Tag: statistics

Am J Vet Res. 2022 May 28;83(7):ajvr.21.03.0031. doi: 10.2460/ajvr.21.03.0031.

ABSTRACT

OBJECTIVE: To evaluate the enhancement accuracy of a triple-phase abdominal CT angiography (CTA) protocol in dogs and explore the patient, scan, and contrast parameters associated with accuracy of enhancement.

ANIMALS: 233 client-owned dogs that underwent routine abdominal CTA.

PROCEDURES: During each CTA study, the subjective timing accuracy (early, ideal, late) of the 3 obtained vascular phases (arterial, venous, delayed) was scored by consensus (2 reviewers) at 4 target organs (liver, pancreas, left kidney, and spleen). These scores were evaluated for statistical associations with 21 study variables (patient, scan, and contrast medium). The objective enhancement (HU) for each target organ was also compared statistically with subjective timing accuracy scores and the study variables.

RESULTS: The study protocol performed best for the pancreas, moderately for the liver, and worse for the spleen and left kidney. Measurements of scan length and time were associated positively with phase lateness for most target organs and phases. Increased heart rate was the most significant patient factor associated positively with phase lateness within the liver (all phases), pancreas (arterial and venous phases), and kidney (arterial phase). Contrast medium variables were less associated with timing accuracy in this protocol. Objective enhancement (HU) correlated poorly with subjective phase timing accuracy and study variables.

CLINICAL RELEVANCE: Scan time, scan length, and heart rate were the predominant variables contributing to lateness in this canine abdominal CTA protocol. The findings of this exploratory study may aid in protocol adjustment and choice of included anatomy for dogs undergoing routine abdominal CTA.

PMID:35930776 | DOI:10.2460/ajvr.21.03.0031

Age Ageing. 2022 Aug 2;51(8):afac175. doi: 10.1093/ageing/afac175.

ABSTRACT

BACKGROUND: exergaming-based interventions (EbIs) have been proposed to improve older adults’ mobility and balance performance. However, the effectiveness of such interventions for older adults with Parkinson’s disease (OAPD) remains unclear.

METHODS: seven databases (Web of Science, Medline, Academic Search Premier, CINAHL Complete, PsycINFO, PsychARTICLE and PubMed) were searched up to 7 April 2022. We assessed mobility and balance performance between EbIs groups and control groups or traditional physical training interventions (TPTIs) groups by comparing the outcomes of the Timed Up and Go (TUG), 6-Minute Walk Test (6MWT), Berg Balance Scale (BBS), gait velocity, stride length and Functional Gait Assessment (FGA).

RESULTS: we scanned 1,190 articles and meta-analysed 19 trials (sample size = 781). In general, the results revealed statistical differences between EbIs groups and TPTIs groups in the TUG [mean difference (MD) = -1.030 s; 95% confidence interval (CI) = -2.029 to -0.031; P = 0.043; high quality of evidence], 6MWT (MD = 63.483 m; 95% CI = 9.542 to 117.425; P = 0.021; moderate quality of evidence), BBS (MD = 2.129; 95% CI = -1.293 to 2.965; P < 0.001; high quality of evidence) and FGA (MD = 2.099 95% CI = -0.306 to 3.893; P = 0.022; moderate quality of evidence). No significant difference was discovered between EbIs groups and TPTIs groups in enhancing gait velocity and stride length.

CONCLUSIONS: EbIs are statistically better than TPTIs in improving OAPD’s performance in TUG, 6MWT, BBS and FGA, whereas only the change between EbIs and TPTIs in 6MWT can reach the value of minimal clinically important difference. Further studies are needed to better assess the effectiveness of exergaming-based interventions.

PMID:35930726 | DOI:10.1093/ageing/afac175

J Chem Theory Comput. 2022 Aug 5. doi: 10.1021/acs.jctc.2c00400. Online ahead of print.

ABSTRACT

The study of the thermodynamics, kinetics, and microscopic mechanisms of chemical reactions in solution requires the use of advanced free-energy methods for predictions to be quantitative. This task is however a formidable one for atomistic simulation methods, as the cost of quantum-based ab initio approaches, to obtain statistically meaningful samplings of the relevant chemical spaces and networks, becomes exceedingly heavy. In this work, we critically assess the optimal structure and minimal size of an ab initio training set able to lead to accurate free-energy profiles sampled with neural network potentials. The results allow one to propose an ab initio protocol where the ad hoc inclusion of a machine-learning (ML)-based task can significantly increase the computational efficiency, while keeping the ab initio accuracy and, at the same time, avoiding some of the notorious extrapolation risks in typical atomistic ML approaches. We focus on two representative, and computationally challenging, reaction steps of the classic Strecker-cyanohydrin mechanism for glycine synthesis in water solution, where the main precursors are formaldehyde and hydrogen cyanide. We demonstrate that indistinguishable ab initio quality results are obtained, thanks to the ML subprotocol, at about 1 order of magnitude less of computational load.

PMID:35930696 | DOI:10.1021/acs.jctc.2c00400

PLoS One. 2022 Aug 5;17(8):e0271562. doi: 10.1371/journal.pone.0271562. eCollection 2022.

ABSTRACT

Soil water soluble base ion salt-based ion concentrations are critical parameters for estimating soil buffer capacity and vegetation productivity. Ionic content clearly covaries with the distribution of plant communities. Previous studies on salt-based ions in soils focused primarily on ion migration and its relationships with vegetation growth. Few studies have sought to characterize larger scale spatial distribution of salt-based ions or correlation with climatic and plant community characteristics. This study used ion chromatography to analyze the salt-based ion content (Ca2+, Mg2+, Na+ and K+) of surface soils from the Hunshandake sandy lands. Statistical methods were used interpret spatial variation. Results showed that the average content of salt-based ions in Hunshandake sandy land was 86.57 mg/kg. Average values ranked as Ca2+ > Na+ > K+ > Mg2+ but concentrations also exhibited uneven spatial distributions. Horizontal spatial variation in Ca2+, Mg2+ and Na+ ions showed these ions gradually decrease from northwest to southeast. Potassium ions (K+) showed no obvious spatial variation trends. Ions varied significantly across different soil layers but their average concentrations ranked as K+>Na+>Ca2+>Mg2+ (from shallow to deep). The 20-30 cm soil layer contained the highest salt ion concentrations. Of the four base ions, only K+ ions appeared in surface samples. In terms of water soluble base ion available salt-based ions, Ca2+ occurred in the highest concentrations along the north and west side of the study area. K+ ions occurred in the highest concentrations along the south and east sides of the study area. Na+ concentrations did not show a consistent spatial pattern. Statistical analysis detected significant correlations of normalized ion concentration parameters (Ca2+/CECT, K+/CEC, effective water soluble base ion salt-based ions) and the total species number, average species number and total biomass of the plant communities (P <0.05). This study can help inform understanding of soil water transport in sandy areas and provide a reference for interpreting ecosystems in arid regions.

PMID:35930614 | DOI:10.1371/journal.pone.0271562

PLoS One. 2022 Aug 5;17(8):e0272809. doi: 10.1371/journal.pone.0272809. eCollection 2022.

ABSTRACT

In the United States (U.S.), a hepatitis E virus (HEV) seroprevalence between 6 and 21% has been described, with a decreasing trend. We aimed to investigate HEV infection in the U.S. population from 2009 to 2016, and examine the differences in seroprevalence using different assays. We used data from the National Health and Nutrition Examination Survey (NHANES-CDC) to estimate HEV seroprevalence and analyze demographic variables related to the infection. Additionally, we compared 4 serological tests used. The estimated HEV seroprevalence between 2009-2016 was 6.1% (95% CI: 5.6%-7.0%) for IgG and 1.02% (0.8%-1.2%) for IgM. Higher HEV IgG prevalences were found in older people, females, non-Hispanic Asians and those born outside of the U.S. The in-house immunoassay and the Wantai HEV-IgG ELISA presented the highest sensitivity values in the tested population. The highest specificity values corresponded to the DSI-EIA-ANTI-HEV-IgG assay. The kappa statistical values showed concordances no greater than 0.64 between the assays. HEV prevalence in our study was similar to previously reported, and a decline in the prevalence was observed through the NHANES assessments (from 1988 to 2016). The sensitivity and specificity of the assays varied widely, making comparisons difficult and highlighting the need to develop a gold standard assay.

PMID:35930611 | DOI:10.1371/journal.pone.0272809

PLoS One. 2022 Aug 5;17(8):e0272711. doi: 10.1371/journal.pone.0272711. eCollection 2022.

ABSTRACT

OBJECTIVE: We aimed at investigating the preventive role of exercise intervention during pregnancy, in high-risk women for gestational diabetes mellitus (GDM).

MATERIALS AND METHODS: We searched PubMed, CENTRAL, and Scopus for randomized controlled trials (RCTs) that evaluated exercise interventions during pregnancy on women at high risk for GDM. Data were combined with random effects models. Between study heterogeneity (Cochran’s Q statistic) and the extent of study effects variability [I2 with 95% confidence interval (CI)] were estimated. Sensitivity analyses examined the effect of population, intervention, and study characteristics. We also evaluated the potential for publication bias.

RESULTS: Among the 1,508 high-risk women who were analyzed in 9 RCTs, 374 (24.8%) [160 (21.4%) in intervention, and 214 (28.1%) in control group] developed GDM. Women who received exercise intervention during pregnancy were less likely to develop GDM compared to those who followed the standard prenatal care (OR 0.70, 95%CI 0.52, 0.93; P-value 0.02) [Q 10.08, P-value 0.26; I2 21% (95%CI 0, 62%]. Studies with low attrition bias also showed a similar result (OR 0.70, 95%CI 0.51, 0.97; P-value 0.03). A protective effect was also supported when analysis was limited to studies including women with low education level (OR 0.55; 95%CI 0.40, 0.74; P-value 0.0001); studies with exercise intervention duration more than 20 weeks (OR 0.54; 95%CI 0.40, 0.74; P-value 0.0007); and studies with a motivation component in the intervention (OR 0.69, 95%CI 0.50, 0.96; P-value 0.03). We could not exclude large variability in study effects because the upper limit of I2 confidence interval was higher than 50% for all analyses. There was no conclusive evidence for small study effects (P-value 0.31).

CONCLUSIONS: Our study might support a protective effect of exercise intervention during pregnancy for high-risk women to prevent GDM. The protective result should be corroborated by large, high quality RCTs.

PMID:35930592 | DOI:10.1371/journal.pone.0272711

Technol Cancer Res Treat. 2022 Jan-Dec;21:15330338221118718. doi: 10.1177/15330338221118718.

ABSTRACT

Objective: To investigate the value of computed tomography-guided percutaneous lung biopsy (CT-PLB) combined with rapid on-site evaluation (ROSE) in the diagnosis of peripheral pulmonary lesions (PPLs). Methods: A total of 108 patients who diagnosed with PPLs by chest CT examination were prospectively collected and randomly divided into ROSE group (n = 56) and No-ROSE group (n = 52). Both groups received CT-PLB and pathological examination. The smear submitted for ROSE was stained using Diff Quik dye. The accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), number of punctures, puncture time and incidence of complications were compared between the two groups. Results: The accuracy, sensitivity, specificity, PPV, and NPV of the ROSE group were 89.29%, 87.50%, 91.67%, 93.33%, and 84.62%, respectively. The number of punctures in the ROSE group was significantly lower than that in the No-ROSE group (P < .05). The incidence of pneumothorax and hemoptysis in the ROSE group were lower than those in the No-ROSE group, but there was no statistical difference between the two groups (P > .05). ROSE has good concordance with routine pathological examination in the diagnosis of unidentified PPLs (Kappa = 0.786, P < .01). Conclusions: CT-PLB combined with ROSE is a safe and effective method for the diagnosis of PPLs.

PMID:35930585 | DOI:10.1177/15330338221118718

PLoS One. 2022 Aug 5;17(8):e0272634. doi: 10.1371/journal.pone.0272634. eCollection 2022.

ABSTRACT

BACKGROUND: Child undernutrition is a burden and the leading cause of child mortality in low-and middle-income countries like Bangladesh and India. Currently, this issue is a matter of great concern, inasmuch as achieving the Sustainable Development Goals (SDGs). The study intends to determine the factors of child undernutrition using a single composite index of anthropometric failure (CIAF) among the Bengali population.

METHODS: Unit level data on 14055 under 5 children were extracted from the Bangladesh Demographic and Health Survey 2017-18 (BDHS) and the 4th National Family Health Survey of India (NFHS-4). To understand child undernutrition and generate CIAF, data on height-for-age (stunting), weight-for-height (wasting), and weight-for-age (underweight) were used by WHO guidelines. These three undernutrition indicators were combined into a single undernutrition indicator called anthropometric failure (anth-failure) using the CIAF concept. Explanatory factors of anth-failure included data on maternal health, socio-demographic and birth-related variables. Differences of frequency were determined by Z-proportional and Chi-square tests; predictors of anth-failure were determined by binary logistic regression. Cut off point of p-value was taken as 0.05 to test the significance.

RESULTS: Inter-country disparities were revealed, about half of Bengali children in India and two-fifths in Bangladesh being prone to anth-failure. Stunting and underweight were more prevalent in both countries than wasting. Maternal undernutrition, lack of maternal education, and poor wealth index were common factors of anth-failure for both countries. Children in Bangladesh developed anth-failure after the end of breastfeeding period, indicating a lack of nutritious food. Lack of antenatal care was another significant factor in Bangladesh. In India, the first child suffered from anth-failure due to lack of maternal education.

CONCLUSIONS: This study provides a better understanding of multifactorial impact on child undernutrition. It is proposed that the emphasis should be on initiatives that improve maternal education and nutrition, child food security, boost household wealth index, and enhance mothers’ access to health care. The study strongly recommends that the governments of Bangladesh and India invest financially in preventing child malnutrition, which will contribute to achieving the first four SDGs.

PMID:35930584 | DOI:10.1371/journal.pone.0272634

PLoS One. 2022 Aug 5;17(8):e0272297. doi: 10.1371/journal.pone.0272297. eCollection 2022.

ABSTRACT

The diagnosis of type 1 diabetes mellitus (DM) in humans is associated with high altitude, few sunshine hours, cold climate, and winter. The goals of this study were to investigate seasonal and geographic patterns of DM diagnosis in United States of America (USA) dogs with juvenile and mature onset DM. Data were collected by means of an online survey widely distributed in the USA through breed clubs, academic veterinary institutions, private veterinary referral practices, social media outlets, and the American Kennel Club. Juvenile DM (JDM) and mature onset DM were defined as DM with an age of onset <365 days and DM with an age of onset ≥365 days, respectively. Meteorological seasons were defined as: winter from December through February, spring from March through May, summer from June through August, and fall from September through November. Four geographic regions were also defined as the West, North, South, and Central regions of the USA. Nonoverlapping 95% confidence intervals (CI) for season, geographic region, and breed specific proportions of dogs with JDM were considered statistically significantly different. The study included 933 dogs with mature onset DM and 27 dogs with JDM. Dogs were diagnosed with DM significantly more in the winter and northern USA compared to all other seasons and all other geographic regions, respectively. The prevalence of JDM among dogs with DM was 2.8%. The proportion of dogs with JDM among pure breeds was not significantly different than the proportion of JDM in mixed breed dogs. It is concluded that winter and cold climate could be shared environmental factors influencing DM expression in dogs and humans. Additionally, pure breed dogs do not appear to be at increased risk for JDM compared to mixed breed dogs, indicating that factors other than genetics could influence spontaneous JDM development in dogs.

PMID:35930583 | DOI:10.1371/journal.pone.0272297

PLoS One. 2022 Aug 5;17(8):e0272613. doi: 10.1371/journal.pone.0272613. eCollection 2022.

ABSTRACT

BACKGROUND AND AIM: Rates of cesarean section in Iran are unnecessarily high largely due to fear of childbirth (FOC), yet this may be reduced through education. Iranian women are keen to obtain information about pregnancy and birth online though sources may not be reliable. Consequently, the present study aimed to compare the effect of childbirth preparation courses delivered both online via the social media platform ‘Telegram’ and in-person on pregnancy experience, FOC, birth preference, and mode of birth.

METHODS: This quasi-experimental study included 165 primiparous pregnant women referred to the prenatal clinic in Tehran, Iran. Convenience sampling was used to recruit participants, who were subsequently divided into three groups; (A) social media-based educational intervention (n = 53); (B) in-person educational intervention (n = 52), and (C) a control group who received no prenatal education (n = 50). During the 18th and 20th weeks of pregnancy, demographic questions along with the pregnancy experience scale (PES), and version A of the Wijma delivery expectancy/experience questionnaire (WDEQ‑A) were completed. In the 36th and 38th weeks of pregnancy, the PES and WDEQ‑A questionnaires, as well as birth preference form were further completed. Mode of birth was recorded in the first few days of postpartum. The Fisher’s exact test, along with ANOVA and Chi-square tests were used to determine associations between variables. A paired t-test was used to examine within-group comparisons. The Kruskal-Wallis non-parametric test was used to investigate the intervening effect of economic status.

RESULTS: Post intervention, the mean score of pregnancy experience and FOC did not differ significantly between the three groups. Also, 86.8% of participants in group A, 90.4% of participants in group B, and 62% of participants in the control group preferred to give birth vaginally, which was statistically significant (p = 0.001). Moreover, 66% of participants in group A, 61.5% of participants in group B, and 50% of participants in the control group ultimately gave birth vaginally. None of the participants in group A underwent an elective cesarean section, while this rate was 7.7% and 24% for groups B and control, respectively (p = 0.002).

CONCLUSION: Despite the non-significant differences identified between the three groups in terms of pregnancy experience and FOC, prenatal education delivered via social media may be usefully offered to Iranian women keen to receive education flexibly online.

TRIAL REGISTRATION: Name of the Registry: Iranian Registry of Clinical Trials. Trial registration number: IRCT20180427039436N2. Date of registration: 15/06/2018. URL of trial registry record: https://www.irct.ir/trial/30890.

PMID:35930582 | DOI:10.1371/journal.pone.0272613