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  1. 1001

    Evaluation of the implementation of the EWARS Mobile epidemiological surveillance tool in Sudanese refugee camps in Eastern Chad: a retrospective and population-based surveillance... by Stephane Tewo, Balde Thierno, Freddy M. Banza, Idriss M. Mahamat, N'dri K. Eric-Didier, Djinguebey N. Raoul, John Otokoye Otshudiema, Castilla Echenique Jorge, Moussa Brahimi, Djoumbarina Maina, Evers Egmond, Marcel Woung, Kazuki Shimizu, Boris I. Pavlin, Jacques L. Tamuzi, Jacques L. Tamuzi, Patrick D. M. C. Katoto, Patrick D. M. C. Katoto, Patrick D. M. C. Katoto, Charles S. Wiysonge, Charles S. Wiysonge, Blanche-Philomene Melanga Anya

    Published 2025-07-01
    “…The sensitivity and positive predictive value were estimated at 81% (79%–83%) and 72.0% (68%–75%), respectively.ConclusionsThe EWARS Mobile is a practical solution for Eastern Chad provinces to implement throughout the pre-epidemic and outbreak periods in vulnerable children in this severe humanitarian crisis. …”
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  2. 1002

    Prognostic impact of dynamic changes of type I melanoma antigen gene proteins CT7 (MAGE-C1/CT7) transcripts in multiple myeloma by Xuelin Dou, Fengrong Wang, Huan Chen, Yao Chen, Lei Wen, Yang Liu, Guorui Ruan, Xiaosu Zhao, Xiaojun Huang, Robert Peter Gale, Jin Lu, Jin Lu

    Published 2025-05-01
    “…Our data showed the predictive value of peri-ASCT frontline treatment. A 2-log decrease of MAGE-C1/CT7 post-induction cycle 2 compared to baseline correlated with a negative peri-ASCT MAGE-C1/CT7 status, providing an earlier prognostic marker of treatment response.…”
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  3. 1003

    Microcirculatory resistance index based on a single angiographic view predicts long-term prognosis following rotational atherectomy in patients with acute coronary syndrome by Xinbo Bai, Xiaohua Yu, Yufang Li, Zhe Zhang, Xuemei Guo, Yanan Xue, Luwa Gao, Kun Wang, Zhonghai Wei, Qing Dai, Biao Xu, Lina Kang

    Published 2025-07-01
    “…Abstract Background To explore the long-term predictive value of the angiographic microcirculatory resistance (AMR) index for patients with acute coronary syndrome (ACS) undergoing rotational atherectomy (RA). …”
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  4. 1004

    Prognostic Value and Correlation Between WT1 Overexpression and NPM1 Mutation in Patients with Acute Myeloblastic Leukemia by LL Girshova, IG Budaeva, EG Ovsyannikova, SO Kuzin, DV Motorin, RSh Badaev, DB Zammoeva, VV Ivanov, KV Bogdanov, OS Pisotskaya, YuV Mirolyubova, TS Nikulina, YuA Alekseeva, AYu Zaritskii

    Published 2017-10-01
    “…The research showed the predictive value of a lower limit level of WT1 on day 28 of treatment (100 per 104 copies ABL), and for the first time, the importance of the early assessment WT1 expression reduction on day 14 of induction therapy.…”
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  5. 1005

    The role of triglyceride-glucose index in the progression of cardiovascular-kidney-metabolic syndrome: findings from the China health and retirement longitudinal study by Xingyu Zhou, Xingyu Zhou, Yisi Liu, Yisi Liu, Yisi Liu, Yisi Liu, Jiafei Peng, Jiafei Peng, Jiafei Peng, Jiafei Peng, Xianliang Zhou, Hongtao Wei, Hongtao Wei, Hongtao Wei, Hongtao Wei

    Published 2025-06-01
    “…Q1: HR 2.21, 95% CI 1.58–3.08, P < 0.01) in stage 1.ConclusionElevated TyG index is a significant predictor of CKM progression, particularly via the development of metabolic abnormalities. Its predictive value varies across age groups and CKM stages. …”
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  6. 1006

    Prognostic significance of NT-proBNP and sST2 in patients with heart failure with preserved and mildly reduced ejection fraction by V. I. Podzolkov, N. A. Dragomiretskaya, A. V. Tolmacheva, I. I. Shvedov, A. A. Ivannikov, I. V. Akyol

    Published 2023-10-01
    “…At ROC analysis to one-year adverse events, both NT-proBNP and sST2 showed a significant predictive value in patients with EF >40% with an optimal cut-off value of 746 pg/ml (AUC 0.709; p = 0.005, sensitivity 62%, specificity 69%) and 27.1 ng/ml (AUC 0.742; p = 0.03, sensitivity 80%, specificity 75.8%) respectively.Conclusion: NT-proBNP levels >746 pg/ml and sST2 >27.1 ng/ml should be considered as predictors of poor prognosis in CHF patients with LVEF >40%.…”
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  7. 1007

    MULTISPIRAL COMPUTED TOMOGRAPHY VERSUS MYOCARDIAL BIOPSY IN DIAGNOSTICS OF YOCARDITIS AND PROGNOSIS EVALUATION OF DILATION CARDIOMYOPATHY SYNDROME by I. N. Alieva, O. V. Blagova, N. V. Gagarina, A. V. Nedostup, E. A. Kogan, V. P. Sedov, V. V. Kadochnikova, A. E. Donnikov, V. A. Zaydenov, A. G. Kupriyanova, S. K. Ternovoy

    Published 2017-02-01
    “…Sensitivity and specificity of all types of delayed accumulation in diagnostics of myocarditis were 63,3% and 78,7%, positive and negative predictive value 86,1% and 50,7%, subepicardial and transmural types — 49,0%, 83,0%, 85,7%, 43,8%, respectively. …”
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  8. 1008

    Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease: a propensity-matched analysis by Mingxing Lei, Yan Li, Longcan Cheng, Nan Tang, Jie Song, Mi Song, QingQing Su, Mingxuan Liu, Shihui Fu, Feng Lin, Yuan Gao

    Published 2025-07-01
    “…The incremental predictive value of SHR support its utility for risk stratification, particularly for short-term outcomes, but its prognostic value fades for long-term mortalities. …”
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  9. 1009

    Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank by Kristine J. S. Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang, Jing-Dong Tang

    Published 2025-07-01
    “…We applied a Cox regression model with time-dependent variables to assess the association between PhenoAgeAccel and incident CVD. The predictive value of PhenoAge and PhenoAgeAccel was evaluated with reference to the Framingham Risk Score (FRS) model using Kaplan-Meier curves, receiver operating characteristic curves (AUC), and Harrel’s C-index. …”
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  10. 1010

    CPAP modulation of sleep microstructure (N2-SSD and REM-AHI) as predictors of neurological recovery in ischemic stroke patients with moderate-to-severe OSA by Tianyu Jing, Tianyu Jing, Tianyu Jing, Liwen Xu, Liwen Xu, Shutong Sun, Wenyi Yu, Wenyi Yu, Yixi Zheng, Yixi Zheng, Gang Xu, Xinhao Shen, Tieyu Tang, Cheng Chu, Cheng Chu

    Published 2025-08-01
    “…Continuous positive airway pressure (CPAP) therapy is the primary treatment for stroke-related OSA; however, its positive effects on patient prognosis and the underlying mechanisms remain controversial.ObjectiveThis study aimed to investigate the impact of CPAP therapy on the recovery of IS patients with moderate-to-severe OSA and to identify biomarkers significantly associated with prognosis to assess their predictive value for short-term neurological outcomes. …”
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  11. 1011

    Risk factors of adverse outcome of COVID-19 and experience of Tocilizumab administration in patients on maintenance hemodialysis due to diabetic kidney disease by E. M. Zeltyn-Abramov, M. A. Lysenko, N. F. Frolova, T. N. Markova, N. I. Belavina, N. N. Klochkova, S. V. Kondrashkina, R. T. Iskhakov, A. I. Ushakova

    Published 2021-02-01
    “…For risk identification of upcoming lethal outcome a predictive model was created with the use of discovered RF as variables. The predictive value of this model is 92,45% (positive prognostic value — 96,5%, negative prognostic value — 87,5%).In TCZ treated subgroup the laboratory markers of adverse outcome were detected with application of correlation analysis. …”
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  12. 1012

    Multidrug-resistant Klebsiella pneumoniae coinfection with multiple microbes: a retrospective study on its risk factors and clinical outcomes by Xixi Song, Chonghe Xu, Zhongqi Zhu, Chenchen Zhang, Chao Qin, Juan Liu, Xiaoli Kong, Zhijun Zhu, Wei Xu, Mei Zhu

    Published 2025-08-01
    “…This study successfully established a predictive model based on risk factors, which has good predictive value for both patients with coinfections and those with CRKP. …”
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    Article
  13. 1013

    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

    Published 2025-05-01
    “…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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    Article
  14. 1014

    Modern historiography of the movement for Ukrainian education in mainstream of national and cultural enlightenment (the second half of the 19th - the beginning of the 20th century) by Nataliia Semerhei

    Published 2020-05-01
    “…It is considered that the historians have focused on the following aspects: social and political conditions, content and peculiarities of the state policy in educational sphere; a place and role of pedagogical personnel in strengthening of the national movement for establishment of Ukrainian education; value bases of an educational reform and a pedagogical thought; the educational organizers and leaders of the movement for Ukrainization of schools; the essential changes in a structure, content, methodical, organizational and pedagogical bases of education and nurture children and the youth; historical meaning, achievements and miscalculations in Ukrainization of educational space, its further development in Ukrainization policy of Bolsheviks in 1920-s. …”
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  15. 1015

    Development and external validation of a nomogram prediction model based on quantitative coronary angiography for predicting ischemic lesions: a multi-centre study by Shuai Yang, Shuai Yang, Shuang Leng, Shuang Leng, Zhouchi Wang, Jiang Ming Fam, Jiang Ming Fam, Adrian Fatt Hoe Low, Adrian Fatt Hoe Low, Ru-San Tan, Ru-San Tan, Ping Chai, Ping Chai, Lynette Teo, Lynette Teo, Chee Yang Chin, Chee Yang Chin, John C. Allen, Mark Yan-Yee Chan, Mark Yan-Yee Chan, Khung Keong Yeo, Khung Keong Yeo, Aaron Sung Lung Wong, Aaron Sung Lung Wong, Soo Teik Lim, Soo Teik Lim, Qinghua Wu, Liang Zhong, Liang Zhong, Liang Zhong

    Published 2025-06-01
    “…For per-patient analysis, the corresponding values were 85.8%, 85.7%, 86.0% in the development cohort and 82.2%, 83.3%, 81.1% in the validation cohort.ConclusionThe nomogram may be useful for predicting ischemic lesions using QCA measurements and the LASSO regression algorithm, with external validation indicating potential predictive value in cardiology care settings.…”
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  16. 1016
  17. 1017
  18. 1018

    Predictive multigenic scale. Analysis of own results in metastatic breast cancer by R. M. Paltuev, S. N. Aleksakhina, A. S. Artemyeva, E. A. Baychorov, S. Yu. Bakharev, A. A. Bozhok, V. A. Vasin, V. I. Vladimirov, O. A. Volynshchikova, A. Yu. Vorontsov, E. A. Gaysina, A. A. Hoffman, E. N. Imyanitov, V. V. Klimenko, A. V. Komyakhov, M. M. Konstantinovа, M. V. Kopp, A. G. Kudaybergenova, I. A. Lalak, D. L. Matevosyan, N. M. Mudzhiri, O. V. Poltareva, O. I. Sevryukova, V. F. Semiglazov, T. Yu. Semiglazova, M. M. Urezkova, L. A. Churilova

    Published 2023-06-01
    “…We analyzed the expression of 28 genes with a high predictive value that have been substantially studied (including ESR1, PGR, PIK3CA, BCAR4, BCAS2, CCND1, CCND2, CCND3, FOXA1, Erb2, EGFR, CDH3, FOXC1, KRT14, KRT5, CD274, CDK4, CDK6, P53, PTEN, BRCA1, BRCA2, CHEK2, CLDN3, CLDN7, AR, TOP2a, TUBBIII). …”
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  19. 1019

    Development of a predictive model for metachronous liver metastasis in gastric cancer by Siyuan Wang, Siyuan Wang, Gaozan Zheng, Fengsu Wu, Ye Tian, Xinyu Qiao, Xinyu Dou, Hanjun Dan, Hanjun Dan, Guangming Ren, Liaoran Niu, Pengfei Wang, Lili Duan, Yumao Yang, Jianyong Zheng, Fan Feng

    Published 2025-08-01
    “…Besides conventional parameters, we identified and incorporated peripheral blood monocyte and lymphocyte counts as novel predictors, demonstrating their independent predictive value. Integrating these factors into nomogram could enhance predictive accuracy of MLM.…”
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  20. 1020

    Triglyceride glucose-weight-adjusted waist index as a cardiovascular mortality predictor: incremental value beyond the establishment of TyG-related indices by Jiajun Qiu, Jin’e Li, Shan Xu, Jingqi Yang, Haixia Zeng, Yuying Zhang, Shiqi Yang, Lixuan Fang, Jiadian Huang, Hongtao Zhou, Jiaying Feng, Yujie Zan, Jia Zhan, Jianping Liu

    Published 2025-07-01
    “…Conclusion The current study is the first to validate that the TyG-WWI is a reliable risk prediction tool for cardiovascular death in the general population and has greater predictive value than traditional TyG-related parameters. …”
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