Categories
Nevin Manimala Statistics

Evaluation of zinc oxide nanoparticle coated elastomeric modules and it’s effect on Streptococcus mutans concentration and enamel mineralization – A randomized split mouth trial

Sci Rep. 2025 Jul 21;15(1):26474. doi: 10.1038/s41598-025-11709-0.

ABSTRACT

To assess the long term effects of zinc oxide (ZnO) nanoparticle coated elastomeric modules on S. mutans concentration and enamel mineralization among orthodontic patients over a period of one year. A total of 16 patients were recruited for this study. Either the left or right maxillary lateral incisor received the coated module. Group I : ZnO coated elastomeric modules (N = 16); Group II: Non-coated elastomeric modules (N = 16). S. mutans in plaque was assessed at the end of 3 months and one year using Rt -PCR. Enamel mineralization was assessed by laser fluorescence at the end of one year. Integrity of the ZnO nanoparticle coating over a period of one month on a weekly basis was also assessed. Independent t-test was done to find the significant difference between the bivariate samples and intra-group comparison was done using paired t-test. Pearson’s correlation was done to determine the relationship between the variables. For all the statistical tests, p < 0.05 was considered to be statistically significant. S. mutans concentration at the end of three months and one year was higher in the non-coated group compared to the coated group but it was statistically significant only at the end of one year (p value = 0.032). Laser fluorescence values was higher for the non-coated group compared to the coated group which showed statistical significance (p = 0.020). ZnO coating of the modules showed evidence of disintegration of the coating after two weeks, with further deterioration of the coating at the end of one month. As elastomeric modules are changed periodically, this appears to be a viable option, especially since the nanoparticle release would be around the most common area of plaque retention.

PMID:40691696 | DOI:10.1038/s41598-025-11709-0

Categories
Nevin Manimala Statistics

An ensemble deep learning model for author identification through multiple features

Sci Rep. 2025 Jul 21;15(1):26477. doi: 10.1038/s41598-025-11596-5.

ABSTRACT

One of the challenges in the natural language processing is authorship identification. The proposed research will improve the accuracy and stability of authorship identification by creating a new deep learning framework that combines the features of various types in a self-attentive weighted ensemble framework. Our approach enhances generalization to a great extent by combining a wide range of writing styles representations such as statistical features, TF-IDF vectors, and Word2Vec embeddings. The different sets of features are fed through separate Convolutional Neural Networks (CNN) so that the specific stylistic features can be extracted. More importantly, a self-attention mechanism is presented to smartly combine the results of these specialized CNNs so that the model can dynamically learn the significance of each type of features. The summation of the representation is then passed into a weighted SoftMax classifier with the aim of optimizing performance by taking advantage of the strengths of individual branches of the neural network. The suggested model was intensively tested on two different datasets, Dataset A, which included four authors, and Dataset B, which included thirty authors. Our method performed better than the baseline state-of-the-art methods by at least 3.09% and 4.45% on Dataset A and Dataset B respectively with accuracy of 80.29% and 78.44%, respectively. This self-attention-augmented multi-feature ensemble approach is very effective, with significant gains in state-of-the-art accuracy and robustness metrics of author identification.

PMID:40691694 | DOI:10.1038/s41598-025-11596-5

Categories
Nevin Manimala Statistics

3D printing improves preoperative decision making for patient positioning and surgical approach selection for tibial plateau fractures

Sci Rep. 2025 Jul 22;15(1):26513. doi: 10.1038/s41598-025-11995-8.

ABSTRACT

Treatment of complex tibial plateau fractures remains a challenging task in clinical practice. Sufficient and appropriate preoperative decision making is essential for optimal treatment success and ultimately influences patient outcomes. Recently, the novel technique of 3D printing has proven to be beneficial for the preoperative management in other joint regions. To investigate the impact of point-of-care 3D printing on the preoperative management of tibial plateau fractures, we asked 5 students, 10 surgical residents, 3 junior surgeons and 4 senior surgeons, to simulate the preoperative planning of 22 tibial plateau fractures (11 AO B and 11 AO C fractures) regarding the treatment concept, patient positioning, operative approach and implant selection and positioning. First with CT scans only, second with 3D volumetric reconstructions, and finally with 3D printed fracture models. We analyzed the inter- and intraobserver agreement and the subjective perceived confidence of the rater regarding his decision with the different imaging modalities across the different levels of professional experience. Statistics were performed using kappa values, percentage match (PM) analysis and a univariate one-way analysis of variance. The use of 3D printing had no effect on the interobserver reliability of treatment concept selection (PM CT 83% > 3DCT 83% > 3D 82%). However, descriptively higher kappa and percentage match values increased for agreement on patient positioning and surgical approach using 3D printed fracture models. In addition, the raters selected the implants that were actually used to treat the fractures in 63% of the cases. The subjective perceived certainty of the raters increased with the use of 3D printing technology from 45% (CT and 3DCT) to 60% (3D). Additionally, raters changed their treatment plan in 36% of the cases and gained additional information 76% of the time when using the 3D printed specimen. The use of 3D printed fracture models showed a trend toward higher interrater reliability of patient positioning and surgical approach for medical students and surgical residents, while experienced surgeons show less benefit. In addition, 3D-printed models supported implant pre-selection and increased subjective confidence, positively influencing preoperative planning.

PMID:40691693 | DOI:10.1038/s41598-025-11995-8

Categories
Nevin Manimala Statistics

Serum levels of trace elements in patients with prostate cancer: a systematic review and meta-analysis

Cancer Causes Control. 2025 Jul 21. doi: 10.1007/s10552-025-02041-z. Online ahead of print.

ABSTRACT

BACKGROUND: Prostate cancer (PC) is a major health concern and may be influenced by trace elements (TEs) like copper, selenium, manganese, and iron. This study aimed to analyze the difference in serum levels of these TEs in PC patients versus healthy controls.

METHODS: A comprehensive search for relevant literature was conducted across PubMed, Embase, Scopus, and Google Scholar, including studies up to December 2024. Data was analyzed using RevMan software, with standardized mean differences (SMDs) and 95% confidence intervals (CIs) for effect size. Subgroup analysis was carried out based on the method used to measure serum levels.

RESULTS: This study analyzed data from 12 articles, including serum copper levels in 11, selenium in 8, manganese in 4, and iron in 6. Serum copper levels were significantly higher in PC patients compared to controls (SMD: 1.85; 95% CI [0.85, 2.86]; p = 0.0003). In contrast, serum selenium levels were substantially lower in PC patients (SMD: – 2.45; 95% CI [- 3.84, – 1.05]; p = 0.0006). Although alterations were observed in serum manganese (SMD: – 0.57; 95% CI [- 2.61, 1.47]; p = 0.58) and iron (SMD: 0.63; 95% CI [- 1.51, 2.76]; p = 0.57) levels, these changes did not reach statistical significance. Subgroup analysis based on measurement methods revealed statistically significant differences between subgroups for copper, selenium, and iron, while no substantial subgroup difference was found for manganese.

CONCLUSION: The study identified significant changes in serum copper and selenium levels in PC patients, indicating their potential as biomarkers and enhancing our understanding of TE involvement in PC.

PMID:40691674 | DOI:10.1007/s10552-025-02041-z

Categories
Nevin Manimala Statistics

The influence of rotational thromboelastometry (ROTEM) on operating room and intensive care transfusion practices in major trauma bleeding: a prospective cohort study with historical control

Perioper Med (Lond). 2025 Jul 21;14(1):75. doi: 10.1186/s13741-025-00562-4.

ABSTRACT

BACKGROUND: Despite advances in treatment, hemorrhage remains one of the leading causes of early death in trauma. Rapid, personalized treatment of coagulopathy in this population should therefore be a priority. The introduction of viscoelastic hemostatic assays may improve transfusion strategies.

METHODS: This prospective observational study aimed to compare the efficacy of a ROTEM-guided hemostatic treatment protocol for trauma patients with a historical control group who had received conventional coagulation testing. The study included adults with multiple trauma requiring transfusion (≥ 1 unit of RBC within 12 h). The aim was to compare transfusion requirements in the operating room, on the 1st and 2nd ICU days, the rate of massive transfusion, and the overall outcome. The data obtained were stored in a database and analyzed using Statistica™ 13.3 (Stat Soft Polska). A p-value < 0.05 was considered significant. Study was registered retrospectively at researchregistry.com (RR10995).

RESULTS: A total of 78 patients were compared. The number of RBC units transfused in the OR and on the 1st ICU day decreased significantly after implementation of the ROTEM treatment protocol (p = 0.01, p = 0.04). Fewer patients in the study group required RBC transfusion on the 1st and 2nd ICU days (p = 0.01, p = 0.003), as well as the number of patients requiring FFP transfusion in all examined periods of time (p = 0.02, p = 0.006, p = 0.01). While FFP use per patient in the OR and on the 1st ICU day was lower, it was not statistically significant. Fibrinogen substitution in the OR remained similar, but more patients from the study group received it on the 1st ICU day (13 vs. 5, p = 0.04). The need for other blood products and coagulation factors remained unchanged. MT incidence decreased significantly in the first 24 h (p = 0.02), while 30-day mortality remained unchanged.

CONCLUSIONS: The introduction of the ROTEM- guided hemostatic treatment protocol in trauma resulted in a changes in transfusion requirements and a reduction in the incidence of MT. ROTEM can be a useful clinical tool in the rapid and targeted management of bleeding trauma patients.

TRIAL REGISTRATION: Researchregistry.com (RR10995).

PMID:40691642 | DOI:10.1186/s13741-025-00562-4

Categories
Nevin Manimala Statistics

Benchmarking ML in ADMET predictions: the practical impact of feature representations in ligand-based models

J Cheminform. 2025 Jul 21;17(1):108. doi: 10.1186/s13321-025-01041-0.

ABSTRACT

This study, focusing on predicting Absorption, Distribution, Metabolism, Excretion, and Toxicology (ADMET) properties, addresses the key challenges of ML models trained using ligand-based representations. We propose a structured approach to data feature selection, taking a step beyond the conventional practice of combining different representations without systematic reasoning. Additionally, we enhance model evaluation methods by integrating cross-validation with statistical hypothesis testing, adding a layer of reliability to the model assessments. Our final evaluations include a practical scenario, where models trained on one source of data are evaluated on a different one. This approach aims to bolster the reliability of ADMET predictions, providing more dependable and informative model evaluations.Scientific contributionThis study provided a structured approach to feature selection. We improve model evaluation by combining cross-validation with statistical hypothesis testing, making results more reliable. The methodology used in our study can be generalized beyond feature selection, boosting the confidence in selected models which is crucial in a noisy domain such as the ADMET prediction tasks. Additionally, we assess how well models trained on one dataset perform on another, offering practical insights for using external data in drug discovery.

PMID:40691635 | DOI:10.1186/s13321-025-01041-0

Categories
Nevin Manimala Statistics

Gustatory thresholds and obesity: a comparative study of five main tastes

BMC Nutr. 2025 Jul 21;11(1):142. doi: 10.1186/s40795-025-01125-y.

ABSTRACT

BACKGROUND: Obesity is an important public health concern, which has dramatically grown in the last decades. Taste sensation determines food preferences and could contribute to obesity. Considering the conflicting results about the association of gustatory threshold and overweight/obesity status of individuals, this study designed to compare gustatory threshold of five main tastes (sweet, umami, salty, bitter, and sour) among individuals with overweight/obesity and with a normal BMI.

METHODS: In this case-control and population-based study, 100 adults participated, divided into two equal number of normal and overweight/obese groups. To measure gustatory threshold of sweet, umami, salty, bitter, and sour tastes, solutions of sucrose, monosodium glutamate, sodium chloride, quinine hydrochloride and citric acid were prepared respectively. Three millimeters of each solution was dropped on the right side of the posterior tongue, and the same volume of distilled water was dropped on the left side. The concentration at which the participant perceived the taste was considered the gustatory threshold. The data was analyzed in SPSS software version 22 with the Mann-Whitney test and Spearmen correlation coefficient.

RESULTS: No statistically significant differences were observed between the gustatory thresholds of the five main tastes among participants with normal BMI and with overweight/obesity. Moreover, among the numerical value of BMI and perceived concentrations of each of the tastes, no association was found (p value > 0.05).

CONCLUSIONS: According to the findings obtained from this study, no significant statistical difference in gustatory threshold of five main tastes was observed among individuals with overweight/obesity and normal weight.

PMID:40691631 | DOI:10.1186/s40795-025-01125-y

Categories
Nevin Manimala Statistics

Student Perspectives on Marketing the Podiatry Profession and Course Promotion: A Mixed Methods Study

J Foot Ankle Res. 2025 Sep;18(3):e70063. doi: 10.1002/jfa2.70063.

ABSTRACT

BACKGROUND: The decline in podiatry student enrolments at universities across Australia and New Zealand presents a workforce crisis that threatens the profession’s sustainability and the delivery of essential healthcare services to communities. Recent data highlight a limited understanding of the podiatry profession among allied health students. There is now a clear need for strategies to address negative stereotypes and to build knowledge of the profession’s scope of practice, career opportunities, job prospects and earning potential. As part of a larger research initiative, this study explored student perspectives on marketing the podiatry profession to increase student enrolments.

METHODS: A convergent mixed methods study design was employed. Participants included students enrolled in (i) podiatry and (ii) relevant ‘non-podiatry’ health, sport or science programs at nine Australian universities and one New Zealand university. Data were collected via an online survey (278 podiatry students and 553 non-podiatry students responding) and two online workshops with nine first-year podiatry students. Quantitative data were analysed using descriptive statistics and regression models, while qualitative data underwent inductive thematic analysis by three independent assessors. We integrated the data by exploring the connections between the quantitative and qualitative findings.

RESULTS: Findings revealed that over 40% of podiatry students had initial concerns about their course and 34.2% had considered leaving. Instagram and Facebook were identified as the most influential social media platforms for sourcing information about courses and careers. Four over-arching themes emerged as important marketing strategies for increasing student enrolments: (i) enhance the visibility, perception and advocacy of podiatry; (ii) emphasise holistic and diverse practice in podiatry; (iii) enable early exposure and experience of podiatry practice and (iv) improve course entry pathways and flexibility.

CONCLUSIONS: An evidence-based approach is required to enhance the visibility and appeal of podiatry as a career. Strategies should focus on addressing misconceptions about the discipline, expanding promotional efforts to broader audiences, leveraging relevant media platforms, reducing financial and academic barriers for prospective students, and improving study flexibility. Strengthening enrolments and reducing attrition are fundamental to ensuring the sustainability and growth of the podiatry profession in Australia and New Zealand.

PMID:40691626 | DOI:10.1002/jfa2.70063

Categories
Nevin Manimala Statistics

Lower socioeconomic status is associated with recurrent shoulder instability before surgical shoulder stabilization

J Orthop Surg Res. 2025 Jul 21;20(1):689. doi: 10.1186/s13018-025-06110-6.

ABSTRACT

BACKGROUND: Social determinants of health (SDOH) encompass social and economic factors that influence healthcare access and outcomes. In orthopaedic surgery, disparities in SDOH contribute to unequal access to care and differences in post-surgical recovery. Prior studies indicate that an increased number of preoperative shoulder dislocations raises the likelihood of recurrent instability following stabilization procedures. However, limited research explores the association between SDOH and preoperative dislocation frequency. This study examines how SDOH factors influence the number of shoulder dislocations before surgical intervention.

METHODS: Patients that underwent shoulder instability surgery at a single center in a large metropolitan area between January 1, 2021, and April 30, 2023, were identified. Patients’ demographic and social determinant variables were extracted using the electronic medical record. Socioeconomic status was assessed using the Social Vulnerability Index (SVI) and the Area Deprivation Index (ADI), based on patient zip codes. Statistical analyses, including univariate and multivariate regression models, evaluated predictors of multiple dislocations before surgery, focusing on factors such as age, body mass index (BMI), and socioeconomic indicators.

RESULTS: Among 106 patients, 54% identified as White, 29% as Black, and 17% as other. Thirty-eight (35.8%) had a single dislocation before surgery, while 68 (64.2%) experienced multiple instability events. Univariate analysis showed younger age (odds ratio [OR] 0.94, P = 0.02), lower BMI (OR 0.90, P = 0.02), higher SVI (OR 1.21, P = 0.006), and higher ADI (OR 6.04, P = 0.003) were associated with recurrent instability. Multivariate analysis confirmed lower BMI (OR 1.15, P = 0.02) and higher ADI (OR 7.46, P = 0.02) as independent predictors.

CONCLUSIONS: Lower socioeconomic status, as measured by ADI, is an independent predictor of a higher likelihood of recurrent instability before surgery. Recognizing these relationships can motivate surgeons to create pathways to prevent these treatment disparities among shoulder instability patients.

LEVEL OF EVIDENCE: III retrospective cohort study.

PMID:40691624 | DOI:10.1186/s13018-025-06110-6

Categories
Nevin Manimala Statistics

The association between poor dental health and gastric cancer risk: a nationwide cohort and sibling-controlled study

BMC Med. 2025 Jul 21;23(1):434. doi: 10.1186/s12916-025-04273-x.

ABSTRACT

BACKGROUND: Poor dental health has been linked to an increased risk of gastric cancer (GC), but previous studies were limited by their retrospective design and relatively small sample size.

METHODS: We followed a nationwide cohort of 5,888,034 Swedish adults over the age of 19 who visited a dentist between 2009 and 2016. Additionally, a nested case-control study was conducted by comparing incident GC cases to their siblings. Cox regression analyses, using attained age as the timescale and adjusting for potential confounders, were performed to evaluate the association between various dental health conditions and the risk of GC. In addition, we stratified our analyses by sex and age and conducted various sensitivity analyses to ensure the robustness of our findings.

RESULTS: Over an average follow-up of 6.4 years, we identified 3993 new GC cases, including 1241 cardia GC and 2752 non-cardia GC. Compared to individuals with healthy teeth, those with periodontitis had an 11% and 25% increased risk of GC and cardia GC, respectively. The positive associations between odontogenic inflammation and the risk of GC were consistent in sibling-controlled analyses. We also observed a dose-response relationship between the number of remaining teeth and the risk of GC, with fewer teeth associated with higher risks. Additionally, we did not find significant interactions between dental inflammatory conditions and the number of remaining teeth in relation to the risk of GC or its subtypes. Our findings were consistent across different sex and age subgroups and in sensitivity analyses.

CONCLUSIONS: This study provides the largest prospective cohort study evidence to date, along with the first sibling-controlled comparisons, supporting the association between poor dental health and GC risk. Promoting dental health in the general population could have significant public health implications in preventing this disease.

PMID:40691605 | DOI:10.1186/s12916-025-04273-x