Tag: statistics

J Chem Theory Comput. 2023 May 31. doi: 10.1021/acs.jctc.3c00308. Online ahead of print.

ABSTRACT

In molecular dynamics simulations in the NPT ensemble at constant pressure, the size and shape of the periodic simulation box fluctuate with time. For particle images far from the origin, the rescaling of the box by the barostat results in unbounded position displacements. Special care is thus required when a particle trajectory is unwrapped from a projection into the central box under periodic boundary conditions to a trajectory in full three-dimensional space, e.g., for the calculation of translational diffusion coefficients. Here, we review and compare different schemes in use for trajectory unwrapping. We also specify the corresponding rewrapping schemes to put an unwrapped trajectory back into the central box. On this basis, we then identify a scheme for the calculation of diffusion coefficients from NPT simulations, which is a primary application of trajectory unwrapping. In this scheme, the wrapped and unwrapped trajectory are mutually consistent and their statistical properties are preserved. We conclude with advice on best practice for the consistent unwrapping of constant-pressure simulation trajectories and the calculation of accurate translational diffusion coefficients.

PMID:37257090 | DOI:10.1021/acs.jctc.3c00308

Diabetes Care. 2023 May 31:dc222372. doi: 10.2337/dc22-2372. Online ahead of print.

ABSTRACT

OBJECTIVE: Identify the improvement in diabetes performance measures and population-based clinical outcomes resulting from changes in care management processes (CMP) in primary care practices over 3 years.

RESEARCH DESIGN AND METHODS: This repeated cross-sectional study tracked clinical performance measures for all diabetes patients seen in a cohort of 330 primary care practices in 2017 and 2019. Unit of analysis was patient-year with practice-level CMP exposures. Causal inference is based on dynamic changes in individual CMPs between years by practice. We used the Bayesian method to simultaneously estimate a five-outcome model: A1c, systolic and diastolic blood pressure, guideline-based statin use, and Optimal Diabetes Care (ODC). We control for unobserved time-invariant practice characteristics and secular change. We modeled correlation of errors across outcomes. Statistical significance was identified using 99% Bayesian credible intervals (analogous to P < 0.01).

RESULTS: Implementation of 18 of 62 CMPs was associated with statistically significant improvements in patient outcomes. Together, these resulted in 12.1% more patients meeting ODC performance measures. Different CMPs affected different outcomes. Three CMPs accounted for 47% of the total ODC improvement, 68% of A1c decrease, 21% of SBP reduction, and 55% of statin use increase: 1) systems for identifying and reminding patients due for testing, 2) after-visit follow-up by a nonclinician, and 3) guideline-based clinician reminders for preventive services during a clinic visit.

CONCLUSIONS: Effective quality improvement in primary care focuses on practice redesign that clearly improves diabetes outcomes. Tailoring CMP adoption in primary care provides effective improvement in ODC performance through focused changes in diabetes outcomes.

PMID:37257083 | DOI:10.2337/dc22-2372

JBRA Assist Reprod. 2023 May 31. doi: 10.5935/1518-0557.20220000. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess the willingness of patients with infertility to continue with their in vitro fertilization (IVF) treatment during the COVID-19 pandemic.

METHODS: This cross-sectional survey was conducted in the reproductive, endocrine, and infertility medicine department (REIMD) at King Fahad Medical City (KFMC), Riyadh, Saudi Arabia. Patients that were planned to undergo IVF treatment at REIMD were contacted and asked about whether they would like to start IVF treatment during the COVID-19 pandemic from August 2020 to August 2021. Data was analyzed using the SPSS version 24. Statistics obtained as means and standard deviations from continuous variables correlated with the Chi-square test and results were considered significant at p≤0.05.

RESULTS: Of the 400 participants, 245 (61.25%) were between the ages of 30-39 years. About 42.75% (n=171) of the patients had 6-10 years of infertility, and 18% (n=72) had at least one pregnancy but no living children. While 64.7% (n=259) of the participants responded on the first call, 83% (n=332) agreed to continue their treatment. Of those, 13% (n=43) preferred to book appointments as soon as possible; 29.8% (n=99) preferred booking within three months; while 57.2% (n=190) chose to book after three months. From our sample, 86.8% (n=59) were afraid to contract the virus and the choice to delay the IVF treatment correlated with the patient’s age (p<0.001) and duration of infertility (p=0.007).

CONCLUSIONS: The COVID-19 pandemic affected IVF treatment courses, and many patients were afraid to be infected during this pandemic.

PMID:37257077 | DOI:10.5935/1518-0557.20220000

Int J Urol. 2023 May 31. doi: 10.1111/iju.15209. Online ahead of print.

ABSTRACT

OBJECTIVES: To report outcomes of surgical treatment in patients with penile foreign body granuloma and compare surgical outcomes between single- and two-stage scrotal flap reconstructions.

METHODS: Medical records of patients with penile foreign body granuloma who underwent surgical treatment were reviewed. Patients with single- and two-stage scrotal flap reconstructions were compared.

RESULTS: Forty-two patients underwent surgical treatment from January 1, 2018 to October 31, 2022. Twenty-three patients underwent single-stage reconstruction with bilateral scrotal flap while 12 patients underwent two-stage repair with 19 operations. Five patients underwent circumcision; one had excision with primary closure. Another patient underwent reconstruction by penile skin preservation technique. There was no statistically significant differences between single- and two-stage groups in wound infection (8.69% vs. 0%, RR 2.71, 95%CI; 0.14-52.29), wound dehiscence (21.74% vs. 8.33%, RR 2.61, 95%CI 0.34-19.87), reoperation rate (26.08% vs. 8.33%, RR 3.13, 95%CI; 0.42-23.10). Postoperative fever was significantly higher in single-stage group (56.52 vs. 8.33%, RR 6.78, 95%CI; 1.01-43.83). Total length of hospital stay was shorter in single-stage group (7.43 ± 3.19 days vs. 10.86 ± 1.57 days, MD -3.42, 95%CI; -5.28 to -1.57). Incidence of patients without Clavien-Dindo surgical complications was significantly lower in single-stage group (43.48% vs. 83.33%, RR 0.53, 95%CI; 0.31-0.89).

CONCLUSIONS: Both single- and two-stage techniques may be considered for penile foreign body granuloma reconstruction. Although the hospital stay was longer in two-stage group, the complication rates were lower.

PMID:37257041 | DOI:10.1111/iju.15209

Eur Endod J. 2023 May;8(3):215-224. doi: 10.14744/eej.2023.36449.

ABSTRACT

OBJECTIVE: This study compared the effects of calcium chloride dihydrate (CaCl2.2H2O) on the physical properties and push-out bond strength of white Mineral Trioxide Aggregate (WMTA) and an experimental Malaysian Portland cement mixed with nano-zirconium oxide (nano-ZrO) [(radiopaque Malaysian Portland cement (RMPC). Mineral Trioxide Aggregate (MTA) was the first calcium silicate cement (CSC) introduced in dentistry, but up to date, it is an expensive cement with long setting time and causes tooth discolouration. Although Portland cement has been introduced as a potential substitute to MTA, it still faces some challenges such as long setting time and lack of sufficient radiopacity.

METHODS: Four groups [WMTA, RMPC, fast-set WMTA (FS-WMTA) and fast-set RMPC (FS-RMPC)] were prepared. Initial setting time was evaluated using Vicat apparatus. The pH was measured at seven-day intervals. For discolouration potential, cements were packed in the pulp chamber of 46 extracted maxillary incisors. Spectrophotometric readings were obtained at seven-day intervals, and the rate of colour change (ΔE) was recorded. For the push-out bond strength testing, cements were applied in 48 sectioned root samples, and the test was performed using universal testing machine at crosshead speed of 0.5 mm/min until bond failure. Statistical analysis was done according to the nature of each group of data using SPSS 26.

RESULTS: Addition of CaCl2.2H2O decreased the initial setting times of both RMPC and WMTA significantly (p<0.05). The pH values of FS-WMTA and FS-RMPC were comparable to their non-accelerated counterparts ranging from 10 to 12. Discolouration effect was more obviously observed with WMTA and FS-WMTA with time compared to RMPC formulations. Push-out bond strength of the two materials also showed an increase with the addition of the accelerator, however, only FS-WMTA showed statistically significant difference compared to WMTA (p<0.05).

CONCLUSION: The addition of CaCl2.2H2O improves the physical and mechanical properties of the newly formulated RMPC and WMTA. The RMPC formulation overcomes the discolouration potential of WMTA. (EEJ-2022-12-155).

PMID:37257037 | DOI:10.14744/eej.2023.36449

Eur Endod J. 2023 May;8(3):201-206. doi: 10.14744/eej.2023.73792.

ABSTRACT

OBJECTIVE: To compare the fatigue resistance of different heat-treated reciprocating instruments tested in a dynamic cyclic fatigue model.

METHODS: Forty-eight new instruments were inspected under magnification and selected for this study, and then divided as follows (n=12): X1 Blue (MK Life, Porto Alegre, RS, Brazil), Pro-R (MK Life), Reciproc (VDW, Munich, Germany), and Reciproc Blue (VDW). Artificial canals presenting a curvature of 60° angle and 5 mm radius were milled in zirconia. The block containing the artificial canals was mounted in a container filled with water kept at 37°C. A specially designed device was used to perform controlled axial movements while the instruments were activated inside the canals. Time to failure was recorded in seconds, and fragment lengths were measured (mm). Data were analyzed statistically with the significance level set at 5% (One-Way ANOVA and Tukey test).

RESULTS: Pro-R and Reciproc Blue instruments presented the highest fatigue resistance, being significantly different from the other tested files (p<0.05). Reciproc presented intermediate results, significantly different X1 Blue (p<0.05). The fractographic analysis showed typical features of cyclic fatigue for all instruments.

CONCLUSION: Pro-R and Reciproc Blue instruments are more resistant to dynamic cyclic fatigue than the Reciproc and X1 Blue. (EEJ-2022-10-124).

PMID:37257036 | DOI:10.14744/eej.2023.73792

J Med Internet Res. 2023 May 31;25:e46924. doi: 10.2196/46924.

ABSTRACT

BACKGROUND: Artificial intelligence (AI) has advanced substantially in recent years, transforming many industries and improving the way people live and work. In scientific research, AI can enhance the quality and efficiency of data analysis and publication. However, AI has also opened up the possibility of generating high-quality fraudulent papers that are difficult to detect, raising important questions about the integrity of scientific research and the trustworthiness of published papers.

OBJECTIVE: The aim of this study was to investigate the capabilities of current AI language models in generating high-quality fraudulent medical articles. We hypothesized that modern AI models can create highly convincing fraudulent papers that can easily deceive readers and even experienced researchers.

METHODS: This proof-of-concept study used ChatGPT (Chat Generative Pre-trained Transformer) powered by the GPT-3 (Generative Pre-trained Transformer 3) language model to generate a fraudulent scientific article related to neurosurgery. GPT-3 is a large language model developed by OpenAI that uses deep learning algorithms to generate human-like text in response to prompts given by users. The model was trained on a massive corpus of text from the internet and is capable of generating high-quality text in a variety of languages and on various topics. The authors posed questions and prompts to the model and refined them iteratively as the model generated the responses. The goal was to create a completely fabricated article including the abstract, introduction, material and methods, discussion, references, charts, etc. Once the article was generated, it was reviewed for accuracy and coherence by experts in the fields of neurosurgery, psychiatry, and statistics and compared to existing similar articles.

RESULTS: The study found that the AI language model can create a highly convincing fraudulent article that resembled a genuine scientific paper in terms of word usage, sentence structure, and overall composition. The AI-generated article included standard sections such as introduction, material and methods, results, and discussion, as well a data sheet. It consisted of 1992 words and 17 citations, and the whole process of article creation took approximately 1 hour without any special training of the human user. However, there were some concerns and specific mistakes identified in the generated article, specifically in the references.

CONCLUSIONS: The study demonstrates the potential of current AI language models to generate completely fabricated scientific articles. Although the papers look sophisticated and seemingly flawless, expert readers may identify semantic inaccuracies and errors upon closer inspection. We highlight the need for increased vigilance and better detection methods to combat the potential misuse of AI in scientific research. At the same time, it is important to recognize the potential benefits of using AI language models in genuine scientific writing and research, such as manuscript preparation and language editing.

PMID:37256685 | DOI:10.2196/46924

J Nurs Care Qual. 2023 May 23. doi: 10.1097/NCQ.0000000000000718. Online ahead of print.

ABSTRACT

BACKGROUND: Elastomeric half-mask respirators (EHMR) reduce health care workers’ exposure to airborne hazards including bioaerosols but have primarily been used in the industrial setting.

PURPOSE: To assess health care workers’ perceptions, attitudes, and experiences wearing EHMRs in a clinical environment.

METHODS: Employees within a single health care system who wore the EHMR continuously during their shift completed an investigator developed survey. Descriptive statistics and thematic analysis were used.

RESULTS: Of the 8273 EHMR “fit-tested” eligible employees, 1478 met inclusion criteria and participated. Respondents reported that they felt well protected with the EHMR and confident in their care and maintenance of the EHMR. Although skin changes developed, they were primarily managed by adjusting the straps. Clarity of communication was a concern across all respondents and disciplines.

CONCLUSIONS: The EHMR was preferred over reusing the N95 although clarity in communication was challenging.

PMID:37256675 | DOI:10.1097/NCQ.0000000000000718

J Med Internet Res. 2023 May 31;25:e46721. doi: 10.2196/46721.

ABSTRACT

BACKGROUND: Despite the benefits of digital health technology use, older adults with cancer (ie, aged 65 years) have reported challenges to technology adoption. However, there has been a lack of a good understanding of their digital health technology use patterns and the associated influential factors in the past few years.

OBJECTIVE: This study aimed to examine the trends in and factors associated with digital health technology use among older adults with cancer.

METHODS: The National Health and Aging Trends Study (NHATS) data set is a national longitudinal cohort study with annual survey waves of Medicare beneficiaries 65 years and older. Participants were community-dwelling older adults who self-reported previous or current cancer diagnoses in each round. The study sample size of each round ranged from 1996 (2015) to 1131 (2021). Digital health technology use was defined as using the internet or online in the last month to order or refill prescriptions, contact medical providers, handle Medicare or other insurance matters, or get information about their health conditions. The association of sociodemographics, clinical factors (self-rated health, chronic conditions, difficulties in activities of daily living, dementia, anxiety, and depression), and physical function (Short Physical Performance Battery and grip strength) with digital health technology use was examined using design-based logistic regression. All statistical analyses accounted for the complex sample design.

RESULTS: The prevalence of any digital health technology use increased from 36% in 2015 to 45% in 2019. In 2020-2021, which was amid the COVID-19 pandemic, it ranged from 51% to 52%. In terms of each digital health technology use behavior, in 2015, overall, 28% of older cancer survivors used digital health technology to obtain health information, followed by contacting clinicians (19%), filling prescriptions (14%), and handling insurance (11%). Greater use of digital health technology was associated with younger age, being White, having a college or higher education, having a higher income, having more comorbidities, nondementia, and having a higher gait speed.

CONCLUSIONS: Digital health technology use in older adults with cancer has gradually increased, particularly during the COVID-19 pandemic. However, socioeconomic and racial disparities have remained in older cancer survivors. Additionally, older adults with cancer may have some unique features associated with digital health technology use; for example, their use of digital health may be increased by their comorbidities (ie, health care needs) and reduced by their frailty.

PMID:37256672 | DOI:10.2196/46721

JMIR Aging. 2023 May 31;6:e46976. doi: 10.2196/46976.

ABSTRACT

BACKGROUND: Pain is prevalent and poorly managed in older adults. Although pain self-management strategies are helpful, adoption and access are limited; thus, technology provides an opportunity for intervention delivery. Mobile health (mHealth) is feasible to use in older adults; however, we have yet to understand the effect of mHealth pain self-management interventions on pain outcomes in older adults.

OBJECTIVE: The purpose of this scoping review is to examine the characteristics of mHealth interventions and their efficacy on pain outcomes in older adults with musculoskeletal pain.

METHODS: With the assistance of a medical librarian, keywords and subject headings were generated, including but not limited to mobile health application, mHealth, digital, pain, pain management, and older. A search was conducted for papers in journal databases, including PubMed, Embase, CINAHL, Scopus, and IEEE Xplore, between 2000 and 2022. Papers were screened according to predetermined inclusion and exclusion criteria, and reference lists were reviewed for additional paper inclusion. Three authors appraised the methodology of papers independently, then collaboratively to synthesize the evidence.

RESULTS: Six publications were included in the scoping review. The design and methodology ranged widely from pilot studies to a comparative effectiveness trial. Older participants in the studies reported a variety of musculoskeletal conditions. Delivery of the mHealth pain self-management interventions incorporated mobile devices, such as a smartphone or tablet. Most mHealth-delivered interventions were multicomponent and incorporated elements of in-person and telephone access to an interventionist. The findings suggested mHealth interventions may reduce pain intensity; however, pain interference and other pain-related conditions did not have a statistically significant reduction.

CONCLUSIONS: Research that has explored mHealth for pain self-management is beginning to move beyond feasibility. The few experimental studies conducted in older adults are heterogeneous, and the interventions are mostly multicomponent. It is premature to conclude the interventions’ significant effect on pain or pain-related symptoms. As technology continues to integrate into health care, more experimental research is warranted to examine the efficacy of mHealth interventions on a variety of pain outcomes in older adults.

PMID:37256667 | DOI:10.2196/46976