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  1. 2201

    Abstract 062: N20 Potential And Imaging Biomarkers Of Functional Recovery In Acute Ischemic Stroke Patients And EVT by Alicia Martinez Piñeiro, Giuseppe Lucente, María Hernandez‐Perez, Jordi Cortés, Andrea Arbex, Meritxell Gomis Cortina, Laura Dorado Bouix, Natalia Pérez de la Ossa, Alba Ramos‐Fransi, Miriam Almendrote, Carlos Castaño, Sebastián Remollo, Maria Rosa García Sort, Patricia Cuadras Collsamata, Mónica Millán, Antoni Dávalos

    Published 2023-11-01
    “…Collaterals were not evaluated in the conventional angiography since we did not perform a full study to shorten the time to thrombus access. The adjusted predictive value of N20 for functional recovery was analyzed by logistic regression and compared with imaging variables by using receiver operating characteristic curves. …”
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  2. 2202

    Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

    Published 2025-07-01
    “…Our data indicated no added predictive value of Y chromosomal DNAm markers in our best-performing prediction model, even though we acknowledged the potential of applying Y chromosomal markers for age prediction. …”
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  3. 2203

    Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivari... by Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan

    Published 2025-05-01
    “…Comparative analysis demonstrated that RDW exhibited greater predictive value over the aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and SII. …”
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  4. 2204

    A Multi-Algorithm Machine Learning Model for Predicting the Risk of Preterm Birth in Patients with Early-Onset Preeclampsia by Xu Y, Zu Y, Zhang Y, Liang Z, Xu X, Yan J

    Published 2025-08-01
    “…Yanhong Xu,1,* Yizheng Zu,2,* Ying Zhang,1,* Zewei Liang,1 Xia Xu,1,3– 5 Jianying Yan1,3– 5 1College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, People’s Republic of China; 2The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, People’s Republic of China; 3Fujian Clinical Research Center for Maternal-Fetal Medicine, Fuzhou, Fujian, People’s Republic of China; 4Laboratory of Maternal-Fetal Medicine, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, People’s Republic of China; 5National Key Obstetric Clinical Specialty Construction Institution of China, Fuzhou, Fujian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xia Xu, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, People’s Republic of China, Email xuxia0623@fjmu.edu.cn Jianying Yan, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, People’s Republic of China, Email yanjy2019@fjmu.edu.cnPurpose: To analyze the risk factors for preterm birth in patients with early-onset preeclampsia (EOPE) based on multi-algorithm machine learning and to construct a predictive model to explore the predictive value of the model.Methods: A retrospective analysis was conducted on 442 EOPE patients from a single tertiary center, divided into preterm birth (< 37 weeks, n=358) and term-born (≥ 37 weeks, n=84) groups. …”
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  5. 2205

    Comparison of [99mTc]Tc-FAPI SPECT/CT and [18F]FDG PET/CT as predictive biomarkers for immunotherapy response in gastrointestinal cancer by Yu Zhang, Hong Chen, Dajia Lin, Zhiyi Lin, Jiyun Shi, Hannan Gao, Chenshen Huang, Fangqing Xue, Fan Wang, Wenxin Chen

    Published 2025-05-01
    “…For diagnostic accuracy in a total of 253 lesions in 78 patients, compared with [18F]FDG PET/CT, [99mTc]Tc-FAPI SPECT/CT demonstrated a higher sensitivity (100% [15 of 15 lesions] vs. 20% [3 of 15]; P < 0.001), accuracy (100% [48 of 48 lesions] vs. 75% [36 of 48];P < 0.001), and negative predictive value (100% [33 of 33 lesions] vs. 69% [36 of 48 lesions]; P = 0 0.001) in detecting peritoneal spread, and a higher sensitivity (85% [17 of 20 lesions] vs. 50% [10 of 20]; P = 0.041) in detecting liver metastases. …”
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  6. 2206

    Systemic inflammatory and oxidative stress biomarkers as predictors of pain in sequential bilateral phacoemulsification for age-related cataract by Peng Yin, Peng Yin, Liyuan Wang, Yongsheng Hou, Yang Huang, Dawei Sun, Dewang Shao

    Published 2025-07-01
    “…A novel cataract pain prediction model, along with correlation analysis and receiver operating characteristic (ROC) curves, was developed to assess the diagnostic and predictive value of these biomarkers.ResultsThe second-eye surgery group demonstrated significantly elevated levels of systemic inflammatory markers (NLR, MLR, CRP, IL-6, and IL-8) and oxidative stress indicator (SOD) compared to first-eye patients (all P &lt; 0.05). …”
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  7. 2207

    The novel triglyceride‒glucose-weighted adjusted waist index as a supplementary diagnostic tool for heart failure: evidence of improved reclassification beyond traditional TyG-rela... by Yuqin Fan, Dan Ye, Kebin Zhou, Lu Cai, Longhui Yu

    Published 2025-08-01
    “…However, further validation in large-scale prospective cohorts is warranted to confirm its long-term predictive value and generalizability across diverse populations. …”
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  8. 2208

    PLAGL2 as a prognostic biomarker and an EMT-promoting factor in PDAC by Yan-Hui Yang, Hao Wang, Zhe-Hua Xing, Qian-Qian Bai, Wei-Feng Liu, Da-Huan Li, Chi Zhang, Shu-Min Zhang, Fang-Fei Liu, Yu-Bo Liu, Hua Fan

    Published 2025-07-01
    “…We subsequently examined the expression of PLAGL2 via immunohistochemistry and PCR in PDAC tumor tissue samples from our hospital, explored the relationships between PLAGL2 expression and clinical features, and evaluated the predictive value of PLAGL2 for the survival of PDAC patients. we investigated the effect of PLAGL2 on the epithelial‒mesenchymal transition (EMT) process by examining its association with the expression of EMT-related proteins. …”
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  9. 2209

    Define a good prognosis of RNF43 codon 659-mutated and concomitant genomic signatures in CRC: an analysis of the cBioPortal database by Feng Wang, Li Lin, Zhongkang Li, Lei Qin, Shuai Zhang, Xueqing Hu, Yunbo Zhao, Yingying Huang

    Published 2025-08-01
    “…All mutation data were filtered by the 1021-panel (Geneplus-Beijing, China), and the processed data were used to analyze the predictive value of RNF43-mutated to OS and concomitant co-mutations. …”
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  10. 2210

    Right ventricular dysfunction for prediction of long‐term recovery in de novo HFrEF : a PROLONG‐II substudy by Aiste Monika Jakstaite, Johanna Mueller‐Leisse, Henrike A.K. Hillmann, Stephan Hohmann, Jörg Eiringhaus, Udo Bavendiek, Tibor Kempf, Christian Veltmann, Johann Bauersachs, David Duncker, D. Berliner

    Published 2025-06-01
    “…Abstract Aims To analyse the predictive value of advanced markers of right ventricular (RV) function and RV‐pulmonary arterial (PA) coupling in forecasting long‐term left ventricular (LV) improvement in de novo heart failure with reduced ejection fraction (HFrEF). …”
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  11. 2211

    Altered albumin/neutrophil to lymphocyte ratio are associated with all-cause and cardiovascular mortality for advanced cardiovascular-kidney-metabolic syndrome by Xiaoshuang Yin, Jinmei Zou, Jing Yang

    Published 2025-07-01
    “…RCS analysis indicated an L-shaped link between ANLR and both ACM and CVM, both before and after PSM (all Pnon-linearity &lt; 0.001). The predictive value of ANLR, NLR, and ALB for CVM and ACM in individuals with advanced CKM syndrome demonstrated that ANLR and NLR exhibited comparable predictive capabilities for both ACM and CVM, outperforming ALB. …”
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  12. 2212

    Optimasi Convolutional Neural Network Untuk Deteksi Covid-19 pada X-ray Thorax Berbasis Dropout by I Gede Totok Suryawan, I Putu Agus Eka Darma Udayana

    Published 2022-06-01
    “…It proved that when this system was tested with COVID-19 thorax x-ray public database data, the classifier that used this architecture could achieve an accuracy rate of 95.20% followed by precision and recall value reaching 94.80% and 94.80%. respectively and last but not least F-score of 95.18% and Negative Predictive value of 95.60%  It could also save training time up to 62% compared to other deep learning architectures. …”
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  13. 2213

    Associations of different insulin resistance-related indices with the incidence and progression trajectory of cardiometabolic multimorbidity: a prospective cohort study from UK bio... by Zhenyu Tian, Lu Yang, Yifei Li, Yueqing Huang, Jianmin Yang, Fei Xue

    Published 2025-06-01
    “…The study aimed to examine the influence of IR-related indices on the incidence, predictive value, and progression trajectory of cardiometabolic multimorbidity (CMM), as well as potential biological mechanisms. …”
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  14. 2214

    Novel post-translational modification learning signature reveals B4GALT2 as an immune exclusion regulator in lung adenocarcinoma by Ge Zhang, Zhenfa Zhang, Lianmin Zhang, Guangyao Zhou, Pengpeng Zhang, Dingli Wang, Shuai Jiang

    Published 2025-02-01
    “…The role of B4GALT2 in immune exclusion was investigated through in vivo and in vitro experiments.Results The established PTMLS exhibited exceptional predictive capabilities in LUAD patient outcomes, surpassing the efficacy of 98 existing LUAD prognostic indicators. The system’s predictive value was validated across diverse malignancy categories for immunotherapeutic response assessment. …”
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  15. 2215

    Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children. by Ezio Bonifacio, Andreas Beyerlein, Markus Hippich, Christiane Winkler, Kendra Vehik, Michael N Weedon, Michael Laimighofer, Andrew T Hattersley, Jan Krumsiek, Brigitte I Frohnert, Andrea K Steck, William A Hagopian, Jeffrey P Krischer, Åke Lernmark, Marian J Rewers, Jin-Xiong She, Jorma Toppari, Beena Akolkar, Richard A Oram, Stephen S Rich, Anette-G Ziegler, TEDDY Study Group

    Published 2018-04-01
    “…The risk (positive predictive value) for developing multiple islet autoantibodies (pre-symptomatic type 1 diabetes) and type 1 diabetes was determined in 4,543 children who had no first-degree relatives with type 1 diabetes and either a heterozygous HLA DR3 and DR4-DQ8 risk genotype or a homozygous DR4-DQ8 genotype, and in 3,498 of these children in whom genetic scores were calculated from 41 single nucleotide polymorphisms. …”
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  16. 2216
  17. 2217

    The advanced lung cancer inflammation index has an L-shaped association with prognosis in American adults with metabolic dysfunction-associated fatty liver disease: a cohort study by Yuexia Lu, Shuaipeng Yuan, Huazhao Xu, Jiqi Ouyang, Jinsheng Dong, Xin Jiang, Xiao Shao, Runshun Zhang

    Published 2025-07-01
    “…Our study aims to find the relationship between advanced lung cancer inflammation index (ALI) levels and the prognosis of patients with MAFLD and to determine the predictive value of ALI in this context.MethodsMultivariate-adjusted Cox regression models were used to analyze the association between ALI and all-cause, cardiovascular, cancer, and diabetes-related mortalities in patients with MAFLD. …”
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  18. 2218

    Diagnostic accuracy of CADe-assisted reading versus clinician reading for polyp detection in colon capsule endoscopy: a multicentre prospective study by Ian Io Lei, Nicolas Parsons, Cristiana Huhulea, Hagen Wenzek, Elizabeth White, Pablo Laiz, Charlie Noble, Alexander Robertson, Anastasios Koulaouzidis, Ramesh Arasaradnam

    Published 2025-07-01
    “…The per-polyp sub-analysis evaluated 1,803 polyps, examining sensitivity, positive predictive value and the impact of different factors on AI-assisted accuracy performance. …”
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  19. 2219

    Red flags for depression and PTSD following acute myocardial infarction: the role of early psychological symptoms by Omid Amouzadeh-Ghadikolai, Dirk von Lewinski, Jolana Wagner-Skacel, Sabrina Mörkl, Dietmar Enko, Birgit M. Harb, Hans-Bernd Rothenhäusler, Melanie Schweinzer, Moritz Platzer, Leonhard Harpf, Angelika Wagner-Kronberger, Günter Klug, Andreas Baranyi

    Published 2025-04-01
    “…This study provides the identification of early psychological symptoms after AMI and evaluates their predictive value for the subsequent development of AMI-related depression and PTSD. …”
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  20. 2220

    Meta‐analysis of cardiac magnetic resonance in prognosticating left ventricular function in peripartum cardiomyopathy by Hawani Sasmaya Prameswari, William Kamarullah, Raymond Pranata, Iwan Cahyo Santosa Putra, Alberta Claudia Undarsa, Mohammad Iqbal, Triwedya Indra Dewi, Nuraini Yasmin Kusumawardhani, Mohammad Rizki Akbar, Astri Astuti

    Published 2025-02-01
    “…On the contrary, CMR conducted early (<2.8 months) exhibited a greater predictive value for myocardial oedema perceived by T2 mapping [RR = 3.44 (95% CI = 1.04–11.34); P = 0.043]. …”
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