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Nevin Manimala Statistics

The Effects of Injectable Platelet-Rich Fibrin on Implant Stability

Int J Oral Maxillofac Implants. 2022 Nov-Dec;37(6):1145-1150. doi: 10.11607/jomi.9629.

ABSTRACT

PURPOSE: To investigate the effects of injectable platelet-rich fibrin (i-PRF) on implant stability.

MATERIALS AND METHODS: A total of 40 implants (BEGO Semados RS/RSX implants, BEGO Implant System) were surgically placed in 15 patients between the ages of 25 and 67 years who had mandibular edentulous areas. After the implant sockets were prepared with the appropriate protocol, i-PRF was applied to the implant surface and socket with the help of a 5-cc sterile syringe in the study group, and implants were placed without i-PRF in the control group. In the research process, the resonance frequency analysis (RFA) method was used to measure implant stability. The implant stability quotient (ISQ) values were determined during the time of the operation and at the first, second, and fourth weeks.

RESULTS: The results obtained after the stability measurement periods showed that the decrease in the mean ISQ values in the control group was statistically significant in the first week. Evaluations made in the following weeks were not statistically significant. The study group showed an increase in ISQ values during the measurement periods, and the increases in the second and fourth weeks were statistically significant.

CONCLUSION: I-PRF had positive effects on early implant stability, and i-PRF can be safely used in dental implant surgery and promotes bone healing around dental implants.

PMID:36450019 | DOI:10.11607/jomi.9629

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Nevin Manimala Statistics

Bayesian Statistics: A Walkthrough with a Simulated Dental Dataset

Int J Oral Maxillofac Implants. 2022 Nov-Dec;37(6):1095-1099. doi: 10.11607/jomi.10210.

ABSTRACT

When a clinician sees a patient with a complication, they often go through a Bayesian style of logic, most likely without even knowing it. They assess whether they have seen the complication before, provide an intervention based on historical knowledge of what leads to improvement, and then later assess how the intervention is performed. This process, which is routine in clinical practice, can be mathematically extended into an alternative way of performing statistical analyses to assess clinical research. However, this process is contrary to the most common statistical methods used in dental research: frequentist statistics. Though powerful, frequentist methods come with advantages and disadvantages. Bayesian statistics are an alternative method, one that mirrors how we as researchers think and process new information. In this primer, a walkthrough of Bayesian statistics is performed by constructing priors, defining the likelihood, and using the posterior result to draw conclusions on parameters of interest. The motivating example for this walkthrough was a Bayesian analog to logistic regression, fit using a simulated dental-related dataset of 50 patients who received a dental implant-classified as either within or outside normal limits-from practitioners who did or did not receive a training course in implant placement. The results of the Bayesian and traditional frequentist logistic regression models were compared, resulting in very similar conclusions regarding which parameters seemed to be strongly associated with the outcome.

PMID:36450014 | DOI:10.11607/jomi.10210

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Nevin Manimala Statistics

Effects of the COVID-19 pandemic on nurses’ psychological well being in an emergency room

Rev Bras Enferm. 2022 Nov 28;76Suppl 1(Suppl 1):e20220171. doi: 10.1590/0034-7167-2022-0171. eCollection 2022.

ABSTRACT

OBJECTIVES: to assess the level of anxiety of nurses in an emergency room in view of the new Coronavirus and describe the relationship between the degrees of anxiety and their sociodemographic variables.

METHODS: quantitative descriptive-correlational study with a sample of 60 nurses. A questionnaire was used as a data collection instrument based on the Hamilton Anxiety Assessment Scale.

RESULTS: the nurses’ average anxiety is mild. A statistically significant relationship was found between anxiety and the variables “sex” and “children”, with women having higher levels of anxiety than men, and nurses who do not have children showing mild, moderate, or severe anxiety.

CONCLUSIONS: COVID-19 triggers anxiety in nurses, sometimes at pathological levels. Being female and not having children increase the anxiety experienced. Sex can be considered the determining factor for the level of anxiety experienced.

PMID:36449963 | DOI:10.1590/0034-7167-2022-0171

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Nevin Manimala Statistics

Assessment of cone beam computed tomography for determining position and prognosis of interradicular mini-implants

Dental Press J Orthod. 2022 Nov 28;27(5):e222190. doi: 10.1590/2177-6709.27.5.e222190.oar. eCollection 2022.

ABSTRACT

OBJECTIVE: To investigate the influence of dynamic visualization of cone beam computed tomography (CBCT) scans on orthodontist’s assessment of positioning status and prognosis of interradicular mini-implants (MI).

METHODS: Three MI positions were virtually simulated in thirty CBCT volumes: (1) MI 1 mm from the lamina dura (LD), (2) MI touching the LD and (3) MI overlapping the LD. Each position was exposed to orthodontists (n = 35) as panoramic reconstruction, sagittal reconstruction and a sequence of axial slices. Each orthodontist evaluated the MI position (relationship with the LD) and scored the prognosis using a four-point scale (the higher the score, the better the prognosis). Kappa, Friedman and Nemenyi statistics were used.

RESULTS: Statistically significant associations were detected between the prognosis scores and the type of image visualized (p<0.05). The dynamic visualization of the CBCT volume (axial slices) was associated with higher scores for prognosis and more reliable evaluation of MI positioning. Inconsistent outcomes were more frequently associated with panoramic and sagittal reconstructions.

CONCLUSION: The dynamic visualization of axial slices allowed orthodontists to perform better assessment of MI position and considerably affected prognosis judgment.

PMID:36449961 | DOI:10.1590/2177-6709.27.5.e222190.oar

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Nevin Manimala Statistics

Learning: New Strategy for Humanized Digital Medical Education and Training in Cardiology

Arq Bras Cardiol. 2022 Oct;119(5 suppl 1):35-42. doi: 10.36660/abc.20220423.

ABSTRACT

BACKGROUND: The consolidation of new educational paradigms requires the implementation of innovative strategies to transform students into competent professionals.

OBJECTIVES: To assess knowledge and satisfaction of medical students before and after the use of a new humanized digital model of active learning, called virtual case-based learning (VCBL).

METHODS: This was a descriptive, documentary analysis of the teaching-learning process of medical students. Data obtained from theoretical knowledge assessment and satisfaction evaluation questionnaires applied in 2018 and 2019 were analyzed, and the new VCBL was compared with the traditional active methodology PBL (problem-based learning). Descriptive and association analyses were made using the Statistical Package for the Social Sciences.

RESULTS: A total of 167 evaluation forms administered to medical students were analyzed. In the evaluation of theoretical knowledge, the 2018 and the 2019 student groups had a mean of 41.7% and 73.3%, respectively (p<0.001). Among the students who responded to the satisfaction evaluation form, 76.0% gave the highest rating to question one, and 83.0% to question two. Nearly 70.0% of students positively evaluated knowledge acquisition with the Paciente 360 platform; 78.0% reported to feel prepared for working in outpatient care; and 94.0% positively evaluated the new method.

CONCLUSION: In this initial study, the results indicate that the new active method for humanized digital medical education, the VCBL, can help in the betterment of the teaching-learning process, promoting knowledge and satisfaction by the students.

PMID:36449957 | DOI:10.36660/abc.20220423

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Nevin Manimala Statistics

Effectiveness of an Active Methodology for Learning ECG during the Internal Medicine Internship

Arq Bras Cardiol. 2022 Oct;119(5 suppl 1):22-26. doi: 10.36660/abc.20220446.

ABSTRACT

BACKGROUND: Studies have shown a low accuracy of urgent care physicians in interpreting electrocardiogram (ECG) in severe cardiovascular conditions.

OBJECTIVE: To evaluate the effectiveness of an ECG learning method in internal medicine internships and to know the perception of interns regarding learning before and after the methodology.

METHODS: This study used a database with the results of an ECG pre- and post-test of the classes in the internal medicine internship from 2017 to 2022. A qualitative questionnaire was sent with questions for self-assessment of perception of learning.

RESULTS: The study included a total of 227 students, 161 of whom (70.9%) were female. The mean age was 26.4 ± 4.2 years old. The pre-test mean was 3.75 ± 2.0 points, and the post-test mean was 8.48 ± 1.5 points, showing a statistically significant difference, even after stratification by sex, age, and course period (p < 0.001 for all comparisons). Sixty-nine (30%) of the students responded to the qualitative questionnaire. The three predominant feelings prior to learning were despair, fear, and insecurity. After the Club, the predominant feelings were security, tranquility, and confidence.

CONCLUSION: The level of prior knowledge regarding ECG was low among students in the medical internship, and the proposed methodology was effective for learning ECG, regardless of age, sex, or course period. It was possible to transform negative beliefs regarding ECG learning and make learning meaningful and enjoyable. A more incisive look at medical courses for learning the ECG in a more practical and contextualized way can improve this scenario.

PMID:36449955 | DOI:10.36660/abc.20220446

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Nevin Manimala Statistics

Teaching of Clinical Reasoning Guided by Illness Script Theory

Arq Bras Cardiol. 2022 Oct;119(5 suppl 1):14-21. doi: 10.36660/abc.20220419.

ABSTRACT

BACKGROUND: Teaching of clinical reasoning (CR) can be facilitated by educational strategies guided by illness script theory.

OBJECTIVE: To evaluate the effects of an educational strategy guided by illness script theory on the diagnostic accuracy of chest pain in medical students.

METHODS: Experimental study in 3 phases, with 18 third-year medical students completing phase 3. Phases 1 and 2 had 27 students. In phase 1, each participant solved 8 clinical cases (6 of chest pain and 2 distractors). In phase 2, participants were divided into 2 groups, which distinctly trained 3 of the chest pain diagnoses from phase 1. In phase 3, after 1 week, each participant solved 8 new cases, with the same diagnoses as phase 1. Case resolution time and diagnostic accuracy were evaluated. The significance level adopted for statistical analysis was p < 0.05.

RESULTS: In phase 3, both groups showed improved diagnostic accuracy and reduced case resolution time for the trained diagnoses, with no transfer of learning. For these diagnoses, the diagnostic accuracy scores in phases 1 and 3 were: group 1 = 1.00, IQR [0.00 to 1.00] versus 2.00, IQR [2.00 to 2.50], p = 0.017 and group 2 = 1.00, IQR [0.66 to 1.17] versus 3.00, IQR [1.33 to 3.00], p = 0.006. Case resolution times in seconds were: group 1: 485, IQR [450 to 583] versus 318, IQR [284 to 418], p = 0.027 and group 2: 655, IQR [543 to 740] versus 408, IQR [337 to 569], p = 0.010.

CONCLUSION: The proposed strategy seems to contribute to improved diagnostic accuracy, and it may be considered for teaching CR.

PMID:36449954 | DOI:10.36660/abc.20220419

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Nevin Manimala Statistics

Preoperative risk factors associated with anastomotic leakage after colectomy for colorectal cancer: a systematic review and meta-analysis

Rev Col Bras Cir. 2022 Nov 28;49:e20223363. doi: 10.1590/0100-6991e-20223363-en. eCollection 2022.

ABSTRACT

INTRODUCTION: anastomotic leak (AL) after colectomy for colorectal cancer (CRC) is a life-threatening complication. This systematic review and meta-analysis aimed to evaluate the preoperative risk factors for AL in patients submitted to colectomy.

METHODS: the bibliographic search covered 15 years and 9 months, from 1st January 2005 to 19th October 2020 and was performed using PubMed, Cochrane Library, Scopus, Biblioteca Virtual em Saúde, Europe PMC and Web of Science databases. The inclusion criteria were cross-sectional, cohort and case-control studies on preoperative risk factors for AL (outcome). The Newcastle-Ottawa scale was used for bias assessment within studies. Meta-analysis involved the calculation of treatment effects for each individual study including odds ratio (OR), relative risk (RR) and 95% confidence intervals (95% CI) with construction of a random-effects model to evaluate the impact of each variable on the outcome. Statistical significance was set at p<0.05.

RESULTS: cross-sectional studies were represented by 39 articles, cohort studies by 21 articles and case-control by 4 articles. Meta-analysis identified 14 main risk factors for AL in CRC patients after colectomy, namely male sex (RR=1.56; 95% CI=1.40-1.75), smoking (RR=1.48; 95% CI=1.30-1.69), alcohol consumption (RR=1.35; 95% CI=1.21-1.52), diabetes mellitus (RR=1.97; 95% CI=1.44-2.70), lung diseases (RR=2.14; 95% CI=1.21-3.78), chronic obstructive pulmonary disease (RR=1.10; 95% IC=1.04-1.16), coronary artery disease (RR=1.61; 95% CI=1.07-2.41), chronic kidney disease (RR=1.34; 95% CI=1.22-1.47), high ASA grades (RR=1.70; 95% CI=1.37-2.09), previous abdominal surgery (RR=1.30; 95% CI=1.04-1.64), CRC-related emergency surgery (RR=1.61; 95% CI=1.26-2.07), neoadjuvant chemotherapy (RR=2.16; 95% CI=1.17-4.02), radiotherapy (RR=2.36; 95% CI=1.33-4.19) and chemoradiotherapy (RR=1.58; 95% CI=1.06-2.35).

CONCLUSIONS: important preoperative risk factors for colorectal AL in CRC patients have been identified based on best evidence-based research, and such knowledge should influence decisions regarding treatment.

PMID:36449942 | DOI:10.1590/0100-6991e-20223363-en

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Nevin Manimala Statistics

The role of autopsy on the diagnosis of missed injuries and on the trauma quality program goal definitions: study of 192 cases

Rev Col Bras Cir. 2022 Nov 28;49:e20223319. doi: 10.1590/0100-6991e-20223319_en. eCollection 2022.

ABSTRACT

OBJECTIVE: to assess the role of autopsy in the diagnosis of missed injuries (MI) and definition of trauma quality program goals.

METHOD: Retrospective analysis of autopsy reports and patient’s charts. Injuries present in the autopsy, but not in the chart, were defined as “missed”. MI were characterized using Goldman’s criteria: Class I, if the diagnosis would have modified the management and outcome; Class II, if it would have modified the management, but not the outcome; Class III, if it would not have modified neither the management nor the outcome. We used Mann-Whitney’s U and Pearson’s chi square for statistical analysis, considering p<0.05 as significant.

RESULTS: We included 192 patients, with mean age of 56.8 years. Blunt trauma accounted for 181 cases, and 28.6% were due to falls from the same level. MI were diagnosed in 39 patients (20.3%). Using Goldman’s criteria, MI were categorized as Class I in 3 (1.6%) and Class II in 11 (5.6%). MI were more often diagnosed in the thoracic segment (25 patients, 64.1% of the MI). The variables significantly associated (p<0.05) to MI were: time of hospitalization < 48 h, severe trauma mechanism, and not undergoing surgery or computed tomography. At autopsy, the values of ISS and NISS were higher in patients with MI.

CONCLUSION: the review of the autopsy report allowed diagnosis of MIs, which did not influence outcome in their majority. Many opportunities of improvement in quality of care were identified.

PMID:36449941 | DOI:10.1590/0100-6991e-20223319_en

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Nevin Manimala Statistics

Web-Based Health Information-Seeking Methods and Time Since Provider Engagement: Cross-sectional Study

JMIR Form Res. 2022 Nov 30;6(11):e42126. doi: 10.2196/42126.

ABSTRACT

BACKGROUND: The use of web-based methods to seek health information is increasing in popularity. As web-based health information (WHI)-seeking affects health-related decision support and chronic symptom self-management, WHI-seeking from online sources may impact health care decisions and outcomes, including care-seeking decisions. Patients who are routinely connected to physicians are more likely to receive better and more consistent care. Little is known about whether WHI-seeking impacts the frequency at which patients engage with health care providers.

OBJECTIVE: Our primary objective was to describe the associations between the use of web-based methods to seek information about one’s own health and the time since last engaging with a health care provider about one’s own health. Additionally, we aimed to assess participants’ trust in health care organizations to contextualize our findings.

METHODS: We analyzed data from US adults participating in the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Survey (N=1034). Bivariate associations between demographic characteristics and health information-seeking methods were assessed with Pearson chi-squared tests. Bivariate associations of Medical Mistrust Index (MMI) scores with each health information-seeking method and time since provider engagement were assessed with F tests and adjusted Wald tests. We fit a multivariable logistic regression model to assess the association between WHI-seeking within the 12 months prior to survey (alone or in combination with provider-based methods versus provider only) and engagement with a provider more than 1 year prior to the time of survey, adjusting for age, race and ethnicity, sex, education, insurance coverage, and MMI.

RESULTS: Age, race and ethnicity, educational attainment, health insurance source, MMI, and time since provider engagement were each significantly associated with the health information-seeking method in bivariate analyses. Compared to using only provider-based health information seeking methods, WHI-based methods alone or in combination with provider-based methods were associated with a 51% lower likelihood (odds ratio 0.49, 95% CI 0.27-0.87) of engaging with a provider within the previous year. Participants who used WHI-seeking methods alone and those who had not engaged with a health care provider within the previous year demonstrated a higher mean MMI score; however, MMI was not a significant predictor of time since engagement with a provider in the multivariable analysis.

CONCLUSIONS: Our findings from a nationally representative survey suggest that for those who use WHI-seeking methods (alone or in combination with provider-based information-seeking methods), there is a statistically significant lower likelihood of engaging with a provider in a year compared to those who only use provider-based methods. Future research should consider the intent of a person’s visit with a provider, trust in health care systems, methods of provider engagement, and specific web-based platforms for health information.

PMID:36449328 | DOI:10.2196/42126