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Kumar V, Arya G, Singh P, Chauhan P. A meta analysis for evaluation of marginal bone level changes at dental implants. Natl J Maxillofac Surg 2021; 12:13-16. [PMID: 34188395 PMCID: PMC8191558 DOI: 10.4103/njms.njms_179_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 09/25/2020] [Accepted: 11/04/2020] [Indexed: 11/04/2022] Open
Abstract
Aim The aim of this study was to assess the marginal bone level changes at dental implants after 1 year in function. Methods Detailed searches from PubMed databases were made. A MEDLINE search (PubMed) published in the English language from 1980 to December 2018 was included in this study. Results The electronic database research (MEDLINE) produced 166 corresponding articles. One hundred and twenty studies were excluded on the basis of abstract while the 46 researches were used chosen for full-text examination after the title and abstract testing, and 41 studies were excluded that did not meet the requirements of our inclusion and exclusion criteria. A total of 5 studies for a quantitative analysis were taken into account. Conclusion Within the limits of the study, the mean marginal bone loss (MBL) was found to be 0.56 mm. A statistically significant difference in the MBL was found between the various studies.
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Affiliation(s)
- Varun Kumar
- Department of Prosthodontics and Oral Implantology, Seema Dental College and Hospital, Rishikesh, Uttarakhand, India
| | - Geeta Arya
- Department of Prosthodontics and Oral Implantology, Seema Dental College and Hospital, Rishikesh, Uttarakhand, India
| | - Pranshu Singh
- Facedentiss Clinic, IIMT Lifeline Hospital, Meerut, Uttar Pradesh, India
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Abdelwahab M, Nørholt SE, Taneja P. The Efficacy of Physics Forceps for Exodontia: A Systematic Review. J Oral Maxillofac Surg 2020; 79:989.e1-989.e13. [PMID: 33503402 DOI: 10.1016/j.joms.2020.12.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/01/2020] [Accepted: 12/14/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE The aim of this study was to systematically review the literature to investigate the efficacy of physics forceps compared with conventional forceps for routine exodontia. METHODS A systematic review was conducted using Embase, MEDLINE, PubMed, Scopus, Web of Science, Dentistry and Oral Sciences Source, Cochrane databases and Google Scholar. Primary outcomes investigated were buccal cortical plate fracture and gingival laceration and secondary outcomes included bleeding, delayed healing, ease of technique, pain, tooth fracture, operating time, and postoperative infection. RESULTS Eight randomized controlled trials were included in the review. One study identified a significant difference in buccal cortical plate fracture (P = .001), and 3 studies reported a significant reduction in gingival laceration (all P ≤ .032) from using physics forceps, compared with conventional forceps. Secondary outcomes of bleeding (K = 2) and pain (K = 3), on day 1, were significantly reduced when using the physics forceps (P ≤ .001 and P ≤ .03, respectively). There were no significant differences or inconclusive results found for tooth fracture, operating time, ease of technique, postoperative infection, and delayed healing. CONCLUSIONS The review identified that only a limited number of included studies were reported to provide a more atraumatic approach for routine exodontia in terms of buccal cortical plate fracture, gingival laceration, postoperative pain, and bleeding, when compared with conventional forceps. Most studies reported no significant differences. However, studies were associated with a high risk of bias and selective outcome reporting.
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Affiliation(s)
- Mohamed Abdelwahab
- Speciality Dentist in Oral Surgery, Department of Oral Surgery, Birmingham Dental Hospital, Birmingham, UK
| | - Sven Erik Nørholt
- Clinical Professor and Consultant Oral and Maxillofacial Surgeon, Section of Oral and Maxillofacial Surgery and Oral Pathology, Department of Dentistry and Oral Health, Aarhus University, Aarhus C, Denmark; and Tand-, Mund-, Kæbekirurgisk Klinik, Aarhus University Hospital, Aarhus C, Denmark
| | - Pankaj Taneja
- Post doc and Specialist Oral Surgeon, Section of Oral and Maxillofacial Surgery and Oral Pathology, Department of Dentistry and Oral Health, Aarhus University, Aarhus C, Denmark.
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Dental Caries Prediction Based on a Survey of the Oral Health Epidemiology among the Geriatric Residents of Liaoning, China. BIOMED RESEARCH INTERNATIONAL 2020; 2020:5348730. [PMID: 33376726 PMCID: PMC7739046 DOI: 10.1155/2020/5348730] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 11/12/2020] [Accepted: 11/26/2020] [Indexed: 11/25/2022]
Abstract
Background Dental caries is one of the most common chronic diseases observed in elderly patients. The development of preventive strategies for dental caries in elderly individuals is vital. Objective The objective of the present study was to construct a generalized regression neural network (GRNN) prediction model for the risk assessment of dental caries among the geriatric residents of Liaoning, China. Methods A stratified equal-capacity random sampling method was used to randomly select 1144 elderly (65-74 years) residents (gender ratio 1 : 1) of Liaoning, China. Data for the oral assessment, including caries characteristics, and questionnaire survey from each participant were collected. Multivariate logistic regression analysis was then performed to identify the independent predictors. GRNN was applied to establish a prediction model for dental caries. The accuracy of the unconditional logistic regression and the GRNN early warning model was compared. Results A total of 1144 patients fulfilled the requirements and completed the questionnaires. The caries rate was 68.5%, and the main associated factors were toothache history, residence area, smoking, and drinking. We randomly divided the data for the 1144 participants into a training set (915 cases) and a test set (229 cases). The optimal smoothing factor was 0.7, and the area under the receiver operating characteristic curve for the GRNN model was 0.626 (95% confidence interval, 0.544 to 0.708), with a P value of 0.002. In terms of consistency, sensitivity, and specificity, the GRNN model was better than the traditional unconditional multivariate logistic regression model. Conclusion Geriatric (65-74 years) residents of Liaoning, China, have a high rate of dental caries. Residents with a history of toothache and smoking habits are more susceptible to the disease. The GRNN early warning model is an accurate and meaningful tool for screening, early diagnosis, and treatment planning for geriatric individuals with a high risk of caries.
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Walter MH, Dreyhaupt J, Mundt T, Kohal R, Kern M, Rauch A, Nothdurft F, Hartmann S, Böning K, Boldt J, Stark H, Edelhoff D, Wöstmann B, Luthardt RG, Hannak W, Wolfart S, Heydecke G, Jahn F, Pospiech P, Marré B. Periodontal health in shortened dental arches: A 10-year RCT. J Prosthodont Res 2020; 64:498-505. [PMID: 32063531 DOI: 10.1016/j.jpor.2020.01.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/18/2019] [Accepted: 01/21/2020] [Indexed: 10/25/2022]
Abstract
PURPOSE This analysis focused on periodontal health in shortened dental arches (SDAs). METHODS In a randomized controlled clinical trial, patients with missing molars in one jaw and at least one premolar and canine on both sides were eligible for participation. In the partial removable dental prosthesis (PRDP) group (n = 79), molars were replaced with a precision attachment retained PRDP. In the SDA group (n == 71), the SDA up to the second premolars was either left as is or restored with fixed dental prostheses. Outcome variables were vertical clinical attachment loss (CAL-V), pocket probing depth (PPD), bleeding on probing (BOP) and plaque index (PLI). For CAL-V and PPD, the changes at six measuring points per tooth were analyzed. For BOP and PLI, patient related rates were calculated for each point in time. Statistical methods included linear regression analyses. RESULTS In the intention-to-treat (ITT) analysis for CAL-V in the study jaw, the 10 year patient related mean changes were 0.66 mm in the PRDP group and -0.13 mm in the SDA group. The resulting mean patient related group difference of 0.79 mm (95% CI: 0.20 mm-1.38 mm) was significant (p = 0.01). There were no significant differences in the ITT analyses for PPD. For BOP and PLI, significant group differences with more favorable results for the SDA group were found. CONCLUSIONS In view of lacking substantial differences for CAL-V and PPD, the overall differences were considered of minor clinical relevance. The results add confirmatory evidence to the shortened dental arch concept and its clinical viability (controlled-trials.com ISRCTN97265367).
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Affiliation(s)
- Michael H Walter
- Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden 01307, Germany.
| | - Jens Dreyhaupt
- Institute of Epidemiology and Medical Biometry, Ulm University, Schwabstraße 13, Ulm 89075, Germany
| | - Torsten Mundt
- Department of Prosthodontics, Gerodontology and Biomaterials, Dental School, University of Greifswald, Rotgerberstr. 8, Greifswald 17487, Germany
| | - Ralf Kohal
- Department of Prosthetic Dentistry, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, Freiburg im Breisgau 79106, Germany
| | - Matthias Kern
- Department of Prosthodontics, Propaedeutics and Dental Materials, School of Dentistry, Christian-Albrechts University, Christian-Albrechts-Platz 4, Kiel 24118, Germany
| | - Angelika Rauch
- Department of Prosthodontics and Materials Science, University of Leipzig, Liebigstr. 18, Leipzig 04103, Germany
| | - Frank Nothdurft
- Department of Prosthetic Dentistry and Dental Materials Science, Medical Center, Dental School and Clinics, Saarland University, Campus Homburg, Kirrberger Str. 100, Homburg/Saar 66421, Germany
| | - Sinsa Hartmann
- Department of Prosthetic Dentistry, Johannes-Gutenberg University of Mainz, Langenbeckstr. 1, Mainz 55131, Germany
| | - Klaus Böning
- Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden 01307, Germany
| | - Julian Boldt
- Department of Prosthetic Dentistry, Julius-Maximilians University of Würzburg, Pleicherwall 2, Würzburg 97070, Germany
| | - Helmut Stark
- Department of Prosthodontics, Preclinical Education and dental Materials Science, University of Bonn, Welschnonnenstr.17, Bonn 53111, Germany
| | - Daniel Edelhoff
- Department of Prosthetic Dentistry, University Hospital, LMU Ludwig-Maximilians-University, Goethestraße 70, Munich 80336, Germany
| | - Bernd Wöstmann
- Department of Prosthetic Dentistry, Justus-Liebig University of Gießen, Rudolf-Buchheim-Str. 8, Gießen 35392, Germany
| | - Ralph Gunnar Luthardt
- Department of Prosthetic Dentistry, Center of Dentistry, Universitätsklinikum Ulm, Albert-Einstein-Allee 11, Ulm 89081, Germany
| | - Wolfgang Hannak
- Charité - Universitätsmedizin Berlin, CC3 - Charité, Center for Dental and Craniofacial Sciences, Department of Prosthodontics, Geriatic Dentistry and Craniomandibular Disorders, Campus Benjamin Franklin, Aßmannshauser Straße 4-6, Berlin 14197, Germany
| | - Stefan Wolfart
- Department of Prosthodontics and Biomaterials, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, Aachen 52074, Germany
| | - Guido Heydecke
- Department of Prosthodontics, University Medical Center Eppendorf, Zahnärztliche Prothetik, Martinistr. 52, Hamburg 20246, Germany
| | - Florentine Jahn
- Department of Prosthetic Dentistry and Dental Material Science, Friedrich-Schiller University of Jena, Poliklinik für Zahnärztliche Prothetik und Werkstoffkunde, An der Alten Post 4, Jena 07743, Germany
| | | | - Birgit Marré
- Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden 01307, Germany
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Sommer M, Zimmermann J, Grize L, Stübinger S. Marginal bone loss one year after implantation: a systematic review of different loading protocols. Int J Oral Maxillofac Surg 2020; 49:121-134. [DOI: 10.1016/j.ijom.2019.03.965] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Revised: 03/08/2019] [Accepted: 03/18/2019] [Indexed: 12/24/2022]
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Friedman PK, Lamster IB. Tooth loss as a predictor of shortened longevity: exploring the hypothesis. Periodontol 2000 2016; 72:142-52. [DOI: 10.1111/prd.12128] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2015] [Indexed: 01/07/2023]
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Teng F, Yang F, Huang S, Bo C, Xu ZZ, Amir A, Knight R, Ling J, Xu J. Prediction of Early Childhood Caries via Spatial-Temporal Variations of Oral Microbiota. Cell Host Microbe 2016; 18:296-306. [PMID: 26355216 DOI: 10.1016/j.chom.2015.08.005] [Citation(s) in RCA: 157] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 06/29/2015] [Accepted: 08/14/2015] [Indexed: 11/30/2022]
Abstract
Microbiota-based prediction of chronic infections is promising yet not well established. Early childhood caries (ECC) is the most common infection in children. Here we simultaneously tracked microbiota development at plaque and saliva in 50 4-year-old preschoolers for 2 years; children either stayed healthy, transitioned into cariogenesis, or experienced caries exacerbation. Caries onset delayed microbiota development, which is otherwise correlated with aging in healthy children. Both plaque and saliva microbiota are more correlated with changes in ECC severity (dmfs) during onset than progression. By distinguishing between aging- and disease-associated taxa and exploiting the distinct microbiota dynamics between onset and progression, we developed a model, Microbial Indicators of Caries, to diagnose ECC from healthy samples with 70% accuracy and predict, with 81% accuracy, future ECC onsets for samples clinically perceived as healthy. Thus, caries onset in apparently healthy teeth can be predicted using microbiota, when appropriately de-trended for age.
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Affiliation(s)
- Fei Teng
- Department of Operative Dentistry and Endodontics, Guanghua School and Hospital of Stomatology, Sun Yat-sen University, Guangzhou, 510055, China; Single-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China
| | - Fang Yang
- Department of Stomatology, Qingdao Municipal Hospital, Qingdao, Shandong, 266101 China
| | - Shi Huang
- Single-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China
| | - Cunpei Bo
- Single-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China
| | - Zhenjiang Zech Xu
- Departments of Pediatrics and Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Amnon Amir
- Departments of Pediatrics and Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Rob Knight
- Departments of Pediatrics and Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Junqi Ling
- Department of Operative Dentistry and Endodontics, Guanghua School and Hospital of Stomatology, Sun Yat-sen University, Guangzhou, 510055, China.
| | - Jian Xu
- Single-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
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Natto ZS, Aladmawy M, Alasqah M, Papas A. Factors contributing to tooth loss among the elderly: A cross sectional study. ACTA ACUST UNITED AC 2014; 35:17-22. [PMID: 25496581 DOI: 10.1016/j.sdj.2014.11.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2014] [Revised: 06/09/2014] [Accepted: 11/06/2014] [Indexed: 10/24/2022]
Abstract
BACKGROUND The present study evaluates the influence of several demographic, health, personal, and clinical factors on the number of missing teeth in old age sample. METHODS The number of patients included was 259; they received a full mouth examination and answered a questionnaire provided by one examiner. All the variables related to teeth loss based on the literature were included. These variables focused on age, gender, race, marital status, clinical attachment level, pocket depth, year of smoking, number of cigarettes smoked per day, number of medications, root decay, coronal decay, health status, and year of education. Statistical analysis involved stepwise multivariate linear regression. RESULTS Teeth loss was statistically associated with clinical attachment level (CAL)(p value 0.0001), pocket depth (PD) (0.0007) and education level (0.0048). When smoking was included in the model, age was significantly associated with teeth loss (0.0037). At least one of these four factors was also related to teeth loss in several specific groups such as diabetes mellitus, male, and White. The multiple linear regressions for all the proposed variables showed that they contributed to teeth loss by about 23%. CONCLUSIONS It can be concluded that less education or increased clinical attachment level loss may increase number of missing teeth. Additionally, age may cause teeth loss in the presence of smoking.
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Affiliation(s)
- Zuhair S Natto
- Department of Periodontology, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA; Department of Dental Public Health, King Abdualziz University, School of Dentistry, Jeddah, Saudi Arabia.
| | - Majdi Aladmawy
- Department of Periodontology, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Mohammed Alasqah
- Department of Periodontology, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Athena Papas
- Division of Dental Public Health Research and Oral Medicine, Tufts University School of Dental Medicine, Boston, MA 02111, USA
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Abstract
The geriatric population (age 65 and older) is the fastest growing segment nationally and globally. The large population will continue to increase because of baby boomers that have recently turned 65 years old. Within this cohort, there is much diversity in health, socioeconomic levels, education, and health beliefs. There is a decline in edentulism yet still there are oral health conditions that persist with age, such as caries, tooth loss, and increased needs for prosthodontic dental treatment. Several factors should be taken into account in geriatric prosthodontic care, including quality of life and psychosocial needs.
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Affiliation(s)
- Mary Norma Partida
- Department of Comprehensive Dentistry, The University of Texas Health Science Center, San Antonio Dental School, 7703 Floyd Curl Drive, San Antonio, TX 78257, USA.
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