Non-pharmacological interventions targeting working memory in mild cognitive impairment: a systematic review and meta-analysis by Seyed Sahaf, Zanireh Salimi, Reza Bidaki

“…Working memory (WM) plays a critical role of in cognitive functioning and and has predictive value for daily activities. The aim of the study was to evaluate the effects of non-pharmacological cognitive interventions on WM in individuals with mild cognitive impairment (MCI); it includes a meta-analysis aimed at evaluating the effectiveness of various interventions intended to enhance WM in MCI patients. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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Using Prediction Confidence Factors to Enhance Collaborative Filtering Recommendation Quality by Dionisis Margaris, Dimitris Spiliotopoulos, Kiriakos Sgardelis, Costas Vassilakis

“…In this paper, we introduce an advanced collaborative filtering recommendation algorithm that upgrades the quality of the recommendations that are produced by considering, along with the rating prediction value of the items computed by the plain collaborative filtering procedure, a number of confidence factors that each rating prediction fulfills. …”
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Clinical and Fundamental Research Progressions on Tumor-Infiltrating Lymphocytes Therapy in Cancer by Jiandong Hu, Mengli Jin, Weihong Feng, Barbara Nassif-Rausseo, Alexandre Reuben, Chunhua Ma, Gregory Lizee, Fenge Li

“…This review aims to explore recent advancements in the understanding of TILs biology, their prognostic implications, and their predictive value in therapeutic contexts.…”
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Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women by Hanpei Miao, Sian Liu, Zehua Wang, Yu Ke, Linling Cheng, Wenyao Yu, Dihui Yu, Kang Zhang, Yuanxu Gao, Zhuo Sun

“…Lower AMH levels correlated with earlier reproductive aging milestones, emphasizing the predictive value of retinal aging. Genetic data from genome-wide association studies further supported these associations and enhanced AMH prediction through multimodal modeling. …”
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PTSD course and predictors in a 15 year longitudinal cohort following suspected serious injury by Jeanet F. Karchoud, Chris M. Hoeboer, Irina Karaban, Joanne Mouthaan, Marit Sijbrandij, Miranda Olff, Rens van de Schoot, Mirjam van Zuiden

“…Early post-trauma predictors had predictive value up to 12–15 years. This suggests that early risk identification of one-year PTSD and subsequent effective early interventions also hold long-term beneficial effects for PTSD outcome.…”
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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. …”
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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. …”
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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). …”
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Tailoring clinical management after embryo transfer using β-hCG levels in resource-limited settings by Swati Dhar, Prashanth Adiga, Anjali Mundkur, Vidyashree Ganesh Poojari, Pratap Kumar

“…Receiver operating characteristic (ROC) curve analysis confirmed its strong predictive value. By reducing the need for frequent monitoring, this single-test approach helps ease the emotional, financial, and logistical burdens patients face during IVF treatment. …”
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Remnant cholesterol predicts the development of type 2 diabetes in patients with nonalcoholic fatty liver disease by Liping Yang, Hangkai Huang, Zejun Wang, Chengfu Xu

“…Abstract Background The predictive value of serum remnant cholesterol in cardiovascular disease has been widely recognized. …”
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Factors influencing the implementation of Integrated Management of Neonatal and Childhood Illness (IMNCI) by nurses in Bhutan: A predictive correlational study by Sonam Pelden, Autchareeya Patoomwan, Tipawan Daramas

“…Results: Nurse management skill was the only significant predictor of IMNCI implementation (β = 0.321, p <0.001), while other variables such as supplies/resources, supervision, attitude, years of service, training, and workload showed no significant predictive value. The model explained 16.8% of the variance in IMNCI implementation. …”
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