Category: Statistics

BMC Bioinformatics. 2024 Jan 2;25(1):3. doi: 10.1186/s12859-023-05616-2.

ABSTRACT

BACKGROUND: Uniform random sampling of mass-balanced flux solutions offers an unbiased appraisal of the capabilities of metabolic networks. Unfortunately, it is impossible to avoid thermodynamically infeasible loops in flux samples when using convex samplers on large metabolic models. Current strategies for randomly sampling the non-convex loopless flux space display limited efficiency and lack theoretical guarantees.

RESULTS: Here, we present LooplessFluxSampler, an efficient algorithm for exploring the loopless mass-balanced flux solution space of metabolic models, based on an Adaptive Directions Sampling on a Box (ADSB) algorithm. ADSB is rooted in the general Adaptive Direction Sampling (ADS) framework, specifically the Parallel ADS, for which theoretical convergence and irreducibility results are available for sampling from arbitrary distributions. By sampling directions that adapt to the target distribution, ADSB traverses more efficiently the sample space achieving faster mixing than other methods. Importantly, the presented algorithm is guaranteed to target the uniform distribution over convex regions, and it provably converges on the latter distribution over more general (non-convex) regions provided the sample can have full support.

CONCLUSIONS: LooplessFluxSampler enables scalable statistical inference of the loopless mass-balanced solution space of large metabolic models. Grounded in a theoretically sound framework, this toolbox provides not only efficient but also reliable results for exploring the properties of the almost surely non-convex loopless flux space. Finally, LooplessFluxSampler includes a Markov Chain diagnostics suite for assessing the quality of the final sample and the performance of the algorithm.

PMID:38166586 | DOI:10.1186/s12859-023-05616-2

Scand J Public Health. 2024 Jan 2:14034948231217636. doi: 10.1177/14034948231217636. Online ahead of print.

ABSTRACT

AIMS: Immigrant women in Norway have lower cervical cancer screening participation than non-immigrant women. Our aim in this study was to assess whether the observed increase in screening participation during 2012-2017 was different between Norwegian-born women and immigrant women.

METHODS: Data were collected from three national registries. The study included 1,409,561 women, categorized according to country of birth and immigrant background: (i) Norway, Norwegian parents; (ii) Norway, immigrant parent(s); (iii) Europe, excluding Norway; (iv) Africa; (v) Asia, including Turkey; and (vi) other countries. Trends and differences between groups were analyzed using Poisson regression analyses with adjustments for variables other studies have found to influence screening participation. Trends were assessed by including half-years as a continuous variable in the models and reported as prevalence ratios with 95% confidence intervals.

RESULTS: Screening participation increased in all groups, but was not statistically significant among women from Africa in the adjusted model. The highest increase was among Norwegian women, with a 2.2% increase per year. Interaction tests showed significantly smaller increases in screening among women born in Europe (p interaction < 0.0001), Africa (p interaction < 0.0001), Asia (p interaction < 0.0001), and countries in the “Other” category (p interaction = 0.004). There was also a smaller increase among Norwegian-born women with one or more immigrant parent(s), but this was not significant (p interaction = 0.178).

CONCLUSIONS: The gap in screening participation and the increasing differences in trends suggest that healthcare services do not reach all women in Norway to the same extent. One should attempt to improve this while working toward further increasing screening participation for all.

PMID:38166571 | DOI:10.1177/14034948231217636

Hum Factors. 2024 Jan 2:187208231222329. doi: 10.1177/00187208231222329. Online ahead of print.

ABSTRACT

OBJECTIVE: With the rapid improvements in drone technology, there is an increasing interest in distal pointing to diffuse drones. This study investigated the effect of depth on distal pointing when the hand does not traverse the entire distance from start to target so that the most suitable mathematical model can be assessed.

BACKGROUND: Starting from the Fitts paradigm, researchers have proposed different models to predict movement time when the distance to the target is variable. They do consider distance, but they are based on statistical modeling rather than the underlying control mechanisms.

METHODS: Twenty-four participants volunteered for an experiment in a full-factorial Fitts’ paradigm task (3 levels of movement amplitude *7 levels of target width *3 levels of distance from participant to screen). Movement time and the number of errors were the dependent variables.

RESULTS: Depth has a significant effect when the target width is small, but depth has no effect when the target width is large. The angular version of the two-part model is superior to the one-part Fitts’ model at larger distances. Besides, Index of difficulty for distal pointing, ${ID}_{\text{DP}}$ with adjustable k achieves the best fit even though the model is very sensitive to the value of k and the complexity of the model could be resulting in an overfitting. The result implies that the effects of movement amplitude and target width are not comparable and grouping them to form a dependent index of difficulty can be misleading especially when distance is an added variable.

CONCLUSION: The angular version of the two-part model is a viable and meaningful description for distal pointing. Even though the ${ID}_{\text{DP}}$ with adjustable k is the best predictor for movement time when depth is an added variable, there is no physical interpretation for it.

APPLICATION: A reasonable predictive model for performance assessments and predictions in distal pointing.

PMID:38166568 | DOI:10.1177/00187208231222329

Disabil Rehabil Assist Technol. 2024 Jan 2:1-14. doi: 10.1080/17483107.2023.2300052. Online ahead of print.

ABSTRACT

PURPOSE: To explore the feasibility of an intervention using modified ride-on cars in terms of acceptability and potential changes in goal attainment, mobility, social function, and participation of children with Congenital Zika Syndrome (CZS).

MATERIALS AND METHODS: A pre- and post-intervention feasibility study was conducted with children with CZS, levels IV and V of the Gross Motor Function Classification System (GMFCS). The intervention consisted of 12 weeks of training (3 times a week for 40 min per session) and 4 weeks of follow-up. The primary outcomes included adherence, satisfaction, and learning in mobility. Secondary outcomes encompassed goal attainment, mobility, social/cognitive function, and participation. Descriptive statistics were performed. To explore potential individual changes with the intervention, Wilcoxon test was used to analyze Pediatric Evaluation of Disability Inventory – Computer Adaptive Test (PEDI-CAT) data and Young Children’s Participation and Environment Measure (YC-PEM)/Participation and Environment Measure for Children and Youth (PEM-CY), along with standard error measurements of the PEDI-CAT domains.

RESULTS: Four children participated (median age 4.75 years; two females: three at level V on the GMFCS). Adherence was 75% of the total intervention time, and family members reported being satisfied or very satisfied. Children showed gains in learning the use of the modified ride-on cars and an increase in goal attainment after the intervention. Individual changes were observed in the PEDI-CAT domains (mobility and social/cognitive), but there were no significant changes in participation outcomes.

CONCLUSIONS: Children with CZS at GMFCS levels IV and V can learn to use motorized ride-on cars, attainment goals, and experience satisfaction.

PMID:38166551 | DOI:10.1080/17483107.2023.2300052

J Biopharm Stat. 2024 Jan 2:1-17. doi: 10.1080/10543406.2023.2296054. Online ahead of print.

ABSTRACT

Making the go/no-go decision is critical in Phase II (or Ib) clinical trials. The conventional decision-making framework based on a binary hypothesis testing has been gradually replaced by the TODeM (Triple Outcome Decision-Making) which has three zones of outcomes: go, no-go, and consider. The TODeM provides more flexibility in decision-making with considering both of statistical significance and clinical relevance. However, Bayesian methods (e.g. EXNEX, MUCE, etc.) for the information borrowing are still based on the binary decision-making framework. We propose a new decision-making process G-TODeM (Generalized Triple Outcome Decision-Making) to apply those Bayesian methods with information borrowing across different cohorts to the TODeM framework. Essentially, the information borrowed from other cohorts can shrink the consider zone of the inference cohort.

PMID:38166528 | DOI:10.1080/10543406.2023.2296054

J Atten Disord. 2024 Jan 3:10870547231218948. doi: 10.1177/10870547231218948. Online ahead of print.

ABSTRACT

OBJECTIVE: Residential is a common treatment setting for youth with high-severity substance use disorders (SUD). This study evaluated the prevalence of psychiatric symptoms and medication for youth in residential SUD treatment.

METHODS: Youth in Massachusetts state licensed and funded SUD residential programs completed questionnaires assessing demographics, primary substance of use, and psychopathology symptoms (Youth Self Report [YSR]/Adult Self Report [ASR]). De-identified medication lists were provided by the programs. Descriptive statistics were used to describe the sample.

RESULTS: Among the 47 youth who participated, 51.1% were male, 72.3% white, 83% non-Hispanic, mean age 20.7 years. Opioids were the most common primary substance identified by youth (51.1%), and 75% had at least one clinically elevated subscale on the YSR/ASR. Most youth were prescribed at least one medication (89.4%) with a mean of 2.9 medications.

CONCLUSION: Youth in SUD residential treatment frequently have clinically elevated psychiatric symptoms, and psychotropic medication was commonly prescribed.

PMID:38166518 | DOI:10.1177/10870547231218948

J Physiol Sci. 2024 Jan 2;74(1):2. doi: 10.1186/s12576-023-00895-z.

ABSTRACT

Establishing specific reference intervals (RIs) of serum 25-hydroxyvitamin D3 [25(OH)D] for children is essential for improving the accuracy of diagnosis and prognosis monitoring of diseases such as rickets and growth retardation. The study including 6,627 healthy children was conducted to establish specific RIs of 25(OH)D for children in Nanning area of China. The results showed that there were statistically significant differences among age, season, and gender of serum 25(OH)D levels, and the age-specific RIs of serum 25(OH)D were 20.3 ~ 53.6 ng/mL for 0 ~ ≤ 1 year and 18.9 ~ 49.6 ng/mL for 2 ~ ≤ 3 years. The age-, season-specific RIs of serum 25(OH)D for 4 ~ ≤ 6 years in spring-summer and autumn-winter were 15.8 ~ 42.6 ng/mL and 15.2 ~ 37.7 ng/mL, respectively. The age-, gender-specific RIs of serum 25(OH)D for 7 ~ ≤ 18 years for males and females were 12.1 ~ 36.1 ng/mL and 10.8 ~ 35.3 ng/mL, respectively. This study successfully established the RIs of serum 25(OH)D, which may help to improve disease diagnosis and monitoring for children in the Nanning area of China.

PMID:38166513 | DOI:10.1186/s12576-023-00895-z

J Dermatolog Treat. 2024 Dec;35(1):2299597. doi: 10.1080/09546634.2023.2299597. Epub 2024 Jan 3.

ABSTRACT

BACKGROUND: Chronic urticaria (CU) is a prevalent dermatologic disease that negatively affects life, current therapies remain suboptimal. Hence, there is an urgent need to identify effective and safe treatment.

OBJECTIVE: Assess the efficacy and safety of compound glycyrrhizin (CG) combined with second-generation nonsedated antihistamine for the treatment of CU.

METHODS: Nine databases were queried to screen RCTs related. Two reviewers independently assessed the risk of bias using Cochrane Collaboration. Primary objective was the total efficiency rate, while secondary was rate of recurrence, adverse events, and cure. Statistical analyses using Review Manager 5.4 and Stata17.

RESULTS: Twenty-four RCTs were identified. Significant differences were noted in rate of total efficiency (n = 2649, RR = 1.36, 95%CI:1.30-1.43, p < 0.00001), cure (n = 2649, RR = 1.54, 95%CI:1.42-1.66, p < 0.00001) and recurrence (n = 446, RR = 0.34, 95%CI:0.20-0.58, p < 0.00001) between the combination of CG with second-generation non-sedated antihistamine and antihistamine monotherapy. Contrastingly, adverse events rate (n = 2317, RR = 0.76, 95% CI:0.59-0.97, p = 0.03) was comparable between the two groups. Our results indicated that CG combined with second-generation non-sedated antihistamine could significantly mitigate the symptoms in CU compared with antihistamine monotherapy. No serious adverse events were reported.

CONCLUSIONS: CG combined with second-generation nonsedated antihistamine is effective for CU. Nevertheless, higher-quality studies are warranted to validate our results.

PMID:38166511 | DOI:10.1080/09546634.2023.2299597

Int J Soc Determinants Health Health Serv. 2024 Jan 3:27551938231224708. doi: 10.1177/27551938231224708. Online ahead of print.

ABSTRACT

The objective of universal health care systems is to achieve equality in the use of health services at the same level of care need. This study evaluates the relationship of socioeconomic position with the frequency of doctor visits in subjects with and without chronic diseases in Germany and Spain. The dependent variables included number of consultations and if a medical consultation occurred. The socioeconomic factors were income and education. The magnitude of the relationship between socioeconomic position and medical consultation frequency was estimated by calculating the percentage ratio using binomial regression and by calculating the difference in consultations by analysis of the covariance, in the case of number of visits. Statistically significant findings according to education were not observed. The percentage ratio in the medical consultations among those with lower and higher income was 1.03 (95% confidence interval [CI] 1.01-2.88) in Germany and 1.11 (95% CI 1.03-1.20) in Spain among subjects with any of the studied chronic conditions. Also, in Germany the difference in the average number of consultations comparing lower income subjects with higher was 3.98 (95% CI 2.40-5.57) in those with chronic conditions. In both countries, there were no differences in the frequency of doctor visits according to education. However, a pro-inequality trend exists in favor of subjects with lower income.

PMID:38166504 | DOI:10.1177/27551938231224708

J R Soc Interface. 2024 Jan;21(210):20230471. doi: 10.1098/rsif.2023.0471. Epub 2024 Jan 3.

ABSTRACT

Non-pharmaceutical measures such as preventive quarantines, remote working, school and workplace closures, lockdowns, etc. have shown effectiveness from an epidemic control perspective; however, they have also significant negative consequences on social life and relationships, work routines and community engagement. In particular, complex ideas, work and school collaborations, innovative discoveries and resilient norms formation and maintenance, which often require face-to-face interactions of two or more parties to be developed and synergically coordinated, are particularly affected. In this study, we propose an alternative hybrid solution that balances the slowdown of epidemic diffusion with the preservation of face-to-face interactions, that we test simulating a disease and a knowledge spreading simultaneously on a network of contacts. Our approach involves a two-step partitioning of the population. First, we tune the level of node clustering, creating ‘social bubbles’ with increased contacts within each bubble and fewer outside, while maintaining the average number of contacts in each network. Second, we tune the level of temporal clustering by pairing, for a certain time interval, nodes from specific social bubbles. Our results demonstrate that a hybrid approach can achieve better trade-offs between epidemic control and complex knowledge diffusion. The versatility of our model enables tuning and refining clustering levels to optimally achieve the desired trade-off, based on the potentially changing characteristics of a disease or knowledge diffusion process.

PMID:38166491 | DOI:10.1098/rsif.2023.0471