OBJECTIVE: Temporomandibular disorder (TMD) is the term used to describe a pathology (dysfunction and pain) in the masticatory muscles and temporomandibular joint (TMJ). There is an apparent upward trend in the publication of dental research and a need to continually improve the quality of research. Therefore, this study was conducted to analyse the use of sample size and effect size calculations in a TMD randomised controlled trial.
METHODS: The period was restricted to the full 5 years, i.e., papers published in 2019, 2020, 2021, 2022, and 2023. The filter article type-\"Randomized Controlled Trial\" was used. The studies were graded on a two-level scale: 0-1. In the case of 1, sample size (SS) and effect size (ES) were calculated.
RESULTS: In the entire study sample, SS was used in 58% of studies, while ES was used in 15% of studies.
CONCLUSIONS: Quality should improve as research increases. One factor that influences quality is the level of statistics. SS and ES calculations provide a basis for understanding the results obtained by the authors. Access to formulas, online calculators and software facilitates these analyses. High-quality trials provide a solid foundation for medical progress, fostering the development of personalized therapies that provide more precise and effective treatment and increase patients\' chances of recovery. Improving the quality of TMD research, and medical research in general, helps to increase public confidence in medical advances and raises the standard of patient care.

Background Contemporary medical education emphasizes that postgraduate clinicians should look at their daily experiences as an opportunity to learn and advance their knowledge and practice of medicine. This is the concept of reflective practice. Internal medicine trainees (IMT) in the UK are encouraged to record written reflections in their electronic portfolios but it is not a mandatory requirement. There is literature suggesting that the level of engagement with these written reflections is varied and that when these are produced, they can be superficial. Thus, the aim of this research was to ascertain what percentage of trainees engaged in written reflections and the factors that affected the likelihood they would reflect. There are no studies that have attempted to quantify de novo engagement with reflective practice and to quantify the significance of different theorized barriers to reflection. Methods This study was in the form of a quasi-experimental cross-sectional study. A 15-item survey was sent out to the IMT in the northwest deanery of England (n=592). The survey remained open for approximately three months with periodic reminders sent out to the trainees. The survey was closed to further responses when the number of responses reached the predetermined sample size of 240 (5% margin of error at a confidence interval of 95%). The data were analyzed by chi-square testing and represented using descriptive statistics. Results There were 243 responses to this survey. A total of 81.5% (n=198) wrote reflections in their portfolio and 19.5% (n=45) did not write any reflections. The main content of written reflections were clinical outcomes (positive and negative), teaching, and new learning. Several background factors had a statistically significant influence on the likelihood that trainees would write reflections in their portfolios. These included their stage of training, years practicing medicine, location of primary medical training, first exposure to reflective practice, and whether they have ever been tutored on reflection. Concerns about legal or General Medical Council (GMC) use of reflective notes against trainees also significantly impacted on reflection. The main perceived barriers to written reflections were the fact that trainees felt they had no time to properly reflect and the lack of perceived benefits from reflections. Conclusion Most trainees wrote reflections in their portfolios, but the majority did not perceive any benefits in doing this. The varied backgrounds of trainees seem to have an impact on their likelihood to reflect and strategies to increase engagement would need to address this.

UNASSIGNED: Preterm birth is the leading cause of neonatal morbidity and mortality worldwide. Most cases of preterm birth occur spontaneously and result from preterm labor with intact (spontaneous preterm labor [sPTL]) or ruptured (preterm prelabor rupture of membranes [PPROM]) membranes. The prediction of spontaneous preterm birth (sPTB) remains underpowered due to its syndromic nature and the dearth of independent analyses of the vaginal host immune response. Thus, we conducted the largest longitudinal investigation targeting vaginal immune mediators, referred to herein as the immunoproteome, in a population at high risk for sPTB.
UNASSIGNED: Vaginal swabs were collected across gestation from pregnant women who ultimately underwent term birth, sPTL, or PPROM. Cytokines, chemokines, growth factors, and antimicrobial peptides in the samples were quantified via specific and sensitive immunoassays. Predictive models were constructed from immune mediator concentrations.
UNASSIGNED: Throughout uncomplicated gestation, the vaginal immunoproteome harbors a cytokine network with a homeostatic profile. Yet, the vaginal immunoproteome is skewed toward a pro-inflammatory state in pregnant women who ultimately experience sPTL and PPROM. Such an inflammatory profile includes increased monocyte chemoattractants, cytokines indicative of macrophage and T-cell activation, and reduced antimicrobial proteins/peptides. The vaginal immunoproteome has improved predictive value over maternal characteristics alone for identifying women at risk for early (<34 weeks) sPTB.
UNASSIGNED: The vaginal immunoproteome undergoes homeostatic changes throughout gestation and deviations from this shift are associated with sPTB. Furthermore, the vaginal immunoproteome can be leveraged as a potential biomarker for early sPTB, a subset of sPTB associated with extremely adverse neonatal outcomes.
UNASSIGNED: This research was conducted by the Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS) under contract HHSN275201300006C. ALT, KRT, and NGL were supported by the Wayne State University Perinatal Initiative in Maternal, Perinatal and Child Health.
Human pregnancies last 40 weeks on average. Preterm births, defined as live births before 37 weeks, occur in about one in ten pregnancies. Being born too early is the main cause of a number of diseases and death in newborn babies. Preterm births are further divided into those that happen early – before 34 weeks – and those that happen late – between 34 and 37 weeks. There are also differences between preterm births in which the amniotic sac ruptures before or after the start of labor. Although several factors can lead to spontaneous preterm birth, bacteria getting into the amniotic fluid around the fetus are a well-known trigger. These bacteria usually come from the vagina. In the past, researchers have studied the number and types of bacteria in the vagina of people who had a normal pregnancy and those that had a preterm birth to predict who is more at risk of preterm birth. However, predictions based only on data about bacteria have been less useful so far. Instead, it might be better to investigate a person’s immune response during pregnancy. Shaffer et al. addressed this gap by asking whether measuring the levels of proteins involved in the immune response could help predict preterm births. Shaffer et al. collected vaginal fluids from 739 individuals of predominately African American ethnicity with an average BMI of 28.7 – representing a population at high risk for spontaneous preterm birth. The swabs were taken at multiple points during their pregnancy, and 31 different immune-related proteins in those fluids were measured. The researchers further noted whether these individuals had a normal or a preterm birth. The data showed that, compared to normal births, preterm births are associated with higher levels of proteins that attract white blood cells and promote inflammation, such as IL-6 and IL-1β. Vaginal fluids from individuals who went on to have an early preterm birth where the amniotic sac ruptured before labor, contained lower levels of proteins known as defensins, which defend the body from bacteria. With these new data from vaginal swabs, Shaffer et al. could make better predictions about the likelihood of preterm birth in general and early preterm birth with the amniotic sac ruptured before labor. For the latter scenario, the predictions were not improved when combining immune protein data with other characteristics of the pregnant person, such as age. These findings suggest that clinicians may be able to use measurements of immune-related proteins to help predict preterm births, so that pregnant individuals at high risk can receive extra care. Further research will have to validate the data and determine whether the findings apply more widely.

BACKGROUND: Diabetic foot ulcer is a major medical, social, and economic problem, and a leading cause of hospitalisations, increased morbidity, and mortality. Despite a rising occurrence, there is a dearth of data on the incidence and its predictors.
OBJECTIVE: To assess the incidence and predictors of diabetic foot ulcers among patients with diabetes mellitus in a diabetic follow-up clinic in Central Ethiopia.
METHODS: Retrospective follow-up study design.
METHODS: A total of 418 newly diagnosed diabetes mellitus patients from 1 January 2012 to 31 December 2022. A computer-generated simple random sampling method was used to select the study participants. Data were collected using a structured data extraction checklist. The collected data were entered into Epi Info V.7.2 and exported to STATA V.14 for analysis. To estimate survival time, the Kaplan-Meier method was used, and the survival difference was tested using a log-rank test.
METHODS: The Cox proportional hazard model was fitted to identify the predictors of diabetic foot ulcer development. The strength of the association was estimated using an adjusted hazard ratio (AHR) with a 95% confidence interval (CI), and statistical significance was proclaimed at a p<0.05.
RESULTS: The overall incidence of diabetic foot ulcer was 1.51 cases (95% CI 1.03 to 2.22) per 100 person-years of observation. The cumulative incidence was 6.2% (95% CI 4.1% to 8.6%) over 10 years. The median time of follow-up was 45 months (IQR 21-73). Diastolic blood pressure of 90 mm Hg or above (AHR 2.91, 95% CI 1.25 to 6.77), taking combined medication (AHR 3.24, 95% CI 1.14 to 9.19) and having a peripheral arterial disease (AHR 5.26, 95% CI 1.61 to 17.18) were statistically significant predictors of diabetic foot ulcer development.
CONCLUSIONS: The risk of occurrence of diabetic foot ulcer was relatively high. Diastolic blood pressure level, combined medication and peripheral arterial disease were independent predictors of diabetic foot ulcer development. Hence, close monitoring and proper interventions are essential.

BACKGROUND: Perioperative anaphylaxis (POA) can lead to significant complications. Therefore, accurate identification of allergens for POA patients is critical to ensure the safety of future surgical and anaesthetic procedures. Existing perioperative allergen detection methods face challenges in sensitivity and specificity. The passive mast cell activation test (pMAT) has recently emerged as a potential diagnostic tool. Our study aims to evaluate the diagnostic efficacy of pMAT for identifying perioperative allergens, with a focus on non-depolarising neuromuscular blocking agents, the most common culprits of POA.
METHODS: This prospective diagnostic accuracy study will measure the diagnostic accuracy of pMAT in POA patients. Participants will undergo skin testing (ST), basophil activation testing (BAT) and pMAT. The diagnostic validity of pMAT will be assessed based on the results of ST and BAT. The assessment of diagnostic accuracy will include sensitivity, specificity, likelihood ratios, and false-positive and false-negative rates while measurement of the consistency rate will assess reliability.
BACKGROUND: This study has been approved by the Institutional Review Board of China-Japan Friendship Hospital (2023-KY-247). Results will be disseminated through academic presentations and peer-reviewed journal publications and will provide valuable scientific data and some new insights into the diagnostic accuracy of pMAT.

UNASSIGNED: Complementary and alternative medicine (CAM) has emerged to combat the global COVID-19 pandemic. However, no studies have been conducted to evaluate the attitudes, knowledge, and barriers of Chinese clinical and nursing students in implementing CAM during this period.
UNASSIGNED: The aim of this study was to investigate the attitude, knowledge, and barriers of Chinese clinical and nursing students in using CAM in the context of COVID-19.
UNASSIGNED: An online-based cross-sectional survey was carried out among Chinese medical students, majoring in clinical medicine or nursing, in Nanjing, Jiangsu Province, and Zhengzhou, Henan Province from May to July 2022. A total of 402 clinical and 644 nursing students responded to a self-administered questionnaire through the Questionnaire Star and WeChat APPs. SPSS 25 (version 25) was used for data analysis. Proportions were compared by Chi-square test. Level of significance between groups was analyzed using independent student t-test and Mann-Whitney U test.
UNASSIGNED: The average score of attitude was 46.63 (SD: 7.38) in clinical students and 49.84 (SD: 6.76) in nursing students. The top four most commonly used CAM treatments in China were proprietary Chinese medicine, diet therapy, decoction, and acupuncture and moxibustion (59.66 %, 22.28 %, 11.66 %, 9.85 %). The students had a good mastery of knowledge about CAM-based prevention and control of COVID-19 (mean score 7.36). The score of CAM knowledge in nursing students was significantly higher than that in clinical students (7.56 VS 7.04, P = 0.000). Gender, grade, previous use, age, and knowledge score could affect students\' attitude towards CAM. The main barriers in spreading CAM use included time-consumption, bad taste, and fear of treatment-related pain (24.5 %). Compared with clinical students, nursing students were more likely to recommend CAM to patients in the future (P = 0.002).
UNASSIGNED: During the COVID-19 pandemic, nursing students were more positive towards CAM use, had a better mastery of CAM knowledge than clinical students. CAM is expected to provide better outcomes in COVID-19 patients. Future studies should focus on the changes in students\' attitudes over time and exploration of influencing factors on CAM use.

UNASSIGNED: The advance of digital health technologies has created new forms of potential pathology which are not captured in current clinical guidelines. Through simulation-based research, we have identified the challenges to clinical care that emerge when patients suffer from illnesses stemming from failures in digital health technologies.
UNASSIGNED: Clinical simulation sessions were designed based on patient case reports relating to (a) medical device hardware errors, (b) medical device software errors, (c) complications of consumer technology and (d) technology-facilitated abuse. Clinicians were recruited to participate in simulations at three UK hospitals; audiovisual suites were used to facilitate group observation of simulation experience and focused debrief discussions. Invigilators scored clinicians on performance, clinicians provided individual qualitative and quantitative feedback, and extensive notes were taken throughout.
UNASSIGNED: Paired t-tests of pre and post-simulation feedback demonstrated significant improvements in clinician\'s diagnostic awareness, technical knowledge and confidence in clinical management following simulation exposure (p < 0.01). Barriers to care included: (a) low suspicion of digital agents, (b) attribution to psychopathology, (c) lack of education in technical mechanisms and (d) little utility of available tests. Suggested interventions for improving future practice included: (a) education initiatives, (b) technical support platforms, (c) digitally oriented assessments in hospital workflows, (d) cross-disciplinary staff and (e) protocols for digital cases.
UNASSIGNED: We provide an effective framework for simulation training focused on digital health pathologies and uncover barriers that impede effective care for patients dependent on technology. Our recommendations are relevant to educators, practising clinicians and professionals working in regulation, policy and industry.

The bitter taste of medicines hinders patient compliance, but not everyone experiences these difficulties because people worldwide differ in their bitterness perception. To better understand how people from diverse ancestries perceive medicines and taste modifiers, 338 adults, European and recent US and Canada immigrants from Asia, South Asia, and Africa, rated the bitterness intensity of taste solutions on a 100-point generalized visual analog scale and provided a saliva sample for genotyping. The taste solutions were five medicines, tenofovir alafenamide (TAF), moxifloxacin, praziquantel, amodiaquine, and propylthiouracil (PROP), and four other solutions, TAF mixed with sucralose (sweet, reduces bitterness) or 6-methylflavone (tasteless, reduces bitterness), sucralose alone, and sodium chloride alone. Bitterness ratings differed by ancestry for two of the five drugs (amodiaquine and PROP) and for TAF mixed with sucralose. Genetic analysis showed that people with variants in one bitter receptor variant gene (TAS2R38) reported PROP was more bitter than did those with a different variant (p= 7.6e-19) and that people with either an RIMS2 or a THSD4 genotype found sucralose more bitter than did others (p=2.6e-8, p=7.9e-11, resp.). Our findings may help guide the formulation of bad-tasting medicines to meet the needs of those most sensitive to them.

UNASSIGNED: Mentoring is a unique educational workplace relationship that can support both the mentee and mentor\'s skill, knowledge, social, and emotional needs. The primary aim of this longitudinal pilot study was to implement a formal mentoring program to assess its effect on mentee and mentor satisfaction.
UNASSIGNED: Data was collected from two hospitals in New South Wales, Australia in late 2018 and early 2019. Junior doctors (mentees) and senior medical staff (mentors) were asked to complete pre-, mid-, and oost-program surveys, with questions relevant to mentee-mentor satisfaction, interactions, and participation. Mixed-effects ordinal logistic regression models were used to assess the program effect on mentee-mentor satisfaction, while Fishers\' exact test was used to evaluate mentee-mentor interactions and participation.
UNASSIGNED: Although there was evidence of upwards trends in the proportion of mentees and mentors who reported their satisfaction in the program as excellent and rated their work satisfaction as being very influenced by the program, both trends were statistically non-significant. While our study was likely underpowered, high participation rates provide promising evidence of the program\'s acceptability and feasibility.
UNASSIGNED: Though not reaching statistical significance, study results suggest that the implementation of a mentoring program has the potential to increase satisfaction levels among its participants, be they mentees or mentors. It is recommended that future studies recruit larger samples thereby having sufficient statistical power. Furthermore, causality should be explored in more detail through a multi-site randomized controlled trial design.

Multimorbidity, i.e., two or more non-communicable diseases (NCDs), is an escalating challenge for society. Venous thromboembolism (VTE) is a common cardiovascular disease and it is unknown which multimorbidity clusters associates with VTE. Our aim was to examine the association between different common disease clusters of multimorbidity and VTE. The study is an extended (1997-2015) cross-sectional Swedish study using the National Patient Register and the Multigeneration Register. A total of 2,694,442 Swedish-born individuals were included in the study. Multimorbidity was defined by 45 NCDs. A principal component analysis (PCA) identified multimorbidity disease clusters. Odds ratios (OR) for VTE were calculated for the different multimorbidity disease clusters. There were 16% (n = 440,742) of multimorbid individuals in the study population. Forty-four of the individual 45 NCDs were associated with VTE. The PCA analysis identified nine multimorbidity disease clusters, F1-F9. Seven of these multimorbidity clusters were associated with VTE. The adjusted OR for VTE in the multimorbid patients was for the first three clusters: F1 (cardiometabolic diseases) 3.44 (95%CI 3.24-3.65), F2 (mental disorders) 2.25 (95%CI 2.14-2.37) and F3 (digestive system diseases) 4.35 (95%CI 3.63-5.22). There was an association between multimorbidity severity and OR for VTE. For instance, the occurrence of at least five diseases was in F1 and F2 associated with ORs for VTE: 8.17 (95%CI 6.32-10.55) and 6.31 (95%CI 4.34-9.17), respectively. In this nationwide study we have shown a strong association between VTE and different multimorbidity disease clusters that might be useful for VTE prediction.