Glutathione peroxidase 4 as a potential biomarker for atrial fibrosis and recurrence of atrial fibrillation by Tong Liu, MD, Dong-tao Zhou, ME, Fang Liu, MD, De-yong Long, MD, Yang Yang, MD, Meng-meng Li, MD, Xin Zhao, MD, Chang-yi Li, MD, Wei Wang, MD, Chen-xi Jiang, MD, Ri-Bo Tang, MD

“…Objective: This study aimed to evaluate the predictive value of GPX4 for AF recurrence after ablation and the relationship between atrial fibrosis and ferroptosis. …”
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Natural killer cell as a potential predictive biomarker for early immune checkpoint inhibitor-associated cardiovascular adverse events: a retrospective cohort study by Yujuan Wu, Diansa Gao, Li Tan, Zhulu Chen, Chuan Zhang, Min Mao, Yuxi Zhu, Yuxi Zhu, Yuxi Zhu, Yue Liu, Zhong Zuo

“…This study aimed to assess the predictive value of peripheral immune cells in early ICI-associated CVAEs.MethodsSingle-cell RNA sequencing (scRNA-seq) dataset from the Gene Expression Omnibus database was used to explore immune cell changes associated with ICI-associated CVAEs. …”
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Assessing the performance of the Iceland screens, treats, or prevents multiple myeloma (iStopMM) model in a multicultural Bronx cohort: implications for monoclonal gammopathy of un... by Rajvi Gor, Jeevan Shivakumar, Pallavi Surana, John Wei, Irina Murakhovskaya, Mendel Goldfinger, Noah Kornblum, Lauren Shapiro, Aditi Shastri, Ridhi Gupta, David Levitz, Marina Konopleva, Eric Feldman, Kira Gritsman, R. Alejandro Sica, Ioannis Mantzaris, Amit Verma, Dennis Cooper, Murali Janakiram, Nishi Shah

“…The area under the receiver operating characteristic (AUROC) curve assessed the iStopMM model’s performance in predicting ≥10% plasma cells, and sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. …”
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Validity of the Nepali Ask Suicide Screening Questions tool for medical inpatients by Daman R Poudel, Arun K Sharma, Ram H Chapagain, Manisha Chapagai, Nathan J. Lowry, Mahesh R Sigdel, Krishna P Bista, Rahul Pathak, Arun Kunwar, Janna Patterson, Terrell Carter, Lisa M. Horowitz

“…The ASQ demonstrated good sensitivity (77%; 95% CI: 56–91), specificity (90%; 95% CI: 86–93), positive predictive value (41%; 95% CI: 27–56) and negative predictive value (98%; 95% CI: 95–99) against BSSA. …”
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The advantages of the immunochemical test in detecting hidden blood in the stool by S. V. Vasiliev, E. V. Smirnova, D. E. Popov, V. A. Semenov

“…The performance indicators (sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV) and area under the curve (AUC)) were calculated for both tests using three endpoints (adenoma (A), adenoma/ carcinoma (A/AC) and carcinoma (AC)). …”
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Association of lung ultrasound score with 72-hour intubation needs in pneumonia patients presenting to the emergency department by Tanyaporn Nakornchai, Apichaya Monsomboon, Panrada Pathomkajonkul, Ronnapop Jaluspikultip, Rathachai Kaewlai, Nattakarn Praphruetkit, Tipa Chakorn, Sattha Riyapan, Usapan Surabenjawong, Wansiri Chaisirin, Netiporn Thirawattanasoot

“…The optimal cutoff value of 16 yielded a sensitivity of 88.9%, specificity of 69.4%, positive predictive value of 42.1%, and negative predictive value of 96.2%. …”
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Role of functional mapping on Gallium-68 perfusion positron emission tomography and computed tomographic imaging (PET/CT) to assess the risk of long-term radiation-induced lung tox... by François Lucia, David Bourhis, Frédérique Blanc-Béguin, Gaëlle Goasduff, Mohamed Hamya, Simon Hennebicq, Maëlle Mauguen, Romain Floch, Margaux Geier, Ulrike Schick, Maëlys Consigny, Olivier Pradier, Grégoire Le Gal, Pierre-Yves Salaun, Vincent Bourbonne, Pierre-Yves Le Roux

“…Discussion: The predictive value of PET perfusion-based functional parameters outperforms the standard CT-based dose-volume parameters for the risk of grade ≥2 long-term RILT.…”
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Personalised prediction of maintenance dialysis initiation in patients with chronic kidney disease stages 3–5: a multicentre study using the machine learning approach by Usman Iqbal, Tzu-Hao Chang, Chu-Lin Chou, Mai-Szu Wu, Yung-Ho Hsu, Chih-Wei Huang, Anh Trung Hoang, Phung-Anh Nguyen, Thanh Phuc Phan, Gia Tuyen Do, Huu Dung Nguyen, I-Jen Chiu, Yu-Chen Ko, Chia-Te Liao

“…Model evaluation metrics, including area under the curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value and F1 score, were employed.Results A total of 6123 and 5279 patients were included for 1 year and 3 years of the model development. …”
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Tumor microenvironment parameters as a predictor of the duration of clinical effectiveness of immunotargeted therapy in advanced or metastatic endometrial cancer: A pilot multicent... by A. A. Maltseva, A. Yu. Kalinchuk, N. V. Krakhmal, N. M. Chernorubashkina, E. S. Martynova, R. A. Zukov, A. A. Gofman, A. B. Villert, O. N. Churuksaeva, L. A. Kolomiets, L. A. Tashireva

“…However, the CD8+/CD20+ lymphocyte ratio had the greatest predictive value; a value below 3.219 was associated with long clinical efficacy in patients with advanced or metastatic EC.Conclusion. …”
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model by R. Kishore Kanna, Preety Shoran, Meenakshi Yadav, Mohammad Nadeem Ahmed, Shrikant Burje, Garima Shukla, Anurag Sinha, Mohammad Rashid Hussain, Saifullah Khalid

“…The proposed system and existing algorithms are compared using a variety of evaluation criteria, including specificity, F1 score, accuracy, recall or sensitivity, and positive predictive values or precision. The results demonstrated that the proposed method achieved better performance in EEG-based BCI emotion detection with an accuracy of 97.93%, a positive predictive value of 96.24%, a sensitivity of 97.81%, and a specificity of 97.75%. …”
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Factors influencing no-reflow phenomenon in patients with ST-segment myocardial infarction treated with primary percutaneous coronary intervention by Đenić Nemanja, Džudović Boris, Romanović Radoslav, Ratković Nenad, Jović Zoran, Đukić Boško, Spasić Marijan, Stojković Siniša, Obradović Slobodan

“…The significance of the predictive value of some parameters was evaluated by univariate and multivariate regression analysis. …”
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Evaluation of capability of ultrasound with elastometry and elastography for diagnosis of subclinical regional metastases of cancer of the oral mucosa by Yu. V. Alymov

“…B-mode USI was characterized by 88.2 % specificity, 0 % sensitivity, 80.4 % accuracy, and 44.1 % efficacy. Positive predictive value (PPV) was estimated as 0 %, and negative predictive value (NPV) as 90.1 %. …”
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HPV DNA in saliva from patients with SCC of the head and neck is specific for p16-positive oropharyngeal tumours by Jason K. Wasserman, Ryan Rourke, Bibianna Purgina, Lisa Caulley, Jim Dimitroulakis, Martin Corsten, Stephanie Johnson-Obaseki

“…In contrast, a negative HR HPV assay had a 96% negative predictive value (95% CI 80–100%) for tumours arising in a non-oropharyngeal site. …”
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Screening of Generalized Anxiety Disorder in Patients with Epilepsy: Using a Valid and Reliable Indonesian Version of Generalized Anxiety Disorder-7 (GAD-7) by Astri Budikayanti, Andira Larasari, Khamelia Malik, Zakiah Syeban, Luh Ari Indrawati, Fitri Octaviana

“…The best cutoff value to detect GAD in Indonesian PWE was >6 with the sensitivity, specificity, negative predictive value, and positive predictive value of 100%, 84.4%, 100%, and 55.8%, respectively. …”
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Validation of influenza vaccination status using health administrative databases by integrating pharmacy claims and medical billing databases in Ontario, Canada by Razan Amoud, Jeffrey C. Kwong, Colleen Maxwell, Suzanne L. Tyas, Martin Cooke, Alejandro Hernandez, Wasem Alsabbagh

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and their associated 95% confidence intervals (CIs) were estimated. …”
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Evaluation the Efficacy of ELISA IgG, IgM and IgA Tests for Diagnosis of Helicobacter pylori by Hogir Mohammed Shukri Saadi, Ali Yahya Saeed

“…The efficacy of IgG, IgM and IgA tests was calculated compared with golden standard tests and ELISA IgG characterized by the highest values of sensitivity (75.75%), negative predictive value (36.00%) and accuracy (86.00%) but with lowest specificity (45.00%) and similar positive predictive value (81.96%) with IgM and IgA. …”
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Relationship Between Blurred Boundary and Neurological Deficits in Extension-Type Pediatric Supracondylar Humeral Fractures by Takuji Yamamoto, MD, Yoshifumi Ueshin, MD, Hikaru Ogawa, MD, Yasuharu Nakashima, MD, PhD

“…The specificity, positive predictive value, and negative predictive value were 56.0%, 38.3%, and 87.0%, respectively, with an overall accuracy of 61.4%. …”
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The Psychometric Properties of the Iranian Version of Repetitive Behavior Scale‐Revised (RBS‐R) Questionnaire in Children With Autism Spectrum Disorder by Amir Mohammad Salehi, Shayan Bahadivand Chegini, Fatemeh Esmaeili, Niloofar Rabiei, Ensiyeh Jenabi, Mohammad Rezaei

“…The questionnaire showed a sensitivity of 88.31%, specificity of 83.13%, positive predictive value of 82.93%, negative predictive value of 88.46%, and an area under the curve of 91.7%. …”
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The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score Predicts the Prognosis of Adults with Status Epilepticus: A Retrospective Study by Fu J, Chen X, Li J, Rong B, Peng L

“…Since inflammation is closely involved in the pathogenesis of status epilepticus (SE), this study aimed to explore the predictive value of HALP for the prognosis of SE patients.Methods: In the retrospective study, we investigated and validated the predictive value of HALP for the prognosis of adult SE patients. …”
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Calf circumference to body mass index ratio: a new anthropometric indicator for ultrasound based sarcopenic obesity by Nermin Karakurt, Ayşe Fadıloğlu, Fatih Güngör, Eda Çeker, Esra Çataltepe, Zekeriya Ulger, Hacer Dogan Varan

“…Conclusion The CC/BMI shows higher sensitivity and predictive value for diagnosing sarcopenic obesity compared to calf circumference adjusted for BMI. …”
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