| Literature DB >> 36011753 |
Santiago Bazal-Bonelli1, Luis Sánchez-Labrador1, Jorge Cortés-Bretón Brinkmann1, Carlos Cobo-Vázquez1, Natalia Martínez-Rodríguez1, Tomás Beca-Campoy2, Juan Santos-Marino3, Emilio Rodríguez-Fernández4, Mario Alvarado-Lorenzo5.
Abstract
This systematic literature review set out to investigate the relationship between serum vitamin D levels and dental implants in terms of survival rates, marginal bone loss, and associated complications. The review was conducted according to PRISMA guidelines, performing an electronic search in four databases (Pubmed, Web of Science, Cochrane, and Scopus), complemented by a manual search up to April 2022. Four articles were selected for analysis. The Newcastle-Ottawa Quality Assessment Scale tool was used to assess the quality of evidence of cohort studies, and the Cochrane bias assessment tool was used to assess the quality of evidence of randomized clinical trials. The study included 1089 patients restored with 1984 dental implants, with follow-up periods ranging from 20-240 months. Cases presenting lower serum vitamin D levels obtained slightly worse results in terms of marginal bone loss. Longer follow-up periods are needed in order to determine whether serum vitamin D levels affect implant survival rates and osseointegration over time.Entities:
Keywords: bone resorption; dental implant; osseointegration; vitamin D
Mesh:
Substances:
Year: 2022 PMID: 36011753 PMCID: PMC9407749 DOI: 10.3390/ijerph191610120
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flow chart illustrates the selection process.
Articles excluded and reason for exclusion.
| Study | Reason for Exclusion |
|---|---|
| Wagner et al., 2017, Thim et al., 2022 [ | Cross-sectional studies |
| Bryce et al., 2014, Fretwurst et al., 2016 [ | Case report |
| Munhoz et al., 2019 [ | Insuficient data |
Information about selected studies including study type, number of patients, gender, mean age, vitamin D serum level, number and location of implants, implant survivals, marginal bone loss, and bone remodeling during osseointegration and follow-up.
| Author and Year | Study | Patients (Number) | Gender | Mean Age | Vitamin D Serum Level | Timing of Vitamin D Sampling | Implants (Number) | Implants Location | Implants Survival (%) | Marginal Bone Loss (mm)/DM | Bone Remodeling during Osseointegration (mm)/DM | Mean Follow-Up (Months) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mangano et al., 2018 [ | Retrospective study. Three cohorts | 885 | 455 | 430 | 57.3 ± 14.4 | G1: <10 ng/mL: 27 | Two weeks prior to surgery | 1740 | - | G1: 88.9 | - | - | 168 |
| Garg et al., 2020 [ | RCT | 32 | - | - | 20–40 (range) | G1: <30 ng/mL (supplement): 16 | At the time of diagnosis. The subsequent blood samples were taken at 3-month and 6-month follow-up period from G1 patients | 32 | Mandibular posterior teeth | 100 | - | G1: M: 0.832 D: 1.085 | 6 |
| Kwiatek et al., 2021 [ | RCT | 122 | 57 | 65 | 43.8 ± 12.15 | G1: <30 ng/mL (supplement): 48 | On the day of surgery, after six weeks, and after twelve weeks. | 122 | Premolar and molar mandible | 100 | - | G1: 0.08 ± 0.93 | 3 |
| Tabrizi et al., 2021 [ | Prospective study. Three cohorts | 90 | 56 | 34 | G1: 41.50 ± 10.13 | G1: <10 ng/mL: 30 | At the time of loading and 12 months later | 90 | Molar mandible | 100 | G1: 1.38 ± 0.33 | - | 12 |
RCT: Randomized clinical trial; G: group; DM: Diagnostic method; M: mesial; D: Distal; RVG: radiovisiography.
Quality assessment of cohort studies using the Newcastle-Ottawa Scale.
| Selection | Comparability | Outcome | Number of Stars | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Study | S1 | S2 | S3 | S4 | C1 | C2 | E1 | E2 | E3 | |
| Mangano et al., 2018 [ | ★ | ★ | ★ | 0 | ★ | ★ | 0 | ★ | ★ | 7 |
| Tabrizi et al., 2021 [ | ★ | ★ | ★ | 0 | ★ | ★ | 0 | 0 | ★ | 6 |
★ = 1.
Quality assessment of included studies using the Cochrane bias assessment tool.
| Study | Random Sequence Generation | Allocation Concealment | Blinding of Participants and Personnel | Blinding of Outcome Assessment | Incomplete Outcome Data | Selective Reporting | Other Bias |
|---|---|---|---|---|---|---|---|
| Garg et al., 2020 [ |
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| Kwiatek et al., 2021 [ |
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