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Dental Amalgam

Dental Amalgam is a metal alloy used in dental fillings and restorations.
It is composed of mercury, silver, tin, and other metals, and is known for its durability and long-lasting performance.
Dental Amalgam has been used in dentistry for over a century, but its use has been the subject of ongoing debate due to concerns about the potential health effects of mercury exposure.
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Most cited protocols related to «Dental Amalgam»

Questions 1 – 5, and 7 above were addressed using saliva and dental plaque inoculums obtained from four adult subjects, all of whom were authors of this manuscript. All four were in good general health, and none had taken antibiotics within the past three months. Three subjects were in good oral health, as determined by the study dentist at the time of initial sampling. However one subject was found to have periodontal disease. We decided to retain the data from that person in the analyses described below, reasoning that his/her clinical status was not likely to bias our ability to validate our oral microcosm model.
A different and larger population of subjects was obtained for the second phase of studies to address Questions 5 – 7. That group consisted of a convenience sample of 10 pediatric patients already participating in a larger ongoing study using HOMIM to compare oral biofilms associated with the margins of amalgam and composite restorations. Each child was examined by the study pediatric dentist, who made a formal caries risk assessment (CAMBRA) (Ramos-Gomez et al., 2010 (link)), which found them to be at high risk for future caries. Two children had active carious lesions at the time of sampling for this study. All children were otherwise in good general health, and had not taken antibiotics within three months of saliva and plaque sampling. Their average age was 8.5 years.
Resting whole saliva was collected by expectoration. The study dentist collected dental plaque inoculums from either the occlusal or buccal margin of existing restorations. A sterile sickle scaler was used, and each sample was immediately deposited into a vial containing 1 ml pre-reduced anaerobic transfer medium (Anaerobe Systems, Morgan Hill, CA, USA). All procedures involving human subjects were approved by the University of Minnesota Institutional Review Board.
Publication 2012
Adult Antibiotics, Antitubercular Bacteria, Anaerobic Biofilms Cheek Child Dental Amalgam Dental Caries Dental Plaque Dentist Ethics Committees, Research Health Risk Assessment Patients Pediatric Dentist Periodontal Diseases Saliva Sterility, Reproductive
To determine MeHg and THg exposure via drinking water, inhalation, and food consumption, we calculated PDI values for the general adult population according to the following formula:
where PDI is given in micrograms per kilogram of body weight (bw) per day; bw = 60 kg; C is the concentration of exposed medium; IR is intake rate (or ingestion rate or inhalation rate), and i = intake of air, water, rice, fish, vegetable, corn, meat, and poultry.
This calculation is based on the assumption that MeHg exposure from other routes [i.e., ambient atmosphere (Gnamus et al. 2000 ; WHO 1990 ); dental amalgam fillings (Barregard et al. 1995 (link); Batista et al. 1996 (link)); other foods (i.e., food oil, salt, beverage such as milk) (Cheng et al. 2009 (link)); and dermal exposure (U.S. EPA 1997 ; WHO 2003 )] is negligible.
The intake rates for different exposure media for the adult populations used were based on the Guizhou Statistical Yearbook reported by BGS (2007) (Table 2).
To better relate the different characteristics of Hg exposure in the population in inland China who consume a a rice-based diet with those of a population who consume more fish in their diet, we used two typical regions with high fish consumption for comparison: a Japanese population of rural, coastal women (Iwasaki et al. 2003 (link)), and a reference group of the general Norwegian population (Mangerud 2005 ). We also compared the MeHg exposure in the present study with the MeHg exposure assessment of women in the U.S. general population (Carrington and Bolger 2002 (link); Mahaffey et al. 2004 (link)). These calculations were based on the assumption that each adult’s body weight was 60 kg for the Guizhou population and for U.S. women, 55 kg for Japanese women, and 70 kg for the Norwegian population.
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Publication 2010
Adult Atmosphere Beverages Body Weight Dental Amalgam Diet Fishes Food Fowls, Domestic Inhalation Japanese Meat Milk Oryza sativa Respiratory Rate Rural Population Skin Sodium Chloride, Dietary Vegetables Woman Zea mays
A convenience sample of 92 women were recruited as they came to three different public health clinics in communities located on the shore of the lake (Chapala, Tuxcueca and Jocotepec) for routine health care maintenance. Participation rate was not recorded, but fewer than five potential participants declined. All participants were fully informed about the purposes and limitations of the study and provided a written consent in Spanish. The study protocol was approved by the Research Review Board and the Ethics Committee from the Instituto Nacional de Salud Publica (National Institute of Public Health, INSP), and the Mount Sinai School of Medicine provided L.T. exemption from review for purposes of analyzing the already collected and deidentified data.
Food frequency questionnaires that have been validated in the Mexican population [29 ,30 (link)] were used to assess fish consumption and other components of diet in this population. In refining the questionnaire for the Lake Chapala population, the authors identified types of fish commonly consumed in the area (tilapia, charales, carp and catfish) as well as other fish and fish soup (sopa de pescado), and modified the questionnaire to determine the frequency with which the participants consumed each type of fish, and the place from which they obtained the fish (directly from the lake, purchase from a vendor who fishes from the lake, or elsewhere). Other parts of the questionnaire obtained demographic information as well as age, educational level, occupation, dental amalgam use, and home type.
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Publication 2010
Carps Charales Dental Amalgam Diet Ethics Committees Fishes Food Hispanic or Latino Siluriformes Tilapia Woman
panini was applied to a collection of 616 systematically sampled pneumococcal isolates from a vaccine and antimicrobial-resistance surveillance project in Massachusetts, USA [14 (link)]. The original analysis of the gene content in this collection identified 5442 ‘clusters of orthologous genes’ (COGs) [2 (link)], the core set of which was used to define 15 ‘sequence clusters’ with baps (http://www.helsinki.fi/bsg/software/BAPS) [15 (link)]. For most of the sequence clusters, the correspondence between a group in the panini output and the original sequence clusters was exact (Fig. 2a), reflecting their similarity both in terms of the core and accessory genomes [16 (link)]. These sets of isolates, therefore, represent well-defined distinct lineages. However, SC1, SC6, SC10 and SC12 all exhibited distinct substructuring in the panini output. This corresponded well with the diverse core genome observed in these clusters (Fig. 2b), and in each case, these groups were consistent with clades within the sequence clusters. These sequence clusters are, therefore, likely to represent amalgams of genotypes that should be subdivided into multiple clusters. Conversely, panini revealed clear substructuring within the previously unclustered SC16, which was also consistent with the core-genome phylogeny. Hence, panini can easily facilitate the division of a diverse population into discrete genotypes that are coherent in their accessory- and core-genome content.
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Publication 2018
Dental Amalgam Gene Clusters Genes Genome Genotype Knuckle pads, leuconychia and sensorineural deafness Microbicides Pneumococcal Vaccine
In order to establish summarized findings, we considered both age and risk of bias (methodologic quality) of the SR. Recognizing the short shelf-life of SRs, Whitlock [15 (link)] suggests that greater weight should be given to more recent SRs, with older SRs providing supporting evidence only. Since effect size was rarely reported, the outcome of interest was limited to confidence in the existence and direction of an association between a predictor and a subsequent outcome (risk of poor outcome, no association with outcome, or inconclusive). In our case, confidence in the direction of each predictor was established through first evaluating the findings from the most recent SR(s) of at least medium quality. Where multiple SRs were published on the same topic within a relatively short time span, confidence in the conclusions regarding the direction and significance of effect for each predictor was an amalgam of 1) SR quality and 2) consistency in findings across different authorship groups. For example, during the years 2007-2009, 5 SRs on prognosis following whiplash were published [3 (link), 6 (link)-9 (link)]. In light of the different methodologies for searching and synthesizing results across the included SRs, our consistency approach can be considered analogous to triangulation for establishing trustworthy results in qualitative research [18 ].
Given the phrasing of each prognostic factor, in only one case was a factor described as protective (i.e. facilitate recovery): regular physical activity in the case of non-traumatic neck pain. The confidence in each association was categorized using an approach adapted from the GRADE working group [19 (link)]: High, moderate, low or very low confidence that the direction of association is robust to findings in future research. In an attempt to be conservative, high confidence was reserved for only those predictors for which consistent high-quality evidence was presented in each SR with at least 1 high quality SR and no conflicting SRs. Moderate confidence required consistent high-level findings from at least 1 recent medium-quality SR, with the majority of findings from other concurrent SRs (where applicable) in the same direction of effect. Low confidence was assigned to a predictor when summary findings were of low-moderate level from the majority of SRs with some conflicting results, or when only a single SR reported significant but moderate findings for that predictor. Very low confidence was assigned when none of the above conditions were met. As a result of these algorithms, each predictor received both an estimate of its association with outcome (risk of poor outcome, no effect on outcome, inconclusive effect) and a level of confidence in that association (high, moderate, low, very low). Readers will note that this means it was possible to arrive at a conclusion of being highly confident in an inconclusive result, which holds meaning for establishing research priorities but less so for clinical practice.
Most SRs did not attempt to stratify the prognostic ability of a variable by outcome. This is understandable considering that there is little to no consensus on the most appropriate outcome to measure in prognostic research on neck pain [20 (link)]. Further, Walton and colleagues [6 (link)] attempted to evaluate the magnitude of prognostic effect between symptom-related outcomes and disability-related outcomes using meta-analysis, and showed that the magnitude of the effect was similar in almost all cases, with older age being the only notable exception. However, two SRs did present their summarized results stratified by type of outcome [5 (link), 16 (link)]. In most cases the magnitude of association was consistent across outcomes, but where it differed, the magnitude entered into the database was the best representation of the overall reported magnitude. For example, if a predictor showed a strong association with one outcome and a limited association with another, the strength of the association for that predictor overall was described in the database as moderate. This happened in only 7 of the 239 different summary statements extracted, which are denoted in the supplementary tables.
Publication 2013
Dental Amalgam Disabled Persons Light Neck Pain Physical Examination Prognosis Prognostic Factors Self Confidence SR-AT Whiplash Injuries

Most recents protocols related to «Dental Amalgam»

Audio recordings were transcribed using the closed caption transcription service provided by CameraTag. One of the study investigators (KC) listened to the recordings and corrected any transcription errors. The transcribed data were analysed using a narrative coding and conceptualization process. Though this study does not employ Grounded Theory (GT) proper, the analytic process is derived from the coding and conceptualization processes of GT (Charmaz, 2014 ; Glaser & Strauss, 2019 (link)). One of the investigators (J.W.), an expert in qualitative research and grounded theory, provided training and oversight of this process. We followed these steps in our data analysis, mimicking the steps taken in GT coding: Four investigators (L.Z, R.H, K.C. and E.M) independently coded transcripts line-by-line using an open-coding technique. Memos were recorded by each coder during the coding process to track potential emergent themes. Once this was completed, coders met to create a combined master list of codes by synthesizing their independent codes into amalgams that more robustly captured what was emergent in the data. While there was some variance across coders initially, it was primarily due to the degree to which some coders combined codes into fewer codes at this step. Differences were resolved through discussion and mutual consensus was obtained. Investigators then independently raised the agreed upon open-codes into axial codes by bringing similar or related codes together under aggregate constructs. The team then met to consolidate independently derived axial codes into categories using a similar process of synthesis as above to create the strongest aggregate expressions of concepts in the data. Finally, the team activated categories and/or connected multiple categories together into propositions that captured the larger emergent themes of the data.
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Publication 2023
Anabolism Concept Formation Dental Amalgam Transcription, Genetic
We used two genetically distinct African populations, the Ugandan Genome Resource (UGR = 6,407) and South Africa Zulu cohort (SZC = 2,598) [19 (link), 20 (link)]. The UGR is a genotyped dataset from the Uganda General Population Cohort (GPC). The GPC started its round 22 study in 2011, to investigate the genetics and epidemiology of communicable and non-communicable diseases in children and adults [21 (link)]. Subsequently, the SZC consists of an amalgam of both the Durban Diabetes Study and the Durban Diabetes Case Control study. DDS is a population-based cross-sectional study, established to allow researchers to gain insight into the population-based prevalence of type 2 diabetes (T2D) and its associated risk factors among African descendant resident in the city of Durban, South Africa. DCC is a study of individuals of Zulu descent, resident in KwaZulu-Natal, aged > 40 years and with a diagnosis of T2D (based on the WHO criteria).
The UGR GPC study was approved by Uganda Virus Research Institute Science and Ethics Committee and the Uganda National Council for Science and Technology (UNCST). The Biomedical Research Ethics Committee at the University of KwaZulu-Natal (reference: BF030/12) and the UK National Research Ethics Service (reference: 14/WM/1061) approved the DDS study. The DCC study was approved by the UK National Research Ethics Service (reference: 11/H0305/6) and the Biomedical Research Ethics Committee at the University of KwaZulu-Natal (reference: BF078/08). Sample and biochemical processes have been described in [19 (link), 20 (link)].
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Publication 2023
Adult Biochemical Processes Child Dental Amalgam Diabetes Mellitus Diabetes Mellitus, Non-Insulin-Dependent Diagnosis Ethics Committees Ethics Committees, Research Genome Negroid Races Noncommunicable Diseases Virus
The 19 meetings coded at the speaker level took place between 2010 and 2020 and included 9 of the 18 medical device panels (5 Circulatory System, 4 Neurological, 3 OB/GYN, 2 General and Plastic Surgery, and one each of: Dental; Ear, Nose and Throat; General Hospital; Immunology; and Orthopedic and Rehabilitation). Five of these meetings focused on women’s devices (breast implant meetings in 2011 and 2019, surgical mesh meetings in 2011 and 2019, and a 2015 meeting on the Essure sterilization device), and the remainder were non-sex-specific (such as metal-on-metal hips, dental amalgam, and cochlear implants).
For these 19 meetings, we created a speaker-level database that recorded each contributing speaker (789 total). A contributing speaker refers to any speaker listed in the meeting agenda of the transcript, excluding press contacts and FDA panel members. Each speaker was coded by type of stakeholder as follows: patients (also including spouses or family members speaking on behalf of patients); advocates (representing a formal organization or collective, like patient support groups); solo physicians (speaking individually, from their own clinical practice experience); professional organizational physicians (representing professional organizations like the American Dental Association); researchers (including material scientists and clinical researchers); industry representatives (typically CEOs and other executives of device companies but also including physicians, researchers, patients, and advocates sponsored by industry, aligned with prior research on the topic [41 (link), 42 (link)]); and FDA representatives (typically staff members not represented on the panel). All speakers were coded based on speaker titles listed in meeting agendas and speakers’ self-introductions and disclosures of conflicts of interest, and the categories of speakers were mutually exclusive. This coding was performed with confirmatory cross-checks among all researchers.
Transcripts were coded initially to analyze the speaking time and discussion time that speakers were granted to contribute during the meeting, measured in three ways, aligned with prior research examining FDA panel proceedings [8 (link)]: (1) word count captured within a speaker’s primary substantive presentation; (2) number of exchanges between a speaker and a panelist during question and answer sections of meetings (which occur when a panelist initiates further dialogue with a speaker, typically through a question or clarifying statement); and (3) word count from the speaker that resulted from any exchange initiated by a panelist. Word counts were obtained using Microsoft Word. Exchanges were recorded in a database that noted the panelist who started the exchange, the speaker addressed, the number of exchanges between the pair, and any additional word count. Speaking time was then analyzed quantitatively by type of stakeholder.
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Publication 2023
Breast Prosthesis, Internal Cardiovascular System Clinical Investigators Coxa Dental Amalgam Dental Health Services Family Member Implantations, Cochlear Medical Devices Metals Nose Patients Pharynx Physicians Plastic Surgical Procedures Rehabilitation Sterilization, Reproductive Surgical Mesh Woman
A questionnaire on OSCC knowledge was designed by the clinical staff of the Oral Medicine and Pathology Unit (School of Dentistry, University of Trieste) and by the Scientific Promulgation Office (University of Trieste). Questions were developed basing on a previously employed questionnaire on OSCC knowledge among pre-adolescents and adolescents (14 (link)) and implemented including additional questions about the need for additional awareness campaigns. When asked about possible risk factors for OSCC, individuals had the possibility to indicate one or more among ascertained (cigarette smoking, alcohol consumption, sunlight exposure) or incorrect potential risk factors (amalgam fillings, fluoride-based products), in order to evaluate the diffusion of false information. The study met the ethical norms and standards stated in the Declaration of Helsinki and was approved by the local ethics committee (86/2018).
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Publication 2023
Adolescent Awareness Dental Amalgam Diffusion Fluorides Regional Ethics Committees Sunlight
The diagnostic evaluation of all the periapical radiographs used the following standards. Direct restorations, such as composite, cement or amalgam restoration, were diagnosed independently from its location, shape and radiopacity in one category as illustrated in Figure 1a. Indirectly manufactured crowns—detectable as ceramic, porcelain fused to metal or metal crowns—were scored in an additional category (Figure 1b). Further distinctions between restorative materials or insufficiencies [12 (link),13 (link),14 (link)] were not made in this study. Root canal fillings were recorded independently from the filling material (Figure 1c). In addition, in this category, no differentiation between a sufficient (full-length, complete and homogenous definitive root canal filling) or an insufficient root canal filling (e.g., over- and underfilling, inconsistencies or voids) was made [15 (link)]. The image set further contained images with implants from several manufacturers (Figure 1d). Again, each of the abovementioned categories was chosen when at least one dental finding was detectable. This resulted in a dichotomous decision for each restorative procedure. Again, a distinction between different restorative or root canal filling materials, implant types and qualities was not performed.
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Publication 2023
Crowns Dental Amalgam Dental Cementum Dental Health Services Dental Porcelain Homozygote Metals Radio-Opaque acrylic resin Radiography Root Canal Filling Materials Urination

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More about "Dental Amalgam"

silver fillings, thermal properties, elemental composition, mercury content, calcium-silicate-based material, cell culture media, dental imaging, NMR spectrometer