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. 2024 Dec 23;29(1):27. doi: 10.1007/s00784-024-06033-2

Analysis of trends in the context of implant therapy in a university surgical specialty clinic: a 20-year retrospective study

Clemens Raabe 1,5,, Emilio Couso-Queiruga 1, Jennifer Tjokro 1, Daniel Buser 2, Michael M Bornstein 3, Manrique Fonseca 4, Frank Schwarz 5, Vivianne Chappuis 1
PMCID: PMC11666676  PMID: 39714516

Abstract

Objectives

To analyze the trends in the context of implant therapy in a 3-year patient population and compare it with data obtained over the last 20 years.

Materials and methods

All adult subjects who received treatment in the context of implant therapy between 2020 and 2022 were included in this retrospective study. Data regarding patient demographics, indications and location of implant therapy, implant characteristics, surgical techniques, complications, and early implant failures were recorded and compared to data obtained in the years 2002–2004, 2008–2010, and 2014–2016.

Results

Between 2020 and 2022, n = 1555 implants were placed in n = 1021 patients. The mean age at implant placement was 59.9 + 15.1 years, demonstrating an increase over time in the age group 61–80 years of 23.1% and > 80 years of 3.2% (p < 0.0001). Single tooth gaps (48.9%) remained the main indication. The use of narrow diameters ≤ 3.5 mm increased (9.4% vs. 26.6%, p < 0.0001), while implant lengths > 10 mm decreased (45.7% vs. 23.5%, p < 0.0001). A reduction in more invasive techniques and an increase in computer-assisted implant surgeries (CAIS) of 19.5% was found.

Conclusions

The mean age of patients receiving dental implant therapy, with the use of narrow-diameter and shorter implants has progressively increased in the last 20 years. The observed trends suggest a transition from conventional to CAIS, accompanied by the introduction of minimally invasive surgical techniques.

Clinical relevance

The adoption of narrower and shorter implants, along with minimally invasive techniques and CAIS, enables clinicians to tailor treatment plans that accommodate the unique needs of aging patients and optimize clinical outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00784-024-06033-2.

Keywords: Dental implants, Analyses, Demographic, Bone grafting, Sinus floor augmentation, Guided bone regeneration

Introduction

Tooth replacement therapy with dental implants has evolved into a widely established treatment option in contemporary dental practice over the last few decades, providing reliable and satisfactory long-term outcomes [1]. Concurrently, the demographics of the societies have transformed during this period, accompanied by regional variations. Industrialized nations are faced with a progressively aging population, and the substantial cohort of the baby boomer generation is entering advanced stages of life [2]. Therefore, the proportion of patients with medical risk factors, functional limitations, dependency, and frailty is increasing [3, 4]. Simultaneously, teeth in these patients are more predictably maintained in a status compatible with health, and complete edentulism rates have considerably decreased [57]. However, when teeth are lost, patients desire to restore their appearance, function, and quality of life to normal, expecting dental implant therapy to fulfill these needs, which has been shown in a study from Hong Kong with comparable demographics to Switzerland [8]. This is also reflected by an analysis of population trends in the U.S., which observed a significant increase in dental implant prevalence from 0.7% in 1999–2000 to 5.7% in 2015–2016, with the most pronounced growth seen among individuals aged 65 to 74 years [9].

Over the past years, dental medicine has continuously evolved with the goal of improving patient care and also integrating patient-centered outcome criteria as measures for evaluating successful treatment approaches [10]. A progressive shift from conventional, and potentially extensive, clinical procedures to the use of less invasive approaches with lower morbidity, including the help of novel digital technologies, has emerged and consolidated in daily clinical practice. In the context of implant therapy, different approaches such as alveolar ridge preservation have demonstrated their efficacy in attenuating the physiologic bone remodeling that follows unassisted socket healing [11, 12], significantly reducing the need for invasive ancillary bone augmentation procedures [13, 14]. Narrow-diameter and short dental implants have been found to provide similar or only slightly inferior survival and success rates compared to standard diameter/length implants [1517]. They are therefore considered a reliable alternative to minimize the need for augmentation procedures in sites presenting hard tissue deficiencies, while simultaneously lowering patient morbidity. Additionally, modifications in implant micro- and macro-characteristics (e.g., deep-threaded macro designs, micro-rough surfaces with superhydrophilicity) [18, 19], advancements and incorporation of digital technologies such as 3-dimensional (3D) imaging, virtual treatment planning, and computer-assisted implant surgeries (CAIS) [5, 20, 21] have expanded potential indications for implant therapy, have helped in reducing treatment times from implant insertion to delivery of the final restoration, and have also resulted in more in-depth understanding of the planned intervention for the surgeon. These advancements are typically implemented through standardized, research-based protocols in university settings, where dental implant therapy involves comprehensive treatment planning guided by experienced specialists. This approach addresses a diverse patient population, including surgically or medically complex cases referred by general practitioners, with treatment demands influenced by demographic and epidemiological trends [5].

However, there is only scarce information on related trends in the context of implant therapy regarding type of surgical procedures or patient characteristics over time. Hence, the present study aimed to primarily analyze demographics of the implant patient pool at a surgical specialty clinic for the years 2020–2022 and compare the results to the intervals 2002–2004, 2008–2010, and 2014–2016 to identify potential changes [2224]. The secondary aims were to analyze and compare the indications, location of therapy, implant characteristics, surgical techniques, complications, and early implant failures over these two decades. Finally, the null hypothesis was that there is no change in patient demographics (H01), indications (H02), location of therapy (H03), implant characteristics (H04), and surgical techniques (H05) over the two decades analyzed.

Materials and methods

This retrospective study is within the continuum of a study series spanning the periods 2002–2004, 2008–2010, and 2014–2016 conducted in the Department of Oral Surgery and Stomatology at the University of Bern, Switzerland and followed the same methodology as reported in the preceding investigations [2224]. The present retrospective study assesses anonymized health-related data from patients who gave a general consent. It was independently reviewed by the ethics committee of the state of Bern, Switzerland, which determined that it does not fall under the scope of the Human Research Act. Consequently, no formal approval was deemed necessary (ID 2023 − 01522). The study design follows the Federal Policy for the Protection of Human Subjects and is in accordance with the STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology) [25].

Patient selection

This study included all records from patients who received dental implants in the Department of Oral Surgery and Stomatology, University of Bern, Switzerland, from January 2020 to December 2022. The inclusion and exclusion criteria for implant treatment were described in previous publications [26, 27]. In brief, the inclusion criteria consisted of partially and fully edentulous patients receiving dental implants with adequate bone dimensions as per implant specifications. This could include sites requiring simultaneous or staged horizontal and/or vertical bone augmentation. Exclusion criteria encompassed patients with compromised general health and local conditions contraindicating surgical intervention, such as inadequate oral hygiene, uncontrolled periodontal diseases or diabetes, immunodeficiency, high-dose anti-resorptive therapy, pregnancy, or those aged ≤ 18 years. Implants used for skeletal anchorage in orthodontic treatments, such as palatal implants or temporary anchorage devices, were not evaluated in this study.

Clinical procedures

All implant placements were performed under local anesthesia. Antibiotic prophylaxis was prescribed two hours before surgery, based on the patient’s needs. The surgical procedures were conducted by 22 surgeons, consisting of eight senior surgeons and 14 residents specializing in oral surgery. Oversight by experienced senior surgeons ensured the quality of procedures performed by residents. Comprehensive information regarding presurgical assessments, surgical techniques, and postoperative care has been reported in previous studies [2629]. Postoperatively, patients were prescribed oral analgesics and an antiseptic mouth rinse, unless contraindicated for medical reasons.

Descriptive analysis

Over four months (August-December 2023), three examiners (C.R, E.C.Q, and J.T) gathered data from the patient’s records. The primary outcome variable investigated was the age of the implant patient pool for the years 2020–2022 and the comparison with the ones reported for the intervals from 2002 to 2004, 2008–2010, and 2014–2016.

The secondary outcome variables assessed include the following parameters:

  • Indication for implant therapy, classified into a single-tooth gap, extended edentulous gap, distal extension, or fully edentulous jaw;

  • Location of implant therapy, grouped into four regions: anterior maxilla (maxillary canine to maxillary canine), posterior maxilla (premolars and molars in the maxilla), anterior mandible (mandibular canine to mandibular canine), and posterior mandible (premolars and molars in the mandible);

  • Implant characteristics, including length (in mm), diameter (in mm), design (bone-level or soft-tissue-level), and brand (e.g., Straumann, Thommen, Zeramex, Nobel Biocare);

  • Surgical techniques, grouped into (1) standard implant placement (open-flap or flapless implant placement without additional bone augmentation procedures), (2) implant placement with horizontal bone augmentation (HBA, including simultaneous bone augmentation following the principles of Guided Bone Regeneration (GBR) or staged bone augmentation using GBR or autogenous bone block graft), (3) implant placement with sinus floor elevation (SFE) (either simultaneously or staged via a lateral or transcrestal approaches). Additionally, alveolar ridge preservation therapy after tooth extraction and the use of CAIS was also recorded.

  • Postsurgical complications were grouped into hematoma, flap dehiscence, local signs of infection, prolonged postoperative bleeding, and temporary and permanent neurosensory disturbance. Loss of implants was recorded for early implant failures. In line with previous investigations, early implant failures were defined as implants lost during the initial healing period [2224].

Statistical analysis

All statistical analyses were performed with software R, version 4.10 [30]. The abovementioned variables were grouped as follows:

  • Age: ≤40y, 41-60y, 61-70y, > 80y;

  • Indications: single tooth gap, distal extension situation, extended edentulous gap, fully edentulous jaw;

  • Location: anterior maxilla, posterior maxilla, anterior mandible, posterior mandible;

  • Implant diameter: ≤3.5 mm, 3.5–4.5 mm, and > 4.5 mm;

  • Implant length: ≤6 mm, > 6–8 mm, > 8–10 mm, and > 10 mm;

  • Implant design: bone-level (BL), soft-tissue-level (STL);

  • Surgical technique: standard implant placement, implant placement with HBA, implant placement with SFE, associated application of ARP therapy or CAIS strategies.

The data was summarized by bar plots, groups and time. Logistic regression models, involving the calculation of odds ratios (OR), were used to test for trends over time (linear in the parameter). The model’s goodness-of-fit was assessed with the help of the Hosmer-Lemeshow test. If models lacked fit, quasibinomial models were used instead. Throughout, p-values less than 0.05 were considered statistically significant (SS). P-values were variable-wisely corrected using the “Holm” method.

Results

Patient demographics

The period from 2020 to 2022 included a total of 1555 implants in 1021 patients. The mean patient age at implant placement was 59.9 ± 15.1 years (median 63 years) with a gender distribution of 50.7% female (n = 518) and 49.3% male (n = 503) (Table 1; Fig. 1). Notably, 60 patients (31 female, 29 male) with a mean age of 65.8 ± 13.6 years, including 137 implants, were enrolled in randomized controlled trials (RCT). Information on the patient cohort excluding the RCT patients is displayed in Supplementary Tables 1 and Supplementary Fig. 1. When comparing the patient demographics for the four periods 2002–2004, 2008–2010, 2014–2016, and 2020–2022, a SS trend for a decrease in the age groups ≤ 40 years (23.8% vs. 13.0%, OR 0.96, p < 0.0001) and 41–60 years (46.4% vs. 30.9%, OR 0.96, p < 0.0001), whilst an increase in the age groups 61–80 years (28.8% vs. 51.9%, OR 1.06, p < 0.0001), and > 80 years (1% vs. 4.2%, OR 1.08, p < 0.0001) was found.

Table 1.

Age structure for patient and implant populations of the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included)

Period Age < 20 y 21–30 y 31–40 y 41–50 y 51–60 y 61–70 y 71–80 y > 80 y Total
(n) % (n) % (n) % (n) % (n) % (n) % (n) % (n) % (n) %
2002–2004 Women 25 2.1 54 4.5 72 6.0 107 8.9 179 14.8 149 12.4 40 3.3 7 0.6 633 52.5
Men 24 2.0 50 4.1 62 5.1 114 9.5 160 13.3 117 9.7 41 3.4 5 0.4 573 47.5
Total Patients 49 4.1 104 8.6 134 11.1 221 18.3 339 28 266 22.1 81 6.7 12 1.0 1206 100.0
Implants n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
2008–2010 Women 47 3.0 62 4.0 77 4.9 111 7.1 197 13 219 14.0 61 3.9 18 1.1 792 50.5
Men 42 2.7 72 4.6 62 4.0 118 7.5 186 12 203 12.9 81 5.2 12 0.8 776 49.5
Total Patients 89 5.7 134 8.5 139 8.9 229 14.6 383 24 422 26.9 142 9.1 30 1.9 1568 100.0
Implants 135 5.9 165 7.2 171 7.5 283 12.4 576 25 674 29.6 229 10.0 46 2.0 2279 100.0
2014–2016 Women 10 0.7 28 2.0 68 4.8 90 6.3 157 11 232 16.2 110 7.7 33 2.3 728 51.0
Men 20 1.4 49 3.4 53 3.7 105 7.4 149 10 197 13.8 102 7.1 25 1.8 700 49.0
Total Patients 30 2.1 77 5.4 121 8.5 195 13.7 306 21 429 30.0 212 14.8 58 4.1 1428 100.0
Implants 44 1.9 99 4.4 160 7.1 259 11.4 468 21 736 32.6 389 17.2 106 4.7 2261 100.0
2020–2022 Women 9 0.9 24 2.4 38 3.7 46 4.5 112 11.0 152 14.9 116 11.4 21 2.1 518 50.7
Men 3 0.3 20 2.0 39 3.8 58 5.7 99 9.7 155 15.2 107 10.5 22 2.2 503 49.3
Total Patients 12 1.2 44 4.3 77 7.5 104 10.2 211 20.7 307 30.1 223 21.8 43 4.2 1021 100.0
Implants 16 1.0 52 3.3 100 6.4 133 8.6 299 19.2 501 32.2 381 24.5 73 4.7 1555 100.0

Fig. 1.

Fig. 1

Age structure of the patient population for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included)

Indications and location of implant therapy

The 1021 patients presented 1105 indications for implant therapy, acknowledging instances where individual patients presented with multiple indications for dental implant placement. Single tooth gaps (48.9%, n = 540) were the most frequent indication, followed by distal extension (22.9%, n = 253), extended edentulous gaps (17.6%, n = 195), and fully edentulous jaws (10.6%, n = 117) (Table 2; Fig. 2). A larger number of implants was placed in the maxilla (58%, n = 903) compared to the mandible (42%, n = 652) (Table 3; Fig. 3). Notably, 59 indications were allocated to the RCT, including 17 posterior single tooth gaps, one posterior distal extension situation, one posterior extended edentulous gap, and 40 fully edentulous jaws in the mandible. Corresponding study implants were located at the region of the lower lateral incisor (n = 38), canine (n = 44), first premolar (n = 36), and first molar (n = 19). Information on the patient cohort excluding the RCT patients is displayed in Supplementary Table 2, Supplementary Fig. 2, Supplementary Table 3, and Supplementary Fig. 3. When comparing the indications for the four periods, an SS trend for a decrease in single-tooth gaps (56.1% vs. 48.9%, OR 0.98, p = 0.0005) and an increase for edentulous jaws (5.6% vs. 10.6%, OR 1.04, p < 0.0001) was found. Regarding the implant location, a SS trend for fewer implants being placed in the anterior maxilla (27.5% vs. 21.5%, OR 0.99, p = 0.0006) and posterior mandibula (32% vs. 28.3%, OR 0.99, p = 0.01) was found, whilst an increase in the anterior mandible (8.7% vs. 13.7%, OR 1.03, p < 0.0001) and the posterior maxilla (31.8% vs. 36.5%, OR 1.01, p = 0.005) was registered.

Table 2.

Indications for dental implant therapy for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included)

Indications 2002–2004 2008–2010 2014–2016 2020–2022
Indications Implants Indications Implants Indications Implants Indications Implants
Region (n) % (n) % (n) % (n) % (n) % (n) % (n) % (n) %
Single tooth gap Maxilla 469 38.9 522 28.7 576 36.4 659 28.9 609 36.6 623 27.6 375 33.9 390 25.1
Anterior maxilla n/a n/a n/a n/a 329 20.8 353 15.5 308 18.5 318 14.1 159 14.4 162 10.4
Posterior maxilla n/a n/a n/a n/a 247 15.6 306 13.4 301 18.1 305 13.5 216 19.5 228 14.7
Mandible 208 17.3 229 12.6 259 16.4 259 11.4 231 13.9 259 11.5 165 14.9 172 11.1
Anterior mandible n/a n/a n/a n/a 28 1.8 30 1.3 27 1.6 28 1.2 11 1.0 11 0.7
Posterior mandible n/a n/a n/a n/a 231 14.6 250 11.0 204 12.3 216 9.6 154 13.9 161 10.4
Distal extension situation Maxilla 114 9.4 227 12.5 176 11.1 302 13.3 210 12.6 322 14.2 145 13.1 199 12.8
Mandible 141 11.7 258 14.2 170 10.7 251 11.0 162 9.7 256 11.3 108 9.8 145 9.3
Extended edentulous gap Maxilla 131 10.9 274 15.1 233 14.7 409 17.9 238 14.3 368 16.3 135 12.2 222 14.3
Anterior maxilla n/a n/a n/a n/a 103 6.5 208 9.1 120 7.2 195 8.6 70 6.3 112 7.2
Posterior maxilla n/a n/a n/a n/a 130 8.2 201 8.8 118 7.1 173 7.7 65 5.9 110 7.1
Mandible 76 6.3 136 7.5 88 5.6 151 6.6 102 6.1 170 7.5 60 5.4 93 6.0
Anterior mandible n/a n/a n/a n/a 17 1.1 29 1.3 21 1.3 33 1.5 14 1.3 20 1.3
Posterior mandible n/a n/a n/a n/a 71 4.5 122 5.4 81 4.9 137 6.1 46 4.2 73 4.7
Edentulous jaw Maxilla 16 1.3 55 3 28 1.8 98 4.3 51 3.1 148 6.5 25 2.3 92 5.9
Mandible 51 4.2 116 6.4 54 3.4 126 5.5 61 3.7 130 5.7 92 8.3 242 15.6
Total 1206 100.0 1817 100.0 1584 100.0 2279 100.0 1664 100.0 2261 100.0 1105 100.0 1555 100.0

Fig. 2.

Fig. 2

Patient distribution according to the Indication for dental implant therapy for the periods 2002–2004, 2008–2010, 2014–2016, and 2020–2022 (RCT patients included). STG: single tooth gap. DE: distal extension situation. EEG: extended edentulous gap. EJ: edentulous jaw. MAX: Maxilla. MAN: Mandible

Table 3.

Location of dental implant placement according to FDI teeth numbering system for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included)

2020–2022 (n) 6 121 89 70 33 50 86 68 61 37 77 77 121 6 902
% 0.4 7.8 5.7 4.5 2.1 3.2 5.5 4.4 3.9 2.4 5.0 5.0 7.8 0.4 58.0
2014–2016 (n) 9 137 133 122 67 87 157 122 104 75 145 120 170 13 1461
% 0.4 6.1 5.9 5.4 3.0 3.8 6.9 5.4 4.6 3.3 6.4 5.3 7.5 0.6 64.6
2008–2010 (n) 10 137 140 145 69 116 154 141 85 71 137 123 137 3 1468
% 0.4 6.0 6.1 6.4 3.0 5.1 6.8 6.2 3.7 3.1 6.0 5.4 6.0 0.1 64.4
2002–2004 (n) 5 75 97 116 49 79 115 125 81 50 111 85 87 2 1077
% 0.3 4.1 5.3 6.4 2.7 4.3 6.3 6.9 4.5 2.8 6.1 4.7 4.8 0.1 59.3
Maxilla FDI 17 16 15 14 13 12 11 21 22 23 24 25 26 27 Total (n)
Mandible FDI 47 46 45 44 43 42 41 31 32 33 34 35 36 37 Total (n)
2002–2004 (n) 17 151 63 52 61 11 9 8 10 59 43 68 169 19 740
% 0.9 8.3 3.5 2.9 3.4 0.6 0.5 0.4 0.6 3.2 2.4 3.7 9.3 1.0 40.7
2008–2010 (n) 19 178 75 50 58 19 15 12 13 62 49 79 168 14 811
% 0.8 7.8 3.3 2.2 2.5 0.8 0.7 0.5 0.6 2.7 2.2 3.5 7.4 0.6 35.6
2014–2016 (n) 18 175 83 48 73 11 14 10 17 63 46 75 158 9 800
% 0.8 7.7 3.7 2.1 3.2 0.5 0.6 0.4 0.8 2.8 2.0 3.3 7.0 0.4 35.4
2020–2022 (n) 13 121 47 40 70 33 5 6 32 67 52 36 121 10 653
% 0.8 7.8 3.0 2.6 4.5 2.1 0.3 0.4 2.1 4.3 3.3 2.3 7.8 0.6 42.0

Fig. 3.

Fig. 3

Location of dental implant placement for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included). 1 central incisor, 2 lateral incisor, 3 canine, 4 first premolar, 5 second premolar, 6 first molar, 7 second molar

Implant characteristics

Most of the implants were manufactured by Institut Straumann AG (92.1%, n = 1432), followed by Thommen Medical AG (7.5%, n = 117), 3 M (0.3%, n = 4), Zeramex Dentalpoint AG (0%, n = 1), and Nobel Biocare AG (0%, n = 1). Soft-tissue-level implants were used more frequently (87.2%, n = 1356) compared to bone-level implants (12.8%, n = 199). The most common implant diameter was > 3.5–4.5 mm (45.1%, n = 705), followed by > 4.5 mm (28.2%, n = 439), > 2.5–3.5 mm (21.4%, n = 333) and ≤ 2.5 mm (5.2%, n = 81). Implant lengths included > 8–10 mm (64.1%, n = 997), followed by > 10 mm (23.5%, n = 365), > 6–8 mm (11.2%, n = 174), and ≤ 6 mm (1.2%, n = 19) (Table 4; Fig. 4). Information on the patient cohort excluding the RCT patients is displayed in Supplementary Table 4, Supplementary Fig. 4. When comparing the implant diameter for the four periods, a SS trend for an increase in implant diameters ≤ 3.5 mm (9.4% vs. 26.6%, OR 1.08, p < 0.0001) was found, whilst a decrease for > 3.5–4.5 mm (55.2% vs. 45.1%, OR 0.97, p < 0.0001) and > 4.5 mm (35.4% vs. 28.2%, OR 0.98, p < 0.0001) was observed. Regarding implant lengths, a SS trend for an increase in implant lengths > 6–8 mm (8.5% vs. 11.2%, OR 1.02, p = 0.0002) and > 8–10 mm (44.5% vs. 64.1%, OR 1.05, p < 0.0001) was found, whilst a decrease for implant lengths > 10 mm (45.7% vs. 23.5%, OR 0.93, p < 0.0001) was observed. When comparing the implant design for the periods 2008–2010 and 2020–2022, a SS trend for less use of bone-level (27.9% vs. 12.8%, OR 0.92 p < 0.0001) compared to tissue-level implants (72.1% vs. 87.2%, OR 1.08, p < 0.0001) was registered.

Table 4.

Implant characteristics according to implant diameter, length, and design for the patient populations for 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included). STL: soft-tissue-level. BL: Bone-level

Implants (n) Length (mm) Diameter (mm) Design
Characteristics 1.8 2.4 2.9 3.3 3.5 3.75 4.0 4.1 4.5 4.8 5.0 5.5 Total STL BL Total
2002–2004 ≤ 6 0 0 0 0 0 0 0 7 0 18 0 0 25 25 0 25
> 6–8 0 0 0 2 0 0 0 61 0 91 0 0 154 154 0 154
> 8–10 0 0 0 42 0 0 0 432 0 334 0 0 808 808 0 808
> 10 0 0 0 126 0 0 0 503 0 201 0 0 830 830 0 830
Total 0 0 0 170 0 0 0 1003 0 644 0 0 1817 1817 0 1817
2008–2010 ≤ 6 0 0 0 0 0 0 0 9 0 15 0 0 24 24 0 24
> 6–8 0 0 0 5 0 0 0 122 0 105 0 0 232 204 28 232
> 8–10 0 0 0 125 0 0 0 672 0 457 0 0 1254 1036 218 1254
> 10 0 0 0 160 0 0 0 556 0 52 0 0 768 379 389 768
Total 0 0 0 290 0 0 0 1359 0 629 0 0 2278 1643 635 2278
2014–2016 ≤ 6 0 0 0 0 0 0 0 24 0 38 0 0 62 62 0 62
> 6–8 0 0 0 62 0 0 0 110 0 132 0 0 304 286 18 304
> 8–10 0 0 1 314 0 0 0 680 0 383 0 0 1378 1140 238 1378
> 10 0 0 1 185 0 0 0 220 0 18 0 0 424 236 188 424
Total 0 0 2 561 0 0 0 1034 0 5 0 0 2168 1724 444 2168
2020–2022 ≤ 6 0 0 0 0 0 0 0 4 0 15 0 0 19 19 0 19
> 6–8 0 0 0 12 0 0 4 64 8 84 2 0 174 158 16 174
> 8–10 4 31 1 221 5 10 13 381 25 298 1 7 997 895 102 997
> 10 0 46 3 82 9 7 47 121 18 18 12 2 365 284 81 365
Total 4 77 4 315 14 17 64 570 51 415 15 9 1555 1356 199 1555

Fig. 4.

Fig. 4

Implant characteristics for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included). STL: soft-tissue-level. BL: bone-level

Surgical techniques

Standard implant placement protocols without additional bone augmentation were applied in 46.4% (n = 722) of the cases, while 53.6% (n = 833) needed an additional bone augmentation procedure. The most frequent bone augmentation procedure was implant placement in conjunction with simultaneous HBA (31.5%, n = 490), followed by simultaneous SFE (14.1%, n = 220), staged SFE (5.3%, n = 82), and staged HBA procedures (2.6%, n = 41). Regarding SFE, the lateral approach was used in 278 (92%) cases compared to the transcrestal osteotome technique in 24 (8%) cases (Table 5; Fig. 5). Implant placement after alveolar ridge preservation was observed in 4.4% of implants (n = 68) and the application of guided implant placement using sCAIS was observed in 19.5% (n = 304) of the implant cases. Regarding implant location, horizontal bone augmentation was necessary in 60.0% of cases in anterior sites (329 of 548 implants) compared to 23.8% of cases in posterior sites (240 of 1007 implants). Flapless implant placement was limited to carefully selected cases (0.8%, n = 13). Information on the patient cohort excluding the RCT patients is displayed in Supplementary Table 5, Supplementary Fig. 5. When comparing the surgical techniques for the periods 2002–2004 and 2020–2022, a statistically significant trend for a decrease in HBA procedures (39.74% vs. 34.1%, OR 0.99, p = 0.02) and an increase in SFE (11.9% vs. 19.4%, OR 1.03, p < 0.0001) was found.

Table 5.

Applied surgical techniques for dental implant placement for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included). HBA: horizontal bone augmentation. SFE: Sinus floor elevation. FH: conventional, free-handed implant placement. CAIS: computer-assisted implant surgery

Surgical procedure 2002–2004
(n)
% 2008–2010
(n)
% 2014–2016
(n)
% 2020–2022
(n)
%
Standard implant placement 878 48.3 911 40.0 886 39.2 722 46.4
FH 878 48.3 911 40.0 846 37.4 570 36.7
CAIS 0 0.0 0 0.0 40 1.8 152 9.8
Open-flap procedures 878 48.3 877 38.5 854 37.8 709 45.6
Flapless procedures 0 0.0 34 1.5 32 1.4 13 0.8
lmplant placement with HBA 722 39.7 962 42.2 972 43.0 531 34.1
FH 722 39.7 962 42.2 955 42.2 429 27.6
CAIS 0 0.0 0 0.0 17 0.8 102 6.6
Simultaneous HBA 599 33.0 889 39.0 904 40.0 490 31.5
Staged HBA 123 6.8 73 3.2 68 3.0 41 2.6
lmplant placement with SFE 217 11.9 406 17.8 403 17.8 302 19.4
FH 217 11.9 406 17.8 403 17.8 252 16.2
CAIS 0 0.0 0 0.0 0 0.0 50 3.2
Simultaneous osteotome technique 35 1.9 63 2.8 35 1.5 24 1.5
Simultaneous window technique 122 6.7 197 8.6 233 10.3 196 12.6
Staged window technique 60 3.3 146 6.4 135 6.0 82 5.3
Bone augmentation procedures (HBA + SFE) 939 51.7 1368 60.0 1375 60.8 833 53.6
Total 1817 100.0 2279 100.0 2261 100.0 1555 100.0

Fig. 5.

Fig. 5

Applied surgical techniques for dental implant placement for the periods 2002–2004, 2008–2010, 2014–2016 and 2020–2022 (RCT patients included). HBA: horizontal bone augmentation. SFE: Sinus floor elevation. FH: conventional, free-handed implant placement. CAIS: computer-assisted implant surgery

Complications and early failures

The most prevalent postoperative complication was hematoma, which occurred in 11.6% of the patients (n = 111 patients, 163 implants). Flap dehiscence manifested in 4.4% of cases (42 patients, 55 implants). Local signs of infection were identified in 1.6% of cases (15 patients, 18 implants), and were effectively managed by local antiseptic measures using topical application of 3% hydrogen peroxide and 0.2% chlorhexidine. Prolonged postoperative bleedings were registered in 1.4% (13 patients, 24 implants), all of which were successfully addressed. Transient dysesthesia was documented in 0.4% (4 patients, 4 implants). Notably, one patient experienced permanent hypesthesia affecting the mental nerve after harvesting autogenous bone at an interforaminal mandibular donor site. Nevertheless, the patient reported no impairment due to the hypesthesia. Finally, an early implant failure rate of 0.5% was observed, affecting eight implants across seven patients. Detailed information regarding the lost implants is displayed in Table 6.

Table 6.

Early implant failures in the period 2020–2022 (8 implants in 7 patients). STL: soft-tissue-level

Patient Nr. Age Sex Smoking status Implant site Indication Design Diameter (mm) Length (mm) Augmentative procedure
1 55 m light 35 Distal Extension STL 4.1 10 none
2 55 m light 36 Distal Extension STL 4.8 10 none
3 75 m no 11 Edentulous Jaw STL 4.1 10 HBA
4 66 m no 46 Distal Extension STL 4.1 8 none
5 57 f no 43 Edentulous Jaw STL 3.3 12 none
6 76 f no 16 Distal Extension STL 4.8 8 none
7 38 m no 46 Single Tooth Gap STL 5.5 12 ARP
8 63 m heavy 16

Extended

edentulous space

STL 4.1 12 SFE

Discussion

The present study primarily aimed to assess the demographics of a patient pool for dental implant placement for the period 2020–2022 at a surgical specialty clinic and compare the results to previous investigations following the same methodology over 20 years in the same institution. The secondary aims were to analyze changes in indications and locations of therapy, implant characteristics, surgical techniques, complications, and early implant failures for the same periods. For both primary and secondary aims, several trends were found. Therefore, H01, H02, H03, H04, and H05 were rejected.

Patient demographics showed a trend for an increasing patient age from 55.2y (2002–2004), 53.6y (2008–2010), 57.2y (2014–2016), and 59.9 years (2020–2022). Notably, this upward trajectory is primarily attributed to the age cohorts exceeding 60 years, with the most prominent growth in the cohort between 71 and 80 years. This is in line with the results from a study analyzing 7 National Health and Nutrition Examination Surveys conducted in the United States from 1999 to 2016, demonstrating the largest absolute increase of implant prevalence found in the age-group 65–74 years [9]. These age cohorts reflect the so-called baby boom period, which compared to the rest of Europe took place earlier in Switzerland reflecting a demographic development 10 years ahead of the rest of Europe [2]. With the advances in medicine, life expectancies continue to grow and are accompanied with a higher quality of life. According to the World Health Statistics 2023 from the World Health Organization, global life expectancy increased from 67 years to 73 years, from 2000 to 2019. This trend is expected to continue in the near future [31], signaling an increasing need for gerodontologically oriented treatment strategies in older patients. These strategies may prioritize surgical interventions with reduced invasiveness, such as alveolar ridge preservation, utilization of narrow-diameter implants, or CAIS. However, it is crucial to acknowledge that the period 2020–2022 corresponds to the era of the COVID-19 pandemic, marked by governmental restrictions, lockdowns, and considerable discomfort experienced by the population [32]. This is particularly pertinent to patients with increased vulnerability due to systemic factors and/or advanced age. Therefore, older age groups may be underrepresented in the present cohort when compared to the results of the periods 2002–2004, 2008–2010, and 2014–2016. A study by Feher and colleagues evaluated the patient selection and surgical procedures undertaken between March 2020 - December 2020 and compared them to pre-pandemic measures in a specialized implant clinic. Notably, they did not find an effect on patient selection and only a slight effect on surgical procedures [33].

Analysis of implant indications showed single edentulous sites as the most prominent, encompassing nearly half of all implant procedures. Nonetheless, the indications for implant placement exhibited stability across the four investigated periods when considering the patient pool exclusive of RCT participants. This observation appears to contrast with recent analyses predicting a decrease in complete edentulism in the future [57]. A plausible explanation may lie in heightened patient expectations regarding oral health-related quality of life and an increasing acceptance of dental implant therapy over the past few decades. In this context, implant overdentures were found to significantly enhance the quality of life compared to conventional dentures [34, 35] Additionally, it is conceivable that patients screened for the RCTs, who did not meet the inclusion criteria but opted for alternative forms of dental implant therapy, may have contributed to these findings. Interestingly, the location for implant placement remained stable, except for the upper first molar, which exhibited a consistent increase over the investigated periods [2224]. This trend may be ascribed to the increased prevalence of SFE established over time or the alternative utilization of short dental implants.

Over recent decades, progress in implant design, materials, and surface properties has paved the way for the development of narrow-diameter implants (i.e., ≤ 3.5 mm) and short dental implants (i.e., ≤6 mm) [16, 18, 36, 37]. These innovations aim to facilitate implant placement in scenarios characterized by limited conditions such as reduced mesiodistal spaces and horizontal or vertical bone deficiencies. This trend is reflected in the present analysis, where implants with a diameter ≤ 3.5 mm demonstrate an increase in placement. Nevertheless, implants with a diameter ranging from > 3.5 to 4.5 mm, closely followed by those with a diameter exceeding 4.5 mm, still exhibit a higher prevalence nowadays. In terms of implant length, a notable decline in implants exceeding 10 mm is observed. Interestingly, implants with lengths ≤ 6 mm were exclusively used in situations of limited vertical bone availability in the posterior maxilla and mandible. However, its use was merely to avoid complex and invasive vertical bone augmentations [15, 17]. Remarkably, an upward trajectory is noted in the utilization of soft-tissue-level design implants in comparison to bone-level implants, with the latter being the preferred option mostly for single-tooth anterior esthetic area. One possible explanation may be attributed to the increasing, yet limited evidence for a smaller susceptibility for peri-implant diseases in tissue-level implants compared to bone-level implants [38, 39]. This might be an effect of the coronal relocation of the prosthetic interface, optimizing the peri-implant soft tissue adhesion, and the easier restoration due to a partly predefined emergence profile [40]. In bone-level implants, the emergence profile has been associated with a significant correlation between the contour of emergence and peri-implantitis, a relationship not identified in soft-tissue-level implants [41].

In the present investigation, the predominant surgical technique for implant placement was the standard approach involving no additional bone augmentation, with only a few instances employing a flapless approach. However, approximately one-third of implants underwent additional horizontal bone augmentation procedures, indicating a slight decline over time. This reduction might be due to the increased adoption of alveolar ridge preservation techniques during tooth extraction, which was not applied on a routine basis in the previous intervals and is reported for the first time in the present study. These therapies have shown efficacy in minimizing post-extraction dimensional changes [13]. Interestingly, only a minor portion of sites presented pronounced horizontal bone deficiencies requiring a staged approach, which may result from careful consideration of the timing of implant placement after tooth extraction [11, 12, 42, 43]. Over recent decades, there has been a trend for the simultaneous application of SFE, which was most frequently carried out using the lateral window approach. Advances in implant design like deep-threaded and/or tapered implant designs have contributed to reducing the amount of staged SFE by optimizing primary implant stability. Additionally, CAIS was found established on a broad basis in all the above-mentioned procedures, facilitating improved implant placement accuracy in demanding situations [21, 4448]. The overall data represent the shift towards less invasive surgical techniques prioritizing reduced patient morbidity. Positive side effects of this shift include a reduction in treatment time, costs, and risks for possible complications [2]. Nevertheless, the number of early implant failures was constantly low (0.5–0.7%). This is considerably lower compared to the 1.99% as reported in a retrospective study [49].

Nonetheless, the present retrospective study has several limitations. First, the focus on a patient cohort from a single specialized university clinic, largely referred by general dentists, questions the external validity of the findings. The results may not be generalizable to other populations, as patients treated in different clinical settings may have distinct characteristics or access to varying treatment options. Second, regional variations in implant dentistry philosophies may result in other treatment approaches preferred for similar clinical situations, as surgical and reconstructive techniques can vary considerably depending on geographic location and preferred institutional protocols. These differences could influence outcomes and, consequently, limit the external validity of our findings. Third, the variability among the surgeons performing the implant surgeries within and across the study periods introduces potential bias related to personal therapeutic preferences and experience levels. Different surgeons may have different techniques, decision-making processes, and thresholds for intervention, which could influence the results of the study. Fourth, the retrospective design of this study precludes the establishment of causal relationships between confounding factors and determination of the reasons underlying clinical decision-making processes (i.e., reasons for bone augmentation procedures at the time of implant placement) in the included subjects. Further research focusing on the medical aspects of this aging patient population, along with its potential risks and implications for daily clinical practice, is warranted.

Conclusions

Based on the limitations of the present study, it can be concluded that the mean age of patients undergoing dental implant therapy has increased over the two decades under investigation. Furthermore, there is a growing trend toward less invasive surgical techniques, narrower implant diameters (≤ 3.5 mm), and shorter implant lengths (> 6–10 mm), leading to a reduction in the need for bone augmentation procedures before or during implant placement. Additionally, an increasing number of clinical procedures are incorporating computer-assisted technologies.

Supplementary information

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Acknowledgements

The authors would like to Dr. Lukas Martig and Anna Lüber for their efforts and support during the study. Dr. Clemens Raabe was the recipient of a 1-year scholarship from the Professor Dr. Max Cloëtta Foundation.

Appendix

Author contributions

C.R and V.C conceived the idea and designed the study. C.R, E.C.Q, J.T, M.M.B and V.C acquired and analyzed the data. C.R and E.C.Q led the writing. C.R, E.C.Q, J.T, D.B, M.M.B, M.F, F.S, and V.C contributed to data interpretation and critically revised the manuscript. All authors gave final approval and agreed to be accountable for all aspects of the scientific work.

Funding statement

Open Access funding enabled and organized by Projekt DEAL. This study was supported by the Department of Oral Surgery and Stomatology, University of Bern, Switzerland. Dr. Clemens Raabe was the recipient of a 1-year scholarship from the Professor Dr. Max Cloëtta Foundation.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Declarations

Ethics approval

This study has been independently reviewed by the committee of the state of Bern, Switzerland, which determined that it does not fall under the scope of the Human Research Act. Consequently, no formal approval was deemed necessary (ID 2023 − 01522). 

Conflict of interest

C.R has no conflicts of interest to report pertaining to this study. E.C.Q has no conflicts of interest to report pertaining to this study. J.T has no conflicts of interest to report pertaining to this study. M.M.B has no conflicts of interest to report pertaining to this study. F.S has no conflicts of interest to report pertaining to this study. M.F has no conflicts of interest to report pertaining to this study. V.C has no conflicts of interest to report pertaining to this study.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

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Associated Data

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Supplementary Materials

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Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


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