Association of type 2 diabetes with periodontitis and tooth loss in patients undergoing hemodialysis
Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on peri...
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Published in | PloS one Vol. 17; no. 5; p. e0267494 |
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Main Authors | , , , , , , , , , , , , |
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06.05.2022
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Abstract | Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known.
This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis.
A single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) ≥4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them.
After adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02-2.65, p = 0.04). The proportion of PPD≥4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2-8.0 and 3.4-8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03-0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0-2.7, p = 0.37), were significantly associated with the number of missing teeth.
T2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. |
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AbstractList | Background Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. Objective This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis. Subjects and methods A single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) ≥4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them. Results After adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02–2.65, p = 0.04). The proportion of PPD≥4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2–8.0 and 3.4–8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03–0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0–2.7, p = 0.37), were significantly associated with the number of missing teeth. Conclusion T2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. Background Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. Objective This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis. Subjects and methods A single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) [greater than or equal to]4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them. Results After adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02-2.65, p = 0.04). The proportion of PPD[greater than or equal to]4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2-8.0 and 3.4-8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03-0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0-2.7, p = 0.37), were significantly associated with the number of missing teeth. Conclusion T2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis. A single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) [greater than or equal to]4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them. After adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02-2.65, p = 0.04). The proportion of PPD[greater than or equal to]4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2-8.0 and 3.4-8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03-0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0-2.7, p = 0.37), were significantly associated with the number of missing teeth. T2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis. A single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) ≥4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them. After adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02-2.65, p = 0.04). The proportion of PPD≥4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2-8.0 and 3.4-8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03-0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0-2.7, p = 0.37), were significantly associated with the number of missing teeth. T2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. Background Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. Objective This study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis. Subjects and methods A single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) ≥4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them. Results After adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02–2.65, p = 0.04). The proportion of PPD≥4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2–8.0 and 3.4–8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03–0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0–2.7, p = 0.37), were significantly associated with the number of missing teeth. Conclusion T2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. BACKGROUNDLimited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and periodontal disease is well-known. OBJECTIVEThis study aimed to investigate the influence of type 2 diabetes mellitus (T2D) and its control level on periodontal disease and the number of missing teeth in patients undergoing hemodialysis. SUBJECTS AND METHODSA single-center cross-sectional study was conducted on 246 Japanese patients with end-stage renal disease undergoing hemodialysis. Comprehensive medical and dental examinations were performed. The association between severity of periodontitis and T2D was examined by multiple ordered logistic regression analysis. A multiple linear regression model was fitted to assess the association of periodontal probing depth (PPD) ≥4 mm and the number of missing teeth with T2D (n = 125). A subgroup analysis involving only the patients with T2D was performed to investigate the factors associated with missing teeth among them. RESULTSAfter adjusting for confounders, the classification of periodontitis severity was significantly advanced in patients with T2D (odds ratio: 1.64, 95% confidence interval [CI]: 1.02-2.65, p = 0.04). The proportion of PPD≥4 mm sites and the number of missing teeth was significantly associated with T2D (coefficient: 4.1 and 5.7, 95% CI: 0.2-8.0 and 3.4-8.0, p = 0.04 and <0.001, respectively). Subgroup analysis of T2D patients revealed that glycoalbumin levels (coefficient: 0.4, 95% CI: 0.03-0.80, p = 0.03), but not hemoglobin A1c levels (coefficient: 0.8, 95% CI: -1.0-2.7, p = 0.37), were significantly associated with the number of missing teeth. CONCLUSIONT2D was significantly associated with periodontitis and the number of missing teeth in hemodialysis patients. Moreover, it is first documented that poor glycemic control, as determined by glycoalbumin levels, was significantly associated with the number of missing teeth in hemodialysis patients with T2D. |
Audience | Academic |
Author | Aoyama, Norio Saito, Natsumi Matsuura, Takanori Kido, Daisuke Iwata, Takanori Fujiwara, Takeo Mizutani, Koji Matsuyama, Yusuke Izumi, Yuichi Gohda, Tomohito Gotoh, Hiromichi Mikami, Risako Takeda, Kohei |
AuthorAffiliation | 7 Department of Behavioral Dentistry, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan 1 Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan 2 Department of Global Health Promotion, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan 5 Division of Periodontology, Department of Oral Interdisciplinary Medicine, Graduate School of Dentistry, Kanagawa Dental University, Inaokacho, Yokosuka, Kanagawa, Japan 6 Weintraub Center for Reconstructive Biotechnology, Division of Advanced Prosthodontics, UCLA School of Dentistry, Los Angeles, California, United States of America 3 Department of Nephrology, Juntendo University Faculty of Medicine, Bunkyo, Tokyo, Japan 9 Oral Care Perio Center, Southern Tohoku Research Institute for Neuroscience Southern Tohoku General Hospital, Koriyama, Fukushima, Japan 8 Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan |
AuthorAffiliation_xml | – name: 7 Department of Behavioral Dentistry, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – name: 5 Division of Periodontology, Department of Oral Interdisciplinary Medicine, Graduate School of Dentistry, Kanagawa Dental University, Inaokacho, Yokosuka, Kanagawa, Japan – name: 8 Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – name: 9 Oral Care Perio Center, Southern Tohoku Research Institute for Neuroscience Southern Tohoku General Hospital, Koriyama, Fukushima, Japan – name: 3 Department of Nephrology, Juntendo University Faculty of Medicine, Bunkyo, Tokyo, Japan – name: All India Institute of Medical Sciences, INDIA – name: 2 Department of Global Health Promotion, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – name: 6 Weintraub Center for Reconstructive Biotechnology, Division of Advanced Prosthodontics, UCLA School of Dentistry, Los Angeles, California, United States of America – name: 4 Department of Internal Medicine, Saiyu Soka Hospital, Matsubara, Soka, Saitama, Japan – name: 1 Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan |
Author_xml | – sequence: 1 givenname: Risako orcidid: 0000-0003-1398-0450 surname: Mikami fullname: Mikami, Risako organization: Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 2 givenname: Koji surname: Mizutani fullname: Mizutani, Koji organization: Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 3 givenname: Yusuke orcidid: 0000-0002-6114-5604 surname: Matsuyama fullname: Matsuyama, Yusuke organization: Department of Global Health Promotion, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 4 givenname: Tomohito surname: Gohda fullname: Gohda, Tomohito organization: Department of Nephrology, Juntendo University Faculty of Medicine, Bunkyo, Tokyo, Japan – sequence: 5 givenname: Hiromichi surname: Gotoh fullname: Gotoh, Hiromichi organization: Department of Internal Medicine, Saiyu Soka Hospital, Matsubara, Soka, Saitama, Japan – sequence: 6 givenname: Norio surname: Aoyama fullname: Aoyama, Norio organization: Division of Periodontology, Department of Oral Interdisciplinary Medicine, Graduate School of Dentistry, Kanagawa Dental University, Inaokacho, Yokosuka, Kanagawa, Japan – sequence: 7 givenname: Takanori orcidid: 0000-0001-7539-1227 surname: Matsuura fullname: Matsuura, Takanori organization: Weintraub Center for Reconstructive Biotechnology, Division of Advanced Prosthodontics, UCLA School of Dentistry, Los Angeles, California, United States of America – sequence: 8 givenname: Daisuke surname: Kido fullname: Kido, Daisuke organization: Department of Behavioral Dentistry, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 9 givenname: Kohei orcidid: 0000-0002-9063-2532 surname: Takeda fullname: Takeda, Kohei organization: Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 10 givenname: Natsumi surname: Saito fullname: Saito, Natsumi organization: Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 11 givenname: Takeo surname: Fujiwara fullname: Fujiwara, Takeo organization: Department of Global Health Promotion, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan – sequence: 12 givenname: Yuichi surname: Izumi fullname: Izumi, Yuichi organization: Oral Care Perio Center, Southern Tohoku Research Institute for Neuroscience Southern Tohoku General Hospital, Koriyama, Fukushima, Japan – sequence: 13 givenname: Takanori surname: Iwata fullname: Iwata, Takanori organization: Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo, Tokyo, Japan |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35522619$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_2329_perio_66_49 crossref_primary_10_3390_jcm11195854 crossref_primary_10_1007_s40496_022_00313_0 crossref_primary_10_2329_perio_64_136 crossref_primary_10_4239_wjd_v14_i12_1793 |
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References | pone.0267494.ref030 K Takeda (pone.0267494.ref012) 2021; 9 K Mizutani (pone.0267494.ref026) 2020; 10 R Jofré (pone.0267494.ref019) 2006; 17 MA Atieh (pone.0267494.ref009) 2014; 104 D Kido (pone.0267494.ref034) 2017; 12 K Mizutani (pone.0267494.ref014) 2014; 93 M Miyabe (pone.0267494.ref032) 2019; 56 S Paraskevas (pone.0267494.ref007) 2008; 35 R Mikami (pone.0267494.ref023) 2020 RJ Genco (pone.0267494.ref005) 2020; 83 GL King (pone.0267494.ref017) 2008; 79 K Naruishi (pone.0267494.ref021) 2016; 2 P Buranasin (pone.0267494.ref035) 2018; 13 I Masakane (pone.0267494.ref002) 2015; 19 Y Seino (pone.0267494.ref025) 2010; 1 K Mizutani (pone.0267494.ref038) 2021; 10 S Maekawa (pone.0267494.ref037) 2017; 52 K Takeda (pone.0267494.ref036) 2018; 13 RC Page (pone.0267494.ref027) 2007; 78 WS Borgnakke (pone.0267494.ref010) 2013; 84 JJ Carrero (pone.0267494.ref004) 2011; 6 F Graziani (pone.0267494.ref011) 2018; 45 pone.0267494.ref001 E Lalla (pone.0267494.ref013) 2000; 105 DT Graves (pone.0267494.ref016) 2020; 82 YS Khader (pone.0267494.ref033) 2006; 20 RJ Genco (pone.0267494.ref039) 2013; 62 L Ma (pone.0267494.ref003) 2017; 238 BL Pihlstrom (pone.0267494.ref018) 2005; 366 World Health Organization (pone.0267494.ref028) 2013 M Divani (pone.0267494.ref031) 2018; 47 JC Greene (pone.0267494.ref029) 1964; 68 T Hanioka (pone.0267494.ref022) 2011; 11 RT Demmer (pone.0267494.ref006) 2013; 8 G Teratani (pone.0267494.ref020) 2013; 17 H Kominato (pone.0267494.ref015) 2021 HP Artese (pone.0267494.ref008) 2015; 10 T Gohda (pone.0267494.ref024) 2017; 7 |
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mortality in patients with type 2 diabetes mellitus receiving peritoneal dialysis publication-title: Ann Clin Biochem doi: 10.1177/0004563219873688 contributor: fullname: M Miyabe – volume: 68 start-page: 7 year: 1964 ident: pone.0267494.ref029 article-title: Thr simplified oral hygiene index publication-title: J Am Dent Assoc doi: 10.14219/jada.archive.1964.0034 contributor: fullname: JC Greene – volume: 47 start-page: 21 issue: 1 year: 2018 ident: pone.0267494.ref031 article-title: Comparison of Glycemic Markers in Chronic Hemodialysis Using Continuous Glucose Monitoring publication-title: Am J Nephrol doi: 10.1159/000485843 contributor: fullname: M Divani – volume: 13 start-page: e0207201 issue: 11 year: 2018 ident: pone.0267494.ref036 article-title: Periodontal regenerative effect of enamel matrix derivative in diabetes publication-title: PLoS One doi: 10.1371/journal.pone.0207201 contributor: fullname: K Takeda – volume: 10 start-page: e0128344 issue: 5 year: 2015 ident: 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Snippet | Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between diabetes and... Background Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between... Background Limited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between... BACKGROUNDLimited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between... BackgroundLimited evidence are available regarding the influence of diabetes on periodontitis in hemodialysis patients, although the association between... |
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SubjectTerms | Age Agreements Biochemistry Biology and Life Sciences Body mass index Care and treatment Coefficients Complications and side effects Confidence intervals Cross-Sectional Studies Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - complications Disease control Edentulous End-stage renal disease Female Glucose Gum disease Hemodialysis Hemoglobin Humans Inflammation Kidney diseases Male Medicine and Health Sciences Patient outcomes Patients Periodontal disease Periodontal diseases Periodontitis Periodontitis - complications Regression analysis Regression models Renal Dialysis Risk factors Statistical analysis Subgroups Teeth Tooth loss Tooth Loss - complications Type 2 diabetes |
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Title | Association of type 2 diabetes with periodontitis and tooth loss in patients undergoing hemodialysis |
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