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Record W3081442368 · doi:10.4103/jpbs.jpbs_47_20

Knowledge, attitude, and management of general dentist toward medication-related osteonecrosis of the jaws

2020· article· en· W3081442368 on OpenAlexaboutno aff
NasserR Alqhtani, AbdulrahmanK Almalki, FaisalA Zuhair, AdelA Alenazi, AbdullahBin Nabhan, Mana Alqahtani

Bibliographic record

VenueJournal of Pharmacy And Bioallied Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsOsteonecrosis of the jawMedicineDentistryContinuing educationFamily medicineDental educationBisphosphonateMedical educationPathologyOsteoporosis

Abstract

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INTRODUCTION Osteonecrosis of the jaw (ONJ) is due to lack of blood supply, which eventually makes exposed bone nonvital. ONJ may either result from radiation therapy to the jaw termed as osteoradionecrosis (ORN) or adverse reaction to certain drugs such as bisphosphonate (BP), sunitinb, and denosumab. A necrosis condition found in patients with intravenous or oral forms of BP therapy for various bone-related conditions is known as bisphosphonate-related osteonecrosis of the jaw (BRONJ). This manifests in maxillofacial structures as exposed and nonvital bone.[1] The American Association of Oral and Maxillofacial Surgeon (AAOMS) changed the term of BRONJ to MRONJ in 2014 to accommodate the increasing number of the drugs causing osteonecrosis of jaw including denosumab, bevacizumab, and sunitinb.[2] Bisphosphonate (BP), an antiresorptive drug, acts as osteoclast function inhibitor which is led to decrease bone remodeling.[3] BP is effective against several conditions such as hypercalcemia of malignancy, multiple myeloma, and osteoporosis[45] in addition to skeletal-related events associated with metastatic bone disease along with solid tumors such as prostate, breast, lung cancers, and renal cell carcinoma.[6] The oral form of BP is used to treat osteoporosis, osteogenesis imperfecta, osteopenia in addition to Paget’s disease.[78910] Another antiresorptive has been found known as RANK ligand inhibitor (denosumab) as class of monoclonal antibody which function to inhibit osteoclast[2] in turn reducing the resorption and improve the bone mass. Antiangiogenic medication comes in two classes: the first is monoclonal antibodies (bevacizumab), which acts by binding to the vascular endothelial growth factor (VEGF) to prevent formation of new blood vessels and subsequently prevents its association with endothelial receptors. The second is tyrosine kinase inhibitor (e.g., sunitinib), which inhibits the tyrosine kinase receptor; both medication is antiangiogenic that has been believed to facilitate the antineoplastic agents delivery. Assessment of the risks for the patients using antiresorptive drug or antiangiogenic drug depends on type and duration of treatment and underlying medical condition. The severity of MRONJ patients was classified according to the history, types of drug duration, and any adjunctive drugs. However, the definitive treatment of MRONJ has not yet been fully discovered. So in this condition, the prevention is highly recommended and essential to avoid further complication of MRONJ. As there is no study found to evaluate the knowledge attitude and management about MRONJ toward general dental practitioner (GDP) and interns in Saudi Arabia, the aim of the study was to assess the knowledge and attitude of dental practitioners of Saudi Arabia toward MRONJ. MATERIALS AND METHODS After obtaining permission from King Khalid Hospital, Al-Kharj, a questionnaire survey was conducted by interview and web-based to a random sample of dentist in Saudi Arabia, which includes information about MRONJ, opinions, and how to treat patient presenting with MRONJ. The study is designed to evaluate the knowledge, practice, and management by general dentist toward MRONJ patients. The inclusion criteria of the study were general dentists and the exclusion criteria of the study were dental specialist, students, and interns. Informed consent was taken from each subject during answering the questionnaire. People denying giving consent were excluded. This study was a cross-sectional study. It was conducted among 20–50 years old people. A close-ended questionnaire was designed with 15 questions. Questions were explained whenever necessary and the participants were given assurance regarding the confidentiality of their responses and were requested to mark their answers and complete it individually. The descriptive statistics were analyzed and all responses were expressed in form of frequencies and percentages. Comparisons were done by using chi-square test and Pearson correlation test using Statistical Package for the Social Sciences (SPSS, IBM SPSS Statistics for Windows, version 23 (IBM Corp., Armonk, N.Y., USA)) for Windows. RESULTS Table 1 shows knowledge score of participants. On the basis of knowledge scores, participants were categorized into poor (<50% of score), fair (50%–75%), and good (>75%). Majority of practitioners (60%) were found to have poor knowledge levels regarding MORNJ. Mean knowledge was found to be 6.09 ± 2.1.Table 1: Knowledge score of patientsTable 2 shows association between gender and knowledge level, which was statistically significant (Χ, df = 8.9,2; P = 0.012). Men had much poor knowledge than women.Table 2: Comparison of knowledge with genderTable 3 shows that there was not any statistically significant association between age groups and knowledge level (Χ, df = 12.482,6; P = 0.052).Table 3: Comparison of knowledge and ageTable 4 shows statistically significant association between workplace and knowledge level (Χ, df = 15.682,6; P = 0.0001). Government workplace participants had higher knowledge levels than private.Table 4: Comparison of knowledge and workplaceTable 5 shows a two-tailed Pearson correlation test, which revealed that there is very weak positive relation between knowledge scores and experience in years which was found to be statistically nonsignificant (r = 0.074, P = 0.293).Table 5: Comparison of knowledge with experience in yearsDISCUSSION In Jana Mexican study, 99.7% of dentists and specialists showed lack of sufficient knowledge to diagnose and manage BRONJ.[11] This was much higher compared to this study. A study conducted in Ontario showed that 60% of participants have good knowledge toward BRONJ. Although 50% of the participant was not comfortable to treat patient taking BP, 63% would refer the any patient taking BP.[12] This was similar to this study. A study conducted on students in Italy showed 99% of participants declared to know BPs and sixth-term students had better knowledge compared to fourth-term students.[13] On the contrary, in this study, there is a weak correlation between knowledge and number of years of experience. A study conducted in Spain showed that knowledge of side effects of antiresorptive drugs decreases with increasing years of professional practice.[14] Other study showed that oral maxillofacial surgeons have more knowledge compared to general dentists.[15] All these differences may be due to variation in the way of teaching and the level of knowledge obtained in different countries. Some studies have also insisted on effective professional patient education and prevention of developing MRONJ.[16] We would like to acknowledge Hend Ali Alghamdi, Dental Intern, College of Dentistry, Princess Nourah Bint Abdulrahman University, Riyadh, Kingdom of Saudi Arabia. CONCLUSION A better knowledge in future may lead to minimize incidence of MRONJ, as well as a better clinical and legal solution for ONJ cases. Properly trained dental professionals reduce the possibility of legal cost and damages. As it also affects quality of life, appropriate preventative education is required and a periodic reinforcement of the same is necessary to enhance the clinical and competency education of the individual. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.382
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations8
Published2020
Admission routes1
Has abstractyes

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