Threshold scores for treatment success after reverse shoulder arthroplasty using Oxford Shoulder, Constant-Murley and University of California Los Angeles scores by Najim Yusof, Sheng Xu, Lie Tijauw Tjoen Denny

“…Conclusion: The OSS, CMS and UCLA shoulder score have good predictive value for treatment success after reverse shoulder arthroplasty.…”
Get full text

Urea application to improve the efficiency of hydrochloric acid treatments of carbonate reservoirs by Roman A. Vaganov, Vladimir A. Zhigarev, Svetlana S. Kositsyna, Daniil D. Chernykh

“…They assessed the expected effect from the use of urea in hydrochloric acid treatments of carbonate reservoirs and the predicted values of the increase in oil production after hydrochloric acid treatments with urea. …”
Get full text

Estimation of micro-extraction process hippuric acid for toluene exposure monitoring in urine samples by Behnaz Sarani, Mashaallah Rahmani, Ahmad Reza Abbasian

“…The suggested model showed strong validation, evidenced by adjusted R² = 0.9888, high recovery rates, low error in confirmation runs (1.37–2.09%), and consistent predicted values. The model demonstrated satisfactory recovery rates, emphasizing its potential for analyzing urine samples as an indicator of toluene exposure. …”
Get full text

Routine Genetic Testing of Germline Breast Cancer Susceptibility ─ Challenges and Opportunities by Cornelia Leo, Kathrin Schwedler, Rosaria Condorelli, Nicole Bürki, Jens Huober, Khalil Zaman, Christian Kurzeder, Marcus Vetter

“…Information on germline BRCA (g*BRCA*) 1/2 pathogenic or likely pathogenic mutations has predictive value for response to platinating agents and poly(ADP-ribose) polymerase inhibitors (PARPi) and survival outcomes of breast cancer (BC) patients. …”
Get full text

Predicting Real-World Physical Activity in Multiple Sclerosis: An Integrated Approach Using Clinical, Sensor-Based, and Self-Reported Measures by Patrick G. Monaghan, Michael VanNostrand, Taylor N. Takla, Nora E. Fritz

“…This study evaluates the predictive value of combining sensor-derived clinical measures and participant-reported outcomes to better forecast prospective physical activity levels in individuals with MS. …”
Get full text

Personalized Organoid-Based Treatments in Older Patients with Cancer: A Registry Study in Progress by Pirmin Häuptle, Kirsten Mertz, Michèle Voegeli, Robert Rosenberg, Emanuel Burri, Svetozar Subotic, Anna Romanens, Anne Leuppi-Taegtmeyer, Christian Regenbrecht, Lena Wedeken, Marcus Vetter

“…Clinical trials have demonstrated a high predictive value and statistically significant correlation between the patient’s clinical response and tumor organoid response in different cancer types. …”
Get full text

Role of Magnetic Resonance Arthrography (MRA) in the Diagnosis of Shoulder Injuries by Prateek Awasthi, Abhishek Dwivedi, Satveer S. Choudhary

“…In comparison with the gold standard for arthroscopy, the sensitivity (Sn), positive predictive value (PPV), and diagnostic accuracy (DA) of MRA for diagnosing shoulder injuries were evaluated. …”
Get full text

PLASMA LEPTIN LEVELS IN METABOLIC SYNDROME PATIENTS WITH ISCHEMIC HEART DISEASE by O. M. Drapkina, R. N. Shepel, T. A. Deeva

“…To assess leptin level in blood serum of patients with metabolic syndrome (MS), including comorbidity with ischemic heart disease (IHD), to reveal possible predictive value of this marker for IHD development in MS. …”
Get full text

Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

“…This study systematically compares conventional and modern machine learning models for milk yield prediction and evaluates the influence of climatic variability in Switzerland (moderate climate) and Thailand (tropical climate) using the same analytical framework.Five models—linear regression, ridge regression, gradient boosting regression, AdaBoost, and LightGBM—are tested with various feature sets, including Day-in-Milk, individual and combined meteorological variables, and three lagged milk yield values to assess their predictive value. Model performance is further analyzed on sub-datasets stratified by breed and parity range to explore climate effects in more homogeneous groups.The results demonstrate that simple models perform comparably to complex ones, with gradient boosting regression consistently outperforming other boosting methods. …”
Get full text

Assessment of podocyte detachment as a pivotal step in the development of focal segmental glomerulosclerosis by Ikbal Ahmed Abdo Elkholy, Wagdi Elkashef, Fatma El-Husseini Mostafa, Amany Hassan

“…Conclusion Standardized reporting of detached podocyte cells is becoming mandatory as they have a high positive predictive value for the expected EM picture.…”
Get full text

Performance Predictors in Elite Athletes: Evaluating the Role of Eccentric Utilization Ratio and Mechanical Power Outputs by Selman Kaya, Mehmet Ersöz

“…In conclusion, although EUR demonstrated limited predictive value particularly in male athletes directly measured strength–power variables appear to be more reliable indicators of athletic performance. …”
Get full text

Developing serum proteomics based prediction models of disease progression in ADPKD by Hande Ö. Aydogan Balaban, Sita Arjune, Franziska Grundmann, Jan-Wilm Lackmann, Thomas Rauen, Philipp Antczak, Roman-Ulrich Müller

“…The final outcome prediction model (adjusted R² 0.31) contains six proteins, namely Endothelial Plasminogen Activator Inhibitor (SERPINF1), Glutathione Peroxidase 3 (GPX3), Afamin (AFM), FERM Domain Containing Kindlin-3 (FERMT3), Complement Factor H Related 1 (CFHR1), and Retinoic Acid Receptor Responder 2 (RARRES2), the predictive value of which is independent from the clinical and imaging parameters currently used in clinical care. …”
Get full text

Accuracy of D-Dimers to Rule Out Venous Thromboembolism Events across Age Categories by G. Der Sahakian, Y. E. Claessens, J. C. Allo, J. Kansao, G. Kierzek, J. L. Pourriat

“…However, sensitivity and negative predictive value remained at very high level in each age category including older patients. …”
Get full text

A NON-INVASIVE MARKER OF INSULIN RESISTANCE IN PATIENTS WITH OBESITY by N. G. Veselovskaya, G. A. Chumakova, A. V. Ott, O. V. Gritsenko

“…To investigate the association between the thickness of epicardial fat tissue (tEFT) and IR and to determine the predictive value and threshold levels of tEFT for the diagnostics of IR. …”
Get full text

Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad by Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda

“…Additionally, the predicted values were used to calculate the power output of a photovoltaic (PV) system, as well as its efficiency and the energy that could be stored. …”
Get full text

Brief Communication: Maternal Plasma Autoantibodies Screening in Fetal Down Syndrome by Karol Charkiewicz, Monika Zbucka-Kretowska, Joanna Goscik, Slawomir Wolczynski, Adam Lemancewicz, Piotr Laudanski

“…The second step was to create a classifier of Down syndrome pregnancy, which includes 14 antibodies. The predictive value of the classifier (specificity and sensitivity) is 100%, classification errors, 0%, cross-validation errors, 0%. …”
Get full text

Morphology-based selective breeding strategy analysis for abdominal meat yield in Procambarus clarkii by Qishuai Wang, Qian Hu, Siqi Yang, Ruixue Shi, Feifei Zheng, Xiaolong Liu, Jiangfeng Huang, Yanhe Li

“…And the optimal prediction model constructed based on K value was a quadratic curve, with R2 values of 0.684 for males and 0.590 for females, and correlation coefficients of 0.827 and 0.768 between observed and predicted values for males and females, respectively. The results of the abdominal meat yield selective breeding experiment, utilizing the optimal prediction model, demonstrated that the breeding population exhibited favorable morphological variation as expected. …”
Get full text

Procalcitonin and C-reactive protein - early predictors of low colorectal anastomotic leakage by Yu. A. Shelygin, M. A. Tarasov, M. A. Sukhina, I. V. Zarodnyuk, Ye. G. Rybakov

“…AL rate, difference in PCT and CRP levels in patients with AL and consistent anastomosis were assessed along with sensitivity, specificity, positive and negative predictive value of these markers. Results. AL was diagnosed in 20% (20 of 100) of patients: in 11% (11 of 100) - with clinical manifestations, in 9% (9 of 100) - without clinical symptoms (contrast leakage according to X-ray study). …”
Get full text

Impact of the “L” score from the RENAL nephrometry score on RAPN surgical outcomes in medial versus lateral renal tumors by Yasuhiro Numata, Hiroki Ito, Seiichiro Honda, Kota Kobayashi, Ryosuke Jikuya, Tomoyuki Tatenuma, Go Noguchi, Daiki Ueno, Mitsuru Komeya, Yusuke Ito, Kentaro Muraoka, Kazuki Kobayashi, Hisashi Hasumi, Kazuhide Makiyama

“…In conclusion, significance of the “L” score on surgical outcomes differs between medial and lateral tumors and it is strongly associated with outcomes in medial tumors, whereas its predictive value in lateral tumors is less marked. The RENAL nephrometry score lacks differentiation between medial and lateral tumors; therefore, surgeons should interpret “L” scores with caution.…”
Get full text

A clinically applicable AI system for detection and diagnosis of bone metastases using CT scans by Yun Zhang, Jiao Li, Qiuxia Yang, Shaohan Yin, Jing Hou, Xiaohuan Cao, Shanshan Ma, Bin Wang, Ma Luo, Fan Zhou, Jiahui Xu, Shiyuan Wang, Yi Wu, Jian Zhang, Xiao Luo, Zehong Yang, Weimei Ma, Daiying Lin, Yiqiang Zhan, Xiang Sean Zhou, Xiaoping Yu, Dinggang Shen, Rong Zhang, Chuanmiao Xie

“…BLDS improves radiologists’ lesion-wise sensitivity by 22.2% in BM detection and reduces reading time by 26.4%, while maintaining 90.2% patient-wise sensitivity and 98.2% negative predictive value in real-world validation (n = 54,610). …”
Get full text