Parameter analysis of vibratory energy flow in a hermetic compressor by statistical energy analysis by W. A. Barbosa, A. Lenzi, P.H. T. Zaninin

“…Shell and body vibratory energies have been measured at a standard operation condition, and the coupling loss factor thus obtained agreed well with predicted values calculated from impedance data. Several parameters, such as body and shell impedance, spring and shell loss factor, and model of the spring (tension and compression) were varied and their effects upon the compressor noise analyzed. …”
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Microsatellite instability in endometrial cancer: the role of diagnostic methods and their clinical application. Expert consensus by A. S. Tyulyandina, E. A. Ulrikh, L. A. Kolomiets, S. E. Krasilnikov, A. G. Kedrova, A. A. Rumyantsev, G. A. Raskin, A. I. Nesterova, M. V. Volkonskiy, O. N. Churuksaeva, A. Yu. Goryainova, V. V. Zhavoronkova, V. N. Dmitriev, S. T. Nazranova, A. V. Shkradyuk, K. S. Volkova, A. I. Arutyunova, S. N. Kunitskaya, L. V. Stepura, T. G. Zolotoreva, E. B. Shakhnovich, E. V. Ponomareva, M. A. Strokova, A. S. Danilova, E. S. Martynova

“…This review details current concepts of MSI diagnostics and discusses its predictive value in patients with endometrial cancer. It also describes a new diagnostic algorithm for the detection of dMMR and MSI.…”
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Individual risk of cervical intraepithelial neoplasia progression in patients with chronic cervicitis by O. M. Bokach, A. V. Tishkov

“…The variables are «age», «number of sexual partners», «number of births», «Streptococcus pyogenese», and «smoking history». The predictive value of the discriminant function on available data is 0.97.…”
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Which Radiographic Measurements Best Predict Contralateral Slip in Patients Who Undergo Pinning for Unilateral Slipped Capital Femoral Epiphysis? by Eduardo N. Novais, MD, Timothy Borden, MD, Thierry Pauyo, MD, Mariana G. Ferrer, Patricia Miller, MS, Maranho Daniel, MD

“…Sensitivity, specificity, and predictive values were also determined using literature-based cutoffs for the angles (tilt angle >10°, Billings >12°, PSA >14°, Southwick >12°). …”
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EFFICACY OF CARDIOVERTER-DEFIBRILLATORS IN PREVENTION OF SUDDEN DEATH AND OVERALL MORTALITY DECREASE IN PATIENTS WITH THE SYNDROME OF DILATION CARDIOMYOPATHY: DIFFERENTIAL APPROA... by O. V. Blagova, A. V. Nedostup, E. V. Zaklyazminskaya

“…Main predictors of the shocks were genetic origin of DCMP (isolated or with myocarditis, 25/75%, comparing with 20/33% in patients with no shocks, p<0,01, HR 1,58, OR 10,93, sensitivity 94,1%, negative predictive value 99,2%), and sustained (HR 18,0, sensitivity 98,1%) and non-sustained ventricular tachycardia (HR 1,43, sensitivity and negative predictive value 100%), decrease of QRS voltage and absence of the signs of LV hypertrophy on ECG (negative predictive value 92,8% and 95,6%).Conclusion. …”
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Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma by Lichao Cao, Lichao Cao, Lichao Cao, Lichao Cao, Haoyang Dai, Haoyang Dai, Shangqing Wei, Shangqing Wei, Ying Ba, Ying Ba, Ying Ba, Fang Chen, Fang Chen, Fang Chen, Yingying Chen, Yingying Chen, Yingying Chen, Chendi Yu, Chendi Yu, Chendi Yu, Shenrui Zhang, Shenrui Zhang, Shenrui Zhang, Erfei Chen, Erfei Chen, Erfei Chen, Hezi Zhang, Hezi Zhang, Hezi Zhang

“…The immunotherapeutic cohort was used to evaluate the predictive value of the ERSG signature for immunotherapeutic sensitivity.ResultsThe ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. …”
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Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis by Elizabeth Crull, Emily C O'Brien, Pavel Antiperovitch, Kirubel Asfaw, Alexis L Beatty, Djeneba Audrey Djibo, Alan F Kaul, John Kornak, Gregory M Marcus, Madelaine Faulkner Modrow, Jeffrey E Olgin, Jaime Orozco, Soo Park, Noah Peyser, Mark J Pletcher, Thomas W Carton

“…Overall agreement, sensitivity, specificity, positive predictive value, negative predictive value, and κ statistics with 95% CIs were calculated. …”
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Association of high-sensitivity C-reactive protein with fatal and non-fatal cardiovascular events in working-age people: data from the ESSE-RF study by S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, E. B. Yarovaya, Yu A. Balanova, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Maksimov, N. S. Karamnova, Yu. Yu. Samokhina, O. M. Drapkina, N. V. Kulakova, I. A. Trubacheva, A. Yu. Efanov, A. A. Shabunova, O. A. Belova, O. P. Rotar

“…At the same time, adding a wide list of confounders to hs-CRP, sex and age does not improve the model’s predictive value (AUC, 79,7; 78,2-82,1).Conclusion. This study for the first time showed a significant independent contribution of hs-CRP to CVEs development in the Russian population, and the addition of hs-CRP to sex and age significantly increased the predictive value of model.…”
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Utility of photoacoustic patterns in intra-operative margin assessment of breast cancer post neoadjuvant chemotherapy by Yonggeng Goh, Ghayathri Balasundaram, Hui Min Tan, Thomas Choudary Putti, Renzhe Bi, Mikael Hartman, Shaik Ahmad Buhari, Celene Wei Qi Ng, Su Ann Lui, Serene Si Ning Goh, Wei Qi Leong, Eric Fang, Swee Tian Quek, Malini Olivo

“…Results: US-PA imaging demonstrated a high diagnostic accuracy of 89.0 %, with a sensitivity and negative predictive value (NPV) of 100 %, specificity of 86.9 %, and positive predictive value (PPV) of 59.4 %. …”
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The accuracy of magnetic resonance cholangiopancreatography in the diagnosis of biliary atresia in preterm infants with cholestasis by Wei-Che Chen, Hsiao-Yu Lo, Yi-Shan Tsai, Yao-Jong Yang

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of MRCP to diagnose BA based on surgical proof or at least 6 months of follow-up were assessed. …”
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Extended sample size calculations for evaluation of prediction models using a threshold for classification by Rebecca Whittle, Joie Ensor, Lucinda Archer, Gary S. Collins, Paula Dhiman, Alastair Denniston, Joseph Alderman, Amardeep Legha, Maarten van Smeden, Karel G. Moons, Jean-Baptiste Cazier, Richard D. Riley, Kym I. E Snell

“…We have reported closed-form solutions to estimate the sample size required to target sufficiently precise estimates of accuracy, specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), and an iterative method to estimate the sample size required to target a sufficiently precise estimate of the F1-score, in an external evaluation study of a prediction model with a binary outcome. …”
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Relationship between intraocular pressure and pulmonary function by Ryo Terauchi, Kota Fukai, Shota Fujimoto, Kyoko Ito, Tomohiro Kato, Kiminori Kato, Masayuki Tatemichi, Jun Araya, Yoshiaki Kabata, Tadashi Nakano

“…IOP was measured using non-contact tonometry, and respiratory function was assessed using spirometry, focusing on the forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ratio, percent predicted values of FEV1 (ppFEV1), and percent predicted values of FVC (ppFVC). …”
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Inadequacy of coronary calcium scoring in evaluating coronary artery disease: A call to shifting to high-resolution CT coronary imaging by Jonathan Mokhtar, Mohammad Albaree, Virginia Battistin, Mohamed Asbaita, Fatemeh Akbarpoor, Jeyaseelan Lakshmanan, Hassan El-Tamimi

“…The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CAC against ICA were all calculated using R version 4.4.0. …”
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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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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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