Discrepancies In Outcomes Research Articles

Association between Clinical Features and Risk Factors for Breast Cancer through a Cross-Sectional Study

Introduction: Breast cancer was responsible for 685,000 deaths worldwide in 2020. Approximately half of all breast cancers arise in women who have no identifiable risk factors other than their gender and age. Objectives: The goal of this study was to determine the association between clinical features and breast cancer risk factors. Methods: This cross-sectional study was conducted among 50 histologically confirmed breast cancer patients included by purposive sampling technique in the Surgery Department of Rangpur Medical College, Rangpur. Results: The presence of breast lump was significantly associated with the residence of patients (p value<0.011). The significant association between nipple retraction and family history may indicate a hereditary predisposition that affects the course of the disease (p value<0.031). Conclusion: This research provides insights into vital aspects of breast cancer within a particular demographic, under scoring the necessity for focused approaches to public health to address the discrepancies in breast cancer presentation and outcomes. J Bangladesh Coll Phys Surg 2024; 42: 321-328

Key Factors for Improving Predictive Accuracy and Avoiding Overparameterization of the PBPK Absorption Model in Food Effect Studies of Weakly Basic Water-Insoluble Compounds in Immediate Release Formulations.

Background/Objectives: Physiologically based pharmacokinetic (PBPK) absorption models are instrumental for assessing drug absorption prior to clinical food effect studies, though discrepancies in predictive and actual outcomes are observed. This study focused on immediate release formulations of weakly basic water-insoluble compounds, namely rivaroxaban, ticagrelor, and PB-201, to investigate factors that could improve the predictive accuracy of PBPK models regarding food effects. Methods: Comprehensive in vitro experimental results provided the basis for the development of mechanistic absorption models, which were then combined with mechanistic disposition models to predict the systemic exposure of the model drugs in both fasted and fed states. Results: The developed PBPK models showed moderate to high predictive accuracy for food effects in Caucasian populations. For the Chinese population, the ticagrelor model's initial overestimation of fed-state absorption was addressed by updating the permeability parameters from Caco-2 cell assays to those derived from parallel artificial membrane permeability assays in FaSSIF and FeSSIF media. This refinement was also applied to the rivaroxaban and ticagrelor models, leading to a more accurate representation of absorption in Caucasians. Conclusions: This study highlights the importance of apparent permeability in enhancing the predictive accuracy of PBPK absorption models for weakly basic water-insoluble compounds. Furthermore, the precipitation of PB-201 in the two-stage transfer experiments suggests that precipitation may not be a universal phenomenon for such compounds in vivo. Consequently, the precipitation rate constant, a theoretically essential parameter, should be determined based on experimental evidence to avoid overparameterization and ensure robust predictive accuracy of PBPK models.

Percutaneous Coronary Intervention Versus Robotic Coronary Bypass for Left Anterior Descending Artery Chronic Total Occlusion

BackgroundBoth percutaneous coronary interventions (PCIs) and robotic-assisted coronary artery bypass (CAB) offer viable options for left anterior descending (LAD) chronic total occlusion (CTO) revascularization. Our study aims to compare long-term clinical outcomes associated with these 2 strategies. MethodsIn this retrospective study, we analyzed data from 273 patients diagnosed with LAD CTO who underwent either PCI (n = 129) or CAB (n = 144) at a single institution. Long-term follow-up was available for 96 PCI and 125 CAB patients. We employed Kaplan-Meier curves and the log-rank test to conduct cumulative survival analyses free of major adverse cardiovascular events (MACE), cumulative survival, survival free of myocardial infarction, and repeat revascularization. ResultsIn the study cohort, patients who underwent PCI exhibited a higher prevalence of comorbidities including diabetes (48.9% vs 24.6%; P < .001), lower ejection fraction (44 ± 14 vs 52 ± 10; P < .001), prior heart failure (36.6% vs 22.2%; P = .02), and prior bypass surgery (16% vs 0, P < .001). PCI to non-LAD vessels was performed as part of initial complete revascularization in 40.3% of PCI and 40.6% of CAB patients. Upon a median 3.4 years of follow-up, CAB patients had significantly higher rates of survival free of MACE compared to PCI patients (unadjusted hazard ratio, 2.39; 95% CI, 1.13-5.03). Although PCI patients had similar unadjusted mortality, they experienced higher myocardial infarction and repeat revascularizations compared to CAB. However, the risk of repeat revascularization was attenuated after adjusting for prior bypass, diabetes, and ejection fraction. ConclusionsAmong patients with LAD CTO, those undergoing robotic-assisted CAB had a higher 5-year overall survival free of MACE compared to those who underwent PCI. This discrepancy in outcomes can be attributed in part to the greater burden of comorbidities among PCI patients.

Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.

Breast cancer (BC) constitutes a significant peril to global women's health. Contemporary research progressively suggests that mitochondrial dysfunction plays a pivotal role in both the inception and advancement of BC. However, investigations delving into the correlation between mitochondrial-related genes (MRGs) and the prognosis and metastasis of BC are still infrequent. Utilizing data from the TCGA database, we employed the "limma" R package for differential expression analysis. Subsequently, both univariate and multivariate Cox regression analyses were executed, alongside LASSO Cox regression analysis, to pinpoint prognostic MRGs and to further develop the prognostic model. External validation (GSE88770 merged GSE425680) and internal validation were further conducted. Our investigation delved into a broad spectrum of analyses that included functional enrichment, metabolic and immune characteristics, immunotherapy response prediction, intratumor heterogeneity (ITH), mutation, tumor mutational burden (TMB), microsatellite instability (MSI), cellular stemness, single-cell, and drug sensitivity analysis. We validated the protein and mRNA expressions of prognostic MRGs in tissues and cell lines through immunohistochemistry and qRT-PCR. Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. The division between training and validation cohorts was set at 70% and 30%, respectively. A prognostic model was constructed by 9 prognostic MRGs, which were DCTPP1, FEZ1, KMO, NME3, CCR7, ISOC2, STAR, COMTD1, and ESR2. Patients within the high-risk group experienced more adverse outcomes than their counterparts in the low-risk group. The ROC curves and constructed nomogram showed that the model exhibited an excellent ability to predict overall survival (OS) for patients and the risk score was identified as an independent prognostic factor. The functional enrichment analysis showed a strong correlation between metabolic progression and MRGs. Additional research revealed that the discrepancies in outcomes between the two risk categories may be attributed to a variety of metabolic and immune characteristics, as well as differences in intratumor heterogeneity (ITH), tumor mutational burden (TMB), and cancer stemness indices. ITH, TIDE, and IPS analyses suggested that patients possessing a low-risk score may exhibit enhanced responsiveness to immunotherapy. Additionally, distant metastasis models were established by PDK4, NRF1, DCAF8, CHPT1, MARS2 and NAMPT. Among these, the XGBoost model showed the best predicting ability. In conclusion, MRGs significantly influence the prognosis and metastasis of BC. The development of dual clinical prediction models offers crucial insights for tailored and precise therapeutic strategies, and paves the way for exploring new avenues in understanding the pathogenesis of BC.

The Effect of Increasing Aggregation Levels of Electrical Consumption Data on Renewable Energy Community (REC) Analyses

The growing number of renewable energy communities (RECs) exemplifies the potential of citizen-driven actions towards a more sustainable future. However, obtaining hourly measured consumption data from REC members remains challenging, hindering accurate feasibility studies for the development of communities. This study examines the impact of estimating hourly consumption from aggregated data on REC analysis results. A case study with real consumption data from diverse users, representative of a typical community in Tuscany, Italy, was analysed to investigate various influencing factors. Multiple scenarios were simulated: two open-source tools estimated energy production from the community’s PV plants, and two REC configurations were considered—one with consumers and prosumers and another with consumers and a producer (with the same total installed power). Additionally, three locations were evaluated to consider the importance of geographical positioning. The study revealed that the impact of consumption data aggregation is more significant in scenarios with low energy sharing, such as the scenario where prosumers were replaced with a producer. Geographical positioning showed no major discrepancies in energy and economic outcomes, implying that using estimated hourly consumption data from aggregated data has a relevant impact regardless of location. Furthermore, different weather files did not affect the impact of aggregated consumption data.

Coordinated referral and scheduling decisions for specialized healthcare services

This paper studies the coordination of referral and scheduling policies where access to specialized medical services, such as surgical procedures, imaging or other consultations, is managed through a centralized intake system. In this increasingly common mode of operation, a central body makes decisions regarding the allocation of patients between a set of providers, followed by the provider taking control of the scheduling and delivery of the required service. To study the coordination of the allocation and scheduling policies we present a sequential optimization model where both referrer and provider attempt to maximize the proportion of a heterogeneous set of patients receiving treatment within a targeted wait time. Motivated by observations of performance thresholds in queueing systems, we introduce an achievable region model which permits study of providers who vary in ability to coordinate scheduling different patient streams. We characterize optimal referral and scheduling policies for a range of demand patterns and operational abilities. We find that the optimal referral policy can result in large discrepancies in outcomes for different patient types but that the discrepancy in outcomes is muted when operational abilities are higher. In situations where operational abilities are low, it is optimal for the providers to prioritize patients by stream. Low capacity for both providers results in an optimal referral and scheduling policy where certain patients streams are deprioritized and with certainty will not be seen within their wait time targets. We also study the cost of enforcing parity between patient classes and find that the cost is reduced when providers have higher operational abilities. This paper illustrates how operational constraints lead to incentives to prioritize different patient streams. In particular, we show that when operations are challenging, a more hands-on design is required to ensure clinical intake systems maintain equitable access to the service.

Sex-Specific Differences in Cardiovascular Adaptations and Risks in Elite Athletes: Bridging the Gap in Sports Cardiology.

The growing participation of women in competitive sports necessitates a comprehensive understanding of sex-specific cardiovascular adaptations and risks. Historically, research has predominantly focused on male athletes, leaving a gap in knowledge about the unique cardiovascular dynamics of female peers. we hypothesized that female athletes exhibit distinct cardiovascular adaptations and face different risks, influenced by physiological, hormonal, and structural differences. A systematic review of the literature was conducted, analyzing studies on cardiovascular responses and adaptations in athletes. Data were extracted on hemodynamic changes, autonomic and neural reflex regulation, cardiac remodeling, and arrhythmias. Comparative analyses were performed to identify sex-specific patterns and discrepancies in cardiovascular health outcomes. We revealed considerable sex differences in cardiovascular adaptations to athletic training. Female athletes generally have longer QT intervals, greater sinoatrial node automaticity, and enhanced atrioventricular node function compared to males. They also exhibit lower sympathetic activity, lower maximal stroke volumes, and a tendency toward eccentric cardiac remodeling. Conversely, male athletes are more prone to concentric hypertrophy and higher incidences of bradyarrhythmia and accessory pathway arrhythmias. Female athletes are more likely to experience symptomatic atrial fibrillation and face higher procedural complications during catheter ablation. Our findings underscore the necessity for sex-specific approaches in sports cardiology. Recognizing and addressing these differences could enhance performance and reduce adverse cardiac events in athletes. Future research should focus on developing tailored screening, prevention, and treatment strategies to bridge the knowledge gap and promote cardiovascular health in both male and female athletes.

Discerning interrelationships among management accounting systems, organizational variables, and managerial performance

In today’s global market, information plays a determinant role in the competitiveness of business organizations. Information systems have become essential resources in daily management, strategy development, and implementation. In this context, management accounting systems (MAS) have undergone substantial changes to adapt to new technological and environmental realities and have become an increasingly valuable instrument to support managers’ decision-making processes. Nevertheless, managers may not effectively leverage the information provided by MAS to enhance the quality of their decisions and, consequently, their overall performance. Discrepancies in research outcomes suggest a potential oversight in analyzing other organizational variables through which MAS might impact managerial performance. Based on an extensive literature review, we identified a scarcity of recent research focusing on three variables that could potentially mediate the relationship between MAS and managerial performance. These variables are intricately linked to people-oriented aspects and include the accountants’ involvement in strategy formulation, implementation, and monitoring, user satisfaction with the information supplied by MAS, and the decentralization of decision-making processes. To address this gap, we used the finite mixture - partial least squares (FIMIX-PLS) to discern the interrelationships among the variables in the research model. The results highlight how the interaction between firm characteristics can enhance the use of MAS in managers’ decision support and consequently improve their performance. This research provides relevant theoretical contributions to the debate about different organizational environments and their influence on MAS effectiveness. It also offers managerial implications for business organizations that need to design, implement, and use management accounting systems.

Trends in mortality among the geriatric population undergoing Surgical aortic valve replacement (SAVR) and potential racial disparities: a 20-year perspective via the National (Nationwide) Inpatient Sample.

Racial disparities in cardiovascular conditions are well documented. Whether similar race-based discrepancies in health outcomes also exist among elderly patients undergoing surgical aortic valve replacement (SAVR) for aortic stenosis remains understudied. We abstracted data from the National (Nationwide) Inpatient Sample over a 20-year period from 2001 to 2020 using specific ICD-9 and ICD-10 codes. We included patients aged ≥ 60 and ≤ 80 years with races recorded as White, African American, or Hispanic at the time of their hospitalization for surgery. We analyzed and reported the baseline characteristics, risk-adjusted in-hospital mortality, and complications stratified by race. Of 420,181 patients studied, 90.0% identified as White, 4.0% as African American and 6.0% as Hispanic. Despite a decrease in overall in-hospital mortality rates from 3.8% between 2001-2005 to 1.8% between 2016-2020, African Americans had higher odds of all-cause in-hospital deaths compared to Whites (aOR = 1.390, P < 0.001). Additionally, they were more likely to experience cardiogenic shock (aOR = 1.241, P < 0.001) and acute kidney injury (aOR = 1.314, P < 0.001) as well as more likely to require organ support such as IABP use (aOR = 1.336, P < 0.001) or invasive mechanical ventilation (aOR = 1.342, P < 0.001). Interestingly, African Americans were less likely to report events of acute ischemic stroke compared to Whites (aOR = 0.852, P < 0.001). Despite a reassuring reduction in overall in-hospital mortality rates of geriatric patients undergoing SAVR for aortic stenosis, racial disparities in health outcomes remain pervasive with minorities more likely to report higher in-hospital morbidity and mortality.

Substantial discrepancies exist between registered protocol and published manuscript in trials on exercise interventions for chronic low back pain: a metaresearch study

ObjectivesReporting bias, prevalent in biomedical fields, can undermine evidence credibility. Our objective was to evaluate the proportion of discrepancies between registered protocols and published manuscripts in randomized controlled trials (RCTs) on exercise interventions for patients with chronic low back pain (CLBP). Study Design and SettingWe conducted a cross-sectional meta-research study, starting from the 2021 “Exercise therapy for CLBP” Cochrane Review. We selected all RCTs reporting a protocol registration on a primary register of the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) or in ClinicalTrials.gov. We extracted data from both registered protocol and published manuscript of RCTs, collecting recruitment and administrative information (eg, record dates) and details of trial characteristics (eg, outcomes, arms, statistical analysis plan details [SAPs]). Independent pairs of reviewers assessed discrepancies between registered protocol and published manuscript for the reporting of primary and secondary outcomes domains, measurement instruments, time-points, number of arms and SAPs(if attached). Outcome discrepancies were characterized as addition, omission, upgrade or downgrade. ResultsWe included 116 RCTs reporting an available protocol registration. Overall, 100 RCTs (86.2%) distinguished between primary and secondary outcomes. Of these, 39 RCTs (39.0%) reported one or more discrepancies in primary outcomes, and 78 RCTs (78.0%) reported one or more discrepancies in secondary outcomes. Focusing on discrepancies for the primary outcome, 64.5% of added, upgraded or downgraded outcomes favored statistically significant effects. Few RCTs (n = 6) reported discrepancies in the number of arms. SAPs were poorly reported in the registered protocols (n = 3) for being compared to the publications. ConclusionWe found substantial outcome discrepancies comparing registered protocols and published manuscripts in RCTs assessing exercise interventions for patients with CLBP, with some impacting the statistical significance of the effects. Readers are encouraged to approach RCTs results in this field with caution.

To explore the effectiveness of various ecological security pattern construction methods in many growth situations in the future: A case study of the West Liaohe River Basin in Inner Mongolia

The Ecological Security Pattern (ESP) has emerged as a prominent area of focus in global ecosystem research, offering valuable scientific insights for reconciling ecological preservation with economic progress. Understanding the differences among different approaches to constructing ESP serves as a fundamental step in ensuring its efficacy. However, there has been a scarcity of studies that quantitatively assess the disparities in the effectiveness of various ESP construction methods. This study focuses on the West Liaohe River Basin as its research subject. Leveraging remote sensing data alongside county-level statistical information, the study employs three distinct ecological source identification methodologies to establish ESP frameworks. Subsequently, it analyzes the discrepancies in ecological protection outcomes across different ESP construction methods under varying future development scenarios. The findings reveal that the ESP centered around ecosystem services emerges as particularly suited for diverse development scenarios, consistently yielding optimal ecological protection outcomes. Our research not only furnishes a theoretical foundation and practical guidance for ESP development in the West Liaohe River Basin but also offers methodological insights transferrable to other regions.

P-768 Is it time for a consensus on key performance indicators for cycles involving donation and surrogacy?

Abstract Study question As there are no agreed standards for bench marking in cycles involving donation and surrogacy, how do we measure performance for these treatment types? Summary answer Until an international consensus is undertaken, we must define benchmarks using both in-house and published data from the Human Fertilisation and Embryology Authority (HFEA) register. What is known already Treatment cycles involving donor gametes or surrogacy have increased exponentially in recent years (Horsey, 2023; HFEA, 2020). Key performance indicators (KPIs) are critical for monitoring treatment effectiveness and safety. The Vienna Consensus (2017) is the accepted standard against which clinics should measure performance. However, the publication does not include data on cycles involving donation and surrogacy. In the absence of agreed standards, it is difficult for clinics to measure efficacy for these patient groups. Defining benchmarks for such cohorts is particularly challenging as the gametes used in donation and surrogacy treatment types may come from both fertile and sub-fertile populations. Study design, size, duration Retrospective analysis of anonymised United Kingdom (UK) data, published by the HFEA, from 2014 to 2018, was performed. Outcomes for 26290 donor intrauterine insemination (DIUI), 12262 in vitro fertilisation (IVF), 11341 intracytoplasmic sperm injection (ICSI) and 12453 frozen embryo transfer (FET) cycles, all using donor gametes, were included in this study. In cycles where surrogacy was indicated, gamete origin could not be determined, preventing the data from being included in this study. Participants/materials, setting, methods Using the complete HFEA data set, the average live birth rate, for each treatment type (excluding surrogacy), was calculated. This average was considered the target benchmark when comparing the average live birth rates at the clinic. Each quarter, a rolling 12 months of in-house retrospective data was used to assess clinic performance. Warning and action limits were set using standard deviations calculated using the 5 averages obtained from each year of HFEA data included. Main results and the role of chance The average live birth rates determined using the HFEA data, to be used as benchmarks for performance, were as follows; DIUI (13.7%), IVF (42%), ICSI (37%) and FET (36%). It is noteworthy that live birth rates reported by the HFEA were per embryo transfer (ET), rather than per embryo, meaning more than one live birth could be reported per ET. Discrepancies in outcome reporting meant that the national clinical pregnancy rate could not be determined for all treatment types, nor could fertilisation rate. Therefore, the clinic used in-house data to set benchmarks, action, and warning limits for these donor KPIs. Our findings whilst mining the national published data were that no cycle outcomes had been published beyond 2018, meaning these data may not be reflective of current national rates. Also, the national averages calculated will have been affected by individual clinic success rates. Knowing each clinic’s average would create a larger range, from which real world standard deviations could be determined, resulting in more meaningful warning and action limits. Such data was unavailable. The result being that, whilst UK national data is publicly available, it is flawed and insufficient for creating robust benchmarks that clinics can measure themselves against. Limitations, reasons for caution No national data, beyond 2018, is available for use in bench marking. Waiting for live birth data will delay any actions prompted by under-performance. Individual clinic success rate will have impacted the national average. Both fertile and sub-fertile populations will be included in both data sets. Wider implications of the findings The available UK data cannot be used to set robust benchmarks for donor or surrogacy KPIs. Small and new clinics are therefore unable to adequately measure their performance. With the increasing uptake of treatments involving donation and surrogacy, it is time for an international consensus on expected outcomes. Trial registration number not applicable

Impact of Sex on Long-Term Outcomes Following Surgical Aortic Valve Replacement

The impact of sex on outcomes following surgical aortic valve replacement (SAVR) remains unclear. It has been proposed that females experience inferior outcomes, but this has yet to be conclusively established, particularly in the long term. The objective of this study is to identify discrepancies in postoperative outcomes between males and females following SAVR to better inform consideration for surgical intervention. We retrospectively reviewed the outcomes of 4,927 patients who underwent SAVR from 2004 to 2018 at our centre. In total, 531 propensity-matched males and females were included in the final analysis. The primary outcome was mortality at any point during the follow-up period. Secondary outcomes included various measures of postoperative morbidity. Follow-up duration was 15 years. In SAVR all-comers, females experienced inferior short-term mortality, but equivalent mid-term and long-term mortality. Rates of mediastinal bleeding, sternal wound infections, sepsis, heart failure, and pacemaker insertion were all equivalent between the sexes; however, males experienced a higher rate of acute kidney injury and readmission for stroke at the longest follow-up while females experienced a longer intensive care unit and hospital length of stay. In a sub-analysis of isolated SAVR, males and females experienced equivalent early, mid, and late mortality. Of note, a trend towards increased aortic valve reoperation was noted in females at the longest follow-up. Males and females experience equivalent long-term mortality following isolated SAVR. Sex is not an independent risk factor of poor outcomes post-SAVR; however, the increased preoperative risk profile of females requires diligent consideration.

Definitions and assessments of recovery from gambling disorder: A scoping review.

While the concept of recovery is receiving increasing attention in the context of gambling disorder (GD), no consensus has yet been reached regarding its definition. This scoping review aims to map the literature on GD recovery, identify gaps, and provide insights for a more holistic and patient-centred perspective. A systematic search of three databases was conducted (PubMed, PsycINFO, and ScienceDirect). Based on the method by which the results of these studies were produced, the studies included were sorted into four categories (quantitative, instrument validation, qualitative, and mixed studies) and subsequently examined using conceptual analysis. One hundred thirteen articles were included in this research after the screening process. In the quantitative and instrument validation studies, recovery was defined or operationalized in terms of abstinence, the absence of a GD diagnosis, or mild GD severity, or by reference to treatment outcomes or controlled gambling. A meta-synthesis of the results of the qualitative studies revealed four core features of recovery (insight, empowerment and commitment, wellbeing enhancement, and reconsideration of the issue of relapse). Discrepancies in definitions, outcomes, and variables used were evident across studies. Additionally, the quantitative and standardized approaches employed in most studies exhibited severe limitations with regard to defining recovery from the subjective and multidimensional perspectives of people recovering from GD. This lack of definitional clarity emphasizes thenecessity for further qualitative research. This research should encompass multiple stakeholder perspectives to develop a working definition promoting recovery from a holistic, patient-centred, and tailored approach.

Perspective matters: a systematic review of immersive virtual reality to reduce racial prejudice

In the wake of the COVID-19 pandemic and the rise of social justice movements, increased attention has been directed to levels of intergroup tension worldwide. Racial prejudice is one such tension that permeates societies and creates distinct inequalities at all levels of our social ecosystem. Whether these prejudices are present explicitly (directly or consciously) or implicitly (unconsciously or automatically), manipulating body ownership by embodying an avatar of another race using immersive virtual reality (IVR) presents a promising approach to reducing racial bias. Nevertheless, research findings are contradictory, which is possibly attributed to variances in methodological factors across studies. This systematic review, therefore, aimed to identify variables and methodological variations that may underlie the observed discrepancies in study outcomes. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this systematic review encompassed 12 studies that employed IVR and embodiment techniques to investigate racial attitudes. Subsequently, two mini meta-analyses were performed on four and five of these studies, respectively — both of which utilised the Implicit Association Test (IAT) as a metric to gauge these biases. This review demonstrated that IVR allows not only the manipulation of a sense of body ownership but also the investigation of wider social identities. Despite the novelty of IVR as a tool to help understand and possibly reduce racial bias, our review has identified key limitations in the existing literature. Specifically, we found inconsistencies in the measures and IVR equipment and software employed, as well as diversity limitations in demographic characteristics within both the sampled population and the embodiment of avatars. Future studies are needed to address these critical shortcomings. Specific recommendations are suggested, these include: (1) enhancing participant diversity in terms of the sample representation and by integrating ethnically diverse avatars; (2) employing multi-modal methods in assessing embodiment; (3) increasing consistency in the use and administration of implicit and explicit measures of racial prejudice; and (4) implementing consistent approaches in using IVR hardware and software to enhance the realism of the IVR experience.

Impact of Facility Type on Survival in Chronic Myelomonocytic Leukemia: A Propensity Score Matched, National Cancer Database Analysis

BackgroundChronic myelomonocytic leukemia (CMML) is a rare and likely underdiagnosed hematologic malignancy. Due to its rarity and nuances in diagnosis, many patients are referred to tertiary referral centers, although many continue to be cared for in the community setting. Given discrepancies in outcomes based on facility type in related myeloid malignancies, we hypothesized that CMML patients treated at academic centers may have improved survival as compared to patients treated at nonacademic centers (NACs). Patients and MethodsUsing the National Cancer Database (NCDB), we identified 6290 patients with CMML and collected data on demographics, comorbidities, treatment, and survival. We also performed a propensity matched analysis to control for baseline differences. ResultsWe found that patients at academic centers had higher median overall survival (OS) (17.7 months vs 14.7 months) and 5-year OS (19.1% vs 15.3%) than patients at NACs. In addition, patients treated at an academic center were also more likely to receive hematopoietic stem cell transplant as compared to those treated at NACs. Time to treatment initiation was overall similar between academic and NACs. ConclusionOur study of one of the largest available datasets of CMML patients supports the importance of referring CMML patients to academic centers upon diagnosis to optimize outcomes in this rare hematologic malignancy.

Individual participant data analysis comparing acute stroke patients with anterior versus posterior circulation dissections

BackgroundCervical artery dissection (CAD) is a relevant etiology of transient ischemic attacks and strokes. Several trials explored the significance of specific antithrombotic treatments, i.e. oral anticoagulation (OAC) versus antiplatelet treatment (APT), on recurrent ischemic complications and clinical outcomes. As overall incidence rates of complications were low there is still controversy which antithrombotic treatment should be used. However, up to now there has been no systematic investigation among CAD-patients with ischemic stroke specifically comparing clinical course and outcome of patients with anterior versus posterior CAD. MethodsWe performed an individual participant data analysis of patients with CAD and ischemic stroke. Over a five-year period we pooled data from three sites (i.e. West China Hospital, Chengdu, China as well as Erlangen and Giessen University Hospitals, Germany) and enrolled patients with CAD-associated ischemic stroke. Patient demographics, clinical and in-hospital measures as well as radiological data were retrieved from institutional databases. Clinical follow-up was over 6 months and included data on recurrent ischemic strokes and hemorrhages as well as clinical functional outcome assessed by the modified Rankin Scale dichotomized into favourable (mRS=0–2) and unfavourable. ResultsA total of 203 patients with CAD were included of which n=112 had anterior and n=91 had posterior CAD. Patients with posterior CAD were younger (46.0 vs. 41.0 y; p<0.001) than patients with anterior CAD and showed less often arterial hypertension. (42.0 % vs. 28.6 %; p<0.048). Antithrombotic treatment with APT and OAC was similarily distributed among patients with anterior and posterior CAD and not significantly differently related to ischemic or hemorrhagic complications during follow-up (all p=n.s.). Main difference between Chinese and German patients were mode of antithrombotic treatment consisting predominantly of APT in China compared to OAC in Germany. Functional outcome overall was good, yet worse in patients with anterior CAD compared to posterior CAD (80.2 % favorable in anterior CAD vs. 92.2 % in posterior CAD (p=0.014). ConclusionThis study provides evidence that anterior and posterior CAD show baseline imbalances regarding age and comorbidity which may affect clinical outcome. There are no signals of superiority or harm of any specific mode of antithrombotic treatment nor relevant discrepancies in clinical outcome among Chinese and German CAD-associated stroke patients.

The long-term outcome and risk factors of histologic discrepancy between forceps biopsies and endoscopic resections in early gastric cancer: An observational study.

Although endoscopic forceps biopsy is the gold standard for early gastric cancer (EGC) diagnosis, the method can cause endoscopic resection of specimens and histological discrepancies. This study aims to examine the risk factors for histological discrepancies in EGC and long-term clinical outcomes. This retrospective study included patients diagnosed with differentiated-type EGC using forceps biopsy. Patients without histological discrepancies and with undifferentiated types in endoscopic resection histology were categorized into the concordant and discordant groups, respectively. Clinical characteristics and long-term outcomes related to histological discrepancies were analyzed. A total of 957 lesions from 936 patients were enrolled. An overall discrepancy rate of 8.7% was confirmed, with an undifferentiated-type discrepancy of 5.5%. The discordant group showed a higher tendency for lesions to be located in the upper third region, to have whitish discoloration, and to undergo a greater number of biopsies compared with the concordant group. Multivariate analysis confirmed that lesion location in the upper third region (odds ratio [OR]: 2.125; 95% confidence interval [CI]: 1.032-5.277; P = .041) and whitish surface discoloration (OR: 13.615; 95% CI: 6.028-28.728; P = .001) were significantly correlated with histologic discrepancy. Compared with the concordant group, the discordant group had a lower curative resection rate, but no differences were observed in complications, local recurrence, or survival rates. Upper third location and whitish discoloration were risk factors for the histologic discrepancy between differentiated and undifferentiated types in patients with EGC. For curative resections performed in patients with EGC and histologic discrepancies and without additional treatment, careful follow-up is possible.

Controversies and Advances in the Personalized Surgical Treatment of Cervical Cancer.

Cervical cancer represents a global health issue as it is mostly encountered in women of reproductive age, while at the same time, survival outcomes seem to have remained constant during the last two decades. The need to implement fertility-sparing strategies as well as to decrease the morbidity that accompanies radical treatment has been extensively studied. During the last decade, several randomized clinical trials have been released, resulting in significant advances in the surgical treatment of early-stage disease. At the same time, evidence about the surgical treatment of advanced-stage disease as well as recurrent disease has gradually appeared and seems to be promising, thus leading the point forward towards personalized medicine that will remove the surgical barriers that seem concrete in our era. Nevertheless, the discrepancies in perioperative morbidity and survival outcomes that were observed among published studies raise several questions. In the present article, we chose to review the gray fields in the surgical treatment of early-stage and advanced-stage cervical cancer. Studies that are based on strong evidence that support current clinical practice are compared to smaller cohorts that present novel data that may form the basis for future research, and issues that remain poorly explored are discussed in an effort to help establish a consensus for future research development.

Sex Differences, Age, and Burn Size Contribute to Risk of PTSD and Depression After Burn Injury.

The prevalence of psychological symptoms in burn survivors has been well documented; however, the role of biological sex requires further investigation. This study explored sex differences among burn survivors and examined the impact of sex, age, and total body surface area (TBSA) of the burn injury on (1) the risk of developing PTSD and depression and, subsequently, (2) the influence of initial risk on symptom outcomes 30 days post-injury. Participants included 374 adult patients enrolled in the Burn Behavioral Health program at a regional Burn Center. T-tests and chi-square tests were conducted to determine differences between sexes on outcome measures. A path analysis was conducted to evaluate relationships between variables of interest. Findings revealed significant sex discrepancies in risk and symptom outcomes. Compared to men, women reported greater total risk scores of developing PTSD and depression (p = .005) early after their burn injury. A subscale analysis showed that women reported greater risk scores on depression (p < .001), but not on PTSD. Women did not report higher depression scores 30 days post-injury compared to men but did report higher PTSD scores than men (p = .020). When sex, age, and TBSA were included in a path analysis, female sex (p=.001), younger age (p<.001), and larger TBSA of the burn injury (p=.024) were associated with greater risk. Additionally, risk scores significantly predicted PTSD (p<.001) and depression (p<.001) symptoms 30 days post-injury. Our research shows how sex, age, and TBSA affect the risk of PTSD and depression among burn survivors. It underscores the importance of accounting for sex and age differences in mental health risk, especially in women and younger patients. This emphasizes the urgency of early screening and intervention.