Budget impact analysis of introducing digital breast tomosynthesis in breast cancer screening in Italy.

PURPOSE: This study quantifies the impact on budget and cost per health benefit of implementing digital breast tomosynthesis (DBT) in place of digital mammography (DM) for breast cancer screening among asymptomatic women in Italy. METHODS: A budget impact analysis and a cost consequence analysis were conducted using parameters from the MAITA project and literature. The study considered four scenarios for DBT implementation, i.e., DBT for all women, DBT for women aged 45-49 years, DBT based on breast density (BI-RADS C + D or D only), and compared these to the current DM screening. Healthcare provider's perspective was adopted, including screening, diagnosis, and cancer treatment costs. RESULTS: Introducing DBT for all women would increase overall screening costs by 20%. Targeting DBT to women aged 45-49 years or with dense breasts would result in smaller cost increases (3.2% for age-based and 1.4-10.7% for density-based scenarios). The cost per avoided interval cancer was significantly higher when DBT was applied to all women compared to targeted approaches. The cost per gained early-detected cancer slightly increases in targeted approaches, while the assumptions on the clinical significance and overdiagnosis of cancers detected by DBT and not by DM have a strong impact. CONCLUSIONS: Implementing DBT as a primary breast cancer test in screening programs in Italy would lead to a substantial increase in costs. Tailoring DBT use to women aged 45-49 or with dense breasts could enhance the feasibility and sustainability of the intervention. Further research is needed to clarify the impact of DBT on overdiagnosis and the long-term outcomes.

Data-driven rapid detection of Helicobacter pylori infection through machine learning with limited laboratory parameters in Chinese primary clinics.

Background: Helicobacter pylori (H. pylori) is a significant global health concern, posing a high risk for gastric cancer. Conventional diagnostic and screening approaches are inaccessible, invasive, inaccurate, time-consuming, and expensive in primary clinics. Objective: This study aims to apply machine learning (ML) models to detect H. pylori infection using limited laboratory parameters from routine blood tests and to investigate the association of these biomarkers with clinical outcomes in primary clinics. Methods: A retrospective analysis with three ML and five ensemble models was conducted on 1409 adults from Hubei Provincial Hospital of Traditional Chinese Medicine. evaluating twenty-three blood test parameters and using the C 14 urea breath test as the gold standard for diagnosing H. pylori infection. Results: In our comparative study employing three different feature selection strategies, Random Forest (RF) model exhibited superior performance over other ML and ensemble models. Multiple evaluation metrics underscored the optimal performance of the RF model (ROC = 0.951, sensitivity = 0.882, specificity = 0.906, F1 = 0.906, accuracy = 0.894, PPV = 0.908, NPV = 0.880) without feature selection. Key biomarkers identified through importance ranking and shapley additive Explanations (SHAP) analysis using the RF model without feature selection include White Blood Cell Count (WBC), Mean Platelet Volume (MPV), Hemoglobin (Hb), Red Blood Cell Count (RBC), Platelet Crit (PCT), and Platelet Count (PLC). These biomarkers were found to be significantly associated with the presence of H. pylori infection, reflecting the immune response and inflammation levels. Conclusion: Abnormalities in key biomarkers could prompt clinical workers to consider H. pylori infection. The RF model effectively identifies H. pylori infection using routine blood tests, offering potential for clinical application in primary clinics. This ML approach can enhance diagnosis and screening, reducing medical burdens and reliance on invasive diagnostics.

Enhancing Familial Hypercholesterolemia Detection in South Korea: A Targeted Screening Approach Integrating National Program and Genetic Cascade Screening.

BACKGROUND AND OBJECTIVES: Familial hypercholesterolemia (FH) increases the risk of premature cardiovascular disease through disrupted low-density lipoprotein cholesterol (LDL-C) metabolism. Although FH is a severe condition, it remains widely underdiagnosed, which can be attributed to barriers in genetic testing and a lack of awareness. This study aims to propose and evaluate a targeted screening program for FH in South Korea by integrating the General Health Screening Program (GHSP) with cascade genetic screening. METHODS: The study included individuals with LDL-C levels ≥190 mg/dL identified during the 2021 GHSP (primary participants). Data on demographics, lifestyle, medical history, and family history were collected through questionnaires. Targeted next-generation sequencing was used to identify pathogenic mutations in the PCSK9, APOB, LDLRAP1, and LDLR genes associated with FH. Pathogenic mutations found in primary participants were confirmed in their relatives (secondary participants) using Sanger sequencing. Participant characteristics were analyzed based on the presence of pathogenic mutations. RESULTS: Among 83 individuals with severe hypercholesterolemia identified through the GHSP, 7 primary participants (8.4%) carried pathogenic mutations in the LDLR and PCSK9 genes. In secondary participants, pathogenic mutations were identified in 61.1% of the relatives of 4 patients with pathogenic mutations. The prevalence of pathogenic mutations was significantly higher in primary participants compared to secondary participants. CONCLUSIONS: Integrating community resources with FH screening can enhance the early detection and treatment of FH. By utilizing GHSP data and adding genetic screening, the proposed model provides a strategy to reduce the cardiovascular risks associated with FH, supporting its wider adoption at the national level.

Initial interpretation scores of screening mammograms and cancer detection in BreastScreen Norway.

PURPOSE: To explore the association between radiologists' interpretation scores, early performance measures and cumulative reading volume in mammographic screening. METHOD: We analyzed 1,689,731 screening examinations (3,379,462 breasts) from BreastScreen Norway 2012-2020, all breasts scored 1-5 by two independent radiologists. Score 1 was considered negative/benign and score ≥2 positive in this scoring system. We performed descriptive analyses of recall, screen-detected cancer, positive predictive value (PPV) 1, mammographic features and histopathological characteristics by breast-based interpretation scores, and cumulative reading volume by examination-based interpretation scores. RESULTS: Counting breasts and not women, 3.9 % (132,570/3,379,462) had a score of ≥2 by one or both radiologists. Of these, 84.8 % (112,440/132,570) were given a maximum score 2. Total recall rate was 1.6 % (53,735/3,379,462), 69.3 % (37,220/53,735) given maximum score 2. Among the 0.3 % (9733/3,379,462) diagnosed with screen-detected cancer, 34.6 % (3369/9733) had maximum score 3. The percentages of recall, screen-detected cancer and PPV-1 increased by increasing the sum of scores assigned by two radiologists (p < 0.001 for trend). Higher proportions of masses were observed among recalls and screen-detected cancers with low scores, and higher proportions of spiculated masses were observed for high scores (p < 0.001). Proportions of invasive carcinoma, histological grade 3 and lymph node positive tumors were higher for high versus low scores (p < 0.001). The proportion of examinations scored 1 increased by cumulative reading volume. CONCLUSIONS: We observed higher rates of recall and screen-detected cancer and less favorable histopathological tumor characteristics for high versus low interpretation scores. However, a considerable number of recalls and screen-detected cancers had low interpretation scores.

Delayed diagnosis and missed opportunities in the early detection of atrial fibrillation: a cross-sectional study.

INTRODUCTION: We analysed the frequency of atrial fibrillation (AF) delayed diagnosis and the factors associated with it in newly diagnosed patients. METHODS: This was a descriptive, cross-sectional, multicentre study. Data were collected from newly diagnosed patients with AF through medical records review and interviews during cardiology, internal medicine, primary care and emergency department consultations in Spain. RESULTS: A total of 201 physicians participated in the study (64.2% cardiologists, 21.4% internists). 948 patients (58% men; mean age 72.8 years) were included. In 41.8% of patients, AF was classified as paroxysmal at diagnosis, 30.9% as persistent and 27.3% as permanent. The diagnosis was coincidental in 37%. It was considered that a delayed diagnosis occurred in 49.3% of patients. This delay was associated with the presence of permanent or persistent AF, older age or valvular disease. 74.8% of patients had some contact with the healthcare system in the preceding year. The diagnosis could have been established between 1-6 months earlier in 50.7% of cases and more than six months earlier in 20.1%. 54.4% of the patients had experienced AF compatible symptomatology previously. Of these, 32.6% had a consultation without a diagnosis. CONCLUSIONS: In a significant proportion of AF cases, there is a diagnostic delay. Many people with compatible symptoms neither seek consultations nor contact the healthcare system facilities. Consequently, the opportunity for early diagnosis is lost.

Longitudinal screening adherence in the Australian National Bowel Cancer Screening Program from 2006 to 2022.

OBJECTIVE: Australia's National Bowel Cancer Screening Program (NBCSP) offers two-yearly screening to 50-74-year-olds for the prevention and early detection of colorectal cancer (CRC). Internationally, detailed reporting of participation across multiple screening rounds - also known as longitudinal adherence - is becoming more common, but remains limited in Australia. We described the longitudinal screening adherence of individuals by age and sex invited to the NBCSP at least once, and quantified longitudinal adherence among individuals who received four NBCSP invitations. METHODS: We obtained aggregate national data for individuals who received at least one NBCSP invitation between 1 August 2006 and 31 March 2022. We described screening adherence patterns including longitudinal adherence among individuals who received four invitations, and evaluated prior longitudinal adherence and adherence at most recent invitation as predictors of future participation. RESULTS: Over the study period, 8.5 million individuals were invited to screen in the NBCSP; 51.9% of these individuals screened at least once. Of the >2.5 million individuals who received four invitations, 23.3% consistently screened, 38.3% never screened, and 38.3% inconsistently screened. The longitudinal adherence at the fourth invitation round for individuals who previously returned none, one, two, or three of their previous three invitations was 9.5%, 37.4%, 70.1% and 88.8%, respectively. Both longitudinal adherence and adherence at the most recent invitation were significant predictors of future participation. CONCLUSION: Our study is the first detailed report of longitudinal adherence to the NBCSP in >2 screening rounds. These insights into long-term behaviours can inform planning for interventions to improve screening participation.

Colonoscopy Quality Measures and Adherence to Follow-up Guidelines Among Endoscopists Participating in a United States Endoscopy Registry.

BACKGROUND AND AIMS: Colonoscopy screening can substantially reduce colorectal cancer incidence and mortality. Colonoscopies may achieve maximum benefit when they are performed with high quality and accompanied by follow-up recommendations that adhere to clinical guidelines. This study aimed to determine to what extent endoscopists met targets for colonoscopy quality from 2016 through 2019 (the most recent years prior to the COVID-19 pandemic). METHODS: We examined measures of colonoscopy quality and recommended follow-up intervals in the GI Quality Improvement Consortium, a large nationwide endoscopy registry. The analysis included over 2.5 million outpatient screening colonoscopies in average risk adults aged 50-75 years. RESULTS: At least 90% of endoscopists met performance targets for adequate bowel preparation, cecal intubation rate, and adenoma detection rate. However, nonadherence to guidelines for follow-up intervals was common. For patients with no colonoscopy findings, 12.0% received a follow-up interval recommendation of ≤5 years instead of the guideline-recommended 10 years. For patients with 1-2 small tubular adenomas, 13.5% received a follow-up interval recommendation of ≤3 years instead of the guideline-recommended 5-10 years. For patients with small sessile serrated polyps, 30.7% received a follow-up interval recommendation of ≤3 years instead of the guideline-recommended 5 years. Some patients with higher risk findings received a follow-up interval recommendation of ≥5 years instead of the guideline-recommended 3 years, including 18.2% of patients with advanced serrated lesions. CONCLUSIONS: Additional attention may be needed to achieve more consistent adherence to guidelines for colonoscopy follow-up recommendations.

Trends in Cancer-screening Rates in Korea: Findings from the National Cancer Screening Survey, 2004-2023.

Purpose: This study aimed to report the overall national trends in the rates of cancer screening based on recommendations and provide insights into the changing trends of these rates across different demographics. Materials and Methods: This study used data from the Korean National Cancer Screening Survey (KNCSS), which surveys nationwide cancer-screening rates and includes 4,500 individuals meeting the Korean National Cancer Screening Program (NCSP) protocol age criteria. Cancer-screening rates were assessed using structured questionnaires; yearly trends were analyzed for both lifetime cancer-screening rates and rates of screening based on recommendations, and subgroup analyses were performed based on age and sex. Results: The rates of cancer screening based on recommendations showed significant increments: the stomach cancer-screening rate increased from 39.2% in 2004 to 77.5% in 2023 (3.50% per year), the liver cancer-screening rate increased from 20.0% to 48.8% (4.30% per year), and the colorectal cancer, increased from 19.9% to 70.7% (5.15% per year). The breast cancer-screening rate increased from 33.2% to 72.7% (2.88% per year), and the cervical cancer, increased from 58.3% to 70.2% (1.08% per year). Despite some differences, particularly in relation to sociodemographic factors, screening rates increased significantly for all cancer types. Conclusion: Cancer-screening rates in Korea increased consistently from 2004 to 2023, demonstrating the effectiveness of the national cancer-screening program. However, the increments in breast, cervical and lung cancer-screening rates were relatively lower, indicating the need for additional efforts and strategies.

Methodological Considerations in Evaluating Breast Cancer Screening Studies.

In evidence-based medicine frameworks, the highest level of evidence is derived from quantitative synthesis of double-masked, high-quality, randomly assigned controlled trials. Meta-analyses of randomly assigned controlled trials have demonstrated that screening mammography reduces breast cancer deaths. In the United States, every major guideline-producing organization has recommended screening mammography in average-risk women; however, there are controversies about age and frequency. Carefully controlled observational research studies and statistical modeling studies can address evidence gaps and inform evidence-based, contemporary screening practices. As breast imaging radiologists develop and evaluate existing and new screening tests and technologies, they will need to understand the key methodological considerations and scientific criteria used by policy makers and health service researchers to support dissemination and implementation of evidence-based screening tests. The Wilson and Jungner principles and the U.S. Preventive Services Task Force general analytic framework provide structured evaluations of the effectiveness of screening tests. Key considerations in both frameworks include public health significance, natural history of disease, cost-effectiveness, and characteristics of screening tests and treatments. Rigorous evaluation of screening tests using analytic frameworks can maximize the benefits of screening tests while reducing potential harms. The purpose of this article is to review key methodological considerations and analytic frameworks used to evaluate screening studies and develop evidence-based recommendations.

The concept of AI-assisted self-monitoring for skeletal malocclusion.

Background: Skeletal malocclusion is common among populations. Its severity often increases during adolescence, yet it is frequently overlooked. The introduction of deep learning in stomatology has opened a new avenue for self-health management. Methods: In this study, networks were trained using lateral photographs of 2109 newly diagnosed patients. The performance of the models was thoroughly evaluated using various metrics, such as sensitivity, specificity, accuracy, confusion matrix analysis, the receiver operating characteristic curve, and the area under the curve value. Heat maps were generated to further interpret the models' decisions. A comparative analysis was performed to assess the proposed models against the expert judgment of orthodontic specialists. Results: The modified models reached an impressive average accuracy of 84.50% (78.73%-88.87%), with both sex and developmental stage information contributing to the AI system's enhanced performance. The heat maps effectively highlighted the distinct characteristics of skeletal class II and III malocclusion in specific regions. In contrast, the specialist achieved a mean accuracy of 71.89% (65.25%-77.64%). Conclusions: Deep learning appears to be a promising tool for assisting in the screening of skeletal malocclusion. It provides valuable insights for expanding the use of AI in self-monitoring and early detection within a family environment.

Absolute cardiovascular risk assessment using 'real world' clinic blood pressures compared to standardized unobserved and ambulatory methods: an observational study.

Clinic blood pressure (BP) is recommended for absolute cardiovascular disease (CVD) risk assessment. However, in 'real-world' settings, clinic BP measurement is unstandardised and less reliable compared to more rigorous methods but the impact for absolute CVD risk assessment is unknown. This study aimed to determine the difference in absolute CVD risk assessment using real-world clinic BP compared to standardised BP methods. Participants were patients (n = 226, 59 ± 15 years; 58% female) with hypertension referred to a BP clinic for assessment. 'Real-world' clinic BP was provided by the referring doctor. All participants had unobserved automated office BP (AOBP) and 24-h ambulatory BP monitoring (ABPM) measured at the clinic. Absolute CVD risk was calculated (Framingham) using systolic BP from the referring doctor (clinic BP), AOBP and ABPM, with agreement assessed by Kappa statistic. Clinic systolic BP was 18 mmHg than AOBP and daytime ABPM and 22 mmHg higher than 24-h ABPM (p < 0.001). Subsequently, absolute CVD risk scores using clinic BP were higher compared to AOBP, daytime ABPM and 24-h ABPM (10.4 ± 8.1%, 7.8 ± 6.4%, 7.8 ± 6.3%, and 7.3 ± 6.1%, respectively, P < 0.001). As a result, more participants were classified as high CVD risk using clinic BP (n = 89, 40%) compared with AOBP (n = 44, 20%) daytime ABPM (n = 38, 17%) and 24-h ABPM (n = 38, 17%) (p < 0.001) with weak agreement in risk classification (κ = 0.57[0.45-0.69], κ = 0.52[0.41-0.64] and κ = 0.55[0.43-0.66], respectively). Real-world clinic BP was higher and classified twice as many participants at high CVD risk compared to AOBP or ABPM. Given the challenges to high-quality BP measurement in clinic, more rigorous BP measurement methods are needed for absolute CVD risk assessment.

Weakness Status is Differentially Associated with Time to Diabetes in Americans.

Background: The purpose of this study was to evaluate the associations of (1) individual absolute and body size normalized weakness cut-points, and (2) the collective weakness classifications on time to diabetes in Americans. Methods: We analyzed data from 9577 adults aged at least 50-years from the Health and Retirement Study. Diabetes diagnosis was self-reported. A handgrip dynamometer measured handgrip strength (HGS). Males with HGS <35.5 kg (absolute), <0.45 kg/kg (normalized to body weight), or <1.05 kg/kg/m2 (normalized to BMI) were categorized as weak. Females were classified as weak if their HGS was <20.0 kg, <0.337 kg/kg, or <0.79 kg/kg/m2. Compounding weakness included falling below 1, 2, or all 3 cut-points. Results: Persons below the body weight normalized weakness cut-points had a 1.29 (95% confidence interval (CI): 1.15-1.47) higher hazard for incident diabetes, while those below the BMI normalized cut-points had a 1.30 (CI: 1.13-1.51) higher hazard. The association between absolute weakness and incident diabetes was insignificant (hazard ratio: 1.06; CI: 0.91-1.24). Americans below 1, 2, or all 3 collective weakness categories had a 1.28 (CI: 1.10-1.50), 1.29 (CI: 1.08-1.52), and 1.33 (CI: 1.09-1.63) higher hazard for the incidence of diabetes, respectively. Conclusions: Our findings indicate that while absolute weakness, which is confounded by body size, was not associated with time to diabetes, adjusting for the influence of body size by normalizing HGS to body weight and BMI was significantly associated with time to diabetes. This suggests that muscle strength, not body size, may be driving such associations with time to diabetes.

Combining FITs and HRFQ with colonoscopy improve the cost-effectiveness of a 9-year mass colorectal cancer screening program.

BACKGROUND: Colorectal cancer (CRC) incidence has been increasing. Colonoscopy is still a gold standard method for its early diagnosis but using colonoscopy alone as a mass screening method is unrealistic. This study is to investigate whether combining fecal immunochemical test (FIT) and high-risk-factors questionnaire (HRFQ) with colonoscopy improve the cost-effectiveness of a mass CRC screening. PATIENTS AND METHODS: CRC screening protocol combining FITs and HRFQ in the first stage and colonoscopy in the second stage was used in 50 villages/towns in 2007-2015. Residents aged 40-74 years were eligible for this free screening. A total of 160 210 (76.12%) participants completed first-stage screening, and 28 679 (17.90%) participants were defined as positive, among which 21 715 (75.72%) participants completed colonoscopy and were included in the final analysis. Outcomes were followed up until 2020. RESULTS: The compliance was 76.12% and 75.72% in the first and second screening stage, respectively. A total of 252 CRC, 4033 adenoma, 1234 advanced neoplasm, and 5534 total neoplasm cases were detected in the screening. The positive predictive values of CRC, adenoma, advanced neoplasm, and total neoplasm were higher in FITs+ than those in the HRFQ+ population, respectively. A total of 64.60% and 43.42% total neoplasm cases were found in FITs+ and HRFQ+ (8.02% for both), respectively. The total colorectal neoplasm and CRC cases detected by combining HRFQ and FITs increased by 55.08% and 40.00%, respectively, and their increases were higher compared to HRFQ. The detection cost per any neoplasm by combining HRFQ and FITs was <$5331, while that by FITs and HRFQ alone was <$4570 and $5380, respectively. CONCLUSIONS: Combining FITs and HRFQ with colonoscopy improve the cost-effectiveness of a mass CRC screening program. This protocol can be recommended for most populations, especially those in the countries and areas with high population density and low physician/population ratio.

Yorkshire Lung Screening Trial (YLST) pathway navigation study: a protocol for a nested randomised controlled trial to evaluate the effect of a pathway navigation intervention on lung cancer screening uptake.

INTRODUCTION: Lung cancer is the most common cause of cancer death globally. In 2022 the UK National Screening Committee recommended the implementation of a national targeted lung cancer screening programme, aiming to improve early diagnosis and survival rates. Research studies and services internationally consistently observe socioeconomic and smoking-related inequalities in screening uptake. Pathway navigation (PN) is a process through which a trained pathway navigator guides people to overcome barriers to accessing healthcare services, including screening. This nested randomised controlled trial aims to determine whether a PN intervention results in more individuals participating in lung cancer screening compared with the usual written invitation within a previous non-responder population as part of the Yorkshire Lung Screening Trial (YLST). METHODS AND ANALYSIS: A two-arm randomised controlled trial and process evaluation nested within the YLST. Participants aged 55-80 (inclusive) who have not responded to previous postal invitations to screening will be randomised by household to receive PN or usual care (a further postal invitation to contact the screening service for a lung health check) between March 2023 and October 2024. The PN intervention includes a postal appointment notification and prearranged telephone appointment, during which a pathway navigator telephones the participant, following a four-step protocol to introduce the offer and conduct an initial risk assessment. If eligible, participants are invited to book a low-dose CT (LDCT) lung cancer screening scan. All pathway navigators receive training from behavioural psychologists on motivational interviewing and communication techniques to elicit barriers to screening attendance and offer solutions. COPRIMARY OUTCOMES: The number undergoing initial telephone assessment of lung cancer risk. The number undergoing an LDCT screening scan.Secondary outcomes include demographic, clinical and risk parameters of people undergoing telephone risk assessment; the number of people eligible for screening following telephone risk assessment; the number of screen-detected cancers diagnosed; costs and a mixed-methods process evaluation.Descriptive analyses will be used to present numbers, proportions and quantitative components of the process evaluation. Primary comparisons of differences between groups will be made using logistic regression. Applied thematic analysis will be used to interpret qualitative data within a conceptual framework based on the COM-B framework. A health economic analysis of the PN intervention will also be conducted. ETHICS AND DISSEMINATION: The study is approved by the Greater Manchester West Research Ethics Committee (18-NW-0012) and the Health Research Authority following the Confidentiality Advisory Group review. Results will be shared through peer-reviewed scientific journals, conference presentations and on the YLST website. TRIAL REGISTRATION NUMBERS: ISRCTN42704678 and NCT03750110.

Organizational impact of systemic implementation of digital breast tomosynthesis as a primary test for breast cancer screening in Italy.

PURPOSE: We present a comprehensive investigation into the organizational, social, and ethical impact of implementing digital breast tomosynthesis (DBT) as a primary test for breast cancer screening in Italy. The analyses aimed to assess the feasibility of DBT specifically for all women aged 45-74, women aged 45-49 only, or those with dense breasts only. METHODS: Questions were framed according to the European Network of Health Technology Assessment (EuNetHTA) Screening Core Model to produce evidence for the resources, equity, acceptability, and feasibility domains of the Grading of Recommendations Assessment, Development and Evaluation (GRADE) decision framework. The study integrated evidence from the literature, the MAITA DBT trials, and Italian pilot programs. Structured interviews, surveys, and systematic reviews were conducted to gather data on organizational impact, acceptability among women, reading and acquisition times, and the technical requirements of DBT in screening. RESULTS: Implementing DBT could significantly affect the screening program, primarily due to increased reading times and the need for additional human resources (radiologists and radiographers). Participation rates in DBT screening were similar, if not better, to those observed with standard digital mammography, indicating good acceptability among women. The study also highlighted the necessity for specific training for radiographers. The interviewed key persons unanimously considered feasible tailored screening strategies based on breast density or age, but they require effective communication with the target population. CONCLUSIONS: An increase in radiologists' and radiographers' workload limits the feasibility of DBT screening. Tailored screening strategies may maximize the benefits of DBT while mitigating potential challenges.

Factors Related to Diagnosis of Diabetes After Detecting High Blood Glucose Levels Through Screening: One-Year Follow-up Among Publicly Insured Adults in Gunma, Japan.

This study aimed to assess the diagnosis of diabetes after detecting high blood glucose levels through screening among insured individuals in Gunma, Japan. Data for men and women 35 to 74 years of age were provided by Japan Health Insurance Association, and 4133 individuals with high blood glucose levels while not currently being treated for diabetes were included in the study. About 13% received a diagnosis of diabetes at a subsequent physician visit, and individuals who were under treatment for hypertension were less likely to receive the added diagnosis of diabetes compared with those not being treated for hypertension (odds ratio = 0.42; 95% confidence interval = [0.33, 0.54] from a logistic regression model). Fasting blood glucose levels were significantly improved in the next year only among individuals with a confirmed diagnosis of diabetes.

The association of demographic and socioeconomic variables with cancer screening participation: A national cross-sectional study of three cancer screening programs in Denmark.

Objective: To analyze the demographic and socioeconomic determinants of non-participation in cervical, colorectal and breast cancer screening programs in Denmark. Study design and setting: We conducted a cross-sectional study involving all women aged 53-65 years residing in Denmark on March 31, 2018, utilizing comprehensive individual data from population registries. Logistic regression models were employed to assess associations between demographic and socioeconomic factors and non-participation compared with participating in one, two, and three cancer screening programs, presenting odds ratios (ORs) with 95 % confidence intervals (CIs). Both unadjusted and adjusted models were applied for each level of screening participation. Results: Significant associations with non-participation in the three cancer screening programs were observed across all demographic and socioeconomic covariates considered. Women with low incomes demonstrated the highest likelihood of non-participation (none vs. three programs attended, OR: 2.95, 95 % CI: 2.82-3.08). Similarly, increased odds of non-participation were noted among immigrants (Western immigrants: OR: 2.08, 95 % CI: 1.96-2.21; non-Western immigrants OR 1.26 95 % CI: 1.20-1.32), women living alone (OR: 2.08, 95 % CI: 2.02-2.14), women outside the labor force (OR: 1.92, 95 % CI: 1.86-1.99), and women with lower educational levels (OR: 1.44, 95 % CI: 1.39-1.50) in the model comparing non-participation to participating in three screening programs. A progressive intensification of the association with non-participation was noted with each incremental increase in screening participation (from one to two to three programs). Conclusions: Demographic and socioeconomic variables are significantly associated with non-participation in all three Danish cancer screening programs, particularly affecting women from vulnerable demographic and socioeconomic backgrounds. Future research should prioritize strategies to enhance participation within this subgroup, aiming to alleviate social inequities in cancer screening.

Urban-rural health disparity among patients with chronic kidney disease: a cross-sectional community-based study from 2012 to 2019.

OBJECTIVES: The incidence of chronic kidney disease (CKD) is increasing owing to the ageing population, resulting in an increased demand for dialysis and kidney transplantation, which can be costly. Current research lacks clarity regarding the relationship between residence setting and CKD prevalence or its related risk factors. This study explored the urban-rural disparities in CKD prevalence and risk factors in Taiwan. Our findings will aid the understanding of the distribution of CKD and the design of more effective prevention programmes. DESIGN: This cross-sectional community-based study used the Renal Value Evaluation Awareness and Lift programme, which involves early screening and health education for CKD diagnosis and treatment. CKD prevalence and risk factors including alcohol consumption, smoking and betel nut chewing were compared between urban and rural areas. SETTING: Urbanisation levels were determined based on population density, education, age, agricultural population and medical resources. PARTICIPANTS: A total of 7786 participants from 26 urban and 15 rural townships were included. RESULTS: The prevalence of CKD was significantly higher in rural (29.2%) than urban (10.8%) areas, representing a 2.7-fold difference (p<0.0001). Risk factors including diabetes (rural vs urban: 21.7% and 11.0%), hypertension (59.0% vs 39.9%), hyperuricaemia (36.7% vs 18.6%), alcohol consumption (29.0% vs 19.5%), smoking (15.9% vs 12.0%), betel nut chewing (12.6% vs 2.8%) and obesity (33.6% vs 19.4%) were significantly higher (p<0.0001) in rural areas. CONCLUSIONS: The prevalence of CKD is three times higher in rural versus urban areas. Despite >99% National Health Insurance coverage, disparities in CKD prevalence persist between residential areas. Targeted interventions and further studies are crucial for addressing these disparities and enhancing CKD management across different settings.

Normoglycemia and type 2 diabetes: exploring secreted frizzled-4, insulin resistance, and waist-height ratio.

The current study was planned to compare serum levels of secreted frizzled related protein-4, insulin resistance and waist-to-height ratio in individuals with and without a diabetic background, and to assess the correlation of these markers with family history of diabetes. The cross-sectional comparative study comprised 80 subjects with confirmed normal glucose tolerance values. Parameters assessed included secreted frizzled related protein-4, fasting glucose, random glucose, fasting insulin, homeostasis model of assessment of insulin resistance and waist-toheight ratio values. Those without a diabetic background had significantly higher frizzled related protein-4 levels (p=0.02). Although subjects with family history of diabetes showed higher mean fasting glucose, waist circumference and waist-to-height ratio, these differences were not statistically significant (p>0.05). However, there was a strong positive correlation with waist circumference, waistto- height ratio, fasting insulin and homeostasis model of assessment of insulin resistance (p=0.0001). There was no significant correlation of diabetic background with frizzled related protein-4 SFRP-4, homeostasis model of assessment of insulin resistance and waist-to-height ratio (p>0.05).