups, the Mann-WhitneyU test was used in double groups with nonnormal distributions of variables. With more than two groups with nonnormal distributions of variables, the Bonferroni-corrected Kruskal-Wallis H-test was used. To examine dependence between variables, the chi-squared test was used. A P value <0.05 was considered to indicate statistical significance.


## 3. Results

In total, 111 patients were treated with 371 short Bicon implants supporting fixed and removable prostheses. The mean age of the patients was 45.7 (range, 18–67) years; 13.2% of patients were older than 60 and 86.8% were younger than 60 (Table1). Of the patients, 47 (39.9%) were women. All patients were in good health and 28% were smokers (Table 1). Descriptive implant variables are summarized in Table 2.Table 1
Implants placed according to patient demographics.
n (patient)
%
n (implant)
%
Gender
Male
64
57.66
223
60.11
Female
47
42.34
148
39.89
Total
111
100
371
100
Age
Over 60
98
88.3
322
86.79
Under 60
13
11.7
49
13.21
Total
111
100
371
100
Tobacco use
No
79
71.17
267
71.97
Yes
32
28.83
104
28.03
Total
111
100
371
100Table 2
Implant variables.
n
%
Length (mm)
<8 mm
118
31.81
8 mm
253
68.19
Total
371
100
Width (mm)
3 mm
4
1.08
3.5 mm
76
20.49
4 mm
62
16.71
4.5 mm
132
35.58
5 mm
97
26.15
Total
371
100
Well diameter (mm)
2 mm
148
39.89
2.5 mm
1
0.27
3 mm
222
59.84
Total
371
100
Implant region
Mandibular incisor region
29
7.82
Maxillary incisor region
53
14.29
Mandibular premolar-molar region
127
34.23
Maxillary premolar-molar region
162
43.67
Total
371
100
Bone quality
Type I
10
2.70
Type II
278
74.93
Type III
83
22.37
Total
371
100
Surgical technique
Immediate placement
42
11.32
Normal placement
329
88.68
Total
371
100
Restoration type
Crown
56
15.09
Crown-bridge
299
80.59
Overdenture
16
4.31
Total
371
100
Implant survival
Failed
10
2.70
Functional
361
97.30
Total
371
100


### 3.1. Implant Survival Findings

The mean duration of clinical follow-up was 22.8 (range, 2–51) months after surgical placement of the implants (Table3). In total, 10 of the 371 implants failed, giving a cumulative survival rate of 97.3% with, on average, 22.8 months of follow-up (Tables 2 and 3). All failures occurred during the healing or osseointegration phase before prosthetic loading.Table 3
Distribution of implant variables and follow-up time.
n
Mean
Median
Min
Max
SS
Length (mm)
371
7.35
8
5
8
0.95
Width (mm)
371
4.33
4.5
3
5
0.55
Well diameter (mm)
371
2.63
3
2
3
0.47
Follow-up time after surgery (months)
371
22.83
23
2
51
10.90
Follow-up time after prosthesis (months)
371
17.41
18
0
47
10.93Detailed statistical analyses revealed that some factors (demographic, smoking, and anatomical factors) were related with implant success. Patients with implants (<8 mm) older than 60 years had a higher failure rate than the patients under 60 years (P<0.05; Table 4). However, no significant difference was found for 8 mm implants according to age groups in terms of implant failure (P>0.05). Overall, again no statistical significant difference was found according to gender groups in terms of implant failure for both <8 mm and 8 mm groups (P>0.05).Table 4
Implant failure distribution in terms of age group.
Age
Statistical analysis
Implant failure
Under 60
Over 60
Total
n
%
n
%
n
%
Chi-square test
P
<8 mm
Failed
2
1,9
3
27,3
5
4,2
Functional
105
98,1
8
72,7
113
95,8
Fisher’s exact test
0.006
Total
107
100
11
100
118
100
8 mm
Failed
4
1,9
1
2,6
5
2
Functional
211
98,1
37
97,4
248
98
Fisher’s exact test
0.56
Total
215
100
38
100
253
100There was no significant difference (P>0.05) between tobacco users and nonsmokers in terms of implant survival rate (Table 5) for both groups. However, surgical implant placement technique (immediate versus normal placements) significantly affected the survival rate of short implants (P<0.05). Implants placed using the normal surgical technique had a higher survival rate than those placed using the immediate technique (Table 6).Table 5
Survival of implants according to smoking and nonsmoking groups.
Smoking or nonsmoking
Chi-square test
Implant failure
No
Yes
Total
n
%
n
%
n
%
<8 mm
Failed
3
3,7
2
5,6
5
4,2
Functional
79
96,3
34
94,4
113
95,8
Fisher’s exact test
0.64
Total
82
100
36
100
118
100
8 mm
Failed
3
1,6
2
2,9
5
2
Functional
182
98,4
66
97,1
248
98
Fisher’s exact test
0.613
Total
185
100
68
100
253
100Table 6
Survival of implants according to surgical placement technique.
Surgical placement techniques
Statistical analysis
Implant failure
Immediate
Normal
Total
n
%
n
%
n
%
Chi-square test
P
<8 mm
Failed
5
4,4
0
0
5
4,2
Functional
5
100
108
95,6
113
95,8
Fisher’s exact test
0.001
Total
5
100
113
100
118
100
8 mm
Failed
4
10,8
1
0,5
5
2
Functional
33
89,2
215
99,5
248
98
Fisher’s exact test
0.002
Total
37
100
216
100
253
100In Table7, statistical significant difference was found in implant failure between implants placed in the mandibular, premolar-molar regions. It was indicated that the implants shorter than 8 mm (<8 mm) in the mandibular premolar-molar region had higher failure rate than the others (P<0.05). Table 8 shows the implant failure rate versus bone type I, II, or III. Type II bone had higher survival rates while type III had the highest failure rate with a significant difference in implants shorter than 8 mm (<8 mm) whereas no statistical significance was found regarding bone quality (types) in terms of implant failure for 8 mm implants (P>0.05). Similarly, there was no effect of prosthetic rehabilitation on implant failure rate for all implant groups (Table 9).Table 7
Implant failure distribution according to placed region.
Implant failure
Chi-square test
Failed
Functional
Total
n
%
n
%
n
%
P
<8 mm
Placed region
Mandibular incisor
0
0
3
2,7
3
2,5
0.024
Maxillary incisor
0
0
3
2,7
3
2,5
Mandibular premolar-molar
5
100
35
31
40
33,9
Maxillary premolar-molar
0
0
72
63,7
72
61
Total
5
100
113
100
118
100
8 mm
Placed region
Mandibular incisor
0
0
26
10,5
26
10,3
0.255
Maxillary incisor
2
40
48
19,4
50
19,8
Mandibular premolar-molar
3
60
84
33,9
87
34,4
Maxillary premolar-molar
0
0
90
36,3
90
35,6
Total
5
100
248
100
253
100Table 8
Survival of implants according to bone quality.
Implant failure
Chi-square test
Failed
Functional
Total
n
%
n
%
n
%
P
<8 mm
Bone quality
Type I
0
0
1
0,9
1
0,8
0.044
Type II
1
20
94
83,2
95
80,5
Type III
4
80
18
15,9
22
18,6
Total
5
100
113
100
118
100
8 mm
Bone quality
Type I
0
0
9
3,6
9
3,6
0.25
Type II
2
40
181
73
183
72,3
Type III
3
60
58
23,4
61
24,1
Total
5
100
248
100
253
100Table 9
Survival of implants according to prosthetic rehabilitation.
Implant failure
Chi-square test
Failed
Functional
Total
n
%
n
%
n
%
P
<8 mm
Prosthetic rehabilitation
Crown
0
0
21
18,9
21
18,9
0.99
Crown-bridge
0
0
90
81,1
90
81,1
Total
0
0
111
100
111
100
8 mm
Prosthetic rehabilitation
Crown
0
0
28
11,7
28
11,7
1
Crown-bridge
1
100
195
81,6
196
81,7
Overdenture
0
0
16
6,7
16
6,7
Total
1
100
239
100
240
100


## 3.1. Implant Survival Findings

The mean duration of clinical follow-up was 22.8 (range, 2–51) months after surgical placement of the implants (Table3). In total, 10 of the 371 implants failed, giving a cumulative survival rate of 97.3% with, on average, 22.8 months of follow-up (Tables 2 and 3). All failures occurred during the healing or osseointegration phase before prosthetic loading.Table 3
Distribution of implant variables and follow-up time.
n
Mean
Median
Min
Max
SS
Length (mm)
371
7.35
8
5
8
0.95
Width (mm)
371
4.33
4.5
3
5
0.55
Well diameter (mm)
371
2.63
3
2
3
0.47
Follow-up time after surgery (months)
371
22.83
23
2
51
10.90
Follow-up time after prosthesis (months)
371
17.41
18
0
47
10.93Detailed statistical analyses revealed that some factors (demographic, smoking, and anatomical factors) were related with implant success. Patients with implants (<8 mm) older than 60 years had a higher failure rate than the patients under 60 years (P<0.05; Table 4). However, no significant difference was found for 8 mm implants according to age groups in terms of implant failure (P>0.05). Overall, again no statistical significant difference was found according to gender groups in terms of implant failure for both <8 mm and 8 mm groups (P>0.05).Table 4
Implant failure distribution in terms of age group.
Age
Statistical analysis
Implant failure
Under 60
Over 60
Total
n
%
n
%
n
%
Chi-square test
P
<8 mm
Failed
2
1,9
3
27,3
5
4,2
Functional
105
98,1
8
72,7
113
95,8
Fisher’s exact test
0.006
Total
107
100
11
100
118
100
8 mm
Failed
4
1,9
1
2,6
5
2
Functional
211
98,1
37
97,4
248
98
Fisher’s exact test
0.56
Total
215
100
38
100
253
100There was no significant difference (P>0.05) between tobacco users and nonsmokers in terms of implant survival rate (Table 5) for both groups. However, surgical implant placement technique (immediate versus normal placements) significantly affected the survival rate of short implants (P<0.05). Implants placed using the normal surgical technique had a higher survival rate than those placed using the immediate technique (Table 6).Table 5
Survival of implants according to smoking and nonsmoking groups.
Smoking or nonsmoking
Chi-square test
Implant failure
No
Yes
Total
n
%
n
%
n
%
<8 mm
Failed
3
3,7
2
5,6
5
4,2
Functional
79
96,3
34
94,4
113
95,8
Fisher’s exact test
0.64
Total
82
100
36
100
118
100
8 mm
Failed
3
1,6
2
2,9
5
2
Functional
182
98,4
66
97,1
248
98
Fisher’s exact test
0.613
Total
185
100
68
100
253
100Table 6
Survival of implants according to surgical placement technique.
Surgical placement techniques
Statistical analysis
Implant failure
Immediate
Normal
Total
n
%
n
%
n
%
Chi-square test
P
<8 mm
Failed
5
4,4
0
0
5
4,2
Functional
5
100
108
95,6
113
95,8
Fisher’s exact test
0.001
Total
5
100
113
100
118
100
8 mm
Failed
4
10,8
1
0,5
5
2
Functional
33
89,2
215
99,5
248
98
Fisher’s exact test
0.002
Total
37
100
216
100
253
100In Table7, statistical significant difference was found in implant failure between implants placed in the mandibular, premolar-molar regions. It was indicated that the implants shorter than 8 mm (<8 mm) in the mandibular premolar-molar region had higher failure rate than the others (P<0.05). Table 8 shows the implant failure rate versus bone type I, II, or III. Type II bone had higher survival rates while type III had the highest failure rate with a significant difference in implants shorter than 8 mm (<8 mm) whereas no statistical significance was found regarding bone quality (types) in terms of implant failure for 8 mm implants (P>0.05). Similarly, there was no effect of prosthetic rehabilitation on implant failure rate for all implant groups (Table 9).Table 7
Implant failure distribution according to placed region.
Implant failure
Chi-square test
Failed
Functional
Total
n
%
n
%
n
%
P
<8 mm
Placed region
Mandibular incisor
0
0
3
2,7
3
2,5
0.024
Maxillary incisor
0
0
3
2,7
3
2,5
Mandibular premolar-molar
5
100
35
31
40
33,9
Maxillary premolar-molar
0
0
72
63,7
72
61
Total
5
100
113
100
118
100
8 mm
Placed region
Mandibular incisor
0
0
26
10,5
26
10,3
0.255
Maxillary incisor
2
40
48
19,4
50
19,8
Mandibular premolar-molar
3
60
84
33,9
87
34,4
Maxillary premolar-molar
0
0
90
36,3
90
35,6
Total
5
100
248
100
253
100Table 8
Survival of implants according to bone quality.
Implant failure
Chi-square test
Failed
Functional
Total
n
%
n
%
n
%
P
<8 mm
Bone quality
Type I
0
0
1
0,9
1
0,8
0.044
Type II
1
20
94
83,2
95
80,5
Type III
4
80
18
15,9
22
18,6
Total
5
100
113
100
118
100
8 mm
Bone quality
Type I
0
0
9
3,6
9
3,6
0.25
Type II
2
40
181
73
183
72,3
Type III
3
60
58
23,4
61
24,1
Total
5
100
248
100
253
100Table 9
Survival of implants according to prosthetic rehabilitation.
Implant failure
Chi-square test
Failed
Functional
Total
n
%
n
%
n
%
P
<8 mm
Prosthetic rehabilitation
Crown
0
0
21
18,9
21
18,9
0.99
Crown-bridge
0
0
90
81,1
90
81,1
Total
0
0
111
100
111
100
8 mm
Prosthetic rehabilitation
Crown
0
0
28
11,7
28
11,7
1
Crown-bridge
1
100
195
81,6
196
81,7
Overdenture
0
0
16
6,7
16
6,7
Total
1
100
239
100
240
100


## 4. Discussion

After loading, all of the short implants were functional with no complications. Consistent with previous studies, all implant failures were seen in the early phases of treatment [1, 12, 13].One of our main findings is the cumulative survival rate of 97.3% with, on average, 22.8 months of follow-up. The second major finding is the average marginal bone loss of 0.41 mm in the same follow-up time. Consistent with our results, Gentile et al. [2] reported a survival rate of 95.2% in patients with short implants during a 1-year follow-up. Vandeweghe et al. [14] reported a survival rate of 96.5% in 13 patients with short implants supporting single crowns (2 implants failed).Short dental implants have become more popular in recent years because of increased survival and success rates due to changes in design and structural features [1–4, 9, 10, 13–17]. One of the more popular short dental implant systems is the Bicon short implant (Bicon, LLC), which has a conical, 3.0° locking taper, is screwless, and has a plateau root form. The plateau root form provides some benefits in terms of healing and osseointegration, where the healing chambers become filled with a blood clot, which is eventually replaced with new bone, leading to biomechanical fixation [15]. When this process takes place as expected, it leads to significantly improved healing patterns compared to screw root form implants [15]. Plateau designs also have greater surface areas despite being shorter, maximizing osseous contact [12]. A significant advantage of having an abutment-implant connection with a locking taper is that there are no screws that can loosen or fracture or other component failures. It also seals the margin of the abutment—crown—implant interface, which can harbor bacteria [10]. Because of these benefits, Bicon short implants (<8 mm) were used to rehabilitate the patients in the present study.Vehemente et al. [18], using the same type of implant as in the present study, reported 12- and 60-month survival rates of 95.2% and 90.2%, respectively. Rossi et al. [19] reported a survival rate of 95% in a cohort study of 6 mm implants with 24 months of follow-up. Finally, many other studies have reported survival rates of short implants ranging from 88% to 100% [1, 4, 9, 12, 13].In the present study, implants in patients over 60 years old had a lower survival rate (91.84%) than those in younger patients for <8 mm implants (98.14%,P<0.05). These findings may be related to systemic factors that decrease vascularity or contribute to delayed wound healing, such as those seen in the elderly and smokers [8, 9]. In contrast, Gentile et al. [2] reported that the mean age of patients at implant placement did not affect the survival rate of implants.In the present study, surgical procedures affected the survival rate. Implants that were placed using the normal surgical technique had a higher survival rate (P<0.05) than those placed using the immediate surgical technique for both <8 mm and 8 mm implants. Prosthetic loadings were conducted 3–8 months after implant placement, and two-stage surgeries were the other standardized techniques used. Immediate placement of implants has several advantages: fewer surgical interventions, shorter treatment time, ideal three-dimensional implant positioning, presumptive preservation of alveolar bone at the side of tooth extraction, and soft tissue esthetic features [20]. In contrast with the present findings, most studies have suggested no difference between immediate and delayed surgical placement of short implants in terms of survival rate [20–23]. In a 2-year follow-up study by Palattella et al. [22], 16 patients received single tooth replacement with immediate implants and a control group received implants at healed sites; they did not find a statistically significant difference in marginal bone loss between the test and control groups. Other studies have reported similar results [20, 22, 24].In the present study, survival rate factors including gender, tobacco usage, and restoration type did not affect the survival rate of implants but placed region, age, and bone quality did (P<0.05). Consistent with the present findings, Kumar et al. [8] reported that smoking was not related to implant survival or the osseointegration process, especially when using surface-modified dental implants, as in this study. The fact that smoking did not affect the survival rate may have been due to the short follow-up time. Many studies have reported a relationship between smoking and osseointegration failure [8, 9]. Various reports have correlated smoking with poor-quality bone, type IV [8]. Such bone may lower the primary stability of implants. Thus, using surface-modified implants with acceptable primary stability in poorer-quality bone, such as the HA-coated implants used in this study, may be better.We also found no statistically significant differences (P<0.05) between prosthesis types in terms of survival rate of the implant especially between single crown and bridge restorations. Patients restored with crown-bridges had higher degrees of survival rate than those restored with crowns. A possible reason may be the occurrence of lateral or overload application [25]. Aglietta et al. [26] reported that single-unit crowns and short-span fixed dental prostheses with cantilever-supported implants did not show any difference in survival of the implant. Similarly, Naert et al. [27] found that the use of subsequently situated single-implant crowns to restore an edentulous space did not lead to more marginal bone loss than around splinted implants.In conclusion, using HA-coated, short (≤8 mm), plateau-type, locking taper, screwless implants, the cumulative survival rate was 97.3% with an average follow-up of 22.83 months, a satisfactory result. However, placed region, age, and bone quality had adverse effects on survival rate. Randomized controlled clinical trials with longer follow-up should be conducted to determine the cumulative survival rate and benefits of short implants in a grander context.



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*Source: 197451-2015-04-16.xml*