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BACKGROUND: The distribution of time across physical activity, sedentary behaviors, and sleep appears to be essential for the management of obesity. However, the impact of reallocating time among these behaviors, collectively known as 24-h movement behaviors, remains underexplored. OBJECTIVE: This study examines the theoretical effects of reallocating time between 24-h movement behaviors on obesity indicators across different age groups. METHODS: We performed a pooled data meta-analysis of 9818 participants from 11 observational and experimental studies. To estimate the time spent in movement behaviors, we reprocessed and harmonized individual-level raw accelerometer-derived data. Isotemporal substitution models estimated theoretical changes in body mass index (BMI) and waist circumference (WC) associated with time reallocation between movement behaviors. We performed the analysis separately for children, adolescents, adults, and older adults. RESULTS: Even minor reallocations of 10 min led to significant changes in obesity indicators, with pronounced effects observed when 30 min were reallocated. The most substantial adverse effects on BMI and WC occurred when moderate-to-vigorous physical activity (MVPA) was reallocated to other movement behaviors. For 30-min reallocations, the largest increase in BMI (or BMI z-score for children) occurred when MVPA was reallocated to light-intensity physical activity (LPA) in children (0.26 units, 95% confidence interval [CI] 0.15, 0.37) and to sedentary behavior (SB) in adults (0.72 kg/m2, 95% CI 0.47, 0.96) and older adults (0.73 kg/m2, 95% CI 0.59, 0.87). The largest increase in WC was observed when MVPA was substituted with LPA in adults (2.66 cm, 95% CI 1.42, 3.90) and with SB in older adults (2.43 cm, 95% CI 2.07, 2.79). Conversely, the highest magnitude of the decrease in obesity indicators was observed when SB was substituted with MVPA. Specifically, substituting 30 min of SB with MVPA was associated with a decrease in BMI z-score by - 0.15 units (95% CI - 0.21, - 0.10) in children and lower BMI by - 0.56 kg/m2 (95% CI - 0.74, - 0.39) in adults and by - 0.52 kg/m2 (95% CI - 0.61, - 0.43) in older adults. Reallocating time away from sleep and LPA showed several significant changes but lacked a consistent pattern. While the predicted changes in obesity indicators were generally consistent across age groups, inconsistent findings were observed in adolescents, particularly for reallocations between MVPA and other behaviors. CONCLUSIONS: This investigation emphasizes the crucial role of MVPA in mitigating obesity risk across the lifespan, and the benefit of substituting SB with low-intensity movement behaviors. The distinct patterns observed in adolescents suggest a need for age-specific lifestyle interventions to effectively address obesity. Emphasizing manageable shifts, such as 10-min reallocations, could have significant public health implications, promoting sustainable lifestyle changes that accommodate individuals with diverse needs, including those with severe obesity.
- MeSH
- akcelerometrie MeSH
- časové faktory MeSH
- cvičení * MeSH
- dítě MeSH
- dospělí MeSH
- index tělesné hmotnosti MeSH
- léčba obezity * metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- obezita * MeSH
- obvod pasu MeSH
- sedavý životní styl * MeSH
- senioři MeSH
- spánek MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
The 2024 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines for chronic kidney disease (CKD) evaluation and management bring important updates, particularly for European laboratories. These guidelines emphasize the need for harmonization in CKD testing, promoting the use of regional equations. In Europe, the European Kidney Function Consortium (EKFC) equation is particularly suited for European populations, particularly compared to the CKD-EPI 2021 race-free equation. A significant focus is placed on the combined use of creatinine and cystatin C to estimate glomerular filtration rate (eGFRcr-cys), improving diagnostic accuracy. In situations where eGFR may be inaccurate or clinically insufficient, the guidelines encourage the use of measured GFR (mGFR) through exogenous markers like iohexol. These guidelines emphasize the need to standardize creatinine and cystatin C measurements, ensure traceability to international reference materials, and adopt harmonized reporting practices. The recommendations also highlight the importance of incorporating risk prediction models, such as the Kidney Failure Risk Equation (KFRE), into routine clinical practice to better tailor patient care. This article provides a European perspective on how these KDIGO updates should be implemented in clinical laboratories to enhance CKD diagnosis and management, ensuring consistency across the continent.
- MeSH
- chronická renální insuficience * diagnóza terapie MeSH
- cystatin C krev MeSH
- hodnoty glomerulární filtrace * MeSH
- klinické laboratoře MeSH
- kreatinin krev MeSH
- lidé MeSH
- směrnice pro lékařskou praxi jako téma * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- Geografické názvy
- Evropa MeSH
BACKGROUND AND OBJECTIVE: Non-muscle-invasive bladder cancer (NMIBC) poses a significant clinical challenge, particularly when failing bacillus Calmette-Guérin (BCG) therapy, necessitating alternative treatments. Despite radical cystectomy being the recommended treatment, many patients are unfit or unwilling to undergo this invasive procedure, highlighting the need for effective bladder-sparing therapies. This review aims to summarize and report the evidence on the efficacy and to estimate the costs of bladder-preserving strategies used in NMIBC recurrence after failure of intravesical BCG therapy. METHODS: We systematically searched online databases for prospective studies investigating intravesical therapy, systemic therapy, or combination of both in patients treated previously with BCG. Owing to significant heterogeneity across the studies, a meta-analysis was inappropriate. A sensitivity analysis was performed in an exploratory manner. We used a decision-analytic Markov model to compare novel U.S. Food and Drug Administration-approved treatments with a 2-yr time horizon. KEY FINDINGS AND LIMITATIONS: A total of 57 studies published between 1998 and 2024, with 68 unique study arms and consisting of 2589 patients, were identified. The 3-mo overall response rate (ORR) across all studies, complete response rate (CRR) in concomitant carcinoma in situ (CIS) or CIS only disease, and recurrence-free rate (RFR) in papillary disease were estimated to be 52.4% (95% confidence interval [CI]: 45.4-59.2), 52.8% (95% CI: 42.9-62.6), and 26.4% (95% CI: 13.3-45.6), respectively. The 12-mo ORR, CRR, and RFR were estimated to be 78% (95% CI: 52.9-91.8), 27.8% (95% CI: 21.3-35.4), and 25.4% (95% CI: 18.2-34.2), respectively. The progression rate was estimated to be 13% (95% CI: 9-18.2). The mean proportion of patients treated with radical cystectomy was estimated to be 24.7 (range 0-85.7). The reported toxicity grades were overall mild, with a median of 3.4% (range 0-33.3%) participants experiencing a dose limiting toxicity. Compared with using radical cystectomy to treat patients failing BCG therapy, at a willingness-to-pay threshold of 100 000 USD, nadofaragene firadenovec was cost effective, with an incremental cost-effectiveness ratio (ICER) of 10 014 USD per quality-adjusted life year (QALY), while nogapendekin alfa inbakicept was less cost effective than nadofaragene firadenovec (ICER of 44 602 USD per QALY). Pembrolizumab, which dominated, was both less costly and more effective than the other strategies. CONCLUSIONS AND CLINICAL IMPLICATIONS: Salvage bladder-sparing therapies show a response rate of around 50% at 3 mo in patients with NMIBC failing BCG. However, long-term data are heterogeneous. Nevertheless, recently developed agents show promising tumor control activity. In the rapidly evolving landscape of urothelial cancer, some of these treatment strategies might be cost effective and improve patients' quality of life. The findings of our review highlight the need for novel, more effective therapeutic strategies. PATIENT SUMMARY: In this study, we reviewed the evidence on the efficacy of bladder-preserving strategies used in patients with bladder cancer recurrence after failing bacillus Calmette-Guérin (BCG) therapy. We found that these strategies show a response rate of around 50% at 3 mo. However, long-term data are heterogeneous. Nevertheless, recently developed agents show promising tumor control activity. In the rapidly evolving landscape of urothelial cancer, some of these treatment strategies might be cost effective and improve patients' quality of life.
- MeSH
- adjuvancia imunologická * terapeutické užití ekonomika MeSH
- analýza nákladů a výnosů * MeSH
- aplikace intravezikální MeSH
- BCG vakcína * terapeutické užití ekonomika MeSH
- invazivní růst nádoru MeSH
- lidé MeSH
- lokální recidiva nádoru MeSH
- nádory močového měchýře neinvadující svalovinu MeSH
- nádory močového měchýře * farmakoterapie patologie terapie ekonomika MeSH
- neúspěšná terapie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- systematický přehled MeSH
One of the most common statistical analyses in experimental psychology concerns the comparison of two means using the frequentist t test. However, frequentist t tests do not quantify evidence and require various assumption tests. Recently, popularized Bayesian t tests do quantify evidence, but these were developed for scenarios where the two populations are assumed to have the same variance. As an alternative to both methods, we outline a comprehensive t test framework based on Bayesian model averaging. This new t test framework simultaneously takes into account models that assume equal and unequal variances, and models that use t-likelihoods to improve robustness to outliers. The resulting inference is based on a weighted average across the entire model ensemble, with higher weights assigned to models that predicted the observed data well. This new t test framework provides an integrated approach to assumption checks and inference by applying a series of pertinent models to the data simultaneously rather than sequentially. The integrated Bayesian model-averaged t tests achieve robustness without having to commit to a single model following a series of assumption checks. To facilitate practical applications, we provide user-friendly implementations in JASP and via the RoBTT package in R . A tutorial video is available at https://www.youtube.com/watch?v=EcuzGTIcorQ.
- MeSH
- Bayesova věta MeSH
- experimentální psychologie * metody MeSH
- interpretace statistických dat MeSH
- lidé MeSH
- statistické modely * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
BACKGROUND: Many studies have demonstrated the association between low birth weight (LBW) and chronic kidney disease, estimated glomerular filtration rate (eGFR) and kidney volume (KV). However, studies on twins and those investigating numerous perinatal factors beyond LBW, and their associations with various kidney parameters are scarce. METHODS: A two-center cross-sectional study on five-year-old LBW children was conducted between 2021 and 2023. 110 children were enrolled (8 LBW, 58 very LBW (VLBW), 44 extremely LBW (ELBW)); 56 were twins. We examined associations between birth weight (BW), various prenatal, perinatal and postnatal factors, and eGFR, KV, tubular abnormalities and kidney ultrasound abnormalities, both in singletons and twins. RESULTS: In children with ELBW, eGFR correlated with BW (r = 0.55, P = 0.0018), while in those with BW ≥ 1000 g, eGFR remained constant. Other factors associated with decreased eGFR were hypertensive disorder of pregnancy (93.86 vs. 87.26 ml/min/1.73m2, P = 0.0285) in singletons, decreased growth velocity (β = 0.83, P = 0.0277) in twins, and lower total KV (tKV) and relative KV (rKV) in both singletons (r = 0.60, P < 0.0001 for tKV and r = 0.45, P = 0.0010 for rKV) and twins (β = 0.34, P < 0.0001 for tKV and β = 0.23, P = 0.0002 for rKV). Based on the multivariable models excluding KV, BW and gestational age were associated with eGFR in singletons, while male gender, BW, growth velocity, and coffee drinking during pregnancy were associated with eGFR in twins. However, in models that included KV, BW, gestational age and growth velocity were no longer significant. Total KV was associated with BW (r = 0.39, P = 0.0050 for singletons; β = 2.85, P < 0.0001 for twins), body mass index (r = 0.34, P = 0.0145 for singletons; β = 8.44, P < 0.0001 for twins), and growth velocity (β = 1.43, P = 0.0078). Twins born small for gestational age had lower tKV (70.88 vs 89.20 ml, P < 0.0001). Relative KV showed similar associations. Relative kidney volumes were significantly lower for both kidneys compared to the reference population (55.02 vs 65.42 ml/m2, P < 0.0001 for right kidney and 61.12 vs 66.25 ml/m2, P = 0.0015 for left kidney); however, only 8.6% of children had rKV below 10th percentile. CONCLUSION: Many factors affect eGFR and KV, some of them differ between twins and singletons. Based on multivariable models, eGFR seems to be better predicted by KV than by BW and gestational age in LBW children. Relative kidney volumes were significantly lower in our cohort compared to the reference population, but only 8.6% of rKV were below 10th percentile.
- MeSH
- chronická renální insuficience epidemiologie etiologie patofyziologie MeSH
- dvojčata MeSH
- hodnoty glomerulární filtrace * MeSH
- ledviny * diagnostické zobrazování patofyziologie MeSH
- lidé MeSH
- novorozenec s nízkou porodní hmotností * MeSH
- novorozenec MeSH
- porodní hmotnost MeSH
- předškolní dítě MeSH
- průřezové studie MeSH
- rizikové faktory MeSH
- těhotenství MeSH
- velikost orgánu MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
BACKGROUND: Increased lung cancer risks for low socioeconomic status (SES) groups are only partially attributable to smoking habits. Little effort has been made to investigate the persistent risks related to low SES by quantification of potential biases. METHODS: Based on 12 case-control studies, including 18 centers of the international SYNERGY project (16,550 cases, 20,147 controls), we estimated controlled direct effects (CDE) of SES on lung cancer via multiple logistic regression, adjusted for age, study center, and smoking habits and stratified by sex. We conducted mediation analysis by inverse odds ratio weighting to estimate natural direct effects and natural indirect effects via smoking habits. We considered misclassification of smoking status, selection bias, and unmeasured mediator-outcome confounding by genetic risk, both separately and by multiple quantitative bias analyses, using bootstrap to create 95% simulation intervals (SI). RESULTS: Mediation analysis of lung cancer risks for SES estimated mean proportions of 43% in men and 33% in women attributable to smoking. Bias analyses decreased the direct effects of SES on lung cancer, with selection bias showing the strongest reduction in lung cancer risk in the multiple bias analysis. Lung cancer risks remained increased for lower SES groups, with higher risks in men (fourth vs. first [highest] SES quartile: CDE, 1.50 [SI, 1.32, 1.69]) than women (CDE: 1.20 [SI: 1.01, 1.45]). Natural direct effects were similar to CDE, particularly in men. CONCLUSIONS: Bias adjustment lowered direct lung cancer risk estimates of lower SES groups. However, risks for low SES remained elevated, likely attributable to occupational hazards or other environmental exposures.
- MeSH
- analýza mediace * MeSH
- dospělí MeSH
- kouření * epidemiologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- logistické modely MeSH
- nádory plic * epidemiologie MeSH
- odds ratio MeSH
- rizikové faktory MeSH
- senioři MeSH
- společenská třída * MeSH
- studie případů a kontrol MeSH
- zkreslení výsledků (epidemiologie) * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
OBJECTIVES: Decision-analytic models assessing the value of emerging Alzheimer's disease (AD) treatments are challenged by limited evidence on short-term trial outcomes and uncertainty in extrapolating long-term patient-relevant outcomes. To improve understanding and foster transparency and credibility in modeling methods, we cross-compared AD decision models in a hypothetical context of disease-modifying treatment for mild cognitive impairment (MCI) due to AD. METHODS: A benchmark scenario (US setting) was used with target population MCI due to AD and a set of synthetically generated hypothetical trial efficacy estimates. Treatment costs were excluded. Model predictions (10-year horizon) were assessed and discussed during a 2-day workshop. RESULTS: Nine modeling groups provided model predictions. Implementation of treatment effectiveness varied across models based on trial efficacy outcome selection (clinical dementia rating - sum of boxes, clinical dementia rating - global, mini-mental state examination, functional activities questionnaire) and analysis method (observed severity transitions, change from baseline, progression hazard ratio, or calibration to these). Predicted mean time in MCI ranged from 2.6 to 5.2 years for control strategy and from 0.1 to 1.0 years for difference between intervention and control strategies. Predicted quality-adjusted life-year gains ranged from 0.0 to 0.6 and incremental costs (excluding treatment costs) from -US$66 897 to US$11 896. CONCLUSIONS: Trial data can be implemented in different ways across health-economic models leading to large variation in model predictions. We recommend (1) addressing the choice of outcome measure and treatment effectiveness assumptions in sensitivity analysis, (2) a standardized reporting table for model predictions, and (3) exploring the use of registries for future AD treatments measuring long-term disease progression to reduce uncertainty of extrapolating short-term trial results by health-economic models.
- MeSH
- Alzheimerova nemoc * ekonomika farmakoterapie MeSH
- analýza nákladů a výnosů * MeSH
- ekonomické modely MeSH
- kognitivní dysfunkce * ekonomika MeSH
- kvalitativně upravené roky života MeSH
- lidé MeSH
- metody pro podporu rozhodování MeSH
- progrese nemoci MeSH
- výsledek terapie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- srovnávací studie MeSH
Human migration is an increasingly common phenomenon and migrants are at risk of disadvantageous treatment. We reasoned that migrants may receive differential treatment by locals based on the closeness of their facial features to the host average. Residents of Türkiye, the country with the largest number of refugees currently, served as participants. Because many of these refugees are of Arabic origin, we created target facial stimuli varying along the axis connecting Turkish and Arabic morphological prototypes (excluding skin colour) computed using geometric morphometrics and available databases. Participants made judgements of two universal dimensions of social perception-warmth and competence-on these faces. We predicted that participants judging faces manipulated towards the Turkish average would provide higher warmth and competence ratings compared to judging the same faces manipulated towards the Arabic average. Bayesian statistical tools were employed to estimate parameter values in multilevel models with intercorrelated varying effects. The findings did not support the prediction and revealed raters (as well as target faces) to be an important source of variation in social judgements. In the absence of simple cues (e.g. skin colour, group labels), the effect of facial morphology on social judgements may be much more complex than previously assumed.
- MeSH
- Bayesova věta MeSH
- dospělí MeSH
- lidé MeSH
- mínění * MeSH
- mladiství MeSH
- mladý dospělý MeSH
- obličej anatomie a histologie MeSH
- rozpoznání obličeje fyziologie MeSH
- sociální percepce * MeSH
- stereotypizace * MeSH
- uprchlíci psychologie MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Turecko MeSH
BACKGROUND: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure. METHODS: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk. RESULTS: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking (RERI = 0.24, 95% confidence interval [CI] = 0.13, 0.36), ever smoking (0.11 [0.05, 0.16]), high body mass index (female 0.09 [0.05, 0.13], male 0.10 [0.05, 0.14]), or high red meat intake (highest versus lowest quartile 0.18 [0.09, 0.27]) was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/nonsteroidal anti-inflammatory drugs use (-0.16 [-0.20, -0.11]) or higher intake of fruit, fiber, or calcium (highest quartile versus lowest quartile -0.12 [-0.18, -0.050]; -0.16 [-0.23, -0.09]; -0.11 [-0.18, -0.05], respectively) than those with average genetic susceptibility. CONCLUSIONS: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.
- MeSH
- dieta MeSH
- dospělí MeSH
- genetická predispozice k nemoci * MeSH
- index tělesné hmotnosti MeSH
- interakce genů a prostředí * MeSH
- jednonukleotidový polymorfismus MeSH
- kolorektální nádory * genetika epidemiologie MeSH
- kouření škodlivé účinky MeSH
- lidé středního věku MeSH
- lidé MeSH
- logistické modely MeSH
- pití alkoholu MeSH
- rizikové faktory MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Optimal management of outpatients with heart failure (HF) requires serially updating the estimates of their risk for adverse clinical outcomes to guide treatment. Patient-reported outcomes (PROs) are becoming increasingly used in clinical care. The purpose of this study was to determine whether the inclusion of PROs can improve the risk prediction for HF hospitalization and death in ambulatory patients with HF. METHODS AND RESULTS: We included consecutive patients with HF with reduced ejection fraction (HFrEF) and HF with preserved EF (HFpEF) seen in a HF clinic between 2015 and 2019 who completed PROs as part of routine care. Cox regression with a least absolute shrinkage and selection operator regularization and gradient boosting machine analyses were used to estimate risk for a combined outcome of HF hospitalization, heart transplant, left ventricular assist device implantation, or death. The performance of the prediction models was evaluated with the time-dependent concordance index (Cτ). Among 1165 patients with HFrEF (mean age 59.1 ± 16.1, 68% male), the median follow-up was 487 days. Among 456 patients with HFpEF (mean age 64.2 ± 16.0 years, 55% male) the median follow-up was 494 days. Gradient boosting regression that included PROs had the best prediction performance - Cτ 0.73 for patients with HFrEF and 0.74 in patients with HFpEF, and showed very good stratification of risk by time to event analysis by quintile of risk. The Kansas City Cardiomyopathy Questionnaire overall summary score, visual analogue scale and Patient Reported Outcomes Measurement Information System dimensions of satisfaction with social roles and physical function had high variable importance measure in the models. CONCLUSIONS: PROs improve risk prediction in both HFrEF and HFpEF, independent of traditional clinical factors. Routine assessment of PROs and leveraging the comprehensive data in the electronic health record in routine clinical care could help more accurately assess risk and support the intensification of treatment in patients with HF.
- MeSH
- hodnocení rizik metody MeSH
- hodnocení výsledků péče pacientem * MeSH
- hospitalizace statistika a číselné údaje MeSH
- kvalita života * psychologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- následné studie MeSH
- retrospektivní studie MeSH
- senioři MeSH
- srdeční selhání * patofyziologie psychologie terapie diagnóza mortalita MeSH
- tepový objem fyziologie MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH