Careful Screening Research Articles

Evaluation of Human Papillomavirus in the Semen of Infertile Men and Its Relationship with Semen Quality

Background: The prevalence of human papillomavirus (HPV) infection in infertile men is significantly higher than that in the general population. Nevertheless, it is unclear whether the presence of HPV in semen samples is related to reduced semen quality. Objectives: The present article aims to elucidate the possible association between HPV infection and semen parameters in Iranian infertile men. Methods: This cross-sectional study included semen samples from 140 infertile Iranian male partners of couples seeking fertility assessment. Standard semen analysis was performed. Sperm DNA fragmentation index (DFI), sperm chromatin maturation, anti-sperm antibodies, leukocyte count, fructose concentration, and zinc concentration were also assessed. Nested polymerase chain reaction (PCR) and INNO-LiPA were used to identify HPV DNA sequences in semen samples and to determine HPV genotype, respectively. Independent samples t-tests were used to compare sperm parameters between HPV-positive and HPV-negative groups. Results: Human papillomavirus DNA was detected in 18 (12.85%) out of 140 semen samples (10% high-risk genotypes, 2.14% low-risk genotypes, and one sample was excluded). Our findings revealed that HPV18 was the most prevalent type (8.57%). According to our results, the presence of HPV DNA in semen samples was associated with higher semen anti-sperm antibodies (P = 0.001), higher white blood cell (WBC) counts (P = 0.02), and increased DFI values (P = 0.03). Conclusions: Human papillomavirus -positive patients had higher semen anti-sperm antibodies, semen WBC counts, and sperm DFI values. These results highlight the importance of careful screening for the presence of HPV in semen samples from infertile men. It should also be noted that more studies are required.

Side effects screening and early intervention to impact in quality of life of patients with gynecological cancers (HALIS study)

BackgroundAdvances in the treatment of gynecological cancers have led to increased survival in patients with gynecological cancers. Nevertheless, patients may still experience prevalent long term consequences, including lower limb lymphedema,...

Donor Safety First: Postoperative Hepatectomy Outcomes in Living Liver Donors

Living donor liver transplantation (LDLT) has become a popular treatment option because some countries lack a deceased organ program and the growing demand for liver transplants. Although postoperative outcomes are similar to deceased donor liver transplants, there is still an element of risk to the donor. The Clavien-Dindo classification system has been used to standardize reporting across different institutions and surgeons to categorize surgical outcomes. Between January 1, 2022, and December 31, 2022, 207 living donors underwent hepatectomies at our center. All donors underwent a 3-step process of mandatory screening. Postsurgical complications were classified using the Clavien-Dindo classification. A total of 207 donor hepatectomies for LDLT were performed during our study period. Most donors (92.8%) were aged between 18 and 39 years. The most common type of graft used was a right lobe without the middle hepatic vein (82.6%). Most donors (91.7%) experienced an intraoperative blood loss of ≤500 mL. A total of 140 patients had an ordinary postoperative course. Grade 1 complications were observed in 16.9%, grade 2 in 12.1%, and grade 3 in 3.4% of the remaining patients. No grade 4 or grade 5 (patient death) complications were observed in this cohort. Living donor liver transplantation remains the most practiced liver transplant surgery in Pakistan. Our findings highlight the safety of the LDLT program with minimal risk of significant complications. The study also underscores the importance of careful screening and monitoring of living donors and the need for standardized reporting of surgical outcomes using the Clavien-Dindo classification system.

Framing Security Under Time Pressure: Brand Familiarity Matters for Mobile Application Choices

The current study examined the effects of security score framing, time pressure, and brand familiarity on mobile application choices. Past research has found the framing of safety versus risk scores affects how potential risks for mobile apps are communicated to users. Both time pressure and brand familiarity have been shown to affect consumers’ purchase behaviors but not yet for app-selection decisions. The current study examined the effects of time pressure and brand familiarity on the effectiveness of risk displays (framed as safety or risk) for mobile apps. Participants were shown screenshots of various apps with these factors manipulated, and they were to choose one out of six apps. Our findings indicate that users rely heavily on brand familiarity when choosing apps, which could lead to insecure decisions. Additionally, security scores guided app choices toward more secure apps when framed as safety than when framed as risk, although this advantage was only evident without time pressure and disappeared under time pressure. The design implications call for more careful screening and user education about the potential risks associated familiar apps, as well as the need of new security design solutions to help users under time pressure.

Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart Failure.

Artificial intelligence and machine learning (AI/ML) are playing increasingly important roles, permeating the field of medical devices (MDs). This rapid progress has not yet been matched by the Health Technology Assessment (HTA) process, which still needs to define a common methodology for assessing AI/ML-based MDs. To collect existing evidence from the literature about the methods used to assess AI-based MDs, with a specific focus on those used for the management of heart failure (HF), the International Federation of Medical and Biological Engineering (IFMBE) conducted a scoping meta-review. This manuscript presents the results of this search, which covered the period from January 1974 to October 2022. After careful independent screening, 21 reviews, mainly conducted in North America and Europe, were retained and included. Among the findings were that deep learning is the most commonly utilised method and that electronic health records and registries are among the most prevalent sources of data for AI/ML algorithms. Out of the 21 included reviews, 19 focused on risk prediction and/or the early diagnosis of HF. Furthermore, 10 reviews provided evidence of the impact on the incidence/progression of HF, and 13 on the length of stay. From an HTA perspective, the main areas requiring improvement are the quality assessment of studies on AI/ML (included in 11 out of 21 reviews) and their data sources, as well as the definition of the criteria used to assess the selection of the most appropriate AI/ML algorithm.

Psychometric properties of the Trauma Checklist 2.0 and its predictive utility of felony re-offending among high-risk juvenile offenders

BackgroundIncarcerated youth are characterized by particularly high rates of childhood trauma, a significant risk factor for outcomes including risky behaviors and recidivism. Trauma-based interventions can ameliorate the negative effects of childhood trauma; however, a critical part of success is careful trauma screening. Due to the limitations associated with commonly used self-report trauma assessments, our team developed the Trauma Checklist (TCL), a trained-rater assessment of childhood trauma specifically created for use with forensic populations. The TCL is designed to provide a more comprehensive assessment of trauma, incorporating categories that are of specific relevance for incarcerated individuals (e.g., traumatic loss). Here, we discuss the continued development made to our original trauma assessment and explore the psychometric properties of this expanded assessment (herein termed the TCL 2.0).MethodWe examined relationships between TCL 2.0 scores, measures of psychopathology, and psychopathic traits in a sample of incarcerated male juvenile offenders (n = 237). In addition, we examined whether TCL 2.0 scores were associated with time to felony re-offense via Cox proportional-hazard regression analyses.ResultsWe examined dimensionality of the TCL 2.0 using a principal component analysis (PCA), the results of which were confirmed via exploratory structural equation modeling; the PCA yielded a two-component solution (i.e., PC1 and PC2). We observed that PC1 (Experienced Trauma) scores were positively correlated with mood disorder diagnoses. TCL 2.0 total scores were positively correlated with post-traumatic stress disorder symptomatology and psychopathic traits. Finally, higher PC2 (Community Trauma) scores were associated with faster time to felony re-offending.ConclusionsThese results suggest that the TCL 2.0 may be a beneficial screening tool to provide high-risk youth with appropriate trauma-informed treatment.

A report of five cancer screening rates and the related measures for cancer control in the workplace, surveyed by the Corporate Action to Promote Cancer Control

Most cancer control measures in the workplace have limited supporting evidence. This study aimed to identify highly effective cancer control measures, based on a survey by the Corporate Action to Promote Cancer Control. The firms and organizations that responded to the web survey were included. The questionnaire comprised five cancer (stomach, lung, colorectal, breast, and cervical) screening rates and their countermeasures to promote cancer control. We conducted a non-hierarchical cluster analysis according to the degree of the measures and compared the screening rates among each group using an analysis of variance. Then, we performed two multiple regression analyses with the mean screening rates for stomach/lung/colorectal cancer and breast/cervical cancer as dependent variables, the implementation of each countermeasure as an independent variable, and the size and industry as control variables. We obtained responses from 704 firms and organizations. The three groups classified by cluster analysis were defined as active, moderate, and negative. For all cancer screenings, the main effects were significant, and multiple comparisons revealed that the difference between the active and negative groups (ts > 3.30, ps < 0.01, Hedges' ds > 0.73) and the moderate and negative groups (ts > 3.70, ps < 0.01, Hedges' ds > 0.88) were significant. For the four cancers other than lung, the difference between the active and moderate groups was not significant (ts < 0.21, ps < 0.84, Hedges' ds < 0.02), and for lung, the difference was significant, but the effect size was small. The multiple regression analyses revealed that "distribution of colorectal cancer test kits to all subjects" (β = 0.14) was significant for stomach, lung, and colorectal cancer, while "financial supports for cancer screening" (β = 0.24), "screening as part of employment" (β = 0.18), and "careful screening of female subjects" (β = 0.17) were significant for breast and cervical cancer, respectively. We identified effective countermeasures for cancer control in the workplace, and these measures will help increase cancer screening rates.

Community-Based Diabetes Awareness Strategy With Detection and Intervention: The Mobile Diabetes Education Center.

To prevent diabetes and increase equitable access to health care screenings, Touro University California has created and implemented a community outreach program called the Mobile Diabetes Education Center (MOBEC). This program is a joint effort that also involves Sutter Health, the California Department of Public Health, Kaiser Permanente, the Solano County Department of Public Health, and community-based organizations, focusing on advancing health equity in Solano County's at-risk populations. This article reports on the services and initial successes of MOBEC. With its strong community collaboration, MOBEC has helped to raise awareness of diabetes and ensure access to much-needed health screenings and education. This model can potentially be used as a blueprint for similar efforts nationwide to address the health care needs of medically underserved communities.

Artificial Intelligence Advances in Transplant Pathology.

Transplant pathology plays a critical role in ensuring that transplanted organs function properly and the immune systems of the recipients do not reject them. To improve outcomes for transplant recipients, accurate diagnosis and timely treatment are essential. Recent advances in artificial intelligence (AI)-empowered digital pathology could help monitor allograft rejection and weaning of immunosuppressive drugs. To explore the role of AI in transplant pathology, we conducted a systematic search of electronic databases from January 2010 to April 2023. The PRISMA checklist was used as a guide for screening article titles, abstracts, and full texts, and we selected articles that met our inclusion criteria. Through this search, we identified 68 articles from multiple databases. After careful screening, only 14 articles were included based on title and abstract. Our review focuses on the AI approaches applied to four transplant organs: heart, lungs, liver, and kidneys. Specifically, we found that several deep learning-based AI models have been developed to analyze digital pathology slides of biopsy specimens from transplant organs. The use of AI models could improve clinicians' decision-making capabilities and reduce diagnostic variability. In conclusion, our review highlights the advancements and limitations of AI in transplant pathology. We believe that these AI technologies have the potential to significantly improve transplant outcomes and pave the way for future advancements in this field.

Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments

Current animal protection laws require replacement of animal experiments with alternative methods, whenever such methods are suitable to reach the intended scientific objective. However, searching for alternative methods in the scientific literature is a time-consuming task that requires careful screening of an enormously large number of experimental biomedical publications. The identification of potentially relevant methods, e.g. organ or cell culture models, or computer simulations, can be supported with text mining tools specifically built for this purpose. Such tools are trained (or fine tuned) on relevant data sets labeled by human experts. We developed the GoldHamster corpus, composed of 1,600 PubMed (Medline) articles (titles and abstracts), in which we manually identified the used experimental model according to a set of eight labels, namely: “in vivo”, “organs”, “primary cells”, “immortal cell lines”, “invertebrates”, “humans”, “in silico” and “other” (models). We recruited 13 annotators with expertise in the biomedical domain and assigned each article to two individuals. Four additional rounds of annotation aimed at improving the quality of the annotations with disagreements in the first round. Furthermore, we conducted various machine learning experiments based on supervised learning to evaluate the corpus for our classification task. We obtained more than 7,000 document-level annotations for the above labels. After the first round of annotation, the inter-annotator agreement (kappa coefficient) varied among labels, and ranged from 0.42 (for “others”) to 0.82 (for “invertebrates”), with an overall score of 0.62. All disagreements were resolved in the subsequent rounds of annotation. The best-performing machine learning experiment used the PubMedBERT pre-trained model with fine-tuning to our corpus, which gained an overall f-score of 0.83. We obtained a corpus with high agreement for all labels, and our evaluation demonstrated that our corpus is suitable for training reliable predictive models for automatic classification of biomedical literature according to the used experimental models. Our SMAFIRA - “Smart feature-based interactive” - search tool (https://smafira.bf3r.de) will employ this classifier for supporting the retrieval of alternative methods to animal experiments. The corpus is available for download (https://doi.org/10.5281/zenodo.7152295), as well as the source code (https://github.com/mariananeves/goldhamster) and the model (https://huggingface.co/SMAFIRA/goldhamster).

Perspectives of patients undergoing neoadjuvant chemotherapy for breast cancer during the COVID-19 pandemic.

The COVID-19 pandemic resulted in a lapse in routine health care and cancer screenings for many individuals. This study sought to improve our understanding of the impact of the COVID-19 pandemic on women being treated for breast cancer, both in general, and specifically related to their diagnosis. Semi-structured interviews were conducted between August 2021 and February 2022 with women who were receiving neoadjuvant chemotherapy for early-stage breast cancer at the Stefanie Spielman Comprehensive Breast Center in Columbus, Ohio. Interviews were recorded and transcribed verbatim. Transcripts were coded using deductive dominant thematic analysis and inductive coding that allowed for categorization of data as well as identification of emergent themes. Data collected from our 19 interviews revealed that the COVID-19 pandemic posed important challenges for breast cancer patients including fear of COVID-19 infection and feelings of isolation. Most interviewees noted they had been vaccinated against COVID-19 because of a desire to protect themselves and others from getting sick. Some women also expressed concerns about having delayed their screening mammograms due to the pandemic. Several patients described unexpected positive aspects of the pandemic such as being able to spend more time with family and having the ability to continue working because of the option to work from home during their cancer treatment. Our findings provide important insight about the impact of COVID-19 on breast cancer patients. We highlight the positives that have been reported because of the pandemic, as well as the need to address delayed breast cancer screening.

Antitumor effect of anti-vascular therapy with STING agonist depends on the tumor microenvironment context.

Targeting tumor vasculature is an efficient weapon to fight against cancer; however, activation of alternative pathways to rebuild the disrupted vasculature leads to rapid tumor regrowth. Immunotherapy that exploits host immune cells to elicit and sustain potent antitumor response has emerged as one of the most promising tools for cancer treatment, yet many treatments fail due to developed resistance mechanisms. Therefore, our aim was to examine whether combination of immunotherapy and anti-vascular treatment will succeed in poorly immunogenic, difficult-to-treat melanoma and triple-negative breast tumor models. Our study was performed on B16-F10 melanoma and 4T1 breast tumor murine models. Mice were treated with the stimulator of interferon genes (STING) pathway agonist (cGAMP) and vascular disrupting agent combretastatin A4 phosphate (CA4P). Tumor growth was monitored. The tumor microenvironment (TME) was comprehensively investigated using multiplex immunofluorescence and flow cytometry. We also examined if such designed therapy sensitizes investigated tumor models to an immune checkpoint inhibitor (anti-PD-1). The use of STING agonist cGAMP as monotherapy was insufficient to effectively inhibit tumor growth due to low levels of STING protein in 4T1 tumors. However, when additionally combined with an anti-vascular agent, a significant therapeutic effect was obtained. In this model, the obtained effect was related to the TME polarization and the stimulation of the innate immune response, especially activation of NK cells. Combination therapy was unable to activate CD8+ T cells. Due to the lack of PD-1 upregulation, no improved therapeutic effect was observed when additionally combined with the anti-PD-1 inhibitor. In B16-F10 tumors, highly abundant in STING protein, cGAMP as monotherapy was sufficient to induce potent antitumor response. In this model, the therapeutic effect was due to the infiltration of the TME with activated NK cells. cGAMP also caused the infiltration of CD8+PD-1+ T cells into the TME; hence, additional benefits of using the PD-1 inhibitor were observed. The study provides preclinical evidence for a great influence of the TME on the outcome of applied therapy, including immune cell contribution and ICI responsiveness. We pointed the need of careful TME screening prior to antitumor treatments to achieve satisfactory results.

Development of the Edinburgh Postnatal Depression Scale-United States: An Updated Perinatal Mental Health Screening Tool Using a Respectful Care and Trauma-Informed Approach.

Purpose: To present the development protocol of the Edinburgh Postnatal Depression Scale-United States (EPDS-US), an adapted version of the EPDS, that is inclusive and easy to understand for U.S. populations and incorporates a trauma-informed approach to perinatal mental health (PMH). Methods: Our team adapted the wording of the original EPDS to be more linguistically appropriate for current use with U.S. populations by incorporating principles from Trauma-Informed Care and the Cycle to Respectful Care. Results: Through small but impactful linguistic updates, the EPDS-US offers inclusive person-first language and eliminates confusing phrases or wording that may be perceived as judgmental. The goal of the adapted EPDS-US is to foster symptom disclosure in an environment of safety and trust. The EPDS-US removes preidentified barriers patients experience related to PMH screenings. Conclusions: The EPDS-US, a trauma-informed and respectful care screening tool, may lead to earlier recognition of symptoms, may allow for more person-focused treatment plans, and may serve as a platform for a culture change in addressing PMH, particularly when the screening tool is accompanied by open conversation, education, and resources. Validation studies are required at this time and this team welcomes direct communication with research and clinical sites interested in doing so.

Knowledge of Diabetic Retinopathy among Primary Care Nurses Performing Fundus Photography and Agreement with Ophthalmologists on Screening.

Diabetic retinopathy (DR) is one of the complications of diabetes mellitus (DM), with macular oedema being one of the leading causes of avoidable blindness among individuals with DM worldwide. Fundus screening is the only method for early detection and treatment. High-quality training programmes for professionals performing primary care screening are essential to produce high-quality images that facilitate accurate lesion identification. This is a two-phase observational, descriptive, and cross-sectional study. The first phase analysed DR knowledge in a sample of nurses. The second phase explored agreement on DR screening between referral ophthalmologists in image assessment (gold standard) and a small group of nurses involved in the previous phase. In phase 1, the agreement rate for screening results was 90%. In phase 2, the overall raw agreement on the screening of fundus photography results between nurses and ophthalmologists was 75% (Cohen's kappa = 0.477; p < 0.001). Agreement on screening with ophthalmologists was moderate, suggesting that implementing a specific training programme for nurse-led imaging screening would help develop this competence among nurses, ensuring a good level of agreement and patient safety and adding value for users, and also for the sustainability of the healthcare system. This study was not registered.

Mapping the clinical care pathways for advanced stage non-small cell lung cancer patients in Victoria: A retrospective cohort study of supportive and palliative care.

The lung cancer Optimal Care Pathway recommends supportive care and palliative care integration throughout its various steps, with early referral to appropriate services improving the quality of life in advanced stage non-small cell lung cancer patients. Using Victorian Lung Cancer Registry data and linked administrative datasets, this retrospective cohort study mapped clinical care pathways of 525 Stage III-IV non-small cell lung cancer patients in Victoria to 11 recommendations in the Optimal Care Pathway, identifying unwarranted variations in clinical care. Supportive care and palliative care delivery were further examined to understand the involvement and timing of specialist care teams. Our findings showed that palliative care utilization is highest at the time of treatment, despite recommendations that it should be provided early after diagnosis to improve patient outcomes and satisfaction. Early supportive care screening was observed in half the cohort and almost three-quarters of the patients had been presented at a multidisciplinary meeting. Multidisciplinary meeting presentations and supportive care provide an opportunity to improve communication about palliative care needs and integration into routine clinical practice, such as at the time of treatment planning.

Assessment of dynapenia and undernutrition in primary care, a systematic screening study in community medicine

To analyze the prevalence of decreased muscle strength (dynapenia) in patients aged 18 to 74 in community medicine, as measured in the general practitioner's office, and to assess the prevalence of undernutrition in this population. Muscle strength was measured with a Hand Grip (HG) dynamometer according to European recommended thresholds and French guidelines. Malnutrition was defined according to the GLIM criteria. Of 341 patients, 303 were evaluated (89%): mean age was 47.8±17.4 years, including 51.2% women, 103 with an acute disease (AD) and 200 with a chronic disease (CD). 23.5% were below the 10th percentile threshold in the CD group and 19.4% in the AD group. For these patients, muscle age, evaluated on the median values for age, was higher by 39.3±15.2 years for men and by 41.5±13.6 years for women. Maximum HG values were significantly correlated with changes in International Physical Activity Questionnaire (IPAQ) score (F=10.22; p=0.0017) and weight changes (%) (F=5.30; p=0.0227) in women only, regardless of age, BMI, disease, professional status or type of work (manual or not); 19.1% suffered from malnutrition (10.9% Stage 1 and 8.3% Stage 2), with 20.0% in the CD group and 17.4% in the AD group. This study highlights the feasibility of screening for sarcopenia in primary care community medicine. The prevalence of dynapenia in the studied population (nearly one in 5 patients) and the observed higher-than-expected undernutrition (17.5%) justify their screening for appropriate management care. NCT04451694; referred to as "observational research", "non-interventional", or « non-RIPH ».

Association of delayed diagnosis of pulmonary arterial hypertension with its prognosis

BackgroundCurrently, pulmonary hypertension-targeted therapy has been shown to improve the survival of patients with pulmonary artery hypertension (PAH). However, the importance of early diagnosis has not been investigated. Therefore, this study aimed to investigate whether a delayed diagnosis of PAH is associated with its prognosis. Methods and resultsA total of 66 consecutive untreated patients were diagnosed with PAH from January 2008 to December 2021 at the Kagoshima University Hospital. The time from symptom onset to diagnosis correlated with brain natriuretic peptide levels (p < 0.001), right ventricle (RV) Tei index (p < 0.001), and the tricuspid annular plane systolic excursion/systolic pulmonary artery pressure ratio (p = 0.003). These findings suggest that in patients with PAH, RV function declines with increasing time from symptom onset to diagnosis. Furthermore, older patients with PAH appeared to have a longer time from symptom onset to diagnosis. Next, patients were divided into delayed diagnosis (>3 months) and early diagnosis (≤3 months) groups based on the time from symptom onset to diagnosis. Patients were categorized into three groups according to the European Society of Cardiology (or the European Respiratory Society) risk stratification guidelines. Patients diagnosed with PAH within 3 months of symptom onset were significantly in the low- or intermediate-risk groups (p < 0.001). A Kaplan-Meier analysis revealed that the cumulative event-free rate was significantly lower (p < 0.01) in the delayed diagnosis group than in the early diagnosis group. A delayed diagnosis was significantly associated with a worse outcome than an early diagnosis, after adjusting for different sets of confounding factors. ConclusionsA delayed PAH diagnosis is associated with a poor prognosis. Early diagnosis of PAH may lead to a low-risk treatment. Furthermore, older patients need more careful screening for PAH.

Assessing Adherence to Clinical Practice Guidelines Among Primary Care Physicians in Bahrain: A Cross-sectional Study.

To assess the adherence to clinical practice guidelines (CPGs) and explore the barriers to their implementation among primary care physicians (PCPs) in Bahrain. A cross-sectional study was conducted using an online survey among physicians working in 20 randomly selected public sector primary health centers in Bahrain. Private-sector physicians and family medicine residents were excluded. Outcome measures were assessing the extent of adherence to CPGs, describing the results in association with work roles, gender, level of formal training, and years of working experience, and investigating the barriers to adhering to CPGs. The subjects were 149 PCPs (consultants, specialists, and general practitioners) working in government primary health centers. The vast majority (98.0%) reported that they implemented CPGs in their daily practice. The most commonly cited reason (79.2%) for implementation was that the CPGs were evidence-based. The most implemented guidelines pertained to diabetes (91.3%), hypertension (81.2%), and hyperlipidemia (69.8%). The least implemented ones were screening of women (38.9%) and postnatal care (45.6%). The level of formal medical training was associated with the implementation of CPGs on preventive care, antenatal and postnatal care, and children and women screening (p < 0.05). Hypertension and bronchial asthma guidelines were implemented more by male physicians (p < 0.05) while female physicians were more adherent to CPGs on antenatal and postnatal care, and women and child screening (p < 0.05). The main barrier reported by the physicians was that they wished to know more about CPGs before applying them (mean ± SD = 3.8 ± 0.9). The perception that managers or directors are non-cooperative towards the application of CPGs was associated with years of experience (p = 0.008) and the position of the physician (p = 0.028). General practitioners were more likely to consider non-cooperation from patients as a barrier (p = 0.025). Most PCPs in Bahrain are adherent to CPGs in their daily practice and encounter minimal barriers. Identifying and resolving barriers can help develop unified and standardized guidelines that promote better consistency in patient management, minimize medical errors, and conserve resources.

Diabetes mellitus and cancer

Diabetes mellitus and cancer are the most common life-threatening illnesses worldwide. Previous epidemiological studies have suggested a strong association between diabetes mellitus and an increased risk of cancer. Potential biological mechanisms underlying this relationship include obesity, hyperglycemia, hyperinsulinemia, chronic inflammation, and oxidative stress. The most common diabetes-related cancers are pancreatic, hepatocellular, breast, endometrial, and colorectal cancer. Special attention should be paid to patients with diabetes through careful cancer screening and preventive anticancer strategies.

SARS-CoV-2 and Its Bacterial Co- or Super-Infections Synergize to Trigger COVID-19 Autoimmune Cardiopathies.

Autoimmune cardiopathies (AC) following COVID-19 and vaccination against SARS-CoV-2 occur at significant rates but are of unknown etiology. This study investigated the possible roles of viral and bacterial mimicry, as well as viral-bacterial co-infections, as possible inducers of COVID-19 AC using proteomic methods and enzyme-linked immunoadsorption assays. BLAST and LALIGN results of this study demonstrate that SARS-CoV-2 shares a significantly greater number of high quality similarities to some cardiac protein compared with other viruses; that bacteria such as Streptococci, Staphylococci and Enterococci also display very significant similarities to cardiac proteins but to a different set than SARS-CoV-2; that the importance of these similarities is largely validated by ELISA experiments demonstrating that polyclonal antibodies against SARS-CoV-2 and COVID-19-associated bacteria recognize cardiac proteins with high affinity; that to account for the range of cardiac proteins targeted by autoantibodies in COVID-19-associated autoimmune myocarditis, both viral and bacterial triggers are probably required; that the targets of the viral and bacterial antibodies are often molecularly complementary antigens such as actin and myosin, laminin and collagen, or creatine kinase and pyruvate kinase, that are known to bind to each other; and that the corresponding viral and bacterial antibodies recognizing these complementary antigens also bind to each other with high affinity as if they have an idiotype-anti-idiotype relationship. These results suggest that AC results from SARS-CoV-2 infections or vaccination complicated by bacterial infections. Vaccination against some of these bacterial infections, such as Streptococci and Haemophilus, may therefore decrease AC risk, as may the appropriate and timely use of antibiotics among COVID-19 patients and careful screening of vaccinees for signs of infection such as fever, diarrhea, infected wounds, gum disease, etc.