Correlation Analysis between Serum Vitamin D Levels and Lower Extremity Macrovascular Complications in Individuals with Type 2 Diabetes Mellitus by Mengxue Yang, Jun Liu, Xue Zhou, Heyuan Ding, Jie Xu, Bo Yang, Bowen Sun, Dandan Xiao, Jie Yu, Qihai Gong

“…The correlation between serum 25-hydroxy vitamin D (25(OH)D) levels and lower extremity atherosclerotic disease and the predictive value of 25(OH)D for early-stage lower extremity atherosclerotic disease in patients with type 2 diabetes mellitus (T2DM) were explored. …”
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Individualized prediction of post-acute pancreatitis diabetes mellitus by combining lipid metabolism and anatomical features by Ling Ling Tang, Qi Zhang, Shuang Yi Song, Nian Liu, Qing Lin Du, Shu Ting Zhong, Xiao Hua Huang

“…We evaluated the risk factors of PPDM using univariate and multivariate Cox proportional hazard analysis, established quantitative prediction models for PPDM, and evaluated the predictive value of lipid metabolism and features of the pancreaticobiliary junction. …”
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Rational and reliable diagnosis of periprosthetic hip and knee joint infection using two nuclear-medicine methods: 99mTc-ciprofloxacin and 99mTc-MDP scintigraphy by Pucar Dragan, Janković Zoran, Starčević Srđan

“…Sensitivity, specificity, and predictive values were also calculated. Results. Microbiologically confirmed PJI was found in 16 out of 39 hip prostheses. …”
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ATRIAL FIBRILLATION AND FLUTTER IN HYPERTROPHIC CARDIOMYOPATHY by N. S. Krylova, A. E. Demkina, F. M. Khashieva, E. A. Kovalevskaya, N. G. Poteshkina

“…With the method of binary logistic regression 3 main variables were selected as the most of predictable value for AF: age, LA size, PGmax in OTLV. …”
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Preliminary exploration of prediction model and nomograph drawing of Doppler peak systolic velocity ratio, peak systolic velocity 1 and peak systolic velocity 2 of ophthalmic arter... by Yanxia Yang, Huifang Liu, Siqi Yang, Qianyi Huang, Shaohui Chen

“…ObjectiveTo explore the predictive value of peak systolic velocity (PSV) ratio, PSV1 and PSV2 of ophthalmic artery Doppler in pregnant women for small for gestational age (SGA) infants and to construct a nomogram prediction model.MethodsA total of 201 pregnant women who visited our hospital from March 2022 to June 2024 were selected as the research subjects, and their clinical data and ophthalmic artery Doppler parameters were collected. …”
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Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data by Quan Zhou, Lihua Zhang, Nan Xiang, Lele Zhang, Fuqiang Ma, Fengchang Yu, Shenhui Lv, Zhilin Lu, He-Rong Mao

“…For the first time, it validated the clinical predictive value of TF parameters (FT4, FT3) and TPOAB as key biomarkers.…”
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The role of polymorphism of hemostatic system genes in the risk assessment of the surgical treatment of chronic thromboembolic pulmonary hypertension by I. Yu. Loginova, O. V. Kamenskaya, A. M. Chernyavskij, A. N. Shilova, V. V. Lomivorotov

“…The only factor influencing the results of surgical treatment was the polymorphism of the prothrombin gene (20210 G>A), which showed a high predictive value in assessing the risk of respiratory failure in the early postoperative period of thrombendarterectomy from the branches of the pulmonary artery (OR 3,5 (1,7-18,8) p=0,041). …”
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The correlation between lower limb spasticity and proprioceptive dysfunction in post-stroke patients by Shiai Gao, Zifu Yu, Xihua Liu

“…ObjectiveTo investigate the correlation between lower limb spasticity and proprioception in stroke patients, to analyze the influencing factors of spasticity, and to evaluate the predictive value of musculoskeletal ultrasound parameters on spasticity.MethodsA cross-sectional study was used to enroll 80 stroke patients admitted to the Rehabilitation Center of the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from October 2024 to April 2025. …”
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Comparison of a single high-sensitivity cardiac troponin T measurement with the HEART score for rapid rule-out of acute myocardial infarction in a primary care emergency setting: a... by Sigrun Halvorsen, Ibrahimu Mdala, Dan Atar, Tonje R Johannessen, Odd Martin Vallersnes, Anne Cecilie K Larstorp

“…With no AMIs in this group, the negative predictive value (NPV) and sensitivity were both 100.0% (95% CI 99.4% to 100.0% and 94.1% to 100.0%, respectively), and the specificity 34.5% (32.2% to 36.8%). …”
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Relationship between glucose response curve shape during the oral glucose tolerance test and macrovascular complications in type 2 diabetes mellitus by Rong Ouyang, Han Zhang, Xiaoqin Zhao, Renyue Hu, Yi Sun, Wei Chen, Chen Qian, Yunjuan Gu, Xinlei Wang

“…Abstract Introduction This study evaluated the predictive value of glucose response curve shape during the oral glucose tolerance test (OGTT) for macrovascular complications in patients with type 2 diabetes mellitus (T2DM). …”
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

“…Measures such as accuracy, sensitivity, specificity, negative and positive predictive values and area under the receiver operating characteristics curve (AUC-ROC) were used for the model performance. …”
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Indicators of insulin resistance as predictors of 28-day mortality in patients with VA-ECMO: a retrospective study by You Zhou, Zhi Cheng, Pingping Gu, Yu Zhang, Wanying Xu, Xin Wang

“…BackgroundInsulin resistance is closely related to adverse outcomes in critical illness, but its predictive value in patients with cardiogenic shock receiving venous-arterial extracorporeal membrane oxygenation (VA-ECMO) remains unclear.MethodsPatients with cardiogenic shock who received VA-ECMO treatment were retrospectively included. …”
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Predicting mortality in adults with suspected infection in a Rwandan hospital: an evaluation of the adapted MEWS, qSOFA and UVA scores by Jennifer Rickard, Amanda Klinger, Ariel Mueller, Tori Sutherland, Christophe Mpirimbanyi, Elie Nziyomaze, Jean-Paul Niyomugabo, Zack Niyonsenga, Daniel S Talmor, Elisabeth Riviello

“…The predictive capacity of each score was assessed including sensitivity, specificity, positive and negative predictive value, OR, area under the receiver operating curve (AUROC) and performance by underlying risk quartile.Results We screened 19 178 patient days, and enrolled 647 unique patients. …”
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Association Between Triglyceride‐Glucose Index and Breast Cancer: A Systematic Review and Meta‐Analysis by Diar Zooravar, Hanieh Radkhah, Bahareh Shateri Amiri, Pedram Soltani

“…ABSTRACT Background and Aims The triglyceride‐glucose (TyG) index, a surrogate marker for insulin resistance and metabolic syndrome, has been implicated in breast cancer (BC) risk. However, its predictive value remains controversial. This systematic review and meta‐analysis assessed the association between the TyG index and BC risk, its role in differentiating malignant from benign breast lesions, and its potential prognostic significance. …”
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The relationship between the anatomical location of the left lumbar segmental artery and the course of the contralateral (right) segmental artery in oblique lumbar interbody fusion... by Worawat Limthongkul, Peeradon Jaruprat, Maruay Tanayavong, Weerasak Singhatanadgige, Wicharn Yingsakmongkol, Vit Kotheeranurak

“…Notably, the anterior position of the left segmental artery demonstrated a high predictive value for the contralateral artery's location at L4 (R = 0.882) and L5 (R = 0.804). …”
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Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis by Jun Huang, Jun Huang, Zhuo Liu, Zhuo Liu, WeiPeng Feng, YuanLing Huang, XinChun Cheng

“…The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, LightGBM); Decision curve analysis. …”
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Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke by Rongrong Lu, Zhen Pang, Tianhao Gao, Zhijie He, Yiqian Hu, Jie Zhuang, Qin Zhang, Zhengrun Gao

“…Functional MRI was used to examine brain activation patterns during upper limb tasks, while Granger causality analysis and machine learning evaluated inter-regional connectivity changes and their predictive value for recovery. Results Multi-FDBK-BCI training led to significantly greater motor recovery compared to conventional therapy. …”
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Immunohistochemical‐Based Molecular Typing of ACRG Combined With Immune‐Associated PD‐L1 Expression Can Predict the Prognosis of Gastric Cancer by Fang Li, Huiyan Deng, Zeqing Hu, Zihao Chen, Huirui Zhang, Jiankun He, Xiaoxiao Wang, Yueping Liu

“…PD‐L1 positivity correlated with worse survival outcomes, with independent predictive value alongside ACRG subtypes (HR for PD‐L1 = 1.759, p = 0.001; HR for ACRG = 5.144, p < 0.001). …”
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Systematic review and meta-analysis of risk scores in prediction for the clinical outcomes in patients with acute variceal bleeding by Ling Yang, Rui Sun, Ning Wei, Hong Chen

“…We aimed to conduct a meta-analysis of the predictive value of GBS, AIMS65, Rockall (clinical Rockall score and full Rockall score), CTP and MELD.Method PubMed, Web of Science, Embase, Cochrane library, WANGFANG and CNKI were searched. …”
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Performance of a novel computer‐aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic I... by Ejaz Hossain, Mohamed Abdelrahim, Andrea Tanasescu, Masayoshi Yamada, Hiroko Kondo, Shijemi Yamada, Ryuji Hamamoto, Atsushi Marugame, Yutaka Saito, Pradeep Bhandari

“…Sensitivity, negative predictive value and accuracy for diminutive polyps on white light imaging (WLI) and image‐enhanced endoscopy (IEE) when assessed by CADx was 90.9% [95% confidence interval (CI) 77.3–100] and 95.8% [95% CI 87.5–100], 80% [95% CI 44.4–97.5] and 90.9% [95% CI 58.7–99.8], 84.8% [95% CI 72.7‐97] and 84.6% [95%CI 71.8‐94.9], respectively, compared to 48.1% [95%CI 37.7–59.1] and 72% [95% CI 62.5–81], 37.5% [95% CI 28.8–46.8] and 55% [95% CI 44.7–65.0], 53.7% [95% CI 44.2–63.2] and 66.7% [95% CI 59.7–73.3] when assessed by endoscopists. …”
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