Effortful retrieval of semantic memories induces forgetting of related negative and neutral episodic memories.

Retrieval-induced forgetting (RIF) experiments show that the act of retrieving some recently encoded items from a given conceptual category leads to greater forgetting of competing items from that same category. However, RIF studies using emotional stimuli have produced mixed results, perhaps due to the reinstatement of arousal or negative affect during retrieval practice. To induce forgetting of negative episodic memories more indirectly, we examined if retrieving neutral semantic memories leads to RIF of related negative memories. In two experiments, participants studied eight categorized lists comprised of an equal number of negative and neutral words (Experiment 1) or neutral words preceded by neutral or negative images (Experiment 2). To avoid re-exposing individuals to negative material during retrieval practice, participants then performed a semantic memory retrieval task in which they generated (i.e., completed word-stems for) new neutral words from half of the studied categories. We found that semantic retrieval, or word generation, induced forgetting of recently studied words irrespective of their emotional valence or original emotional context. Additionally, across both experiments, less successful word generation was associated with stronger RIF effects. In Experiment 2, the magnitude of RIF was also correlated with higher subjective ratings of retrieval effort during word generation. Together, these results suggest that even when retrieving neutral semantic memories, effortful retrieval may enhance inhibitory processes that lead to forgetting of both neutral and negative episodic memories.

Knowledge, attitude, and practice of artificial intelligence among medical students in Sudan: a cross-sectional study.

Introduction: In this cross-sectional study, the authors explored the knowledge, attitudes, and practices related to artificial intelligence (AI) among medical students in Sudan. With AI increasingly impacting healthcare, understanding its integration into medical education is crucial. This study aimed to assess the current state of AI awareness, perceptions, and practical experiences among medical students in Sudan. The authors aimed to evaluate the extent of AI familiarity among Sudanese medical students by examining their attitudes toward its application in medicine. Additionally, this study seeks to identify the factors influencing knowledge levels and explore the practical implementation of AI in the medical field. Method: A web-based survey was distributed to medical students in Sudan via social media platforms and e-mail during October 2023. The survey included questions on demographic information, knowledge of AI, attitudes toward its applications, and practical experiences. The descriptive statistics, χ2 tests, logistic regression, and correlations were analyzed using SPSS version 26.0. Results: Out of the 762 participants, the majority exhibited a basic understanding of AI, but detailed knowledge of its applications was limited. Positive attitudes toward the importance of AI in diagnosis, radiology, and pathology were prevalent. However, practical application of these methods was infrequent, with only a minority of the participants having hands-on experience. Factors influencing knowledge included the lack of a formal curriculum and gender disparities. Conclusion: This study highlights the need for comprehensive AI education in medical training programs in Sudan. While participants displayed positive attitudes, there was a notable gap in practical experience. Addressing these gaps through targeted educational interventions is crucial for preparing future healthcare professionals to navigate the evolving landscape of AI in medicine. Recommendations: Policy efforts should focus on integrating AI education into the medical curriculum to ensure readiness for the technological advancements shaping the future of healthcare.

Unveiling the nexus between perceived overqualification and knowledge hiding: Moderated mediation analysis of job crafting and job boredom.

Purpose: Grounding on relative deprivation theory, this study aimed to investigate the relationship between perceived overqualification (POQ) and knowledge hiding. Furthermore, this study investigated the mediating role of job boredom and the moderating effect of job crafting. Design: /Methodology/Approach: This study employs Hayes' PROCESS model to analyze data obtained from 374 employees working in the hospitality and tourism industry. Findings: The results indicate a positive relationship between POQ, job boredom, and knowledge hiding. These findings suggest that job boredom mediates the relationship between POQ and knowledge hiding. Furthermore, the study showed a moderated mediation path wherein the interaction effect of POQ and job crafting on knowledge hiding was mediated by job boredom. Research limitations/implications: Data were collected from the hospitality and tourism industry, limiting the generalizability of the findings to other sectors. Additionally, the study relied on self-reported measures, which may have resulted in a bias. Practical implications: Conduct thorough job fit assessments during the hiring process to ensure that candidates' qualifications align closely with job requirements. By matching employees' skills and experiences to their job, organizations can reduce perceived overqualification, which may lower job boredom and knowledge hiding tendencies. Originality/value: This study's focus on person-job misfits adds a new layer of insight into employee experiences in the workplace. By examining how mismatches between individuals and their roles contribute to job boredom and knowledge hiding, this study highlights the importance of aligning job responsibilities with employee skills, qualifications, and preferences.

Fractal Pattern in the Premature Graying of Hair: A Case Report.

Premature graying of hair (PGH) is a multifactorial condition defined by the graying of hair before the age of 20 in Caucasians and before the age of 30 in African Americans. Although the etiology remains unknown, it has been associated with genetic predisposition, oxidative stress, nutritional deficiencies, and autoimmune diseases. Current treatment options are limited but can include anti-inflammatory medications, vitamins, and hair colorants for symptom control. In this report, we present a case of premature graying in a 32-year-old male, onset at age 15, exhibiting a distinctive fractal pattern. This case represents a unique instance of PGH characterized by an unusual pattern, necessitating further investigation into potential etiological factors and underlying pathophysiological mechanisms.

Comparing machine learning screening approaches using clinical data and cytokine profiles for COVID-19 in resource-limited and resource-abundant settings.

Accurate screening of COVID-19 infection status for symptomatic patients is a critical public health task. Although molecular and antigen tests now exist for COVID-19, in resource-limited settings, screening tests are often not available. Furthermore, during the early stages of the pandemic tests were not available in any capacity. We utilized an automated machine learning (ML) approach to train and evaluate thousands of models on a clinical dataset consisting of commonly available clinical and laboratory data, along with cytokine profiles for patients (n = 150). These models were then further tested for generalizability on an out-of-sample secondary dataset (n = 120). We were able to develop a ML model for rapid and reliable screening of patients as COVID-19 positive or negative using three approaches: commonly available clinical and laboratory data, a cytokine profile, and a combination of the common data and cytokine profile. Of the tens of thousands of models automatically tested for the three approaches, all three approaches demonstrated > 92% sensitivity and > 88 specificity while our highest performing model achieved 95.6% sensitivity and 98.1% specificity. These models represent a potential effective deployable solution for COVID-19 status classification for symptomatic patients in resource-limited settings and provide proof-of-concept for rapid development of screening tools for novel emerging infectious diseases.

Impact of COVID-19 on patients undergoing scheduled procedures for chronic venous disease.

OBJECTIVE: The COVID-19 pandemic has drastically altered the medical landscape. Various strategies have been employed to preserve hospital beds, personal protective equipment, and other resources to accommodate the surges of COVID-19 positive patients, hospital overcapacities, and staffing shortages. This has had a dramatic effect on vascular surgical practice. The objective of this study is to analyze the impact of the COVID-19 pandemic on surgical delays and adverse outcomes for patients with chronic venous disease scheduled to undergo elective operations. METHODS: The Vascular Surgery COVID-19 Collaborative (VASCC) was founded in March 2020 to evaluate the outcomes of patients with vascular disease whose operations were delayed. Modules were developed by vascular surgeon working groups and tested before implementation. A data analysis of outcomes of patients with chronic venous disease whose surgeries were postponed during the COVID-19 pandemic from March 2020 through February 2021 was performed for this study. RESULTS: A total of 150 patients from 12 institutions in the United States were included in the study. Indications for venous intervention were: 85.3% varicose veins, 10.7% varicose veins with venous ulceration, and 4.0% lipodermatosclerosis. One hundred two surgeries had successfully been completed at the time of data entry. The average length of the delay was 91 days, with a median of 78 days. Delays for venous ulceration procedures ranged from 38 to 208 days. No patients required an emergent intervention due to their venous disease, and no patients experienced major adverse events following their delayed surgeries. CONCLUSIONS: Interventions may be safely delayed for patients with venous disease requiring elective surgical intervention during the COVID-19 pandemic. This finding supports the American College of Surgeons' recommendations for the management of elective vascular surgical procedures. Office-based labs may be safe locations for continued treatment when resources are limited. Although the interventions can be safely postponed, the negative impact on quality of life warrants further investigation.

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups.

Purpose: To externally test four chest radiograph classifiers on a large, diverse, real-world dataset with robust subgroup analysis. Materials and Methods: In this retrospective study, adult posteroanterior chest radiographs (January 2016-December 2020) and associated radiology reports from Trillium Health Partners in Ontario, Canada, were extracted and de-identified. An open-source natural language processing tool was locally validated and used to generate ground truth labels for the 197 540-image dataset based on the associated radiology report. Four classifiers generated predictions on each chest radiograph. Performance was evaluated using accuracy, positive predictive value, negative predictive value, sensitivity, specificity, F1 score, and Matthews correlation coefficient for the overall dataset and for patient, setting, and pathology subgroups. Results: Classifiers demonstrated 68%-77% accuracy, 64%-75% sensitivity, and 82%-94% specificity on the external testing dataset. Algorithms showed decreased sensitivity for solitary findings (43%-65%), patients younger than 40 years (27%-39%), and patients in the emergency department (38%-60%) and decreased specificity on normal chest radiographs with support devices (59%-85%). Differences in sex and ancestry represented movements along an algorithm's receiver operating characteristic curve. Conclusion: Performance of deep learning chest radiograph classifiers was subject to patient, setting, and pathology factors, demonstrating that subgroup analysis is necessary to inform implementation and monitor ongoing performance to ensure optimal quality, safety, and equity.Keywords: Conventional Radiography, Thorax, Ethics, Supervised Learning, Convolutional Neural Network (CNN), Machine Learning Algorithms Supplemental material is available for this article. © RSNA, 2023See also the commentary by Huisman and Hannink in this issue.

Efficacy of Massage on Pain Intensity in Post-Cesarean Women: a Systematic Review and Meta-Analysis.

Background: Cesarean section is a common surgical procedure that may be considered a safe alternative to natural birth and helps to resolve numerous obstetric conditions. Still, the Cesarean section is painful; relieving pain after a Cesarean section is crucial, therefore analgesia is necessary for the postoperative period. However, analgesia is not free of complications and contraindications, so massage may be a cost-effective method for decreasing pain post-Cesarean. Our study aims to determine the massage role in pain intensity after Cesarean sections. Methods: We searched five electronic databases for relevant studies. Data were extracted from the included studies after screening procedures. We calculated the pooled mean difference (MD) and standardized mean difference (SMD) for our continuous outcomes, using random or fixed-effect meta-analysis according to heterogenicity status. Interventional studies were assessed for methodological quality using the Cochrane risk-of-bias assessment tool, while observational studies were assessed using the National Institutes of Health's tools. Results: Our study included 10 RCTs and five observational studies conducted with over 1,595 post-Cesarean women. The pooled MDs for pain intensity considering baseline values either immediately or post 60-90 minutes were favoring the massagegroup over the control group as follows:(stand. MD = -2.64, 95% CI [-3.80, -1.48], p >.00001; MD = -2.64, 95% CI [-3.80, -1.48], p >.00001, respectively). While pooled MDsregarding post-intervention only eitherimmediately or post 60-90 minutes were:(stand. MD = -2.04, 95% CI [-3.26, -0.82], p =.001; stand. MD = -2.62, 95% CI [-3.52, -1.72],p > .00001, respectively). Conclusion: Our study found that using massage was superior to the control groups in decreasing pain intensity either when the pain was assessed immediately after or 60-90 minutes post-massage application.

Impact of Prefilled Syringes and Masking on Postintravitreal Injection Endophthalmitis.

Purpose: To compare rates of endophthalmitis (1) following intravitreal injection of antivascular endothelial growth factor therapies with glass-vial preparation (GVP) vs prefilled syringes (PFS) and (2) before and after masking protocols were implemented. Methods: Medical records within a multicenter retina practice in Houston, Texas, from January 2015 to August 2021 were retrospectively reviewed. The primary outcome was rate of endophthalmitis after intravitreal injection. Results: A total of 307 349 injections were performed during the study period and 101 cases of endophthalmitis were identified (0.033%). PFS use was associated with a decreased risk of endophthalmitis (relative risk [RR], 0.320; 95% CI, 0.198-0.518, P < .001); 54 cases of endophthalmitis occurred in the GVP group of aflibercept and ranibizumab (0.052%) compared with 24 in the PFS group (0.017%). There was no difference in the endophthalmitis rates with or without universal masking (RR, 0.953; 95% CI 0.616-1.473, P = .91). Discussion: PFS use was associated with a significant reduction in the rate of endophthalmitis while the use of surgical face masks did not appear to significantly impact the rate of endophthalmitis.

The effects of Yakson touch and gentle human touch on preterm infants: A systematic review and meta-analysis.

We aim to collect the evidence of efficacy of Gentle Guman Touch (GHT) and Yakson Touch in preterm neonates as pain relief, heart rate, oxygen saturation, and urine cortisol level. We made our search through PubMed, Web of Science, Scopus, and Cochrane by the mid of March 2023. Randomized control trials (RCTs) were included, and the Cochrane risk of bias tool was utilized to assess their quality. Using Review Manager software, a meta-analysis was conducted. We computed the mean difference (MD) with a 95% confidence interval (CI) for the continuous data. During the examination, the Neonatal Infant Pain Scale (NIPS) was significantly reduced in the touch group compared to the control group (MD = -3.40, 95% CI [-4.15 to -2.64], P-value= 0.00001). After the examination, the NIPS score was also reduced by both Yakson touch and GHT compared to the control (MD = -2.14, 95% CI [-3.42 to -0.85], P-value <0.00001). Yakson touch and GHT are non-pharmacological, easy, and safe methods that can be used for painful interventions to reduce the pain experience of preterm infants from variable interventions. Both methods improved infant sleep and behavior. Preterm infants' heart rates and oxygen saturation were unaffected by Yakson touch or GHT.

Recent advances towards overcoming the blood-brain barrier.

The blood-brain barrier (BBB) is a protective element of the neurovascular unit (NVU) surrounded by astrocytes, pericytes, extracellular matrix, and the tight junctional complex, which play a fundamental role in brain homeostasis. Due to its impeccable structural architecture, the BBB is referred to as the brain's gatekeeper, a near-impenetrable barrier to therapeutics. This review summarises the significant strides that have been made in the last 5 years towards circumventing the BBB and developing efficient drug delivery systems. Challenges associated with several CNS disorders related to BBB failure and exploitation of this unique NVU component for targeted treatment of brain-related disorders are also discussed.

Effectiveness of a Multi-component Delirium Prevention Program Implemented on General Medicine Hospital Units: an Interrupted Time Series Analysis.

BACKGROUND: Delirium is among the most prevalent harmful events in hospitals that is associated with an elevated risk for severe outcomes such as functional decline, falls, longer length of stay, and increased mortality. OBJECTIVE: To evaluate the impact of the implementation of a multi-component delirium program on the prevalence of delirium and the incidence of falls among patients staying on general medicine inpatient hospital units. DESIGN: A pre-post intervention study using retrospective chart abstraction and interrupted time series analysis. COHORT: Patients were selected from adult patients that stayed at least 1 day on one of the five general medicine units in a large community hospital in Ontario, Canada. A total of 16 random samples of 50 patients per month for 8 consecutive months pre-intervention (October 2017 to May 2018) and 8 months post intervention (January 2019 to August 2019) were selected for a total of 800 patients. There were no exclusion criteria. INTERVENTION: The delirium program included multiple components: education of staff and hospital leadership, twice per day bed-side screen for delirium, non-pharmacological and pharmacological prevention, and intervention strategies and a delirium consultation team. MEASUREMENT: Delirium prevalence was assessed using the evidence-based delirium chart abstraction method, CHART-del. Demographic data as well as fall incidence were also collected. RESULT: Our evaluation showed that the implementation of a multicomponent delirium program led to a reduction in delirium prevalence and fall incidences. The reduction in both delirium and falls was the largest for patients in the ages between 72 and 83 years old and varied across inpatient units. CONCLUSION: A multi-component delirium program to improve the prevention, recognition, and management of delirium reduces the prevalence of delirium and fall incidence among patients in general medicine units.

Race, sex, and socioeconomic disparities affect the clinical stage of patients presenting for treatment of superficial venous disease.

OBJECTIVE: Superficial venous disease has a U.S. prevalence of nearly 30%, with advanced disease contributing to a significant healthcare burden. Although the risk factors for venous disease are well known, the correlation between race, sex, socioeconomic status, and disease severity on presentation is not well established. The area deprivation index (ADI) is a validated metric with respect to regional geography, social determinants of health, and degree of socioeconomic disadvantage. In the present study, we aimed to identify the disparities and the effect that the ADI, in addition to race and sex, has among patients associated with an advanced venous disease presentation. METHODS: A retrospective review between 2012 and 2022 was performed at four tertiary U.S. institutions to identify patients who underwent endovenous closure of their saphenous veins. Patient demographics, state ADI, comorbidities, CEAP (clinical, etiologic, anatomic, pathophysiologic) classification, and periprocedural outcomes were included. Pearson's correlation was performed between the CEAP classification and ADI. Poisson regression analysis was performed to identify factors predicting for an increasing CEAP classification at presentation. Variables with P < .05 were deemed significant. RESULTS: A total of 2346 patients underwent endovenous saphenous vein closure during the study period, of whom 7 were excluded because of a lack of follow-up data. The mean age was 60.4 ± 14.9 years, 65.9% were women, and 55.4% were White. Of the 2339 patients, 73.3% presented with an advanced CEAP class (≥3). The mean state ADI for the entire cohort was 4.9 ± 3.1. The percent change in the CEAP classification is an increase of 2% and 1% for every level increase in the state ADI for unadjusted (incidence rate ratio [IRR] = 1.02; P < .001) and adjusted (IRR = 1.01; P < .001) models, respectively. Black race has a 12% increased risk of a higher CEAP class on presentation compared with White race (IRR = 1.12; P = .005). Female sex had a 16% lower risk of a higher CEAP presentation compared with male sex (IRR = 0.84; P < .01). CONCLUSIONS: Low socioeconomic status, Black race, and male sex are predictive of an advanced CEAP classification on initial presentation. These findings highlight the opportunity for improved mechanisms for identification of venous disease and at-risk patients before advanced disease progression in known disadvantaged patient populations.

Randomized Trial of Treat-and-Extend Intravitreal Aflibercept for Radiation Retinopathy: 1-Year Outcomes.

Purpose: Radiation retinopathy (RR)-related macular edema commonly causes poor visual acuity outcomes in patients previously treated with ocular radiation therapy. Current treatments are not US Food and Drug Administration (FDA)-approved and prior studies have variable outcomes. We performed a multicenter, prospective, randomized clinical trial to assess the safety and efficacy of 2 mg intravitreal aflibercept injections (IAIs) for the treatment of RR. Methods: Thirty-nine eyes in 39 patients with RR-related macular edema causing vision loss were assigned randomly to cohorts (1:1 ratio) in which patients either did or did not receive a loading dose of 3 IAIs followed by a treat-and-extend regimen. The primary outcome measure was the mean Early Treatment Diabetic Retinopathy Study best-corrected visual acuity (BCVA) change from baseline. Results: Of the 39 randomized patients, 30 (76.9%) completed the year 1 follow-up visit. The overall mean BCVA change from baseline was 4.3 letters (P = 0.087), with 1.57 letters and 6.69 letters gained in cohorts 1 and 2, respectively (P = 0.31). There was a significant difference in central retinal thickness (CRT) from baseline to week 52 overall (484.4 µm to 326.5 µm) and within cohorts 1 (441.2 µm to 311.1 µm) and 2 (522.3 µm to 339.9 µm), respectively (P < 0.001). A total of 96.7% of the patients had visual acuity of 20/200 or better, and 30.0% improved 10 or more letters. Conclusions: Aflibercept may improve CRT and may prevent vision loss in patients with RR using a treat-and-extend regimen through 52 weeks of therapy. Larger, multicenter studies are needed to confirm these findings.

Type IV Hypersensitivity Reaction after Cyanoacrylate Venous Closure.

BACKGROUND: Nonthermal endovenous closure techniques are routinely utilized to treat superficial axial venous reflux. Cyanoacrylate closure is a safe and effective modality implemented for truncal closure. However, an adverse reaction of type IV hypersensitivity (T4H), unique to cyanoacrylate, is a known risk. This study aims to evaluate the real-world incidence of T4H and examine risk factors that may predispose its development. METHODS: A retrospective review between 2012- and 2022 was performed at four tertiary US institutions to examine patients who underwent cyanoacrylate vein closure of their saphenous veins. Patient demographics, comorbidities, CEAP (Clinical [C], Etiological [E], Anatomical [A], and Pathophysiological [P]) classification, and periprocedural outcomes were included. The primary endpoint was development of T4H post procedure. Logistic regression analysis for risk factors predictive of T4H was performed. Variables with a P-value of <0.05 were deemed significant. RESULTS: 595 patients underwent 881 cyanoacrylate venous closures. Mean age was 66.2 ± 14.9, and 66% of patients were female. There were 92 (10.4%) T4H events in 79 (13%) patients. Oral steroids were administered to 23% for persistent and/or severe symptoms. There were no systemic allergic reactions to cyanoacrylate. Multivariate analysis revealed younger age (P = 0.015), active smoking status (P = 0.033), and CEAP 3 (P < 0.001) and 4 (P = 0.005) classifications as independent risk factors associated with development of T4H. CONCLUSIONS: This real-world multicenter study shows the overall incidence of T4H to be 10%. CEAP 3 and 4 patients of younger age and smokers predicted a higher risk of T4H to cyanoacrylate.

Improving the Prevention, Detection, and Management of Delirium in Adult Inpatients; an Interprofessional Consultative Team Pilot Project.

Delirium is a common, often preventable fluctuating state of cognition associated with increased morbidity and mortality. This report describes the implementation of an interprofessional consultative Delirium Team formed to improve the prevention, detection, and management of delirium in a community hospital. Team members consulted refered inpatients with delirium to establish a care plan and provide recommendations for pharmacological and non-pharmacological management. The team also offered delirium-related education to unit staff, patients, and caregivers. Consultations were initially completed by the team Nurse Practitioner or Occupational Therapist, and complex patients were discussed with the team Geriatrician and Psychiatrist at rounds to optimize specialist input. Of the 160 patients managed by the team over the 8-month study period, two-thirds of referred patients did not require specialist consultation for their delirium management. Strategies most often recommended by experts for managing delirium were related to medical management, social/cognitive engagement, and functional mobility. Two-thirds of all recommendations made by the team were implemented. Barriers and facilitators to implementation and improving unit staff adherence are further described. The consultative Delirium Team is a promising model that should be further explored for managing an aging population in a capacity-limited medical system.

Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients undergoing radical prostatectomy: a retrospective cohort study.

BACKGROUND: Accurate prediction of side-specific extraprostatic extension (ssEPE) is essential for performing nerve-sparing surgery to mitigate treatment-related side-effects such as impotence and incontinence in patients with localised prostate cancer. Artificial intelligence (AI) might provide robust and personalised ssEPE predictions to better inform nerve-sparing strategy during radical prostatectomy. We aimed to develop, externally validate, and perform an algorithmic audit of an AI-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA). METHODS: Each prostatic lobe was treated as an individual case such that each patient contributed two cases to the overall cohort. SEPERA was trained on 1022 cases from a community hospital network (Trillium Health Partners; Mississauga, ON, Canada) between 2010 and 2020. Subsequently, SEPERA was externally validated on 3914 cases across three academic centres: Princess Margaret Cancer Centre (Toronto, ON, Canada) from 2008 to 2020; L'Institut Mutualiste Montsouris (Paris, France) from 2010 to 2020; and Jules Bordet Institute (Brussels, Belgium) from 2015 to 2020. Model performance was characterised by area under the receiver operating characteristic curve (AUROC), area under the precision recall curve (AUPRC), calibration, and net benefit. SEPERA was compared against contemporary nomograms (ie, Sayyid nomogram, Soeterik nomogram [non-MRI and MRI]), as well as a separate logistic regression model using the same variables included in SEPERA. An algorithmic audit was performed to assess model bias and identify common patient characteristics among predictive errors. FINDINGS: Overall, 2468 patients comprising 4936 cases (ie, prostatic lobes) were included in this study. SEPERA was well calibrated and had the best performance across all validation cohorts (pooled AUROC of 0·77 [95% CI 0·75-0·78] and pooled AUPRC of 0·61 [0·58-0·63]). In patients with pathological ssEPE despite benign ipsilateral biopsies, SEPERA correctly predicted ssEPE in 72 (68%) of 106 cases compared with the other models (47 [44%] in the logistic regression model, none in the Sayyid model, 13 [12%] in the Soeterik non-MRI model, and five [5%] in the Soeterik MRI model). SEPERA had higher net benefit than the other models to predict ssEPE, enabling more patients to safely undergo nerve-sparing. In the algorithmic audit, no evidence of model bias was observed, with no significant difference in AUROC when stratified by race, biopsy year, age, biopsy type (systematic only vs systematic and MRI-targeted biopsy), biopsy location (academic vs community), and D'Amico risk group. According to the audit, the most common errors were false positives, particularly for older patients with high-risk disease. No aggressive tumours (ie, grade >2 or high-risk disease) were found among false negatives. INTERPRETATION: We demonstrated the accuracy, safety, and generalisability of using SEPERA to personalise nerve-sparing approaches during radical prostatectomy. FUNDING: None.

Designing and delivering digital learning (e-Learning) interventions in nursing and midwifery education: A systematic review of theories.

AIMS /OBJECTIVES: To identify and synthesise theories that support the design and delivery of digital learning interventions in nursing and midwifery education. BACKGROUND: A range of educational and other theories are used to support nursing and midwifery education, including when e-learning interventions are being designed and delivered. However, there is a limited understanding of how theory is applied across the wide range of digital learning interventions to inform pedagogical research and practice. DESIGN: A systematic review. METHODS: CINAHL, ERIC, MEDLINE and PubMed were searched using key terms. Studies were screened by independent reviewers checking the title, abstract and full text against eligibility criteria. Due to the theoretical focus of the review, critical appraisal was not undertaken. Data were extracted and synthesised using a descriptive approach. RESULTS: Thirty-four studies were included. Twenty theories were identified from a range of scientific disciplines, with the Technology Acceptance Model and Theory of Self-Efficacy employed most often. Theoretical frameworks were used to inform and explain how the digital learning interventions were designed or implemented in nursing and midwifery education. The sample were mainly undergraduate nursing students and the digital learning interventions encompassed animation, blended approaches, general technologies, mobile, online, virtual simulation and virtual reality applications which were used mainly in university settings. CONCLUSIONS: This systematic review found a range of theories that support the design and delivery on digital learning interventions in nursing and midwifery education. While a single theory, the Technology Acceptance Model, tended to dominate the literature, the evidence base is peppered with numerous theoretical models that need to be examined more rigorously to ascertain their utility in improving the design or implementation of digital forms of learning to improve pedagogical research and practice in nursing and midwifery.

Rapid-response surveillance of the first US test market for VLN cigarettes.

INTRODUCTION: VLN King menthol and non-menthol are the first combustible cigarettes to receive US Food and Drug Administration (FDA) authorisation as modified risk tobacco products. Focusing on the first retail test market, this study characterised VLN advertising, product placement, discounts and price. METHODS: All Chicago-area Circle K stores (n=133) were telephoned to assess whether they sold VLN. Single-pack price of non-menthol was obtained in 57 of 100 stores that sold VLN. In fall 2022, trained data collectors visited those 57 stores to assess VLN product placement, advertising, discounts and prices. Paired t-tests compared observed VLN price with telephone price and to price of other cigarette brands. RESULTS: Nearly all stores (91.1%) displayed exterior advertisements for VLN, and 41.1% displayed interior advertising, with 8.9% of stores advertising VLN in the power wall but never in the header row. VLN cigarettes were displayed in the power wall exclusively and among high-nicotine cigarettes. Some VLN marketing claims were not FDA-authorised. VLN advertised a sweepstakes offer and rewards programme. Most stores (85.7%) offered VLN discounts. VLN was priced like a premium brand (mean=$10.90, SD=$1.53), and prices obtained by telephone did not differ from observed prices several months later. CONCLUSIONS: Retail marketing strategies for VLN mimic those for high-nicotine cigarettes. Deviations from FDA-authorised marketing claims were evident. Surveillance in future test markets is recommended to assess compliance with marketing claims and examine relative price and discount offers. Of interest is how premium-priced, low-nicotine cigarettes stand to compete in a market dominated by cheaper high-nicotine cigarettes.