Abstract
Patients under renal replacement therapy (RRT) often show oral problems, including dry mouth, periodontal and dental diseases. This systematic review aimed to evaluate the caries burden in patients on RRT. Therefore, a systematic literature search based on the databases PubMed, Web of Science and Scopus was performed by two independent individuals in August 2022. Search terms were: “caries” AND “dialysis”, “caries” AND “renal replacement therapy”, “caries” AND “kidney”. The systematic process was complemented by manual search. Studies on adult patients (age ≥ 18 years), treated by any form of RRT and explicitly reporting caries prevalence or incidence were checked for their eligibility and subsequently analyzed qualitatively. For all included studies, a quality appraisal was applied. From the systematic search, 653 studies were identified, of which 33 clinical investigations were included in the qualitative analysis. The majority (31 studies) of all included patients underwent hemodialysis (HD), with a sample size between 28 and 512 participants. Eleven studies investigated a healthy control group. Oral examinations were heterogeneous across studies; the caries burden was primarily assessed by decayed-(D-T), missing- and filled-teeth index (DMF-T). The number of decayed teeth ranged between 0.7 and 3.87 across studies. Only six out of these 11 studies found significant differences in caries prevalence/incidence between RRT and controls, whereby only four studies confirmed worse caries burden in RRT individuals. No information was provided on caries stadium (initial caries, advanced caries, invasive treatment need), caries activity or location (e.g., root caries) across studies. Most of the included studies were assessed to be of moderate quality. In conclusion, patients on RRT suffer from a high prevalence of dental caries. Alongside a need for further research in the field, improved, multidisciplinary, patient-centered dental care concepts are required to support dental and overall oral health in individuals on RRT.
Keywords: oral health, dental caries, renal replacement therapy, hemodialysis, kidney transplantation
1. Introduction
Dental caries is one of the most prevalent chronic diseases worldwide, and is among the most common oral diseases [1,2,3]. Caries is a dynamic process of biofilm-related, substrate-driven (carbohydrates) demineralization and subsequent decay of hard tooth tissues, including enamel and dentine [4]. Depending on exposition, dental caries, which develops primarily in elderly individuals, can affect the crown of the tooth, as well as the root surfaces; moreover, the progression of carious lesions can lead to infections in the dental pulp, apical bone and, in consequence, tooth-surrounding tissues [4].
Several risk factors for dental caries have been revealed, including carbohydrate intake, oral hygiene and local, tooth-related factors [4]. On the other hand, several systemic diseases, and their manifestations in the oral cavity, can be associated with caries development and progression [5]. Thereby, the composition as well as the quantity of saliva, which can be related to different systemic diseases, appear especially relevant [5]. In this context, xerostomia, which influences the occurrence of dental caries, is an important factor [6]. Accordingly, it appears unsurprising that dental caries is an important topic for patients with chronic kidney disease (CKD), especially those on renal replacement therapy (RRT), including hemodialysis (HD), peritoneal dialysis (PD) and kidney transplantation (KTx) [7]. Consequently, the recent literature has addressed this topic under different viewpoints: patients under HD were found to suffer from a high prevalence of dental caries, which worsened with increasing vintage time [8]. Furthermore, different microbiological issues regarding Lactobacillus and Streptococcus mutans, which are relevant cariogenic bacteria, have been investigated, especially under consideration of co-morbidities such as diabetes mellitus [9]. Moreover, a three-year cohort study of patients with HD showed that the all-cause mortality of the included individuals was related to their caries prevalence [10]. The latter underlines the potential relevance of oral health, especially the caries burden in individuals on RRT. One further issue, which supports the scientific interest on dental caries of patients on RRT, is the patient’s perspective, i.e., the oral health-related quality of life; thereby, oral conditions, alongside RRT-related general parameters, can potentially affect the general and oral health-related quality of life in patients on RRT [11].
Although the body of literature in this research area is growing, several questions remain unanswered, including highly clinically relevant issues such as root caries. Additionally, the variety of studies performed might result in a certain heterogeneity of results. Therefore, this systematic review aimed to evaluate the prevalence of dental caries in adult patients undergoing RRT and its comparison with healthy subjects, if available. Thereby, the characteristics and results of the available studies, their quality and a potential comparison of caries prevalence between RRT and healthy control individuals should be assessed. It has been hypothesized that patients on RRT had a high prevalence of dental caries, which is assumed to be higher than in healthy individuals.
2. Methods
The authors followed criteria established in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for this review [12].
2.1. Focused Question
In this systematic review, the PICO (patients, intervention, comparison and outcome) question was whether patients undergoing RRT would show a higher caries prevalence than healthy individuals. Therefore, patients were individuals undergoing any form of RRT, including haemodialysis and peritoneal dialysis as well as transplantation. An intervention was not assessed. For comparison, either a healthy control/comparison group or available references should be used. As outcome, any form of caries assessment was defined. It was hypothesized that patients on RRT would show a higher caries prevalence than healthy individuals.
2.2. Eligibility Criteria
Studies which included adult patients (minimum age 18 years) requiring RRT were included in the current systematic review. It was mandatory that the occurrence of caries was explicitly described and that a full-text in English was available. Furthermore, any type of clinical study (cross-sectional, retrospective, prospective, randomized trial) was considered. Both studies with and without any form of control or comparison group (e.g., healthy controls, kidney failure without dialysis) were included in this systematic review.
Exclusion criteria were in vitro and animal designs and studies examining children and/or adolescents (age below 18) as well as an absence of explicit reporting on dental caries in the cohort.
2.3. Search Strategy
The literature search, based on the databases of PubMed, Web of Science and Scopus, was performed by two independent individuals in August 2022 (date of literature search: 15th August 2022). The used search terms were: “caries” AND “dialysis”, “caries” AND “renal replacement therapy”, “caries” AND “kidney”. The systematic process was complemented by manual search. Subsequently, the studies were checked for their suitability. Studies published until 15th August were considered, without defining a lower limit regarding the year of publication.
2.4. Data Extraction
The following information was extracted from the included studies:
year of publication, study type, country
number of participants, sex, age, type of RRT, duration of treatment
caries, tooth loss/remaining teeth/dentures, oral hygiene parameters, glomerular filtration rate, laboratory parameters, saliva parameters, bacteria/-metabolism
presence of a control group, sex, age
The systematic search as well as study selection and qualitative analysis was performed by two independent reviewers.
2.5. Quality Assessment
The 11-item checklist for cross-sectional studies recommended by the Agency for Healthcare Research and Quality (AHRQ) was used to assess the quality of the studies included [13]. To determine a total score for evaluation, “No” or “Unclear” responses were assigned 0 points per question, while “Yes” responses were assigned one point. For each study, a total score of 0–3 indicated low quality, a score of 4–7 indicated medium quality, and a score of 8–11 indicated high quality. Quality scores were independently assessed by the first authors (DK, BE) and the senior author (GS). Disagreements were discussed and resolved among the authors.
3. Results
3.1. Search Findings
The search findings according to the PRISMA statement [11] are presented in Figure 1. A total of 653 studies were identified by systematic search complemented by hand search. 238 studies were excluded due to duplications and 371 articles were excluded during screening. The reasons for this were, in seven cases, the type of article (systematic review), while 364 studies were outside the scope of the review. A total of 44 full-text articles were examined regarding their eligibility. Eleven studies were excluded, wherein five studies did not investigate primary data and one study included participants with age below 18 years. Furthermore, in three studies patients did not receive RRT, in one study caries was not considered in the investigation and in one study there was no English full-text available. Accordingly, a total of 33 clinical investigations were included in the qualitative analysis (Figure 1).
Figure 1.
PRISMA diagram for systematic review process.
3.2. Characteristics of Included Studies
Studies from fourteen different countries were included. The majority (31 studies) of all included patients had undergone HD treatment, with a sample size between 28 and 512 participants across studies. Two studies additionally examined patients receiving peritoneal dialysis. The group size was 63 and 286, respectively. Five other studies examined KTx recipients. In these studies, sample sizes between 43 and 286 participants were included. Two studies only investigated patients who received KTx. The sample size amounts were 28 and 44, respectively. Eleven studies investigated a healthy group for comparison. The study type, mean age, sex and disease duration of the included studies are presented in Table 1.
Table 1.
Studies included in systematic review. Values for age and disease duration are presented as mean value ± standard deviation or mean value (range).
| Author, Year | Form of RRT | Country | No. of Patients | Study Type | Subjects Mean Age in Years | Treatment Time | Male (%) | Control Group | ||
|---|---|---|---|---|---|---|---|---|---|---|
| HD | PD | Tx | ||||||||
| Yue et al. 2018 [14] | HD | China | 30 | monocentric | 48.53 ± 12.69 | >12 month | n/a | n/a | 50 | 30, 46.50 ± 8.83, 53% men |
| Schmalz et al. 2016 [15] | HD, Tx | Germany | 126 (HD: 87; Tx: 39) |
clinical multicentre cross-sectional | HD: 60.98 ± 14.01; KTx: 56.51 ± 11.56 | ≥5 years | n/a | ≥5 years | HD: 62.1; KTx: 48.7 | 91, 58.31 ± 9.91, 43.1% men |
| Gautam et al. 2014 [16] | HD | India | 206 | multicentre cross-sectional | 46.79 ± 12.78 | 69%, <1 year, 13.6%, 1–3 years, 16.5% >3 years |
n/a | n/a | 81.1 | n/a |
| Cruz et al. 2021 [17] | HD, Tx | Brazil | 46 | descriptive cross-sectional | 18–44: 43.5%; 45–54: 21.7%; 55–80: 34.8% |
n/a | n/a | 80.4% pre Tx, 19.6% post Tx |
71.4 | n/a |
| Ziebolz et al. 2012 [18] | HD | Germany | 54 | multicentre clinical cross-sectional | 63.9 ± 13.0 | 4.1 ± 3.4 years | n/a | n/a | 57 | n/a |
| Misaki et al. 2021 [10] | HD | Japan | 80 (13 died during 2 year follow up → 67 surviving) | monocentric | 67.3 ± 12.2 (surviving group: 65.8 ± 11.9) | 7.6 ± 5.9 years | n/a | n/a | 60 (surviving group: 54) | n/a |
| Sekiguchi et al. 2012 [19] | HD | Brazil | 94 | monocentric cross sectional | <3 y HD: 56% 20–39 years, 44% 40–79 years; >3 y HD: 36.32% 20–39 years; 63.68% 40–79 years |
1.: <36 months; 2.: >37 months |
n/a | n/a | <3 years HD: 52; >3 years HD: 56.8 |
n/a |
| Cengiz et al. 2009 [8] | HD | Turkey | 86 | monocentric cross sectional | 47.85 ± 14.61 | n/a | n/a | n/a | 54 | 41, 44.80 ± 10.22, 52% men |
| Bayraktar et al. 2007 [20] | HD | Turkey | 76 | multicentre cross sectional | 48 ± 15 | 17: HD <3 years, 59: HD >3 years |
n/a | n/a | 47 | 61, 36% men, 46 ± 18 |
| Tiwari et al. 2013 [21] | HD | India | 30 | monocentric matched case-control study | 35–44: 23.3%; 45–54: 36.6%; 55–64: 40% |
n/a | n/a | n/a | 93.3 | 30, 35–44: 23.3%, 45–54: 36.6%, 55–64: 40%, 93.3% men |
| Tadakamadla et al. 2014 [22] | HD | India | 74 | monocentric cross sectional | 46.27 ± 1.42 | n/a | n/a | n/a | 64.5 | 150, 43.14 ± 2.31 |
| Cunha et al. 2007 [23] | HD | Brazil | 160 | multicentre cross sectional | 59 ± 12 | average time: 2 years (11 months to 11 years) |
n/a | n/a | 56.9 | n/a |
| Chuang et al. 2005 [24] | HD | Taiwan | 128 | monocentric cross sectional | 57.5 | mean duration 3.72 years (range of 0.1 to 10 years) | n/a | n/a | 45.3 | n/a |
| Benderli et al. 2000 [25] | Tx | Turkey | 28 (G1: 13, G2: 5, G3: 10) | monocentric cross sectional | 18–54 | n/a | n/a | G1: 0–6 months after transplantation, 6–12 months after transplantation, >12 months after transplantation |
n/a | 10 |
| Schmalz et al. 2016 [26] | HD, Tx | Germany | 70 (HD: 35; Tx: 35) | monocentric cross-sectional | HD: 56.4 ± 11.1, Tx: 55.8 ± 10.9 |
5.5 ± 6.4 (<1 year: 13.3%, >1 to 5 years: 38.2%, >5 years: 35.3%) |
n/a | >1 to 5 years: 11.4%, <5 years: 88.4% |
HD: 60, Tx: 47 | n/a |
| Schmalz et al. 2018 [27] | HD | Germany | 190 | multicentre cross sectional | 64.92 ± 15.7 | 0–2 years (n = 29), 3–5 years (n = 35), 6–8 years (n = 34), 9–12 years (n = 29), 13–20 years (n = 34), >20 years (n = 29) |
n/a | n/a | 65 | n/a |
| Akca et al. 2021 [28] | HD | Turkey | 150 | monocentric cross sectional | 58.73 (14.59) | 54.67 (47.73) months (at least 6 month) | n/a | n/a | 54 | n/a |
| Ruas et al. 2018 [29] | HD | Brazil | 567 | multicentre cross sectional | 49.9 ± 13.7 | <5 years: 66%, >5 years 34% |
n/a | n/a | 58 | n/a |
| Bayraktar et al. 2004 [30] | HD | Turkey | 72 | monocentric cross sectional | 45.05 ± 14.15 | 32.56 ± 40.17 | n/a | n/a | 53 | 50, 43.92 ± 18.80, 48% men |
| Buhlin et al. 2007 [31] | HD | Sweden | 51 | monocentric cross sectional | 55.3 (13.0) | n/a | n/a | n/a | 65 | n/a |
| Al-Wahadni et al. 2003 [32] | HD | Jordan | 47 | monocentric cross sectional | 42.9 ± 12.5 | 1: HD <1 year, 2: HD 1–3 years, 3: HD >3 year |
n/a | n/a | 51.06 | n/a |
| Pereira-Lopes et al. 2019 [33] | HD, PD | Portugal | 63 (17 HD, 35 PD, 11 PD after HD) |
Monocentric cross sectional | HD: 53.8 ± 6.8, PD: 46.6 ± 12.3, PD after HD: 45.3 ± 13.6 |
33.5 months | PD: 5.8 months, PD after HD: 79.9 |
n/a | HD: 82.4, PD: 48.6, PD after HD: 45.5 |
n/a |
| Bots et al. 2007 [34] | HD, Tx | Netherlands | 43 (20 of them Tx during study period |
monocentric prospective observation study | men: 54 ± 15.7; women: 48.9 ± 17.2 |
33 ± 28.6 month at baseline | n/a | 13.5 ± 7.1 month before second measurement | 69.3 | n/a |
| Amaral et al. 2022 [35] | HD | Brazil | 60 | monocentric cross sectional | 60.23 ± 10.87 | 41.9 ± 56.57 month (45 pat <48 month, 15 pat >48 month) |
n/a | n/a | 73.33 | n/a |
| Naugle et al. 1998 [36] | HD | USA | 45 | multicentre cross sectional | n/a | 1. (N = 9) pat haemodialysis <1 y, 2. (N = 22) 1–3 y, 3. (N = 14) >3y |
n/a | n/a | n/a | n/a |
| Schmalz et al. 2017 [27] | HD | Germany | 159 | multicentre clinical cross-sectional study | Without DM: 66.7 ± 13, with DM: 70.5 ± 10.2 |
Without DM: 4.4 ± 4.1y; with DM: 3.3 ± 2.7 |
n/a | n/a | Without DM: 63, with DM: 65 |
n/a |
| Souza et al. 2008 [37] | HD, PD, Tx | Chile | 286 CKD: 13 (4.5%) predialysis, 158 (55%) haemodialysis, 23 (8.4%) peritoneal dialysis, 92 (32.1%) Tx |
monocentric cross sectional | 42 ± 13 | n/a | n/a | n/a | 53 | n/a |
| Menezes et al. 2019 [38] | HD | Brazil | 107 | monocentric cross-sectional | 44.64 (20–87) | 36 month | n/a | n/a | 61.7 | 107, 43.97, 55.14% |
| Marinho et al. 2007 [39] | HD | Portugal | 50 pat: 22 pharmacological-dietary treatment pat., 28 haemodialysis pat. |
monocentric observational, case-control study | 64 ± 11 | n/a | n/a | n/a | 46 | 64, 60 ± 11 46.9% |
| Misaki et al. 2019 [40] | HD | Japan | 80 | monocentric cross sectional | 67.3 ± 12.2 | n/a | n/a | n/a | 60 | 76, 66.6 ± 12.1, 57.9% men |
| Pakpour et al. 2014 [41] | HD | Iran | 512 | multicentre case-controlled study | 57.7 ± 17.01 | 52.12 ± 29.86 month | n/a | n/a | 62.9 | 255, 55.8 ± 15.9, 62% men |
| Mizutani et al. 2020 [10] | HD | Japan | 207 | monocentric prospective observational study with 3 years follow-up | 65.9 ± 12.1 | 64 (33, 115) month | n/a | n/a | 65.2 | n/a |
| Rocha et al. 2022 [42] | Tx | Brazil | 44 | monocentric cross-sectional comparative study | 45.07 ± 13.87 | n/a | n/a | >6 month | 56.82 | n/a |
n/a: not applicable, HD: hemodialysis, Tx: kidney transplantation, PD: peritoneal dialysis, RRT: renal replacement therapy.
3.3. Oral Health Record and Findings
As shown in Table 2, the applied oral examinations were heterogeneous between the included studies. Dental caries burden was frequently assessed, whereby the decayed-, missing- and filled-teeth index (DMF-T) and its components were examined. All but three studies investigated the DMFT or DT. The number of decayed teeth ranged between 0.7 and 3.87 across studies (Table 2, Figure 2). Several studies examined further oral health parameters, including plaque index (PI) and gingival index (GI), periodontitis severity or community periodontal index (CPI). None of the studies reported on caries activity, stadium/stage or localization (e.g., root caries). Table 2 provides a detailed overview of the oral health parameters examined and, if applicable, the results. Table 3 shows the comparison between RRT patients and healthy individuals in the respective studies. It is obvious that only six out of the 11 studies found significant differences in caries prevalence/incidence between RRT and controls, whereas only four studies confirmed a worse caries burden in RRT individuals (Table 3).
Table 2.
Oral health, especially cariological and selected further parameters within the included studies.
| Author, Year | Tooth Loss, Remaining Teeth, Dentures | Caries | Oral Hygiene Parameters | Glomerular Filtration Rate (mL/min/1.73 m2) | Laboratory Parameters | Saliva Parameters (Saliva Flow Rate, pH) | Bacterial-/Metabolism | ||
|---|---|---|---|---|---|---|---|---|---|
| CRP (mg/L) | Serum Creatinine (µmol/L) | Saliva Flow Rate | pH | ||||||
| Yue et al. 2018 [14] | >15 | DMFT: 4.36 ± 3.92; DT: 1.11 ± 1.62 |
PI: 2.13 ± 0.45 | <15 | 3.09 ± 5.15 | 1041.76 ± 216.93 | n/a | 8.21 ± 0.44 | Proteobacteria, Firmicutes, Bacteroidetes, Fusobacteria, Actinobacteria; heterogeneity of supragingival plaque in CKD patients was higher than in control group |
| Schmalz et al. 2016 [15] | >6 | HD: DMFT: 20.43 ± 5.85, DT: 2.29 ± 4.13; KTx: 17.41 ± 5.51, 0.74 ± 1.43 |
n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Gautam et al. 2014 [16] | n/a | Prevalence: 65.3% | CPI (bleeding 0%, calculus 13.1%, pocket 4–5 mm 44.2%, pocket > 6 mm 39.32) |
<15 | n/a | n/a | n/a | n/a | n/a |
| Cruz et al. 2021 [17] | n/a | DMFT median: 20.0, DT median: 1.0 |
n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Ziebolz et al. 2012 [18] | 12 patients (22%) of 54 were toothless | DMFT (n = 54) 22.1 ± 6.5, DT (n = 54) 0.7 ± 1.2; DMFT (n = 42) 20.4 ± 6.4, DT (n = 42) 0.9 ± 1.2 |
PDI: median 1 | n/a | n/a | n/a | n/a | n/a | n/a |
| Misaki et al. 2021 [10] | n/a | DMFT: 18.5 ± 6.7, DT: 1.7 ± 2.6 |
PI and GI; median PI HD: 2.00, PI C: 1.00; GI HD: 0.29, GI C: 0.19 |
n/a | 0.4 ± 1.6 | n/a | n/a | n/a | n/a |
| Sekiguchi et al. 2012 [19] | >12 | DMFT group L: 12.14 ± 5.36, group M: 14.34 ± 4.80; DT group L: 2.52 ± 2.22, group M: 4.68 ± 2.60 |
PI group L: 1.22 ± 0.56, GI group L: 0.88 ± 0.42; PI group M: 1.17 ± 0.55, GI: 1.00 ± 0.41 |
n/a | n/a | n/a | n/a | n/a | n/a |
| Cengiz et al. 2009 [8] | n/a | DMF-T HD: 12.7 ± 8.1; C: 11.7 ± 5.5 |
PI and GI; PI HD: 2.1 ± 8.1; C: 1.7 ± 5.5; GI HD: 1.9 ± 0.3, C: 1.1 ± 0.2 |
n/a | n/a | n/a | n/a | n/a | n/a |
| Bayraktar et al. 2007 [20] | n/a | DMFT median HD: 12.0, C: 15.00, DT median HD: 2.00, C: 1.00 | PI and GI; median PI HD: 2.00, PI C: 1.00; GI HD: 0.29, GI C: 0.19 |
n/a | n/a | n/a | n/a | n/a | n/a |
| Tiwari et al. 2013 [21] | n/a | DMFT HD: 6.37 ± 4.26, C: 2.35 ± 1.28; DT HD: 3.87 ± 4.02, C: 1.63 ± 0.36 |
n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Tadakamadla et al. 2014 [22] | n/a | DMFT stage2: 1.64 ± 1.70, stage3: 1.51 ± 1.26, stage4: 1.25 ± 1.58, stage5: 1.37 ± 1.46; DT stage2: 1.32 ± 1.25, stage3: 1.13 ± 0.95, stage4: 1.05 ± 1.35, stage5: 1.05 ± 1.31 |
GI: stage 2: 1.26 ± 0.13, stage 3: 1.76 ± 0.16, stage 4: 2.06 ± 0.43, stage 5: 2.40 ± 0.39, controls: 0.92 ± 0.42 |
stage1: ≥90, stage2: 60–89, stage3: 30–59, stage4: 15–29, stage5: <15 (or dialysis) |
n/a | n/a | n/a | n/a | n/a |
| Cunha et al. 2007 [23] | n/a | DMFT 26.0 ± 7.7, DT 32.9% |
CPI (bleeding/ calculus 29.4%, pocket >4 mm 8.8) | n/a | n/a | n/a | n/a | n/a | n/a |
| Chuang et al. 2005 [24] | n/a | DMFT diabetics: 19.93 ± 8.19, DMFT non-diabetics: 14.29 ± 9.19; DT diabetics: 2.00 ± 3.42, DT non-diabetics: 1.94 ± 2.48 |
CPI: non-diabetics: Code 0: 1.2%, Code 1: 1.2%, Code 2: 24.7%, Code 3: 45.9%, Code 4: 23.5% CPI: diabetics: Code 0: 0%, Code 1: 2.3%, Code 2: 20.9%, Code 3: 39.5%, Code 4: 16.3% |
n/a | n/a | n/a | n/a | diabetics: 7.97 ± 0.67, non-diabetics: 8.22 ± 0.44 |
n/a |
| Benderli et al. 2000 [25] | n/a | Incidence: G1: 1.15, G2: 1.4, G3: 4.3 |
n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Schmalz et al. 2016 [26] | 5 of 70 were toothless | DMFT HD: 19.47 ± 5.84, DMFT KT: 17.61 ± 5.81; DT HD: 1.13 ± 1.68, DT KT: 0.58 ± 1.15 |
PBI: HD: 0.38 ± 0.27, KT: 0.52 ± 0.49 |
n/a | n/a | n/a | n/a | n/a | yes: 11 different periodontal pathogenic bacteria) most prevalence: Eikanella corrodens and Parvimonas micra > Fusobacterium nucleatum > Tanerella forsythia |
| Schmalz et al. 2018 [27] | 16.90 ± 8.8 | DMFT: 20.45 ± 6.8 | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Akca et al. 2021 [28] | n/a | DT: 1.15 ± 2.33 | gum bleeding: 14.0% | n/a | n/a | predialysis: 8.51 ± 2.75, postdialysis: 3.25 ± 1.48 | dryness mouth: 81.3% | n/a | n/a |
| Ruas et al. 2018 [29] | average number 19.3 ± 8.7 |
Prevalence: 20.4% | Gingivitis: 20.3% | n/a | n/a | n/a | n/a | n/a | n/a |
| Bayraktar et al. 2004 [30] | n/a | DMFT: HD: 11.91 ± 8.73, controls 13.22 ± 9.68 |
n/a | n/a | n/a | n/a | Stimulated saliva HD: 0.69 ± 0.31, controls: 1.64 ± 0.44 |
Stimulated saliva HD: 8.15 ± 0.72, controls: 7.16 ± 0.75 |
n/a |
| Buhlin et al. 2007 [31] | average: 22.9 (7.3) |
DMFT: 20.1 ± 6.6 | oral plaque index: 46 ± 24% | estimated by creatinine clearance from 24h urine samples | 3.58 (0.3–218.0) |
727 (247) | n/a | n/a | n/a |
| Al-Wahadni et al. 2003 [32] | n/a | DMFT: 8.47 ± 2.88, DT: 5.07 ± 1.75 |
PI: 1.59 ± 0.60; GI: 2.16 ± 0.87 |
n/a | n/a | n/a | n/a | n/a | n/a |
| Pereira-Lopes et al. 2019 [33] | n/a | DMFT HD: 12.0 ± 9.0, PD: 13.0 ± 7.0, PD after HD: 15.0 ± 4.0; DT HD: 3.0 ± 3.0, PD: 3.0 ± 3.0, PD after HD: 4.0 ± 3. |
VPI (visible plaque index): HD: 85.0 ± 26.0, PD: 69.0 ± 30.0, PD after HD: 60.0 ± 38.0 |
n/a | n/a | HD: 9.2, PD: 7.0, PD after HD: 9.3 |
unstimulated HD: 0.3 ± 0.2, PD: 0.4 ± 0.4. PD after HD: 0.4 ± 0.4, stimulated HD: 1.0 ± 0.5, PD: 1.1 ± 1.4, PD after HD: 0.8 ± 0.5 | unstimulated HD: 7.3 ±0.7, PD: 7.6 ± 0.6, PD after HD: 7.4 ± 0.5, stimulated HD: 7.8 ± 0.4, PD: 7.8 ± 0.4, PD after HD: 7.8 ± 0.5 | n/a |
| Bots et al. 2007 [34] | n/a | Dia. Treatment: DIAL-base: DMFS 39.1 (26.9), DMFT 13.6 (8.5) DIAL-2yr: DMFS 41.6 (27.8), DMFT 14.4 (8.8); TX: DIAL-base: DMFS 41.9 (26.6), DMFT 14.9 (8.1) TX-2yr DMFS 43.1 (25.3) DMFT 15.5 (7.8) |
SOHI | n/a | n/a | n/a | Dia. Treatment: DIAL-base: UWS 0.31 (0.19), SWS 1.18 (0.8) DIAL-2yr: UWS 0.31 (0.18), SWS 1.09 (0.54); TX: DIAL-base: UWS 0.3 (0.21), SWS 1.12 (0.66) TX-2yr UWS 0.44 (0.29) SWS 1.38 (0.84) |
Dia. Treatment: DIAL-base: UWS 7.28 (0.52), SWS 7.44 (0.43) DIAL-2yr: UWS 7.1 (0.71), SWS 7.28 (0.57); TX: DIAL-base: UWS 7.36 (0.49), SWS 7.39 (0.42) TX-2yr UWS 6.74 (0.4) SWS 7.0 (0.24) | n/a |
| Amaral et al. 2022 [35] | n/a | DMFT: 22.55 ± 8.39 (D: 0.86 ± 1.59, M: 18.2 ± 10.99, F: 3.49 ± 4.63) |
n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Naugle et al. 1998 [36] | n/a | subgroup: 1: 11.88 ± 8.06, 2: 13.57 ± 9.06, 3: 9.87 ± 5.53; grand totals: 11.77 (D: 1.8 M: 4.9 F: 4.8) |
SOHI: subgroup: 1: 3.18 ± 1.13, 2: 3.35 ± 1.42, 3: 3.17 ± 1.21; grand totals: 3.241 ± 1.26 (N = 44) |
n/a | n/a | n/a | n/a | n/a | n/a |
| Schmalz et al. 2017 [27] | n/a | DMFT all pat: nDM: 22.3 ± 5.5; DM: 21.9 ± 6.1; DMFT pat with teeth: nDM: 21.2 ± 5.4 (D: 1.4 ± 2.1 M: 12.8 ± 8.6 F: 7 ± 5); DM: 20.4 ± 6 (D: 2.1 ± 3 M: 10.8 ± 7.8 F: 7.7 ± 5.5) |
n/a | n/a | n/a | n/a | unstimulated: nDM: 0.23 ± 0.23; DM: 0.16 ± 0.2 stimulated: nDM: 0.5 ± 0.4; DM: 0.42 ± 0.42 |
unstimulated: nDM: 7 ± 0.9; DM: 6.7 ± 0.7 |
n/a |
| Souza et al. 2008 [37] | n/a | DMFT: all pat.: 20.6; Pre 22; HD 21; PD 24; Tx 20 |
presence of Calculus: 86.7% | n/a | n/a | n/a | n/a | n/a | n/a |
| Menezes et al. 2019 [38] | n/a | DMFT CKD pat: 14.8 ± 8 (D: 2.9 ± 2.7, M: 11.4 ± 8.7, F: 0.5 ± 1.5); Controls: 16.4 ± 7.7 (D: 3.2 ± 3.2, M: 11.6 ± 8.5, F: 1.6 ± 2.5) |
Plaque index: CKD 1.1 ± 0.6; Controls: 1.2 ± 0.8 |
n/a | n/a | n/a | n/a | n/a | n/a |
| Marinho et al. 2007 [39] | n/a | DMFT: Pat 17.14 ± 7.79 (D: 1.68 ± 1.57 M: 14.08 ± 9.12 F: 2.34 ± 2.75); controls 15.23 ± 70.7 (D: 2.58 ± 2.48 M: 9.09 ± 7.95 F: 4.32 ± 2.49) DMFT of pat: CRF pat 20.64 ± 6.19 (D:2.36 ± 1.27); TRF pat 14.39 ± 7.91 (D: 1.29 ± 1.62) |
simplified Greene and Vermillion oral hygiene index: Pat 10 (26.3%) Grade 0–1, 28 (73.7%) G2–3 (differences between CRF and TRF!), controls 32 (56.1%), 25 (43.9%); Ramfjord calculus index: Pat 19 (50%) G0–1, 19 (50%) G2–3, controls 24 (42.1%), 33 (57.9%) |
<60 | n/a | n/a | n/a | n/a | n/a |
| Misaki et al. 2019 [40] | n/a | DMFT: HD pat 19 ± 6.6 (D: 1.9 ± 2.9, M: 8 ± 8.7 F: 9.1 ± 6.5); controls 17.3 ± 6.7 (D: 1.6 ± 2.2 M: 5.2 ± 7.4 F: 10.6 ± 5.5); total number of C4 teeth: HD pat 0.7 ± 1.5; controls 0.2 ± 0.7 |
n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Pakpour et al. 2014 [41] | n/a | DMFT: HD pat 20.06 ± 11.16 (D: 0.91 ± 1.93, M: 11.71 ± 7.68 F: 7.37 ± 8.02); controls 10.57 ± 6.74 (D: 2.51 ± 2.12 M: 6.4 ± 4.21 F: 1.43 ± 1.6) |
modified Quigley-Hein index visual plaque index: HD pat 1.92 ± 1.28; controls 1.18 ± 1 |
n/a | n/a | n/a | n/a | n/a | n/a |
| Mizutani et al. 2020 [10] | 22 (16, 26) mean 19.9 ± 7.1 | DT: mean D: 1.1 ± 2.0 F: 8.3 ± 5.3 | DI-S: mean 0.99 ± 0.76 | n/a | hsCRP 0.16 (0.05, 0.45) | n/a | n/a | n/a | n/a |
| Rocha et al. 2022 [42] | n/a | DMFT: n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
M-T: missing teeth, D-T: decayed teeth, F-T: filled teeth, DMF-T: decayed-, missing- and filled teeth index, PI: plaque index, GBI: Gingiva-bleeding index, GI: gingival index, CPI: community periodontal index, PPD: periodontal probing depth, UWS: unstimulated whole saliva, SWS: stimulated whole saliva, n/a: not applicable, OHI: oral health index.
Figure 2.
Number of Decayed teeth (D-T) in the respective studies on patients with RRT presented as mean values and standard deviation. The green line reflects the German healthy general population as a national representative value [43] for interpretation of the values.
Table 3.
Results of studies which compared caries prevalence between patients on RRT and control individuals.
| Author, Year | Caries Disease Group | Caries Healthy Control Group | Significant Difference between Disease and Control |
|---|---|---|---|
| Yue et al. 2018 [14] | DMFT: 4.36 ± 3.92; DT: 1.11 ± 1.62 | DMFT: 2.28 ± 2.52, DT: 0.10 ± 0.31 | yes |
| Schmalz et al. 2016 [15] | HD: DMFT: 20.43 ± 5.85, DT: 2.29 ± 4.13; KTx: 17.41 ± 5.51, 0.74 ± 1.43 |
DMFT: 16.76 ± 6.37, DT: 0.01 ± 0.10 | yes |
| Cengiz et al. 2009 [8] | DMFT: 12.7 ± 8.1 | DMFT: 11.7 ± 5.5 | no |
| Bayraktar et al. 2007 [20] | DMFT median: 12.0 (9.00-18.00), DT median HD: 2.00 (0.25-3.00) |
DMFT median: 15.00 (6.50-21.50), DT median: 1.00 (0.00-3.00) |
no |
| Tiwari et al. 2013 [21] | DMFT HD: 6.37 ± 4.26, DT HD: 3.87 ± 4.02 | DMFT: 2.35 ± 1.28, DT: 1.63 ± 0.36 | DMFT: yes, DT: no |
| Tadakamadla et al. 2014 [22] | DMFT: 1.37 ± 1.46; DT: 1.05 ± 1.31 | DMFT: 2.24 ± 1.82, DT: 2.19 ± 1.79 | DMFT: no, DT: yes |
| Benderli et al. 2000 [25] | Incidence: G1: 1.15, G2: 1.4, G3: 4.3 | Incidence: 1.1 | G3: yes |
| Bayraktar et al. 2004 [30] | DMFT: HD: 11.91 ± 8.73 | DMFT: 13.22 ± 9.68 | no |
| Marinho et al. 2007 [39] | DMFT: 17.14 ± 7.79 DT: 1.68 ± 1.57 | DMFT: 15.23 ± 7.07, DT: 2.58 ± 2.48 | no |
| Misaki et al. 2019 [40] | DMFT: 19 ± 6.6, DT: 1.9 ± 2.9 | DMFT: 17.3 ± 6.7, DT: 1.6 ± 2.2 | no |
| Pakpour et al. 2014 [41] | DMFT: 20.06 ± 11.16, DT: 0.91 ± 1.93 | DMFT: 10.57 ± 6.74, DT: 2.51 ± 2.12 | yes |
3.4. Quality Assessment
The quality appraisal according to AHRQ criteria is presented in Table 4. Most of the included studies were assessed to be of moderate quality (Table 4).
Table 4.
Results of quality appraisal of the included studies, according to AHRQ criteria.
| Item | (1) Define the Source of Information (Survey, Record Review) | (2) List Inclusion and Exclusion Criteria for Exposed and Unexposed Subjects (Cases and Controls) Or Refer to Previous Publications | (3) Indicate Time Period Used for Identifying Patients | (4) Indicate Whether or Not Subjects Were Consecutive If Not Population-Based | (5) Indicate If Evaluators of Subjective Components of Study Were Masked to Other Aspects of the Status of the Participants | (6) Describe any Assessments Undertaken for Quality Assurance Purposes (e.g., Test/Retest of Primary Outcome Measurements) | (7) Explain Any Patient Exclusions from Analysis | (8) Describe How Confounding Was Assessed And/or Controlled | (9) If Applicable, Explain How Missing Data Were Handled in the Analysis | (10) Summarize Patient Response Rates and Completeness of Data Collection | (11) Clarify What Follow-Up, If Any, Was Expected and the Percentage of Patients for Which Incomplete Data or Follow-Up Was Obtained | Total Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yue et al. 2018 [14] | Yes | yes | no | yes | no | yes | Yes | no | n/a | yes | n/a | 6 |
| Schmalz et al. 2016 [15] | Yes | yes | no | yes | no | no | Yes | no | n/a | yes | n/a | 5 |
| Gautam et al. 2014 [16] | Yes | yes | yes | yes | no | no | Yes | no | n/a | yes | n/a | 6 |
| Cruz et al. 2021 [17] | Yes | yes | yes | yes | no | no | Yes | no | n/a | yes | n/a | 6 |
| Ziebolz et al. 2012 [18] | yes | yes | no | yes | no | no | n/a | no | n/a | yes | n/a | 4 |
| Misaki et al. 2021 [10] | yes | no | yes | yes | no | no | Yes | yes | n/a | yes | yes | 7 |
| Sekiguchi et al. 2012 [19] | yes | yes | no | yes | yes | yes | Yes | no | n/a | yes | n/a | 7 |
| Cengiz et al. 2009 [8] | yes | no | yes | yes | no | yes | Yes | no | n/a | yes | n/a | 6 |
| Bayraktar et al. 2007 [20] | yes | no | no | yes | no | no | Yes | no | n/a | yes | n/a | 4 |
| Tiwari et al. 2013 [21] | yes | yes | no | yes | no | yes | Yes | no | n/a | yes | n/a | 6 |
| Tadakamadla et al. 2014 [22] | yes | yes | yes | yes | yes | no | Yes | no | n/a | yes | n/a | 7 |
| Cunha et al. 2007 [23] | yes | yes | no | yes | no | yes | Yes | no | n/a | yes | n/a | 6 |
| Chuang et al. 2005 [24] | yes | yes | no | yes | no | yes | Yes | no | n/a | yes | n/a | 6 |
| Benderli et al. 2000 [25] | yes | no | no | no | no | no | Yes | no | n/a | yes | n/a | 3 |
| Schmalz et al. 2016 [26] | yes | yes | yes | yes | no | no | Yes | no | n/a | yes | n/a | 6 |
| Schmalz et al. 2018 [27] | yes | yes | no | yes | no | no | Yes | no | n/a | yes | n/a | 5 |
| Akca et al. 2021 [28] | yes | yes | yes | yes | no | no | Yes | no | n/a | yes | n/a | 6 |
| Ruas et al. 2018 [29] | yes | no | no | yes | no | yes | Yes | no | n/a | yes | n/a | 5 |
| Bayraktar et al. 2004 [30] | yes | no | no | yes | no | no | Yes | no | n/a | yes | n/a | 4 |
| Buhlin et al. 2007 [31] | yes | no | no | yes | no | no | Yes | no | n/a | yes | n/a | 4 |
| Al-Wahadni et al. 2003 [32] | yes | no | no | yes | no | yes | Yes | no | n/a | yes | n/a | 5 |
| Pereira-Lopes et al. 2019 [33] | yes | yes | yes | yes | no | yes | Yes | no | n/a | yes | n/a | 7 |
| Bots et al. 2007 [34] | yes | no | no | yes | no | no | Yes | no | n/a | yes | n/a | 4 |
| Amaral et al. 2022 [35] | yes | yes | yes | yes | no | no | Yes | no | n/a | yes | n/a | 6 |
| Naugle et al. 1998 [36] | yes | yes | no | yes | no | yes | n/a | no | n/a | yes | n/a | 5 |
| Schmalz et al. 2017 [27] | yes | yes | no | yes | no | yes | Yes | no | n/a | yes | n/a | 6 |
| Souza et al. 2008 [37] | yes | no | no | yes | no | no | Yes | no | n/a | yes | n/a | 4 |
| Menezes et al. 2019 [38] | yes | yes | no | yes | no | no | Yes | no | n/a | yes | n/a | 5 |
| Marinho et al. 2007 [39] | yes | yes | no | yes | no | no | Yes | no | n/a | yes | n/a | 5 |
| Misaki et al. 2019 [40] | yes | no | yes | yes | no | no | Yes | no | n/a | yes | n/a | 5 |
| Pakpour et al. 2014 [41] | yes | yes | yes | yes | no | yes | Yes | no | n/a | yes | n/a | 7 |
| Mizutani et al. 2020 [10] | yes | no | yes | yes | no | no | Yes | no | n/a | yes | yes | 6 |
| Rocha et al. 2022 [42] | yes | yes | no | yes | no | yes | Yes | no | n/a | yes | yes | 7 |
4. Discussion
A total of 33 studies from a variety of countries and a large range of sample sizes were qualitatively analyzed in this systematic review. Only one third had a healthy control group, whereby only six revealed a significant difference between RRT and control while four studies showed the RRT group to have higher caries prevalence. To report on caries prevalence, most studies applied the DMF-T index and partly the D-T sub-aspect separately. Number of remaining teeth, salivary as well as RRT-related parameters (e.g., estimated glomerular filtration rate [eGFR], laboratory values) were rarely reported across studies.
Against the previously formed hypothesis, i.e., a higher caries burden in RRT individuals, a strong conclusion cannot be unequivocally formulated. Only four out of the 33 studies found a significantly worse caries prevalence in the RRT group in a direct comparison with a healthy control group, while two studies showed the opposite. However, if the D-T values are listed and compared to available reference values of the healthy general population (Figure 2), a trend can be seen. Within a population-representative sample, the fifth German oral health study (DMSV) showed that adults between 44 and 65 years old (a similar age group as in the included studies) had a D-T of 0.5 [43]. As can be seen from Figure 2, all included studies showed higher D-T values, indicating a worse caries prevalence across studies. However, this interpretation is limited by differences in caries prevalence between different countries [2]. Therefore, the hypothesis is indeed confirmed, but the evidence is still limited. Dental caries was mainly evaluated by DMF-T and D-T across included studies. The DMF-T is an index for clinical studies, whereby the D-T reflects visually detectable carious cavitation on the tooth surface [44]. This is a recommendable clinical examination for research questions, but has several weak points. Early carious lesions without cavitation are not recorded; moreover, caries activity and extent are not assessed in the DMF-T index. Therefore, more comprehensive and detailed procedures which provide such information could be applied, including the International Caries Detection and Assessment System (ICDAS) or the International Caries Classification and Management System (ICCM) [45,46]. Future studies should accordingly consider one of those systems to obtain more detailed information on the caries burden in the patients.
Another issue is the localization of carious lesions, on which the included studies did not provide sufficient information. Especially in individuals undergoing RRT, who might suffer from dry mouth and relevant co-morbidities, the occurrence of root caries would be of certain relevance. Root caries is highly prevalent, especially in individuals with the aforementioned risk factors [47]. Because of the difficult therapy and thus inappropriate prognosis of root carious lesions, its sufficient diagnostic and preventive strategy is eminent [47,48]. Accordingly, the occurrence of root caries in patients on RRT would be of high practical interest; however, none of the included studies evaluated this issue separately, rendering it an important gap in recent evidence. Future studies on dental caries in RRT patients should therefore consider differentiation between different caries stadiums as well as their activity, alongside caries localization, focusing especially on root surfaces. Thereby, additional diagnostic procedures have never been applied to RRT individuals, including, e.g., radiographic diagnostics (bitewing), laser fluorescence or light-induced fluorescence, which have considerable value as diagnostic procedures adjunctive to visual inspection [49,50,51]. Due to differences in sensitivity between visual inspection and adjunctive diagnostics [52], the combination of different diagnostic procedures would be of interest for RRT patients. It would be of particular interest for secondary caries, i.e., carious lesions at the margin of present restorations [53]. Altogether, this discussion underlines the lack of knowledge on dental caries in patients on RRT and provides several novel approaches for future research in the field.
Although the evidence on dental caries in RRT individuals is somewhat unsatisfactory, the increased caries prevalence might be of potential importance for the outcome in those patients. The recent literature suggests some evidence for this relationship. A clinical study on 80 individuals under HD showed that a higher caries burden (DMF-T) was associated with the aortic calcification index and thus with arteriosclerosis (but not with mortality) [54]. Another prospective cohort study found untreated caries to increase all-cause mortality in HD patients [10]. A Taiwanese nationwide population-based cohort study in patients with CKD showed that sufficient root canal treatment, which is often needed in case of fairly advanced carious lesions, leads to a lower risk of death during HD therapy [55]. In the included studies, therapy-related issues (e.g., eGFR) or inflammatory laboratory values (e.g., C-reactive protein [CRP]) were rarely considered across investigations, making a conclusion on this issue impossible. However, the high caries prevalence alongside the potential risk of harm for the patients on RRT supports a demand for improved oral care in those individuals. In the context of the interrelation between oral conditions and kidney failure, several different factors appear of relevance: thereby, those patients are a special cohort with different systemic conspicuities, including increased levels of oxidative stress and inflammation [56], alongside premature ageing of the whole body and vascular system [57,58]. Those issues could be influential for the high oral burden in those individuals, and vice versa. Thereby, patients under RRT show a variety of potential confounding factors for caries development and progression; one relevant issue is the nutrition of patients on RRT, especially considering dialysis-related malnutrition and intake of carbohydrates, which can serve as a substrate for caries-related microorganisms [59,60]. Furthermore, the upper mentioned relevance of reduced salivary flow and quality, especially considering the occurrence of xerostomia, increases the risk of caries, because the reservoir for remineralization is limited [7,61]. In addition, microbiological issues, favoring relevant cariogenic bacteria (especially under consideration of co-morbidities such as diabetes mellitus), are confounding factors in patients on RRT [9]. Finally, patients on RRT are immunocompromised, showing a higher risk of infectious disease in general [62]. The affected immune response could also be a relevant factor for caries development and progression. Alongside gingival recession following periodontal burden, which is highly prevalent in individuals on RRT [63], a remarkable risk for the development of root caries can be presumed. However, the causal relationship or the oral–systemic interrelationship in patients with kidney failure or on RRT still require further research.
Especially under consideration of the patient perspective and therefore within a multidisciplinary, patient-centered approach, this issue has already been addressed previously [11]. This appears to also be relevant for another common oral health issue in RRT individuals which influences caries prevalence: hyposalivation and xerostomia. This issue has rarely been recognized within the studies included in this systematic review. It has been discussed that xerostomia in RRT individuals (especially those on HD) would be important not only for well-being but also for the general morbidity of the patients [64]. Therefore, this deserves a multidisciplinary approach involving nephrologists as well as dentists. Accordingly, a main conclusion of the results from this systematic review is the need for improved, multidisciplinary, patient-centered dental care concepts to improve the dental conditions (and overall oral health) of RRT patients.
This systematic review followed the PRISMA guidelines and had a clear PICO question. The whole systematic search was performed by independent reviewers; furthermore, the research question is of high clinical relevance. However, several limitations need to be addressed for the review itself and the included studies. On the one hand, a variety of heterogeneous studies was included, which were performed in different patients and countries, under application of different, quite general visual caries assessments. This limits the generalizability of the data and is the reason for not performing a quantitative (meta-) analysis, making this current study only a qualitative synthesis. Additionally, studies both with and without a healthy control group were included; the question of whether RRT individuals suffer from higher caries prevalence can only be unequivocally answered in case of a control group. However, many studies addressed the topic without a control group and showed high caries prevalence when compared to available reference values for interpretation (see Figure 2). Furthermore, the included studies were mainly of moderate quality (see quality appraisal). Additionally, many studies investigated patients under HD, while PD and KTx are still rarely examined. Alongside the lack of differentiated caries diagnostics and consideration of additional RRT-related parameters, the available evidence must be seen as limited, requiring further well-performed clinical studies in the field.
5. Conclusions
Within the limitations of the systematic review, patients on RRT show a high prevalence of dental caries. Thereby, no information regarding caries stadium, activity and localization is available yet. As observational data suggest a link between oral health and mortality in patients on RRT, improved, multidisciplinary, patient-centered dental care concepts are required to support dental and overall oral health in individuals on RRT, along with a need for further research in the field.
Acknowledgments
The authors acknowledge support from Leipzig University for Open Access Publishing.
Abbreviations
| CKD | Chronic kidney disease |
| CPI | community periodontal index |
| CRP | C-reactive protein |
| D-T | number of decayed teeth |
| DMF-T | decayed-, missing- and filled teeth index |
| eGFR | estimated glomerular filtration rate |
| F-T | number of filled teeth |
| GI | gingival index |
| HD | hemodialysis |
| KTx | kidney transplantation |
| M-T | number of missing teeth |
| PI | plaque index |
| RRT | renal replacement therapy |
Author Contributions
D.K. and B.L.V.E. performed the data curation and analysis and wrote the manuscript. T.E., J.d.F., R.H. and D.Z. participated in data interpretation and revised the manuscript. G.S. was head of the study, participated in data curation, analysis and interpretation and revised the manuscript. All authors gave their final approval for the manuscript in its current version. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
All data generated or analyzed during this study are included in this published article.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research received no external funding.
Footnotes
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analyzed during this study are included in this published article.


