Next Article in Journal
Potential Association between Subclinical Hypothyroidism and Childhood Migraine
Next Article in Special Issue
Diagnostic Mock-Up as a Surgical Reduction Guide for Crown Lengthening: Technique Description and Case Report
Previous Article in Journal
Thyroid-Bed Schwannoma Mimicking a Thyroid Neoplasm: A Challenging Diagnosis: Report of a Case and Literature Review
Previous Article in Special Issue
Neural Basis of Etiopathogenesis and Treatment of Cervicogenic Orofacial Pain
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Medicina
Volume 58
Issue 10
10.3390/medicina58101347
medicina-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Systematic Review

Misfit of Implant-Supported Zirconia (Y-TZP) CAD-CAM Framework Compared to Non-Zirconia Frameworks: A Systematic Review

by
Hussain D. Alsayed
Prosthetic Dental Science Department, College of Dentistry, King Saud University, Riyadh 60169, Saudi Arabia
Medicina 2022, 58(10), 1347; https://doi.org/10.3390/medicina58101347
Submission received: 7 September 2022 / Accepted: 19 September 2022 / Published: 25 September 2022
(This article belongs to the Special Issue Dentistry: A Multidisciplinary Approach)
Browse Figure
Versions Notes

Abstract

:
Objective: The aim of the study was to systematically review the overall outcomes of studies comparing the misfit of yttria-stabilized zirconia (Y-TZP) CAD-CAM implant-supported frameworks with frameworks fabricated with other materials and techniques. Methods: An electronic literature search of English literature was performed using Google Scholar, Scopus, Web of Science, MEDLINE (OVID), EMBASE, and PubMed, using predetermined inclusion criteria. Specific terms were utilized in conducting a search from the inception of the respective database up to May 2022. After the search strategy was applied, the data were extracted and the results were analyzed. The focused question was: Is the misfit of the implant-supported zirconia CAD-CAM framework lower than that of non-Y-TZP implant-supported fixed restorations? Results: Eleven articles were included for qualitative assessment and critical appraisal in this review. In the included studies, Y-TZP CAD-CAM implant-supported frameworks were compared to Titanium (Ti), Ni-Cr, Co-Cr, PEEK and high-density polymer, and cast and CAD-CAM frameworks. The studies used scanning electron microscopy, one-screw tests, digital or optical microscopy, 3D virtual assessment, and replica techniques for analyzing the misfit of frameworks. Six studies showed comparable misfits among the Y-TZP CAD-CAM frameworks and the controls. Three studies showed higher misfits for the Y-TZP CAD-CAM frameworks, whereas two studies reported lower misfits for Y-TZP CAD-CAM implant frameworks compared to controls. Conclusion: Y-TZP CAD-CAM implant-supported frameworks have comparable misfits to other implant-supported frameworks. However, due to heterogeneity in the methodologies of the included studies, the overall numerical misfit of the frameworks assessed in the reviewed studies is debatable

1. Introduction

Dental implants are surgically placed devices that have direct contact with the alveolar bone [1,2]. In addition to supporting single-tooth restorations, they are also used to support and retain prostheses for the restoration of partially or completely edentulous patients [3]. Implant-supported removable and fixed prostheses possess significant advantages over conventional prostheses. In addition to offering superior support [4] and stability [5], implant-supported prostheses preserve residual bone [6] and are esthetically pleasing [7]. It has been estimated that the 5-year success-rate of implant-supported prostheses is as high as 95% [8,9].
Frameworks of implant-supported dentures have conventionally been constructed from cast metals [10]. However, cast implant-supported prostheses have several drawbacks. The clinical phase of these prostheses includes taking impressions which may become easily distorted and damaged during or after the impression-taking process [11]. In addition, the cast metal alloys may undergo distortion during the casting process, resulting in a misfit of up to 450 µm [12,13]. Moreover, the wax pattern of the cast framework may also undergo dimensional changes, resulting in a misfit of the prosthesis [14]. Ideally, a framework should fit passively by not exerting biologically detrimental forces on the supportive teeth, the supportive tissues, and the framework [15]. Furthermore, there should be no gap between the margins of the framework and the supportive tissues and teeth. The misfit is measured by evaluating the distance between the final restoration and the corresponding fitting surfaces. Although the misfit of cast prostheses may be reduced by sectioning and then re-connecting the framework, the mechanical properties of the cast metal may be diminished, which can lead to fractures of the prostheses [16]. Additionally, misfit causes micro-gaps between the implant and the framework. This gap harbors bacteria which may cause infection of the peri-implant tissues [17]. A misfitting framework can also lead to the loosening or even the fracture of prosthetic implant screws [18]. Eventually, long-standing misfit results in the instability of the framework, inducing failure of the dental implants [19].
Over the last few years, prostheses designed and constructed via computer-aided design and computer-aided manufacturing (CAD-CAM) have gained popularity [20]. Briefly, the CAD-CAM process involves three-dimensional (3D) digital scanning of the teeth and related structures in the oral cavity to produce a virtual 3D model. The virtual model is then processed by a computer connected to a milling machine that constructs the prostheses. The milling system produces a prosthesis from a block of homogenous material such as Titanium (Ti) or yttria-stabilized zirconia (Y-TZP) [21]. Studies have indicated that CAD-CAM-constructed prostheses have a significantly lower misfit compared to cast frameworks [22]. There are two types of CAD-CAM systems: additive and subtractive [20]. Additive manufacturing focuses on building appliances and objects layer by layer, while subtractive systems remove material from pre-formed blocks into appliances. Subtractive manufacturing has seen more clinical use than additive manufacturing; however, the latter has gained popularity in the last few years [20]. A recent systematic review of in vitro and clinical studies indicated that CAD-CAM frameworks have significantly better fits compared to cast frameworks [23].
Y-TZP has been a popular material for the construction of CAD-CAM implant-supported frameworks over the last decade, and its market-share is expected to double by 2024 [24]. Indeed, Y-TZP frameworks exhibit exceptional strength and fracture toughness [25]. Clinical studies suggest that Y-TZP frameworks remain stable for more than 5 years post-insertion [26]. Moreover, due to its higher color stability and the biocompatibility and accuracy of CAD-CAM fabrication, Y-TZP presents an attractive alternative to metal alloys from the patients’ perspective [27]. Several in vitro studies have compared the fit (or misfit) of metal alloys and Ti and polymer frameworks with that of Y-TZP CAD-CAM frameworks [28,29,30,31,32,33,34,35,36,37,38]. In a study by Abduo et al., the vertical misfits for Y-TZP and Ti CAD-CAM frameworks were comparable [28]. By contrast, in a study by de Rio Silva et al., Ti CAD-CAM frameworks had a lower misfit compared to Y-TZP frameworks [38]. A controversy exists among the studies reporting the misfit of Y-TZP CAD-CAM with other materials and techniques. So, the aim was to systematically review the overall outcomes of studies comparing the misfit of Y-TZP CAD-CAM implant-supported frameworks with frameworks fabricated with other materials and techniques. I hypothesize that, overall, the misfit of Y-TZP CAD-CAM frameworks will be lower compared to that of frameworks fabricated with other materials.

2. Materials and Methods

2.1. Focused Question

Following the Participants, Intervention, Control, and Outcomes principal described in the Preferred Reporting Items in Systematic Reviews and Meta-Analysis (PRISMA) statement [39], the following focused question was constructed: ‘Is the misfit of implant-supported Zirconia CAD-CAM frameworks lower than that of non-Y-TZP implant-supported fixed restorations?’ (Participants: Patients or study casts; Intervention: Y-TZP CAD-CAM implant-supported dental prostheses; Controls: Non-Y-TZP-supported fixed restorations; Outcomes: Misfit).

2.2. Eligibility Criteria

Before conducting the literature search, eligibility criteria were decided on by the author. Prospective clinical studies, case reports and series, animal studies, and laboratory studies focusing on comparing the fit or misfit of CAD-CAM implant-supported Zirconia fixed restorations with other non-Y-TZP implant-supported restorations were included. Literature from inception to May 2022 was searched. Additionally, only articles in English were included. Studies not in the English language, systematic or literature reviews, and letters to the editor were excluded.

2.3. Literature Search

An electronic search using the keywords ((Zirconia) OR (Y-TZP) AND (Restoration or bridge or framework) AND ((computer-aided design OR CAD)) or (computer-aided manufacture) OR CAM)) AND (full arch OR partial OR complete) AND (control OR titanium OR resin OR cobalt chromium) AND (misfit OR gap OR adaptation) AND (implant)) was conducted on the following databases: PubMED/MEDLINE, ISI Web of Science/Knowledge, Scopus, Embase, and Google Scholar, including studies up to May 2022. Following the exclusion of the non-relevant articles on the basis of titles and abstracts, the full texts of studies appearing to meet the inclusion criteria were downloaded. Additionally, the reference lists of the full-text documents were scanned manually to look for relevant articles. Furthermore, a similar search was repeated using the same keywords on the clinical trial registers CONTROL and clinicaltrials.gov. The literature search was conducted by author (HA) interpedently, and any disagreements were solved by discussion with a statistician.

2.4. Data Extraction

Using predetermined items, the data from each study were extracted to construct tables. Briefly, the materials used to construct the dentures in the test and control groups (if any), the method of denture fabrication, the type of misfit (or fit) assessment employed, measurements of any other variables, and the qualitative outcomes of the studies were summarized in the first table. Summarized information on the implant or abutment system, the dimensions and positions of the dental implants, the type of implant-supported prostheses (fixed or removable, along with the number of units), the CAD-CAM fabrication system, and the numerical values of the misfit or fit was also prepared.

2.5. Quality Assessment

The overall quality of the studies and any bias present in the studies were assessed using a modified version of the ‘Guidelines For Reporting Pre-Clinical In Vitro Studies On Dental Materials’ developed by Mariano [40]. Briefly, in each study, the following items were assessed: an adequate abstract, introduction (background and objects), and methodology (replicability, reporting of adequate outcomes, a predetermined sample size, and details of any randomization, blinding, or concealment employed), adequate statistics, a mention of any limitations in the discussion, funding details, and, if any, the protocol of the study was accessible. A 15-point checklist was used to grade each study. Each study was assigned an overall quality of low (score: 0–5), medium (score: 6–10), or high (score: 11–15).

3. Results

3.1. Results of the Literature Search

The primary literature search resulted in 105 articles. 25 articles were eliminated on the basis of titles. Of the 80 articles, 66 articles were further excluded after the review of the abstracts and on the basis of relevance. Therefore, the full texts of 14 articles were downloaded to assess their eligibility for inclusion in this review. Three full-text articles were excluded because two of them were systematic reviews [41,42] and one did not include any controls to which to compare the misfit of the Y-TZP prosthesis [43]. Hence, 11 articles were included for qualitative assessment and critical appraisal in this review [28,29,30,31,32,33,34,35,36,37,38]. The study methodology is presented in Figure 1. The overall Kappa (intra-examiner reliability) score was calculated as 0.87.

3.2. General Characteristics

All studies included in this review were in vitro laboratory studies that compared the fit or misfit of Y-TZP CAD-CAM implant-supported frameworks with other materials or fabrication methods [28,29,30,31,32,33,34,35,36,37,38] (Table 1). In six studies, Ti CAD-CAM frameworks were included in the comparison groups [28,31,36,37,38]. In one study, cast Ni-Cr frameworks were included as a comparison [29], and Cast Co-Cr frameworks were compared with CAD-CAM Y-TZP in four studies [30,31,32,38]. In two studies, CAD-CAM was also used to construct Co-Cr frameworks as comparison groups [30,32], and in one study, mechanically scanned CAD-CAM Y-TZP frameworks were also tested [31]. CAD-CAM Y-TZP frameworks were compared with frameworks constructed from CAD-CAM polyetheretherketone (PEEK) and CAD-CAM resin composites in one study [33]. In one study, the effect of porcelain veneering on the misfit of Y-TZP and Ti CAD-CAM frameworks was assessed [34], and in another study, a CAD-CAM high-density polymer (HDP) framework was tested against CAD-CAM Y-TZP [35]. Copy-milled Y-TZP frameworks were constructed in three studies [29,38]. In addition to marginal or vertical misfit, four studies also compared cyclic fatigue [29], retention [33], loosening torque [37,38], and stress [38] between different frameworks.
In six studies, vertical misfit or fit was analyzed [28,29,30,31,32,35,36,37,38]. In one study, the internal misfit was assessed [33], and in another study, the three-dimensional (3D) misfit of the frameworks was assessed [34]. In four studies, scanning electron microscopy (SEM) was used to analyze the misfit [30,31,32,37]. In four studies, the one-screw test was used to analyze the misfit [31,35,36,38], and in two studies, digital or optical microscopy was used for fit analysis [28,29]. 3D virtual assessment was used to determine the misfit in one study [34], and the ‘replica technique’ was used to determine the internal misfit in one study [33].
In the studies reviewed, the following implant systems or brands were used: Nobel Biocare Active RP (three studies [30,34,35]), Mk III TiUnite by Nobel Biocare [28], Friatz by Dentsply [29], Replace SelectTM Tapered RP by Nobel Biocare [31], Titamax Cortical Ti by Neodent [32], an unspecified brand by Nobel Biocare [36], ITI Straumann [37], and Easy Grip Porous EH [38]. In one study, the implant system was not specified [33]. The length of the implants ranged from 9 mm to 13 mm and from 3.75 mm to 4.3 mm [28,29,30,31,32,33,34,35,36,37,38] (Table 2).
In three studies, three-unit fixed partial dentures (FDP) were constructed [29,30,32], and in five studies, full arch fixed dentures on four implants (all-on-four) were constructed [28,34,35,36,37]. In one study, a ten-unit fixed prosthesis supported by six implants was constructed [31], and in one study, six implants supported a fixed prosthesis [38]. In the included studies, the following CAD systems were used: Zirkozahn (four studies [34,35,36,37]), Nobel Biocare [28,31], Cerec 3 [29], 3Shape [33], and Ceramill Map [38]. The CAM systems were: M1 Milling Unit (three studies [34,35,36]), M5 Milling Unit [37], 3Shape [33], and Ceramill Motion [38]. In two studies, the CAD-CAM system was not specified [30,32].

3.3. Outcomes of Included Studies

In five studies, the misfits of the Y-TZP CAD-CAM frameworks were comparable to that of Ti CAD-CAM [28,31,35,36,37]. In one study, Ti CAD-CAM had a significantly lower misfit compared to Y-TZP CAD-CAM [38]. Compared to Co-Cr CAD-CAM, in one study, Y-TZP CAD-CAM exhibited a comparable fit [30], and in another one, Co-Cr CAD-CAM had a significantly better fit [32]. When compared to copy-milled Y-TZP and Ni-Cr CAD-CAM frameworks, Y-TZP CAD-CAM had a lower misfit in one study [29]. When compared with PEEK and resin composites, Y-TZP CAD-CAM prosthesis had a better fit [33]. On the other hand, in one study, CAD-CAM frameworks constructed from high-density polymer (HDP) had lower misfits than Y-TZP CAD-CAM frameworks [35].

3.4. Results of the Quality Assessment

Eight studies received an overall quality grade of ‘Medium’ [28,29,30,32,34,35,36,37], one study was graded as ‘Low’ [33], and only two studies were graded as ‘High’ [31,38] (Table 3). All studies contained an adequate abstract and described the statistical tests conducted [28,29,30,31,32,33,34,35,36,37,38]. All but one study contained an adequate introduction [28,29,30,31,32,34,35,36,37,38]. Although all studies contained an introduction [28,29,30,31,32,33,34,35,36,37,38], in one study, the objectives and the background were not adequately stated [33]. One study did not describe the reproducibility and the measurements of the outcomes adequately [33]. Additionally, the same study did not present the numerical mean values of the fit or misfit of dentures [33], and only a qualitative summary of the outcomes was described. A pre-determined sample size was used in only two studies [31,32]. Randomization was employed in only one study [33], but the same study did not describe the randomization process and the personnel involved in its implementation. The investigators and the technicians were blinded in only study [31]. Seven studies described their limitations in the discussion section [28,30,32,34,35,36,38]. On the other hand, two studies did not highlight any limitations of the experiments [33,37], and in two studies, it was not clear if the limitations had been described [29,31]. Three studies did not provide any funding information [29,30,32], and none of the studies provided access to the protocol of the study [28,29,30,31,32,33,34,35,36,37,38] (Table 3).

4. Discussion

CAD-CAM prostheses provide a significant advantage over conventional cast prostheses in terms of the number of patient visits, appointment duration, and accuracy [21]. Additionally, with the application of intraoral scanning and CAD-CAM, there is no need for impression taking and study or cast model construction, making cross infection easier. The aim of this study was to critically appraise and summarize the current evidence comparing the fit of implant-supported Y-TZP CAD-CAM frameworks to that of other metal and non-metal implant frameworks. The majority of the studies included in this review concluded that implant-supported Y-TZP CAD-CAM frameworks have a better or comparable fit to that of cast and CAD-CAM frameworks constructed from Ti, Co-Cr, resin, and PEEK [28,29,31,35,36,37].
The overall outcome of this systematic review suggests an acceptable fit accuracy of Y-TZP CAD-CAM frameworks, but this should be interpreted with caution due to the heterogeneity in the methodology and outcomes of the studies. Several different CAD-CAM systems were used to construct the frameworks [28,29,30,31,32,33,34,35,36,37,38], making the standardization and comparison of the results difficult. In eight studies, conventional CAD-CAM was used to fabricate frameworks; however, in three studies, copy-milling was employed [28,29,38]. As opposed to conventional CAD-CAM, copy-milling involves the digital scanning of a manually constructed wax or resin pattern of the prostheses. Dimensional changes in the constructed pattern may contribute to discrepancies in the misfit of prostheses constructed with this method. However, to date, no comparative studies have been conducted to assess the misfit of copy-milled Y-TZP frameworks to that of CAD-CAM frameworks. Furthermore, the types of implant abutments used to support the CAD-CAM Y-TZP frameworks [28,29,30,31,32,33,34,35,36,37,38] differed in the reviewed studies, which makes it difficult to prescribe guidelines for constructing CAD-CAM frameworks with an optimal fit or minimal misfit. Another limitation of the studies was that all of them were in vitro laboratory studies [28,29,30,31,32,33,34,35,36,37,38]. Indeed, it is difficult to measure the misfit of prostheses in vivo [44] because there are several factors that affect not only the misfit of implant-supported prostheses but also the overall lifespan of the prostheses. These factors included masticatory forces, parafunctional habits, the age of the patient, systemic health, and the osseointegration of dental implants [45,46,47,48]. Hence, future studies should attempt to simulate the effects of these factors on the misfit of Y-TZP CAD-CAM frameworks.
The differences among the methods used for the assessment of the misfit make it difficult to reach a definite conclusion regarding the misfit of Y-TZP CAD-CAM frameworks to other materials. The ‘one-screw’ test involves the placement of a single screw at the terminal implant abutment, and the opposing abutment is evaluated for movement radiographically or clinically. This test was used in four studies in this review [31,35,36,38]; however, its major limitation is its primary reliance on manual measurements with the naked eye, making the assessments unreliable in many cases. Indeed, this inconsistency is reflected by the results of the four studies that have compared the misfit of Y-TZP CAD-CAM to that of Ti CAD-CAM: in three studies, Y-TZP exhibited either a lower or comparable misfit [31,34,36], and in one study, Ti frameworks possessed a lower misfit [38]. Only two studies made use of CT scanning or virtual scanning to assess the misfit [34,36]. Indeed, the relatively large range of the misfit of the Y-TZP CAD-CAM frameworks (3.7 µm to 103.71 µm) is most likely due to the non-standardization of misfit assessments, so future studies should focus on reproducible and standardized techniques to compare the misfit of frameworks. Nevertheless, due to variations in the fabrication techniques, material phase, and equipment type used, attaining ideal standardization among the Y-TZP misfit studies may not be pragmatic. It is also important to note that CAD-CAM Y-TZP crowns have an approximate success rate of 70% after 24 months, and the most likely reason for this is fatigue-failure [49]. Therefore, more studies focusing on the reasons for CAD-CAM framework misfit and the resultant failures should be conducted. Nevertheless, a recent retrospective clinical study on implant-supported CAD-CAM Y-TZP denture frameworks provided to 50 patients found no long-term failures after 2 years, which makes the long-term viability of Y-TZP CAD-CAM frameworks promising [50]. Nevertheless, for the adequate functionality and survival of implant-supported prostheses, optimal oral hygiene is vital, and patients should be educated about this during and after treatment [51].
In addition to the above concerns, there were multiple sources of bias found in the studies. A pre-determined sample size was used in only two studies [31,32], and the sample sizes in the remaining studies may have not been sufficient to produce reliable results. Furthermore, no study mentioned any attempt in blinding the investigators or technicians during the experiments. Although it is difficult to blind the investigators from the materials due to their difference in appearance, it may be possible to blind the experimental groups corresponding to the measurements of the misfit assessments in future studies. In the majority of the studies, randomization was not attempted, which may have contributed to selection bias within the studies. A major limitation of this systematic review itself was that it was not possible to conduct a meta-analysis because of the heterogeneity of the studies included. Thus, it was not possible to deduce an overall misfit effect of the results. Therefore, to achieve a certain level of standardization among the misfit evaluation investigations, further studies should incorporate blinding, randomization, similar misfit evaluation methods, and analyzed sample sizes.
In addition to CAD-CAM Zirconia frameworks, the 3D printing of such denture frameworks may provide an additional advantage of additive manufacturing leading to the reduced wastage of material and reduced costs [52]. Nevertheless, a lack of clinical trials or other prospective studies to assess the misfit of the Y-TZP CAD-CAM means that, to date, it is difficult to ascertain whether the misfit of these frameworks is lower or comparable to other types of frameworks. Consequently, large-scale clinical studies and standardized in vitro studies with minimal bias are necessary to make a more definite conclusion.

5. Conclusions

Within the limitations of this review and the included studies, it may be concluded that Y-TZP CAD-CAM implant-supported frameworks have a comparable misfit to other CAD-CAM implant-supported frameworks. However, due to the heterogeneity in the methodologies of the included studies, the overall numerical misfit of the frameworks tested in the studies is debatable. Better-designed in vitro and long-term clinical studies are required to reach a more definite conclusion.

Funding

The research did not receive any funding.

Institutional Review Board Statement

Not applicable (Review study).

Informed Consent Statement

Informed consent was not needed, as it is a review study.

Data Availability Statement

The data are available upon request from the author.

Acknowledgments

I would like to acknowledge the statistician (M.M.) who assisted me in the analysis of data in the review.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Zhang, Y.; Gulati, K.; Li, Z.; Di, P.; Liu, Y. Dental implant nano-engineering: Advances, limitations and future directions. Nanomaterials 2021, 11, 2489. [Google Scholar] [CrossRef] [PubMed]
  2. Liu, Y.; Rath, B.; Tingart, M.; Eschweiler, J. Role of implants surface modification in osseointegration: A systematic review. J. Biomed. Mat. Res. Part A 2020, 108, 470–484. [Google Scholar] [CrossRef] [PubMed]
  3. Bagegni, A.; Abou-Ayash, S.; Rücker, G.; Algarny, A.; Att, W. The influence of prosthetic material on implant and prosthetic survival of implant-supported fixed complete dentures: A systematic review and meta-analysis. J. Prosthodont. Res. 2019, 63, 251–265. [Google Scholar] [CrossRef] [PubMed]
  4. Duong, H.Y.; Roccuzzo, A.; Stähli, A.; Salvi, G.E.; Lang, N.P.; Sculean, A. Oral health-related quality of life of patients rehabilitated with fixed and removable implant-supported dental prostheses. Periodontology 2022, 88, 201–237. [Google Scholar] [CrossRef]
  5. Varghese, K.G.; Gandhi, N.; Kurian, N.; Daniel, A.Y.; Dhawan, K.; Joseph, M.; Varghese, M.G. Rehabilitation of the severely resorbed maxilla by using quad zygomatic implant-supported prostheses: A systematic review and meta-analysis. J. Prosthet. Dent. 2021; in press. [Google Scholar] [CrossRef]
  6. Oh, W.-S.; Saglik, B.; Bak, S.-Y. Bone loss in the posterior edentulous mandible with implant-supported overdentures vs complete dentures: A systematic review and meta-analysis. Int. J. Prosthodont. 2020, 33, 184–191. [Google Scholar] [CrossRef]
  7. Topçu, A.O.; Yamalik, N.; Güncü, G.N.; Tözüm, T.F.; El, H.; Uysal, S.; Hersek, N. Implant-site related and patient-based factors with the potential to impact patients’ satisfaction, quality of life measures and perceptions toward dental implant treatment. Implant Dent. 2017, 26, 581–591. [Google Scholar] [CrossRef]
  8. Doundoulakis, J.H.; Eckert, S.E.; Lindquist, C.C.; Jeffcoat, M.K. The implant-supported overdenture as an alternative to the complete mandibular denture. J. Am. Dent. Assoc. 2003, 134, 1455–1458. [Google Scholar] [CrossRef]
  9. Kreissl, M.E.; Gerds, T.; Muche, R.; Heydecke, G.; Strub, J.R. Technical complications of implant-supported fixed partial dentures in partially edentulous cases after an average observation period of 5 years. Clin. Oral Implants Res. 2007, 18, 720–726. [Google Scholar] [CrossRef]
  10. McLaughlin, J.B.; Ramos, V., Jr.; Dickinson, D.P. Comparison of Fit of Dentures Fabricated by Traditional Techniques Versus CAD-CAM Technology. J. Prosthodont. 2019, 28, 428–435. [Google Scholar] [CrossRef]
  11. Yun, M.-J.; Jeon, Y.-C.; Jeong, C.-M.; Huh, J.-B. Comparison of the fit of cast gold crowns fabricated from the digital and the conventional impression techniques. J. Adv. Prosthodont. 2017, 9, 1–13. [Google Scholar] [CrossRef]
  12. Mitha, T.; Owen, C.P.; Howes, D.G. The three-dimensional casting distortion of five implant-supported frameworks. Int. J. Prosthodont. 2009, 22, 248–250. [Google Scholar] [PubMed]
  13. de Torres, E.M.; Rodrigues, R.C.S.; de Mattos, M.d.G.C.; Ribeiro, R.F. The effect of commercially pure titanium and alternative dental alloys on the marginal fit of one-piece cast implant frameworks. J. Dent. 2007, 35, 800–805. [Google Scholar] [CrossRef] [PubMed]
  14. Diwan, R.; Talic, Y.; Omar, N.; Sadiq, W. The effect of storage time of removable partial denture wax pattern on the accuracy of fit of the cast framework. J. Prosthet. Dent. 1997, 77, 375–381. [Google Scholar] [CrossRef]
  15. Tischler, M.; Patch, C.; Bidra, A.S. Rehabilitation of edentulous jaws with zirconia complete-arch fixed implant-supported prostheses: An up to 4-year retrospective clinical study. J. Prosthet. Dent. 2018, 120, 204–209. [Google Scholar] [CrossRef] [PubMed]
  16. Henriques, G.E.P.; Consani, S.; de Almeida Rollo, J.M.D.; e Silva, F.A. Soldering and remelting influence on fatigue strength of cobalt-chromium alloys. J. Prosthet. Dent. 1997, 78, 146–152. [Google Scholar] [CrossRef]
  17. Lauritano, D.; Moreo, G.; Lucchese, A.; Viganoni, C.; Limongelli, L.; Carinci, F. The impact of implant–abutment connection on clinical outcomes and microbial colonization: A narrative review. Materials 2020, 13, 1131. [Google Scholar] [CrossRef] [PubMed]
  18. Yannikakis, S.; Prombonas, A. Improving the fit of implant prosthetics: An in vitro study. Int. J. Oral Maxillofac. Implants 2013, 28, 126–134. [Google Scholar] [CrossRef]
  19. Pan, Y.; Tsoi, J.K.H.; Lam, W.Y.H.; Pow, E.H.N. Implant framework misfit: A systematic review on assessment methods and clinical complications. Clin. Implant Dent. Relat. Res. 2021, 23, 244–258. [Google Scholar] [CrossRef]
  20. Baba, N.Z.; AlRumaih, H.S.; Goodacre, B.J.; Goodacre, C.J. Current techniques in CAD-CAM denture fabrication. Gen. Dent. 2016, 64, 23–28. [Google Scholar]
  21. Baba, N.Z.; Goodacre, B.J.; Goodacre, C.J.; Müller, F.; Wagner, S. CAD-CAM complete denture systems and physical properties: A review of the literature. J. Prosthodont. 2021, 30, 113–124. [Google Scholar] [CrossRef]
  22. Steinmassl, O.; Dumfahrt, H.; Grunert, I.; Steinmassl, P.A. CAD/CAM produces dentures with improved fit. Clin. Oral Investig. 2018, 22, 2829–2835. [Google Scholar] [CrossRef] [PubMed]
  23. Pereira, A.L.C.; de Medeiros, A.K.B.; de Sousa Santos, K.; de Almeida, É.O.; Barbosa, G.A.S.; Carreiro, A.D.F.P. Accuracy of CAD-CAM systems for removable partial denture framework fabrication: A systematic review. J. Prosthet. Dent. 2021, 125, 241–248. [Google Scholar] [CrossRef] [PubMed]
  24. Share & Trends Analysis Report By Product (Titanium Implants, Zirconium Implants), By Region (North America, Europe, Asia Pacific, Latin America, MEA), And Segment Forecasts, 2018–2024. Personalized Medicine Market Analysis By Product And Segment Forecasts To 2018. 2022. Available online: https://www.marketresearch.com/Grang-View-Research-v4060/Dental-implant-size-share-trends-14163164/Chapter5 (accessed on 10 July 2022).
  25. Shetty, R.; Shoukath, S.; Shetty, N.H.G.; Shetty, S.K.; Dandekeri, S.; Ragher, M. A novel design modification to improve flexural strength of zirconia framework: A comparative experimental in vitro study. J. Pharm. Bioallied Sci. 2020, 12 (Suppl. 1), S495–S503. [Google Scholar] [CrossRef] [PubMed]
  26. Pott, P.C.; Eisenburger, M.; Stiesch, M. Survival rate of modern all-ceramic FPDs during an observation period from 2011 to 2016. J. Adv. Prosthodont. 2018, 10, 18–24. [Google Scholar] [CrossRef] [PubMed]
  27. Agustín-Panadero, R.; Serra-Pastor, B.; Fons-Font, A.; Solá-Ruíz, M.F. Prospective clinical study of zirconia full-coverage restorations on teeth prepared with biologically oriented preparation technique on gingival health: Results after two-year follow-up. Oper. Dent. 2018, 43, 482–487. [Google Scholar] [CrossRef] [PubMed]
  28. Abduo, J.; Lyons, K.; Waddell, N.; Bennani, V.; Swain, M. A comparison of fit of CNC-milled titanium and zirconia frameworks to implants. Clin. Implant Dent. Relat. Res. 2012, 14 (Suppl. 1), e20–e29. [Google Scholar] [CrossRef] [PubMed]
  29. Zaghloul, H.H.; Younis, J.F. Marginal fit of implant-supported all-ceramic zirconia frameworks. J. Oral Implantol. 2013, 39, 417–424. [Google Scholar] [CrossRef]
  30. de França, D.G.; Morais, M.H.; das Neves, F.D.; Barbosa, G.A. Influence of CAD-CAM on the fit accuracy of implant-supported zirconia and cobalt-chromium fixed dental prostheses. J. Prosthet. Dent. 2015, 113, 22–28. [Google Scholar] [CrossRef]
  31. Katsoulis, J.; Mericske-Stern, R.; Rotkina, L.; Zbären, C.; Enkling, N.; Blatz, M.B. Precision of fit of implant-supported screw-retained 10-unit computer-aided-designed and computer-aided-manufactured frameworks made from zirconium dioxide and titanium: An in vitro study. Clin. Oral Implants Res. 2014, 25, 165–174. [Google Scholar] [CrossRef]
  32. de Araújo, G.M.; de França, D.G.; Silva Neto, J.P.; Barbosa, G.A. Passivity of conventional and CAD-CAM fabricated implant frameworks. Braz. Dent. J. 2015, 26, 277–283. [Google Scholar] [CrossRef]
  33. Ghodsi, S.; Zeighami, S.; Meisami Azad, M. Comparing retention and internal adaptation of different implant-supported, metal-free frameworks. Int. J. Prosthodont. 2018, 31, 475–477. [Google Scholar] [CrossRef] [PubMed]
  34. Yilmaz, B.; Alshahrani, F.A.; Kale, E.; Johnston, W.M. Effect of feldspathic porcelain layering on the marginal fit of zirconia and titanium complete-arch fixed implant-supported frameworks. J. Prosthet. Dent. 2018, 120, 71–78. [Google Scholar] [CrossRef] [PubMed]
  35. Yilmaz, B.; Kale, E.; Johnston, W.M. Marginal discrepancy of CAD-CAM complete-arch fixed implant-supported frameworks. J. Prosthet. Dent. 2018, 120, 65–70. [Google Scholar] [CrossRef] [PubMed]
  36. Al-Meraikhi, H.; Yilmaz, B.; McGlumphy, E.; Brantley, W.; Johnston, W.M. In vitro fit of CAD-CAM complete arch screw-retained titanium and zirconia implant prostheses fabricated on 4 implants. J. Prosthet. Dent. 2018, 119, 409–416. [Google Scholar] [CrossRef] [PubMed]
  37. da Cunha Fontoura, D.; de Magalhães Barros, V.; de Magalhães, C.S.; Vaz, R.R.; Moreira, A.N. Evaluation of Vertical Misfit of CAD-CAM Implant-Supported Titanium and Zirconia Frameworks. Int. J. Oral Maxillofac. Implants 2018, 33, 1027–1032. [Google Scholar] [CrossRef] [PubMed]
  38. Del Rio Silva, L.; Velôso, D.V.; Barbin, T.; Borges, G.A.; Presotto, A.G.C.; Mesquita, M.F. Can ceramic veneer spark erosion and mechanical cycling affect the accuracy of milled complete-arch frameworks supported by 6 implants? J. Prosthet. Dent. 2020, 126, 772–778. [Google Scholar] [CrossRef] [PubMed]
  39. Jadad, A.R.; Moore, R.A.; Carroll, D.; Jenkinson, C.; Reynolds, D.J.; Gavaghan, D.J.; McQuay, H.J. Assessing the quality of reports of randomized clinical trials: Is blinding necessary? Control. Clin. Trials 1996, 17, 1–12. [Google Scholar] [CrossRef]
  40. Faggion, C.M., Jr. Guidelines for reporting pre-clinical in vitro studies on dental materials. J. Evid. Based Dent. Pract. 2012, 12, 182–189. [Google Scholar] [CrossRef]
  41. Abduo, J.; Lyons, K.; Swain, M. Fit of zirconia fixed partial denture: A systematic review. J. Oral Rehabil. 2010, 37, 866–876. [Google Scholar] [CrossRef]
  42. Bousnaki, M.; Chatziparaskeva, M.; Bakopoulou, A.; Pissiotis, A.; Koidis, P. Variables affecting the fit of zirconia fixed partial dentures: A systematic review. J. Prosthet. Dent. 2020, 123, 686–692. [Google Scholar] [CrossRef]
  43. Svanborg, P.; Norström Saarva, V.; Stenport, V.; Eliasson, A. Fit of 3Y-TZP complete-arch implant-supported fixed dental prostheses before and after porcelain veneering. J. Prosthet. Dent. 2019, 122, 137–141. [Google Scholar] [CrossRef] [PubMed]
  44. Liedke, G.S.; Spin-Neto, R.; da Silveira, H.E.D.; Wenzel, A. Radiographic diagnosis of dental restoration misfit: A systematic review. J. Oral Rehabil. 2014, 41, 957–967. [Google Scholar] [CrossRef] [PubMed]
  45. Farina, A.P.; Spazzin, A.O.; Pantoja, J.M.; Consani, R.L.X.; Mesquita, M.F. An in vitro comparison of joint stability of implant-supported fixed prosthetic suprastructures retained with different prosthetic screws and levels of fit under masticatory simulation conditions. Int. J. Oral Maxillofac. Implants 2012, 27, 833–838. [Google Scholar]
  46. Farina, A.P.; Spazzin, A.O.; Consani, R.L.; Mesquita, M.F. Screw joint stability after the application of retorque in implant-supported dentures under simulated masticatory conditions. J. Prosthet. Dent. 2014, 111, 499–504. [Google Scholar] [CrossRef] [PubMed]
  47. Denardi, R.J.; da Silva, R.D.; Thomé, G.; Andrighetto, A.R.; de Freitas, R.M.; Shimizu, R.H.; Shimizu, I.A.; Melo, A.C. Bone response after immediate placement of implants in the anterior maxilla: A systematic review. Oral Maxillofac. Surg. 2019, 23, 13–25. [Google Scholar] [CrossRef] [PubMed]
  48. Zhou, Y.; Gao, J.; Luo, L.; Wang, Y. Does Bruxism Contribute to Dental Implant Failure? A Systematic Review and Meta-Analysis. Clin. Implant Dent. Relat. Res. 2016, 18, 410–420. [Google Scholar] [CrossRef]
  49. Gherlone, E.; Mandelli, F.; Capparè, P.; Pantaleo, G.; Traini, T.; Ferrini, F. A 3 years retrospective study of survival for zirconia-based single crowns fabricated from intraoral digital impressions. J. Dent. 2014, 42, 1151–1155. [Google Scholar] [CrossRef]
  50. Cappare, P.; Ferrini, F.; Mariani, G.; Nagni, M.; Cattoni, F. Implant rehabilitation of edentulous jaws with predominantly monolithic zirconia compared to metal-acrylic prostheses: A 2-year retrospective clinical study. J. Biol. Regul. Homeost. Agents 2021, 35 (Suppl. 1), 99–112. [Google Scholar]
  51. Cattoni, F.; Tetè, G.; D’orto, B.; Bergamaschi, A.; Polizzi, E.; Gastaldi, G. Comparison of hygiene levels in metal-ceramic and stratified zirconia in prosthetic rehabilitation on teeth and implants: A retrospective clinical study of a three-year follow-up. J. Biol. Regul. Homeost. Agents 2021, 35 (Suppl. 1), 41–49. [Google Scholar]
  52. Gungor-Ozkerim, P.S.; Inci, I.; Zhang, Y.S.; Khademhosseini, A.; Dokmeci, M.R. Bioinks for 3D bioprinting: An overview. Biomater. Sci. 2018, 6, 915–946. [Google Scholar] [CrossRef]
Medicina 58 01347 g001 550
Figure 1. PRISMA flow diagram employed for the literature search.
Figure 1. PRISMA flow diagram employed for the literature search.
Medicina 58 01347 g001
Table
Table 1. General characteristics and the overall outcomes of the studies included.
Table 1. General characteristics and the overall outcomes of the studies included.
No.StudyGroups
(n = Number of Frameworks Constructed)		Method of FabricationMisfit AssessmentOther Assessed
Variables		Overall Outcomes
TestControl
1Abduo et al. 2012 [28]Y-TZP CAD-CAM (n = 5)Ti CAD-CAM (n = 5)Copy milling (subtractive)Optical microscopy;
Vertical passive fit		StrainVertical misfits for Y-TZP and Ti CAD-CAM groups were comparable.
Passive misfit for Y-TZP CAD-CAM was significantly lower than that of Ti CAD-CAM.
No significant difference in strain among both groups.
2Zaghloul & Younis et al. 2013 [29]Y-TZP CAD-CAM (n = 10)
Y-TZP Copy Milling (n = 10)		Ni-Cr Cast (n = 10)CAD-CAM
Copy milling (subtractive)		Digital microscopy; Vertical marginal fitCyclic fatigueY-TZP CAD-CAM had the highest marginal misfit.
No significant difference between Y-TZP copy milling and N-Cr cast frameworks.
3de França et al. 2014 [30]Y-TZP CAD-CAM (n = 4)Co-Cr Cast (n = 8)
Co-Cr CAD-CAM (n = 4)		CAD-CAM (milled/subtractive)SEM; Vertical fitNoneAll CAD-CAM frameworks had comparable misfits. CAD-CAM frameworks had significantly lower misfits than cast frameworks.
4Katsoulis et al. 2014 [31]Y-TZP CAD-CAM (n = 5)Co-Cr Cast (n = 5)
Y-TZP-M CAD-CAM (n = 5)
Ti CAD/AM (n = 6)		CAD-CAM (subtractive/milling)
Co-Cr cast		One-screw test, SEM; Vertical passive fitNoneNo significant difference was observed for vertical misfit between Y-TZP and Ti CAD-CAM, but both were significantly better than Co-Cr.
5de Araújo et al. 2015 [32]Group 1: Y-TZP CAD-CAM (n = 4)Co-Cr cast (n = 4)
Group 2: Co-Cr CAD-CAM (n = 4)		CAD-CAM, Cast (milled/subtractive)SEM; Vertical passive fitNoneCo-Cr CAD-CAM had a significantly lower misfit than the Y-TZP CAD-CAM and Co-Cr Cast specimens. Y-TZP CAD-CAM had a better fit than the cast frameworks.
6Ghodsi et al. 2018 [33]Y-TZP CAD-CAMPEEK CAD-CAM
RC CAD-CAM		CAD-CAM (milled/subtractive)Replica technique; Internal adaptationRetention forceY-TZP CAD-CAM had a significantly lower misfit than PEEK and RC. No difference between PEEK and RC misfits.
7Yilmaz et al. 2018 [34]Y-TZP CAD-CAM
Before and after veneering		Ti CAD-CAM
Before and after veneering		CAD-CAM (milled/subtractive)3D fit (virtual assessment)NoneY-TZP and Ti CAD-CAM frameworks before and after veneering were comparable. Significant effect of porcelain veneering on Y-TZP frameworks.
8Yilmaz et al. 2018 [35]Y-TZP CAD-CAMHDP CAD-CAM
Ti CAD-CAM		CAD-CAM (milled/subtractive)Marginal misfit; One-screw testNoneHDP had a significantly lower misfit than the Y-TZP and Ti CAD-CAM specimens. No difference between Y-TZP and Ti misfits.
9Al-Meraikhi et al. 2018 [36]Y-TZP CAD-CAM (n = 5)Ti CAD-CAM (n = 5)CAD-CAM (milled/subtractive)Marginal misfit; One-screw test; CT scanning; Color mappingNoneNo significant difference between the fits of the Y-TZP and Ti frameworks was observed.
10da Cunha Fontoura et al. 2018 [37]Y-TZP CAD-CAM (n = 5)Ti CAD-CAM (n = 5)CAD-CAM (milled/subtractrive)Vertical misfit; SEMTorqueNo significant difference between the misfits of the Y-TZP and Ti frameworks.
11Del Rio Silva et al. 2020 [38]Y-TZP Copy-Milling (n = 5)Ti CAD-CAM (n = 5)
Co-Cr Cast (n = 5)		Co-Cr cast (milled/subtractive)Marginal fit; One screw testStress, loosening torqueTi had a lower misfit than Y-TZP. Ti and Y-TZP both had lower misfits than Co-Cr. Veneering improved the fit in all groups.
CNC, computer numerical-controlled milling; CAD-CAM, computer-aided design/computer-aided manufacture; HDP, high-density polymer; Ti, titanium; Y-TZP, zirconia; Y-TZP-M, mechanically scanned Zirconia CAD-CAM; Y-TZP-L, laser-scanned zirconia CAD/CM; Ti-L, laser-scanned titanium CAD-CAM; Co-Cr, cobalt-chromium; SEM, scanning electron microscopy; LMC, left maxillary canine; RMC, right maxillary canine; RMFM, right maxillary first molar; PEEK, polyetheretherketone.
Table
Table 2. Implant-related characteristics and misfit values in the included studies.
Table 2. Implant-related characteristics and misfit values in the included studies.
No.AuthorImplant/Abutment SystemImplant Dimensions/LocationImplant-Supported RestorationFabrication SystemMisfit (µm)
1Abduo et al. 2012 [28]Mk III TiUnite; Nobel Biocare AB;
External hex.		Length: 11.5 mm; diameter: 4.0 mm.
First Premolar and second molar on each side		All-on-four full arch fixed dentureForte, Nobel Biocare, AB (CAD); Fabrication by CAD manufacturer.Vertical misfit:
Y-TZP CAD-CAM: 3.7 µm Ti CAD-CAM: 3.6 µm
Passive misfit:
Y-TZP CAD-CAM: 5.5 µm Ti: 13.6 µm
2Zaghloul & Younis et al. 2013 [29]Friatiz, DentsplyLength: 11 mm,; diameter: 4–5 mm
Second premolar and second molar 		Three-unit FPDCerec 3 CAD-CAM (Y-TZP);
Y-TZP Copy Milling;
Ni-Cr Conventional casting 		Y-TZP CAD-CAM: 84.58 ± 3.767 µm
Y-TZP copy milling: 50.33 ± 3.415 µm
Ni-Cr cast: 42.27 ± 3.766 µm
3de França et al. 2014 [30]Tapered RP; Nobel Biocare; Internal hexTitamax Cortical Ti; Neodent
Diameter: 4.1 mm; length: 9 mm.
Second premolar and second molar 		Three-unit FPD Not specifiedY-TZP CAD-CAM: 5.9 ± 3.6 µm
Co-Cr CAD-CAM:
1.2 ± 2.2 µm
Co-Cr Cast:
Castable abutment: 12.9 ± 11.0 µm
Machined abutment:
11.8 ± 9.8 µm
4Katsoulis et al. 2014 [31]Replace SelectTM
Tapered RP; Nobel Biocare		Diameter: 4.3 mm. RMSPM, RMC, RMCI, LMCI, LMC, LMSPMTen-unit fixed denture on six implantsCAD: Nobel Biocare (Nobel ProceraTM); Nobel Biocare
CAM: Nobel Procera Production Facility; Nobel Biocare		Y-TZP-L: Median 14 µm 95% CI: 10–26 µm
Y-TZP-M: Median 18 µm 95% CI: 12–27 µm
Ti-L: Median 15 µm 95% CI: 6–18 µm
Co-Cr Cast: Median 236 µm
95% CI: 181–301 µm
5de Araújo et al. 2015 [32]Titamax Cortical Ti; NeodentDiameter: 3.75 mm; length: 9 mm.
Three individual implants (second premolar, first molar, second molar)		Three-unit FPDNot specifiedY-TZP CAD-CAM: 103.81 ± 43.15 µm
Co-Cr CAD-CAM: 48.76 ± 13:45 µm
Co-Cr Cast: 187.55 ± 103.63 µm
6Ghodsi et al. 2018 [33]Not specifiedNot described12 implants (denture details not stated)CAD: 3Shape;
CAM: 3Shape D810 CAD		Y-TZP CAD-CAM: 74.80 µm
PEEK CAD-CAM: 181.39 µm
RC: 174.89 µm
7Yilmaz et al. 2018 [34]Nobel Biocare Active RPLength: 13 mm;
diameter: 4.3 mm.
Two straight in the anterior and two distally tilted internal-hexagon dental implants; canine and molar regions		All-on-four fixed dentureCAD: S600 ARTI; Zirkonzahn
CAM: M1 Wet Heavy Metal Milling Unit		Before veneering:
Y-TZP CAD-CAM: 89 µm T CAD-CAM µm: 88
After veneering: Y-TZP: 175
Ti: 175
8Yilmaz et al. 2018 [35]Nobel Biocare Active RPLength: 13 mm;
diameter: 4.3 mm
Perpendicular in RMC and LMC; 30-degree distally inclined in RMFM		All-on-four fixed dentureCAD: Zirkonzahn Software; Zirkonzahn
CAM: M1 Wet Heavy Metal Milling Unit		RMC
HDP: 60 µm
Y-TZP CAD-CAM: 83 µm
Ti CAD-CAM: 74 µm
LMC
Not detectable
RMFM
HDP: 55 µm
Y-TZP CAD-CAM: 74 µm
Ti CAD-CAM: 102 µm
9Al-Meraikhi et al. 2018 [36]Nobel BioactiveImplants: 4.3 mm × 13 mm
Internal Hex		All-on-four fixed denture. Two implants at canine and two implants at first molar positionsCAD: S600 ARTI Zirkonzahn
CAM Milling Unit M1 Heavy; Zirkonzahn 		LMC-Ti: 8.2 ± 2.6 µm
RMC-Ti: 74 ± 15 µm
RMC-Y-TZP: 84.4 ± 12.1 µm
RMFM-Ti: 102 ±26.7 µm
RMFM-Y-TZP: 93.8 ± 30 µm
10da Cunha Fontoura et al. 2018 [37]ITI StraumannDiameter 4.1;
length: Not available.
Location: mandibular-2 at central incisors and 2 at canines		All-on-four.
First premolar to first premolar		CAD: Zirkozahn Modellier; Zirkozahn
CAM: Milling Unit M5 Heavy; Zirkonzahn		Ti CAD-CAM: 6.011 ± 0.750 µm
Y-TZP CAD-CAM: 9.055 ± 3.692 µm
11Del Rio Silva et al. 2020 [38]Easy Grip Porous EHImplants: 4.1 mm × 11.5 mm (premolar region), 4.1 mm × 11.5 mm (incisor region), 5 mm × 7 mm (molar region)Fixed complete denture supported by six implantsCeramill Map 400+; Amann Girrbach/Ceramill Motion 2; Amann Girrbach (Y-TZP) and CNC D15W; Yenadent (Co-Cr & Ti)Mean values not provided.
Ti CAD-CAM had the highest fit before veneering. No difference in fit after veneering.
CAD, computer-assisted design; CAM: computer-assisted manufacture; Y-TZP, zirconia; Ti, titanium; Co-Cr, cobalt-chromium; Ni-Cr, nickel-chromium; RMSPM, right maxillary second premolar; RMC, right maxillary canine; RMCI, right maxillary central incisor; LMCI, left maxillary central incisor; LMC, left maxillary canine; LMSPM, left maxillary second premolar; PEEK, polyetheretherketone.
Table
Table 3. Results of the quality assessment conducted on the studies included in this review.
Table 3. Results of the quality assessment conducted on the studies included in this review.
Assessment ItemAbduo et al. 2012 [28]Zaghloul & Younis et al. 2013 [29]de França et al. 2014 [30]Katsoulis et al. 2014 [32]de Araújo et al. 2015 [32]Ghodsi et al. 2018 [33]Yilmaz et al. 2018 [34]Yilmaz et al. 2018b [35]Al-Meraikhi et al. 2018 [36]Diego et al. 2018 [37]Silva et al. 2020 [38]
1. Adequate abstractYesYesYesYesYesYesYesYesYesYesYes
(2a) Introduction (Background)YesYesYesYesYesNot clearYesYesYesYesYes
(2b) Introduction (Objectives)YesYesYesYesYesNot clearYesYesYesYesYes
Methods
3. Replicable methodsYesYesYesYesYesNot clearYesYesYesYesYes
4. Adequate outcomesYesYesYesYesYesNot clearYesYesYesYesYes
5. Pre-determined sample sizeNoNoNoYesYesNoNoNoNoYesYes
6. Allocation of samples
(a) RandomizationNoNoNoNoNoYesNoNoNoNoNo
(b) Allocation concealmentNoNoNoNoNoNoNoNoNoNoNo
(c) ImplementationNoNoNoNoNoNoNoNoNoNoNo
7. BlindingNoNoNoYesNoNoNoNoNoNoNo
8. StatisticsYesYesYesYesYesYesYesYesYesYesYes
9. Adequate outcomes & estimationYesYesYesYesYesYesYesYesYesYesYes
10. Discussion: LimitationsYesNot clearYesNot clearYesNoYesYesYesNoYes
11. FundingYesNoNoYesNoYesYesYesYesYesYes
12. Accessible protocolNoNoNoNoNoNoNoNoNoNoNo
Overall qualityMediumMediumMediumHighMediumLowMediumMediumMediumMediumHigh
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Alsayed, H.D. Misfit of Implant-Supported Zirconia (Y-TZP) CAD-CAM Framework Compared to Non-Zirconia Frameworks: A Systematic Review. Medicina 2022, 58, 1347. https://doi.org/10.3390/medicina58101347

AMA Style

Alsayed HD. Misfit of Implant-Supported Zirconia (Y-TZP) CAD-CAM Framework Compared to Non-Zirconia Frameworks: A Systematic Review. Medicina. 2022; 58(10):1347. https://doi.org/10.3390/medicina58101347

Chicago/Turabian Style

Alsayed, Hussain D. 2022. "Misfit of Implant-Supported Zirconia (Y-TZP) CAD-CAM Framework Compared to Non-Zirconia Frameworks: A Systematic Review" Medicina 58, no. 10: 1347. https://doi.org/10.3390/medicina58101347

Article Metrics

Back to TopTop