Assessing the Predictive Capabilities of Autoregressive Integrated Moving Average and Linear Regression Models for Acute Changes in Clinical and Selected Laboratory Parameters in C... by Sharmin Nahar Sharwardy, Hasan Sarwar, Mohammad Nurul Akhtar Hasan, Mohammad Zahidur Rahman

“…It was found that the ARIMA model had a lower error rate than the linear regression model. (4) Conclusions: This study helps identify the important parameters for predicting and monitoring patients’ statuses in the ICU, with the ultimate goal of providing physicians with an early warning system to anticipate deterioration in clinical and biochemical parameters. …”
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Spatial autocorrelation with environmental factors related to tuberculosis prevalence in Nepal, 2020–2023 by Roshan Kumar Mahato, Kyaw Min Htike, Alex Bagas Koro, Rajesh Kumar Yadav, Vijay Sharma, Alok Kafle, Suvash Chandra Ojha

“…Conclusions Environmental factors significantly influence the spatial distribution of TB in Nepal. …”
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Development and Validation of a Nomogram to Predict Ventricular Fibrillation During Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction by Ruifeng Liu, Xiangyu Gao, Jihong Fan, Huiqiang Zhao

“…Conclusions: This study identified diabetes, NLR, RCA intervention, Gensini score, and absence of beta-blocker use as key predictors of VF during PCI in AMI patients. …”
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Image Fusion of High-Resolution DynaCT and T2-Weighted MRI for Image-Guided Programming of dDBS by Fadil Al-Jaberi, Matthias Moeskes, Martin Skalej, Melanie Fachet, Christoph Hoeschen

“…Manual landmark-based alignment based on anatomical landmarks and evaluation metrics such as Target Registration Error (TRE) assessed alignment accuracy. <b>Results:</b> The registration method successfully aligned all images. …”
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Evaluation of dimensional accuracy, flexural strength and surface roughness of 3D-printable denture base resin modified with different concentrations of cerium oxide nanoparticles:... by Ibrahim A. Mohamed, Mohamed sherine El Attar, Sonia M. El Shabrawy, Eman Zaghloul Alrafah

“…Results Regarding printing accuracy specimens there was a statistically significant deviation between the control group and the 1% cerium oxide group in length and width percent error (%). there was no significant effect on flexural strength in all the groups. …”
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Evaluating the effectiveness of mass drug administration on lymphatic filariasis transmission and assessment of post-mass drug administration surveillance in Nigeria’s Federal Capi... by Juliana Ajuma Amanyi-Enegela, Joseph Kumbur, Faizah Okunade, Donald Ashikeni, Rinpan Ishaya, Girija Sankar, William Enan Adamani, Moses Aderogba, Louise Makau-Barasa, Achai Emmanuel, Bosede Eunice Ogundipe, Chinwe Okoye, Babar Qureshi

“…Data collection adhered to standardized WHO guidelines, utilizing both paper-based and electronic data-capture tools to enhance accuracy and reduce human error. Results A total of 6,448 children participated in surveys across the four EUs, with gender distribution closely balanced (53% male, 47% female). …”
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Patient-specific fluid–structure simulations of anomalous aortic origin of right coronary arteriesCentral MessagePerspective by Michael X. Jiang, MD, MEng, Muhammad O. Khan, PhD, Joanna Ghobrial, MD, Ian S. Rogers, MD, Gosta B. Pettersson, MD, PhD, Eugene H. Blackstone, MD, Alison L. Marsden, PhD

“…Conclusions: Patient-specific FSI modeling of AAORCA is a promising, noninvasive method to assess the iFR reduction caused by intramural geometries and inform surgical intervention. …”
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Ocular Biometry in Preterm Newborns in the Neonatal Intensive Care Unit Environment of a Referral Hospital by Ricardo Salles Cauduro, MD, PhD, Nilva Simeren Bueno de Moraes, MD, PhD, Ana Lucia Goulart, MD, PhD, Norma Allemann, MD, PhD

“…Additional evaluation parameters included refraction using retinoscopy to determine the refractive error, indirect ophthalmoscopy with 28 diopter lenses, and pediatric biometric parameters recorded in the medical record. …”
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Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis by Benyang Xiao, Yuxiang Zhou, Zhirui Zhang, Xindi Wang, Jiali Xiang, Zhixin Lv, Miao Liao, Haibo Luo, Feng Song

“…Validated by an independent testing set consisting of 44 samples (13–66 years), the model achieved a mean absolute error (MAE) of 4.39 years, outperforming some advanced linear and nonlinear models. …”
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Evaluation of the Accuracy of FreeStyle Libre 2 for Glucose Monitoring in White New Zealand Rabbits by Minseok Choi, Yeon Chae, Jayeon Park, Yelim Lee, Kyung‐Mee Park, Dong‐Hyuk Jeong, Byeong‐Teck Kang, Taesik Yun, Hakhyun Kim

“…Conclusions There was limited agreement between the FSL2 and reference standard BG measurements. …”
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

“…We used 5-fold cross-validation to tune the models and assessed performance using accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and mean absolute error (MAE). For external validation, we used 1,472 reactions previously analyzed by 17 laboratory scientists as part of an external quality assessment for a multisite study. …”
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Genome-wide association study of retinopathy in individuals without diabetes. by Richard A Jensen, Xueling Sim, Xiaohui Li, Mary Frances Cotch, M Kamran Ikram, Elizabeth G Holliday, Gudny Eiriksdottir, Tamara B Harris, Fridbert Jonasson, Barbara E K Klein, Lenore J Launer, Albert Vernon Smith, Eric Boerwinkle, Ning Cheung, Alex W Hewitt, Gerald Liew, Paul Mitchell, Jie Jin Wang, John Attia, Rodney Scott, Nicole L Glazer, Thomas Lumley, Barbara McKnight, Bruce M Psaty, Kent Taylor, Albert Hofman, Paulus T V M de Jong, Fernando Rivadeneira, Andre G Uitterlinden, Wan-Ting Tay, Yik Ying Teo, Mark Seielstad, Jianjun Liu, Ching-Yu Cheng, Seang-Mei Saw, Tin Aung, Santhi K Ganesh, Christopher J O'Donnell, Mike A Nalls, Kerri L Wiggins, Jane Z Kuo, Blue Mountains Eye Study GWAS Team, CKDGen Consortium, Cornelia M van Duijn, Vilmundur Gudnason, Ronald Klein, David S Siscovick, Jerome I Rotter, E Shong Tai, Johannes Vingerling, Tien Y Wong

“…SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9) on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3±0.23 (beta ± standard error), p = 6.6×10(-9). Evidence suggests this was a false positive finding. …”
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Reliability and Accuracy of Linear Position Transducers During the Bench Press and Back Squat: Implications for Velocity-Based Training by Raynier Montoro-Bombú, Armando Costa, Paulo Malico Sousa, Valter Pinheiro, Pedro Forte, Luis Monteiro, Alex S. Ribeiro, Luis Rama

“…For all variables, the absolute reliability presented significant values (<i>p</i> ≤ 0.05), with an intraclass correlation coefficient ≥ 0.995, a 95% confidence interval between 0.992–0.999, a coefficient of variation ≤ 10%, and a standard error of the mean ≤ 0.031. <b>Conclusions:</b> Scientists and coaches can use the LPT device as a reliable tool for monitoring velocity-based training by providing rigorous measurements of ∆S, MPV, PV, and T–PV during BP and SQ exercises. …”
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Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

“…Interpretation remains subjective and vulnerable to error. Recognition of patient’s evolving clinical status as well as the impact of therapeutic interventions may be delayed. …”
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Electrocardiogram Abnormality Detection Using Machine Learning on Summary Data and Biometric Features by Kennette James Basco, Alana Singh, Daniel Nasef, Christina Hartnett, Michael Ruane, Jason Tagliarino, Michael Nizich, Milan Toma

“…Traditional interpretation methods are manual, time-consuming, and prone to error. Machine learning offers a promising alternative for automating the classification of electrocardiogram abnormalities. …”
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Diagnostic informative value of liquid-based cytology optimized with genetic methods for the differential diagnosis of precancerous and malignant diseases of the cervix by O. I. Kit, A. Yu. Maksimov, M. Yu. Timoshkova, E. A. Lukbanova, N. A. Petrusenko, D. S. Potemkin, E. V. Verenikina, A. N. Shevchenko, M. M. Kecheryukova

“…Statistical analysis was performed using descriptive statistics methods with the calculation of the mean and standard error of the mean. The mean values were compared with the help of the Mann-Whitney test.Results. …”
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Distinct risks of exacerbation and lung function decline between never-smokers and ever-smokers with COPD by Heemoon Park, Soo Min Jo, Kwang Nam Jin, Hyo Jin Lee, Hyun Woo Lee, Tae Yun Park, Eun Young Heo, Deog Kyeom Kim, Jung-Kyu Lee

“…Never-smokers with COPD had significantly lower risks of subsequent moderate to severe exacerbation (β ± standard error, − 0.4 ± 0.12; P = 0.001), any exacerbation (adjusted odds ratio, 0.46; 95% confidence interval, 0.26 − 0.8; P = 0.006), and frequent exacerbation (adjusted odds ratio, 0.28; 95% confidence interval, 0.09 − 0.89; P = 0.03) than ever-smokers with COPD. …”
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An Evaluation of the Accuracy of a Flash Glucose Monitoring System in Children with Diabetes in comparison with Venous Blood Glucose by Bingyan Cao, Rui Wang, Chunxiu Gong, Di Wu, Chang Su, Jiajia Chen, Yajun Yi, Min Liu, Xuejun Liang, Wenjing Li

“…The accuracy was evaluated against venous BG, with 469 of 469 (100.0%) sensor and venous BG pairs within consensus error grid zones A and B, including 94.7% in zone A. …”
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Preserving Trial Endpoint Specificity and Cause of Death Attribution in Cardiovascular Trials by Shea E. Hogan, MD, MSCS, Mario Enrico Canonico, MD, PhD, Robert W. King, MD, Cecilia C. Low Wang, MD, Mark R. Nehler, MD, Jessica Parr, MD, R. Kevin Rogers, MD, MSc, Wentao Lu, PhD, John Albanese, Elliot S. Barnathan, MD, Alex C. Spyropoulos, MD, James D. Douketis, MD, Marc P. Bonaca, MD, MPH, Warren H. Capell, MD

“…The readjudicated MARINER primary endpoint using only confirmed fatal VTE events revealed a HR of 0.46 (95% CI: 0.23-0.91) vs the original HR of 0.76 (95% CI: 0.52-1.1). Conclusions: This post-hoc, exploratory analysis of endpoint design demonstrates that designing specific trial endpoints can minimize the risk of type II error. …”
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Nurses' self-efficacy and outcome expectancy in evidence-based practice: Translation, construct validity and internal consistency of the Dutch scales by Peter Hoegen, Michael Echteld, Cindy de Bot, Annemarie de Vos, Derya Demirçay, Mary-Anne Ramis, Lidwine Mokkink, Hester Vermeulen

“…Significant chi-square tests and high correlations between weighted and unweighted scores support using unweighted scores over utilizing the estimated model to calculate weighted scores. Conclusions: Construct validity and internal consistency of the Dutch Self-efficacy and Outcome Expectancy in EBP Scales are good. …”
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