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Nevin Manimala Statistics

Study on the preoperative value of serum SCC-Ag in predicting the stromal invasion of cervical squamous cell carcinoma

J Cancer Res Clin Oncol. 2023 May 15. doi: 10.1007/s00432-023-04836-6. Online ahead of print.

ABSTRACT

OBJECTIVE: To investigate the preoperative value of serum SCC-Ag in predicting the stromal invasion of cervical squamous cell carcinoma.

METHODS: This study retrospectively analyzed 78 patients with early cervical squamous cell carcinoma who underwent surgery as initial treatment at the Senior Department of Obstetrics and Gynecology, the Seventh Medical Center of PLA General Hospital from January 2018 to September 2022 was implemented. The clinicopathological characteristics were statistically compared. The ROC curve was drawn to determine the optimal critical level of preoperative serum SCC-Ag value for predicting cervical stromal invasion.

RESULTS: The depth of myometrial invasion was not related to the age of diagnosis and HPV infection (p > 0.05), while it was related to tumor size, staging, tissue differentiation, LVSI, lymph node metastasis (LNM) and preoperative serum SCC-Ag value (p < 0.05).The area under the curve (AUC) of serum SCC-Ag value was 0.894 (p = 0.000, 95% CI 0.824-0.964), and preoperative serum SCC-Ag value 1.65 ng/ml was the best cutoff for predicting cervical stromal invasion in cervical squamous cell carcinoma. The sensitivity and specificity of diagnosis were 92.3% and 78.8%, respectively.

CONCLUSION: If the preoperative serum SCC-Ag leval more than 1.65 ng/ml in patients with cervical squamous cell carcinoma, the risk of cervical stromal invasion will increase, which can provide a reference for clinical treatment.

PMID:37184678 | DOI:10.1007/s00432-023-04836-6

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Nevin Manimala Statistics

Pathologists aren’t pigeons: exploring the neural basis of visual recognition and perceptual expertise in pathology

Adv Health Sci Educ Theory Pract. 2023 May 15. doi: 10.1007/s10459-023-10232-z. Online ahead of print.

ABSTRACT

Visual (perceptual) reasoning is a critical skill in many medical specialties, including pathology, diagnostic imaging, and dermatology. However, in an ever-compressed medical curriculum, learning and practicing this skill can be challenging. Previous studies (including work with pigeons) have suggested that using reward-feedback-based activities, novices can gain expert levels of visual diagnostic accuracy in shortened training times. But is this level of diagnostic accuracy a result of image recognition (categorization) or is it the acquisition of diagnostic expertise? To answer this, the authors measured electroencephalographic data (EEG) and two components of the human event-related brain potential (reward positivity and N170) to explore the nature of visual expertise in a novice-expert study in pathology visual diagnosis. It was found that the amplitude of the reward positivity decreased with learning in novices (suggesting a decrease in reliance on feedback, as in other studies). However, this signal remained significantly different from the experts whose reward positivity signal did not change over the course of the experiment. There were no changes in the amplitude of the N170 (a reported neural marker of visual expertise) in novices over time. Novice N170 signals remained statistically and significantly lower in amplitude compared to experts throughout task performance. These data suggest that, while novices gained the ability to recognize (categorize) pathologies through reinforcement learning as quantified by the change in reward positivity, increased accuracy, and decreased time for responses, there was little change in the neural marker associated with visual expertise (N170). This is consistent with the multi-dimensional and complex nature of visual expertise and provides insight into future training programs for novices to bridge the expertise gap.

PMID:37184677 | DOI:10.1007/s10459-023-10232-z

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Nevin Manimala Statistics

Genetic characterisation of indigenous duck of Tripura state in India using microsatellite markers

Trop Anim Health Prod. 2023 May 15;55(3):198. doi: 10.1007/s11250-023-03629-w.

ABSTRACT

Exploring genetic variability by microsatellite markers is essential for genetic improvement, preservation of indigenous germplasm and production of high-quality offspring. Lack of information on microsatellite profiling of Indian indigenous ducks (Tripura state) has stoked curiosity in this work. Genomic DNA samples from randomly selected 36 native ducks were analysed at 25 duck-specific microsatellite loci. Alleles were separated through 3.4% MetaPhore™ agarose gel electrophoresis. Allele sizes were determined using Image Lab 6 software of GelDoc™ EZ System. Allelic data were analysed by POPGENE version 1.31. Total 112 alleles were resolved and all the loci were found polymorphic with 2 to 15 alleles across the loci. Average number of allele (Na) was 4.480 ± 0.659. Allele sizes and frequencies ranged from 96 to 357 bp and 0.014 to 0.819, respectively. Average heterozygosity of Nei, effective number (Ne) of alleles and Shannon’s information index (I) were 0.617 ± 0.036, 3.538 ± 0.527 and 1.184 ± 0.112, respectively. The estimates of Ne were less than the Na at all the loci, indicating prevalence of heterozygosity. Polymorphic information content (PIC) ranged from 0.252 (CAUD020) to 0.911 (CAUD019) with an average of 0.562 ± 0.040. Sixteen loci were moderate to highly polymorphic and informative (PIC ˃ 0.5). Chi-square and G-square statistics revealed Hardy-Weinberg disequilibrium at all the loci. Moderate to high level of polymorphism of the studied microsatellites indicated that these markers might be helpful for genetic characterisation and adoption of appropriate conservation strategies to exploit optimum genetic potentiality of indigenous ducks of Tripura.

PMID:37184669 | DOI:10.1007/s11250-023-03629-w

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Nevin Manimala Statistics

Parent Quality of Life scale in Type 1 Diabetes: a scale development and validation study

Eur J Pediatr. 2023 May 15. doi: 10.1007/s00431-023-05023-y. Online ahead of print.

ABSTRACT

The study aimed to develop and evaluate the psychometric properties of the Parental Quality of Life Scale in Type 1 Diabetes for parents. This research was a methodological study. The data of the study were collected between May and July 2021. The study included 201 parents who have a child with type 1 diabetes. Descriptive statistics, Cronbach’s alpha, item-total score analysis, and factor analysis were used to evaluate the research data. In line with the suggestions of the experts, a total of 20 items were removed from the scale and a 12-item scale was created. The scale consists of 12 items and 2 sub-dimensions and shows 62.7% of the total variance. The Cronbach’s alpha value of the scale was found to be 0.91 and its sub-dimensions were more significant than 0.85. According to both explanatory factor analysis and confirmatory factor analysis, all factor loads were more significant than 0.60. Conclusion: The Parental Quality of Life Scale in Type 1 Diabetes was found to be valid and reliable. The scale can be used as a measurement tool in experimental or qualitative studies to be conducted on children with type 1 diabetes and their families. It is recommended to adapt the scale’s psychometric properties to different cultures. What is Known: • The quality of life of parents who have a child with type 1 diabetes may be affected due to the burden of care for the disease. Parents’ low quality of life can negatively affect pediatric patients’ health.. • There is no measurement tool in the literature that directly measures the quality of life of parents who have a child with type 1 diabetes, whose validity and reliability studies have been conducted. What is New: • A measurement tool was developed to evaluate the quality of life of parents with a child with type 1 diabetes. • This measurement tool is valid and reliable.

PMID:37184648 | DOI:10.1007/s00431-023-05023-y

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Nevin Manimala Statistics

Comparisons of statistical methods for handling attrition in a follow-up visit with complex survey sampling

Stat Med. 2023 May 20;42(11):1641-1668. doi: 10.1002/sim.9692. Epub 2023 Mar 7.

ABSTRACT

Design-based analysis, which accounts for the design features of the study, is commonly used to conduct data analysis in studies with complex survey sampling, such as the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). In this type of longitudinal study, attrition has often been a problem. Although there have been various statistical approaches proposed to handle attrition, such as inverse probability weighting (IPW), non-response cell weighting (NRCW), multiple imputation (MI), and full information maximum likelihood (FIML) approach, there has not been a systematic assessment of these methods to compare their performance in design-based analyses. In this article, we perform extensive simulation studies and compare the performance of different missing data methods in linear and generalized linear population models, and under different missing data mechanism. We find that the design-based analysis is able to produce valid estimation and statistical inference when the missing data are handled appropriately using IPW, NRCW, MI, or FIML approach under missing-completely-at-random or missing-at-random missing mechanism and when the missingness model is correctly specified or over-specified. We also illustrate the use of these methods using data from HCHS/SOL.

PMID:37183765 | DOI:10.1002/sim.9692

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Nevin Manimala Statistics

Circulating leptin level in osteoarthritis and associations between leptin receptor polymorphisms and disease susceptibility: A meta-analysis

Int J Rheum Dis. 2023 May 15. doi: 10.1111/1756-185X.14730. Online ahead of print.

ABSTRACT

OBJECTIVE: This study aimed to systemically review the evidence on the relationship between the circulating leptin levels and osteoarthritis (OA), and the association between leptin and leptin receptor (LEPR) polymorphisms and OA susceptibility.

METHODS: To find relevant papers (up to February 2023) examining the association between circulating leptin levels, LEPR polymorphisms, and OA, the PUBMED, EMBASE, and Cochrane databases were searched. We performed a meta-analysis to examine the levels of synovial and serum/plasma leptin in OA patients compared with healthy controls, as well as the relationship between OA and LEPR polymorphisms.

RESULTS: Data from 15 investigations, totaling 2197 patients with OA and 2546 controls, were included in the meta-analysis. There were statistically significant differences in the levels of circulating leptin between the OA and control groups (standardized mean difference [SMD] 2.178, 95% confidence interval [CI] 1.208-3.139, P = 0.001). Leptin levels were also substantially greater in European, Asian, and Arab groups among OA patients. After adjusting for age, sex, and/or body mass index, the leptin levels of patients with OA were significantly higher. Similarly, regardless of sample size (n < 100 and n ≥ 100) or year of publication, leptin levels were considerably higher in the OA group. In addition, the synovial leptin level was greater in the OA group than in the control group (SMD 0.783; 95% CI 0.247-1.319, P = 0.004). In the LEPR rs1137101 polymorphism, the OA and AA genotypes were significantly associated (odds ratio 0.282, 95% CI 0.126-0.629, P = 0.002), according to the meta-analysis. Ethnic stratification revealed an association between OA and the LEPR rs1137101 AA genotype in Asian and Arab populations.

CONCLUSION: The results of this meta-analysis indicate that patients with OA had considerably greater levels of circulating leptin than did control individuals. In addition, synovial leptin levels were greater in OA patients than in healthy individuals, and the LEPR rs1137101 polymorphism was linked to an increased risk of developing OA. These results imply that leptin participates in the onset and progression of OA.

PMID:37183731 | DOI:10.1111/1756-185X.14730

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Nevin Manimala Statistics

Automatic method based on deep learning to identify and account Rhipicephalus microplus larval hatching

Med Vet Entomol. 2023 May 15. doi: 10.1111/mve.12664. Online ahead of print.

ABSTRACT

Reports of Rhipicephalus microplus resistant populations worldwide have increased extensively, making it difficult to control this ectoparasite. The adult immersion test, commonly used to screen for acaricide resistance, produces the results only after 40 days of the tick collection because it needs the eggs to be laid and larvae to hatch. The present study aims to develop an automatic method, based on deep learning, to predict the hatching of R. microplus larva based on egg morphology. Initially, the time course of embryonic development of tick eggs was performed to discriminate between viable and non-viable eggs. Secondly, using artificial intelligence deep learning techniques, a method was developed to classify and count the eggs. The larval hatching rate of three populations of R. microplus was evaluated for the software validation process. Groups of three and six images of eggs with 12 days of embryonic development were submitted to the software to predict the larval hatching percent automatically. The results obtained by the software were compared with the prediction results of the hatching percentage performed manually by the specialist and with the results of the hatching percentage of larvae obtained in the biological assay. The group with three images of each population submitted to the software for automatic prediction of the larval hatching percent presented mean values of 96.35% ± 3.33 (Piracanjuba population), 95.98% ± 3.5 (Desterro population) and 0.0% ± 0.0 (Barbalha population). For groups with six images, the values were 94.41% ± 3.84 (Piracanjuba population), 95.93% ± 2.36 (Desterro population) and 0.0% ± 0.0 (Barbalha population). Biological assays showed the following hatching percentage values: 98% ± 1.73 (Piracanjuba population); 96% ± 2.1 (Desterro population); and 0.14% ± 0.25 (Barbalha population). There was no statistical difference between the evaluated methods. The automatic method for predicting the hatching percentage of R. microplus larvae was validated and proved to be effective, with considerable reduction in time to obtain results.

PMID:37183718 | DOI:10.1111/mve.12664

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Nevin Manimala Statistics

Effects of Atrioventricular Optimization on Left Ventricular Reverse Remodeling With Cardiac Resynchronization Therapy: Results of the SMART-CRT Trial

Circ Arrhythm Electrophysiol. 2023 May 15:e011714. doi: 10.1161/CIRCEP.122.011714. Online ahead of print.

ABSTRACT

BACKGROUND: The role of atrioventricular optimization (AVO) to improve cardiac resynchronization therapy outcomes remains controversial. Previous post hoc analyses of a multicenter trial showed that measures of electrical dyssynchrony (right ventricular-left ventricular [LV] or QLV durations) are associated with patients who benefit from AVO.

METHODS: This was a global, multicenter, prospective, randomized trial of de novo cardiac resynchronization therapy implant patients with an right ventricular-LV duration ≥70 ms to determine whether AVO results in greater reverse remodeling. Patients were randomized 1:1 for either an AVO algorithm (SmartDelay) that determines atrioventricular delay and pacing chamber, biventricular or LV only, or a fixed atrioventricular delay of 120 ms with biventricular pacing. Paired echocardiograms performed at baseline and 6 months were evaluated. The primary end point was echocardiographic cardiac resynchronization therapy response, defined dichotomously as a >15% reduction in LV end-systolic volume.

RESULTS: A total of 310 patients (n=120 women) were randomized and had completed 6 months of follow-up. The echocardiographic cardiac resynchronization therapy response rate did not statistically differ between the groups (SmartDelay, 74.8%; fixed, 67.7%; P=0.17). Analyses of prespecified secondary end points demonstrated significant improvements in the absolute (median: SmartDelay, -41.0 mL; fixed, -33.0 mL; P=0.01) and relative change in LV end-systolic volume (SmartDelay, -38.3%; fixed, -27.8%; P=0.03) for patients with SmartDelay optimization. Similar results were observed for the relative improvement in LV ejection fraction (SmartDelay, 46.7%; fixed, 32.1%; P=0.050); absolute improvement in LV ejection fraction trended to be higher with SmartDelay (P=0.06).

CONCLUSIONS: Analysis of reverse remodeling parameters demonstrated that AVO via SmartDelay, relative to the nonoptimized fixed atrioventricular delay comparator group, improved absolute and relative changes in LV function in patients with longer right ventricular-LV duration.

REGISTRATION: URL: https://www.

CLINICALTRIALS: gov; Unique identifier: NCT03089281.

PMID:37183700 | DOI:10.1161/CIRCEP.122.011714

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Nevin Manimala Statistics

Effect of zinc supplementation in the management of type 2 diabetes: A grading of recommendations assessment, development, and evaluation-assessed, dose-response meta-analysis of randomized controlled trials

Crit Rev Food Sci Nutr. 2023 May 15:1-12. doi: 10.1080/10408398.2023.2209802. Online ahead of print.

ABSTRACT

The question of whether zinc supplementation may improve cardio-metabolic health in patients with type 2 diabetes mellitus (T2DM) remains controversial and require further evaluation. This study aimed to summarize the effectiveness of oral zinc supplementation in improving cardio-metabolic risk markers in people with T2DM. We searched PubMed, Scopus, and Web of Science from inception to April 2023, for randomized controlled trials (RCTs). RCTs of type 2 diabetic adults (aged ≥18 years) comparing zinc supplementation with placebo were included. We excluded studies if not randomized, involved co-supplementation, and were conducted in children or pregnant women. Glycemic indices, lipid profiles, blood pressure, anthropometric measure, c-reactive protein (CRP), creatinine, and serum zinc were extracted. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methods. We used a random-effect model to perform the dose-response analysis. Effect sizes were presented as mean difference (MD) and 95% confidence interval (CI). 22 studies (n = 1442 participants) were included. The certainty of the evidence was rated as moderate to high. Zinc supplementation significantly reduced glycemic indices: including two-hour postprandial glucose (2hpp) (mean difference (MD): -34.34 mg/dl; 95%CI: -51.61∼ -17.07), fast blood sugar (FBS) (MD: -23.32 mg/dl; 95% CI: -33.81∼ -12.83), and hemoglobin A1c (HbA1c) (MD: -0.47; 95% CI: -0.71∼ -0.23). Zinc had a favorable effect on lipid profiles low-density lipoprotein (LDL) (MD: -10.76 mg/dl; CI: -17.79∼-3.73), triglyceride (TG) (MD: -18.23 mg/dl; CI: -32.81∼-3.65), total cholesterol (TC) (MD: -12.74 mg/dl; CI: -21.68∼-3.80), VLDL (MD: -5.39 mg/dl; CI: -7.35∼-3.43) and high-density lipoprotein (HDL) (MD: 4.04 mg/dl; CI: 0.96 ∼ 7.12). Systolic blood pressure (SBP) (MD): -3.64 mmHg; 95% CI: -6.77∼ -0.52), weight (MD: 1.00 kg; 95% CI: 0.34∼1.66), CRP (MD: -3.37 mg/l, 95% CI: -4.05∼ -2.70), and serum zinc (MD: 15.38 µg/dl; 95% CI: 10.74∼ 20.02) changed to a statistically significant extent with zinc supplementation. There was also a linear association between additional 10 mg/d zinc treatment with FBS, HbA1c, HDL, LDL, TG, TC, and serum zinc. A non-linear dose-response gradient was seen for FBS, HDL, and SBP (p < 0.05). Egger’s test showed no substantial publication bias. Our findings strongly suggest a potential beneficial effect of zinc supplementation on type 2 diabetic patients. Further high-quality research is needed to determine the optimal form, dosage, and duration of zinc supplementation for this population.

PMID:37183697 | DOI:10.1080/10408398.2023.2209802

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Impact of COVID-19 on health disparities between migrant and non-migrant households: the case of Dearborn, Michigan

Ethn Health. 2023 May 15:1-17. doi: 10.1080/13557858.2023.2212146. Online ahead of print.

ABSTRACT

OBJECTIVES: Studies on immigration have shown that cultural changes can positively or negatively affect psychological, behavioral, and physical outcomes when different cultures settle into a new host community or country. The majority of research done in the United States and North America has focused on these changes for larger immigrant and minority groups such as Hispanics/Latinos and Asians. However, in the United States, there is a sub-group of immigrants that is largely understudied, resulting in misunderstood data on mental and physical health: Arab Americans. This study assesses mental health disparities between immigrant and non-immigrant populations, before and after COVID-19 restrictions, in Dearborn, MI, a city that has one of the largest concentrations of Arab immigrants in the nation.

DESIGN: Using an online survey instrument, this study assessed mental health disparities before and since COVID-19 restrictions, and stressors induced since the pandemic for immigrants and non-immigrants in Dearborn, MI.

RESULTS: Through inferential statistics and logistic regressions, results indicate that immigrants are less likely to have healthcare coverage, have lower annual incomes, lower educational attainment, and experience continuously higher mental health issues before the pandemic than non-immigrants faced during the pandemic.

CONCLUSION: This study reinforces that the Arab-American immigrant population is a disadvantaged sub-group and faces considerable stress and mental health concerns as an acculturating population. This stress gets exacerbated when a worldwide event such as the COVID-19 pandemic strikes. Oversight of this population’s health issues results in the inability to receive appropriate social services and healthcare that is vital to address this community’s concerns.

PMID:37183694 | DOI:10.1080/13557858.2023.2212146