“Obesity paradoxes”: main causes of an “inverse” cardiovascular epidemiology by M. A. Druzhilov, Т. Yu. Kuznetsova, О. Yu. Druzhilova

“…Such facts facilitated a number of discussions on the predictive value of overweight and obesity and consideration whether to correct those in cardiovascular patients as secondary prevention. …”
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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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EXERCISE TESTS IN CARDIOLOGY: PAST, PRESENT AND FUTURE. PART III by V. P. Voronina, N. V. Kiseleva, S. Yu. Martsevich

“…The third part of the review focuses on the prediction value of exercise test findings under ECG control in ischemic heart disease with stable angina. …”
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Formal Versus Self-Identified Neurodivergence: A Comparative Study in Work Environments by Jan van Rijswijk, Petru Lucian Curșeu

“…Finally, our results show that self-identified neurodivergence adds to the predictive value of formally diagnosed conditions and that in empirical organizational research, self-identified neurodivergence is sufficient to capture the cognitive differentiation tied to neurodivergence.…”
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Hirayama disease by Chanabasappa V. Chavadi, Gowtham Jasti, Madhav Hegde, Anand Venugopal

“…While dynamic contrast MRI is diagnostic, routine study has high predictive value. A case of HD, etiopathogenesis, imaging and treatment is summarized.…”
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Biçim-Sözdizimsel Ölçümlerin 3-7 Yaş Grubunda İncelenmesi by Funda Acarlar, Ceyhun Servi, Gamze Alak

“…The relation and predictive value of these measures with age were examined. …”
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Noninvasive Prenatal Testing Using Fetal Fraction Enrichment—A Pilot Study by Yun Chen, Yunli Lai, Jian Yi, Shang Yi, Xiaoshan Huang, Yanqing Tang, Jiasun Su, Yiping Shen, Hongwei Wei

“…NIPT with FF enrichment generated a positive predictive value of 75% for CNVs (≥3 Mb and 22q11.2 ≥1 Mb). …”
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Does Tumor Size Influence the Diagnostic Accuracy of Ultrasound-Guided Fine-Needle Aspiration Cytology for Thyroid Nodules? by Do Hoon Koo, KwangSeop Song, Hyungju Kwon, Dong Sik Bae, Ji-hoon Kim, Hye Sook Min, Kyu Eun Lee, Yeo-Kyu Youn

“…Overall FNAC sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 95.4%, 98.2%, 99.4%, 86.4%, and 96.0%, respectively. …”
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The D‐HCM score, a new diagnostic tool for distinguishing hypertrophic cardiomyopathy from hypertensive cardiopathy by G. Domain, M. Biscond, N. Dognin, C. Strube, P. Mondoly, P. Réant, J.F. Sarrazin, M. Galinier, J. Champagne, A. Rollin, D. Carrié, H. Cochet, O. Lairez, F. Philippon, J. Ferrières, P. Maury, C. Steinberg

“…A cumulative QRS‐HCM score ≥2 supports the diagnostic certainty of true HCM with a sensitivity of 79%, specificity of 99%, negative predictive value (NPV) of 55%, and positive predictive value (PPV) of 99%. …”
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Impact of volume indices in bioelectrical impedance measurement on the assessment of cardiac function indices by echocardiography in hemodialysis patients by Yudan Wang, Yang Wang, Shun Wu, Na Xu, Zhaoyong Zhang, Zhenmin Ruan, Rui Wang, Xin Geng, Chuanzhen Zhang, Zhiyong Luan, Guofang Chen, Hongqi Ren

“…Extracellular Water (ECW) and Third Interstitial Fluid Volume (TSFV) were identified as independent risk factors for Left Ventricular Mass (LVM), and both demonstrated a high predictive value for LVM. ECW% emerged as an independent risk factor for the Left Ventricular Mass Index (LVMI), with a high predictive value for LVMI.Conclusion ECW and TSFV were found to be positively associated with cardiac function parameters in HD patients.…”
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Validation of Spleen Stiffness Measurement for Screening of High-risk Esophageal Varices Among Cirrhotic Patients in Indonesia: A Single-Center Cross-sectional Study by Saut Horas Hatoguan Nababan, Gita Aprilicia, Pitt Akbar, Kemal Fariz Kalista, Chyntia Olivia Maurine Jasirwan, Juferdy Kurniawan, Cosmas Rinaldi A. Lesmana, Andri Sanityoso Sulaiman, Irsan Hasan, Rino Alvani Gani

“…SSM with a low cutoff value of 20 kPa had sensitivity and negative predictive value of 98.1% and 87.5%, respectively. The high cutoff value of 70 kPa had specificity and positive predictive value of 82.4% and 81.3%, respectively. …”
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The impact of CT-based adipose tissue distribution and sarcopenia on treatment outcomes in patients with high-risk soft tissue sarcoma by Luc M. Berclaz, Dorit Di Gioia, Michael Völkl, Vindi Jurinovic, Alexander Klein, Hans Roland Dürr, Thomas Knösel, Bianca Teodorescu, Stefan Enßle, Michaela Rippl, Michael von Bergwelt-Baildon, Wolfgang G. Kunz, Lars H. Lindner, Anton Burkhard-Meier

“…Abstract Background The prognostic and predictive value of obesity and sarcopenia remains poorly defined in patients with high-risk soft tissue sarcoma (HR-STS). …”
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The Utility of Maternal Blood S100B in Women with Suspected or Established Preeclampsia—A Systematic Review by Grigorios Karampas, Athanasios Tzelepis, Sevasti Koulouraki, Despoina Lykou, Dimitra Metallinou, Lena Erlandsson, Konstantinos Panoulis, Nikolaos Vlahos, Stefan Rocco Hansson, Makarios Eleftheriades

“…In this systematic review, we aimed to investigate the association between maternal blood (serum or plasma) S100B levels and preeclampsia, focusing on its predictive value and correlation with the severity of the disease, with a particular focus on neurological symptoms. …”
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Learning Intelligent for Effective Sonography (LIFES) Model for Rapid Diagnosis of Heart Failure in Echocardiography by Lies Dina Liastuti, Bambang Budi Siswanto, Renan Sukmawan, Wisnu Jatmiko, Idrus Alwi, Budi Wiweko, Aria Kekalih, Yosilia Nursakina, Rindayu Yusticia Indira Putri, Grafika Jati, Mgs M Luthfi Ramadhan, Ericko Govardi, Aqsha Azhary Nur

“…Statistical analysis was carried out to calculate the value of accuracy, area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratio (LR). …”
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Accuracy of the combined method (auscultation and pH measurement) and ultrasonography for confirmation of gastric tube placement: a study protocol for a prospective study by Fernanda Raphael Escobar Gimenes, Rosana Aparecida Pereira, Mayara Carvalho Godinho Rigobello, Jorge Elias Junior, Carlos Alberto Grespan Bonacim, Renata Cristina de Campos Pereira Silveira, Fernanda Caroline Bonardi, Roosevelt Santos Nunes

“…Sensitivity, specificity, positive predictive value and negative predictive value will be calculated to assess the diagnostic accuracy of the methods investigated in this study, with Cohen’s kappa analysis used to evaluate the degree of concordance.Ethics and dissemination The study was approved by the Research Ethics Committee of the University of São Paulo at Ribeirão Preto College of Nursing, registration number: 83087318.4.0000.5393. …”
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Comparison of Bone Marrow Biopsy and Flow Cytometry in Demonstrating Bone Marrow Metastasis of Neuroblastoma by Esra Arslantaş, Ali Ayçiçek, Selvinaz Özkara, Ayşe Özkan Karagenç, Sibel Akpınar Tekgündüz, Duygu Yıldırgan, Tuba Nur Tahtakesen Güçer, Ayşe Gonca Kaçar, Özgü Hançerli, Saide Ertürk, Ezgi Paslı Uysalol, Cengiz Bayram

“…When BMB was considered as the reference standard, MFC had diagnostic sensitivity, specificity, positive predictive value, and negative predictive value of 86%, 58%, 54%, and 88%, respectively, and values of 90%, 57%, 60%, and 89%, respectively, at diagnosis. …”
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The Eye of the Chiropterologist: Phenotypic Versus Genotypic Identification of Bats by F. D. Dami, T. E. Adeyanju, A. A. Chaskda, I. M. Okpanachi, A. T. Adeyanju, S. M. Ezekiel, T. Gwom, I. A. Iniunam, A. Hitch, D. D. Pam, P. Luka, S. C. Weaver, S. Paessler, R. W. Cross, N. Shehu

“…We then compared the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the phenotypic to the genotypic outcomes of our identification. …”
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Machine learning–based quantification of overall and internal ultrasound characteristics for diagnosing malignant partially cystic thyroid nodules by Yutong Zhang, Jue Jiang, Aqian Chen, Dong Zhang, Dong Zhang, Lirong Wang, Xin Yuan, Xin He, Shanshan Yu, Juan Wang, Qi Zhou

“…The model demonstrated an accuracy of 0.91 (0.85-0.95), a sensitivity of 0.88 (0.73-0.97), a specificity of 0.92 (0.85-0.96), a negative predictive value of 0.96 (0.91-0.99), and a positive predictive value of 0.77 (0.61-0.89). …”
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Computed tomography for visible haematuria – a single nephrographic phase is sufficient for detecting renal cell carcinoma by Kristina Flor Galtung, Peter Mæhre Lauritzen, Gunnar Sandbæk, Dag Bay, Erica Ponzi, Eduard Baco, Nigel Christopher Cowan, Anca Mihaela Naas, Erik Rud

“…For the control and experimental CT, sensitivity was 100% versus 100%, specificity was 97% versus 98% and accuracy 97% versus 97%. The positive predictive value was 44% versus 50%, and the negative predictive value was 100% versus 100%. …”
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A Novel Machine Learning Model and a Web Portal for Predicting the Human Skin Sensitization Effects of Chemical Agents by Ricardo Scheufen Tieghi, José Teófilo Moreira-Filho, Holli-Joi Martin, James Wellnitz, Miguel Canamary Otoch, Marielle Rath, Alexander Tropsha, Eugene N. Muratov, Nicole Kleinstreuer

“…HuSSPred models demonstrated strong predictive performance with CCR ranging from 55 to 88%, sensitivity between 48 and 89%, and specificity between 37 and 92%. The positive predictive value (PPV) ranged from 84 to 97%, versus negative predictive value (NPV) from 22 to 65%, and coverage was between 75 and 93%. …”
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