Correlating Quantitative Fecal Immunochemical Test Results with Neoplastic Findings on Colonoscopy in a Population-Based Colorectal Cancer Screening Program: A Prospective Study by Neal Shahidi, Laura Gentile, Lovedeep Gondara, Jeremy Hamm, Colleen E. McGahan, Robert Enns, Jennifer Telford

“…The Canadian Partnership Against Cancer (CPAC) recommends a fecal immunochemical test- (FIT-) positive predictive value (PPV) for all adenomas of ≥50%. We sought to assess FIT performance among average-risk participants of the British Columbia Colon Screening Program (BCCSP). …”
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Differences in hematocrit-to-plasma albumin ratio as a predictor of severe maternal morbidity in hypertensive disorders of pregnancy: a retrospective cohort study by Yihua Ni, Liying Zhong, Huale Zhang, Xiaoyan Xiu

“…Multivariate logistic regression, threshold effect analysis, and receiver operating characteristic (ROC) curve evaluation were used to assess the predictive value of HCT-ALB and other clinical indicators. …”
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Lipoprotein transport and metabolism markers in patients with myocardial infarction in the Biobank of Yugra blood sample collection by A. S. Vorobyov, M. Yu. Donnikov, O. S. Glotov, L. V. Kovalenko, K. Yu. Nikolaev, I. A. Urvantseva, Yu. A. Drenina, A. V. Morozkina, G. N. Chernysheva

“…To evaluate clinical associations and predictive value of lipoprotein transport and metabolism markers determined in a collection of serum samples from patients with myocardial infarction (MI).Material and methods. …”
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CD63 and GLUT-1 Overexpression Could Predict a Poor Clinical Outcome in GIST: A Study of 54 Cases with Follow-Up by Piotr Lewitowicz, Jarosław Matykiewicz, Dorota Koziel, Magdalena Chrapek, Agata Horecka-Lewitowicz, Stanislaw Gluszek

“…The goal of the present study was an analysis of CD9, CD63, and GLUT-1 as a marker of hypoxia status within 54 cases of GIST and evaluation of their predictive value. Methods. 54 cases of patients suffering from GIST were enrolled into the study, predominantly in the gastric location. …”
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Plasma thrombin-antithrombin complex as a candidate biomarker for coronary slow flow by Jian-hong Mo, Bo Liang, Jing-tao Cen, Wan-ying Li, Yong-an Mo, Ming-cheng Tang, Dong Ye, Qiu-xia Long, Xun Hu, Xun Hu, Yuan-sheng Zhai, Yuan-sheng Zhai

“…Logistic regression analyses and a receiver operating characteristic (ROC) curve were performed to determine the predictive value of TAT for CSF.ResultsCompared with patients without CSF, patients with CSF showed higher plasma levels of TAT complex, total cholesterol, and low-density lipoprotein cholesterol, all of which were also positively correlated with TFC. …”
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P2Y12 Receptor on the Verge of a Neuroinflammatory Breakdown by Susanna Amadio, Chiara Parisi, Cinzia Montilli, Alberto Savio Carrubba, Savina Apolloni, Cinzia Volonté

“…We suggest that modulation of P2Y12 expression might play a dual role as analytic marker of branched/surveillant microglia and demyelinating lesions, thus potentially acquiring a predictive value under neuroinflammatory conditions as those found in ALS and MS.…”
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Evaluation of Diagnostic Value in Using a Panel of Multiple Tumor-Associated Antigens for Immunodiagnosis of Cancer by Peng Wang, Chunhua Song, Weihong Xie, Hua Ye, Kaijuan Wang, Liping Dai, Yi Zhang, Jianying Zhang

“…In different types of cancer, the ranges of positive and negative likelihood ratio were 4.07–4.76 and 0.39–0.51, respectively, and the ranges of positive and negative predictive values were 74.2–88.7% and 58.8–75.8%, respectively. …”
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Risk factors and diagnostic markers for acute coronary syndrome in chronic kidney disease by L. A. Kamyshnikova, D. S. Pisankina, K. S. Gorbachevskaya, G. V. Biryukov, M. S. Sviridova, I. V. Kalashnikova

“…In addition, CKD itself is the initiator of acute coronary syndrome (ACS), the prevalence of which is greater, the more pronounced the impairment of kidney function and the more concomitant risk factors in the patient.Aim. To study the predictive value of various laboratory and instrumental markers in identifying the risk of developing ACS in patients with CKD.Materials and methods. …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…Furthermore, SA-Fit introduces explicit functions with a lasso penalty to fit variations in high-dimensional meteorological data, achieving the prediction of a large amount of data with minimal prediction values. We performed experiments using the ERA5 dataset from the Shanghai and Xi’an regions. …”
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Early alpha power in the frontal lobe area can predict delirium after cardiac surgery by Fengbo Pei, Xupeng Yang, Pengfei Chen, Jinhua Wei, Yao Yao, Zhou Zhao, Hui Wu, Yi Shi, Zujun Chen

“…This study aimed to assess the predictive value of alpha power in various brain regions at different time points for postoperative delirium. …”
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PD-L1 on Circulating Tumor Cells Indicates Poor Prognosis in Breast Cancer by Xue-fei Wang, Guo-chao Zhang, Sha-fei Wu, Jia-xin Li, Qiang Sun

“…Besides, the best cell type for determining the prognostic and predictive values of PD-L1 has not been established. This study investigated associations between PD-L1 on tumor cells (TCs), CTCs, and tumor-infiltrating immune cells (TIICs), respectively, and prognosis and clinicopathological features in breast cancer. …”
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Hyperlaxity and low bone mass predispose young female gymnasts to develop scoliosis suspected status by Gali Dar, Liav Elbaz, Tamar Vilnai, Danny Ben-Zvi, Mor Grinstein, Nili Steinberg

“…A logistic regression model for the prediction of scoliosis suspected status in gymnasts using age, bone strength, and hyperlaxity had a high predictive value (AUC = 0.87). The scoliosis suspected status was highly prevalent in young female gymnasts. …”
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A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma by Yaoting Sun, He Wang, Lu Li, Jianbiao Wang, Wanyuan Chen, Li Peng, Pingping Hu, Jing Yu, Xue Cai, Nan Yao, Yan Zhou, Jiatong Wang, Yingrui Wang, Liqin Qian, Weigang Ge, Mengni Chen, Feng Yang, Zhiqiang Gui, Wei Sun, Zhihong Wang, Minghua Ge, Yi He, Guangzhi Wang, Yongfu Zhao, Huanjie Chen, Xiaohong Wu, Yuxin Du, Wenjun Wei, Fan Wu, Dingcun Luo, Xiangfeng Lin, Haitao Zheng, Xin Zhu, Bei Wei, Jiafei Shen, Jincao Yao, Zhennan Yuan, Tong Liu, Jun Pan, Yifeng Zhang, Yangfan Lv, Qiaonan Guo, Qijun Wu, Tingting Gong, Ting Chen, Shu Zheng, Jingqiang Zhu, Hanqing Liu, Chuang Chen, Hong Han, Sathiyamoorthy Selvarajan, Michael Mingzhao Xing, Kennichi Kakudo, Erik K Alexander, Yijun Wu, Yu Wang, Dong Xu, Hao Zhang, Xiu Nie, Oi Lian Kon, N Gopalakrishna Iyer, Zhiyan Liu, Yi Zhu, Haixia Guan, Tiannan Guo, We-TEC Investigators

“…It exhibited a 95.7% negative predictive value for ruling out malignancy. This study presents a promising protein-based approach for the differential diagnosis of FTA and FTC, potentially enhancing diagnostic accuracy and clinical decision-making.…”
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Optimization of Enzymatic Hydrolysis Process and Characterization of ACE Inhibitory Peptide from Squid Skin by Zhe ZHANG, Lingyun MA, Fanfan SHANG, Yihui LIU, Qingchao XIE, Yong ZHAO

“…Under these parameters, the ACE inhibitory rate of the hydrolyzed squid skin product reached 88.22%±1.28%, closely with the predicted value. The IC50 for the ACE inhibitory rate of the squid skin peptides was calculated to be 2.839 mg/mL, with a molecular weight distribution predominantly below 3 kDa, accounting for 93.68% of the total. …”
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Diagnostic accuracy of visual triage checklist in early recognition of COVID-19 cases in the pediatric population: A retrospective cohort study by Ayesha Imtiaz, Abdullah Y. Akkam, Lulwah H. AlThumali, Ahlam M. AlHarthi, Honey G. Porte, Wesal S. AlOsaimi, Maha M. A. AlAsmari, Rawda B. G. Salih, Biswadev Mitra

“…The visual triage checklist had a sensitivity of 94.3% (95% CI: 87.2–98.1) and a specificity of 16.0% (95% CI: 14–18) with an area under the receiver operating characteristic curve of 0.55 (0.53–0.58). The positive predictive value of the checklist was low at 7.35% (95% CI: 5.9–9.0). …”
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Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery by Jaeyeon Chung, Jinyoung Bae, Seyong Park, Dong Hyouk Kim, Youn Joung Cho, Karam Nam, Yunseok Jeon, Jae-Woo Ju

“…The Seoul National University Hospital-Nutrition Screening Index (SNUH-NSI) is an automated screening tool designed to comprehensively assess malnutrition risk. However, its predictive value in patients undergoing cardiac surgery remains unvalidated. …”
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Triglyceride glucose waist circumference and non alcoholic fatty liver disease: a systematic review and meta analysis by Ziyi Xin, Lanlan Feng, Qingwen Yu, Yongmin Shi, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Xingwei Zhang, Mingwei Wang, Jiake Tang

“…The triglyceride glucose-waist circumference (TyG-WC) index, a novel measure for assessing IR, may hold significant predictive value for NAFLD. However, the relationship between TyG-WC and the risk of NAFLD remains elusive. …”
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Comparative assessment of sarcopenia screening tools for patients with bone tumors: insights for enhanced clinical application by Jun Yu, Jun Yu, Qiongyao Guan, Yanyu Chen, Lan Zhou, Jian Chen, Yingchun Zeng

“…Positive and negative predictive values were moderate across tools, with combined screening methods generally improving sensitivity. …”
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Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

“…Compared with the actual values, the root-mean-square error (RMSE) and the correlation coefficient of the predicted values are 9.7 <inline-formula> <tex-math notation="LaTeX">$\times \,\,10^{-3}$ </tex-math></inline-formula> dB and 99.84&#x0025;, respectively. …”
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Targeting AKR1B1 inhibits metabolic reprogramming to reverse systemic therapy resistance in hepatocellular carcinoma by Qi Wang, Juan Liu, Ming Yang, Jun Zhou, Yaxuan Li, Jingjing Zheng, Hao Jia, Shuhua Yue, Yinpeng Le, Yuxin Su, Wenrui Ma, Ni An, Yunfang Wang, Jiahong Dong

“…The secretory nature of AKR1B1 not only underscores its predictive value but also facilitates the intercellular transmission of drug resistance. …”
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