The diagnostic accuracy of the ESC 0/1-hour algorithm in non-ST-segment elevation myocardial infarction in a crowded emergency department: a real-world experience from a single-cen... by Emre Kudu, Ahmet Enes Kucukardali, Mustafa Altun, Ümit Öztürk, Erhan Altunbaş, Sinan Karacabey, Erkman Sanri, Arzu Denizbasi

“…The sensitivity and negative predictive value (NPV) for NSTEMI in the “rule-out” group were both 100%. …”
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Craniocaudal cyclic load improves risk assessment of lumbar pedicle screw loosening: finite element analysis based on computer tomography by Chenyu Jiang, Hanqiang Ouyang, Hanqiang Ouyang, Yali Li, Ning Lang, Yan Zhang, Liang Jiang, Liang Jiang, Huishu Yuan

“…This study explores the impact of craniocaudal cyclic load on pedicle screw fixation strength using computed tomography-based finite element analysis (CT-FEA) and evaluates its predictive value for PSL.MethodsA total of 23 PSL cases (7 men and 16 women) and 29 matched controls were analyzed using CT-FEA. …”
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Polo-like kinase 1 as a promising diagnostic biomarker and potential therapeutic target for hepatocellular carcinoma by Eman H. Yousef, Mohamed E El-Mesery, Maha R Habeeb, Laila A Eissa

“…Polo-like kinase 1 showed a reasonable sensitivity, specificity, positive predictive value, and negative predictive value in hepatocellular carcinoma diagnosis. …”
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Association between platelet to lymphocyte ratio and febrile urinary tract infection after double-J stent removal in children underwent laparoscopic pyeloplasty by Xun Lu, Qi Chen, Lixia Wang, Haobo Zhu, Liqu Huang, Jincai Zhou, Yunfei Guo

“…The univariate and multivariate logistic analysis were conducted to determine the potential risk factors of fUTI after DJ stent removal. The predictive value of potential risk factors were determined by receiver operating characteristic curve (ROC). …”
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Risk Factors for Postpartum Hemorrhage Following Vaginal Deliveries in China: A Case-Control Study of Second Births After IUD Removal by Shen L, Xu Y, Li B, Long Y

“…ROC curve analysis showed that the combined predictive value of these factors was superior, with an AUC of 0.805 for the combined predictive model.Conclusion: PPH is influenced by advanced maternal age, multiple miscarriages, high birth weight, and uterine atony. …”
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External validation and comparison of SAFE QUAKE and dialysis score in earthquake related crush injuries by Suleyman Alpar, Sarper Yilmaz, Çağrı Safa Buyurgan, Akif Yarkaç, Neslihan Ergun Suzer, Ali Cankut Tatlıparmak

“…Results The SAFE-QUAKE score demonstrated a higher negative predictive value (NPV) for ruling out dialysis (93.4%), whereas the Dialysis Score had superior positive predictive value (PPV) (71.0%). …”
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Selection for high quality pepper seeds by machine vision and classifiers by Ke-ling TU, Lin-juan LI, Li-ming YANG, Jian-hua WANG, Qun SUN

“…In addition, binary logistic regression and a neural network were applied to determine models with high predictive value of seed germination. Single-kernel germination tests were conducted to validate the predictive value of the identified features. …”
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Elevated levels of serum PKM2, Gal-3 and CitH3 could predict pulmonary infection complicated by mechanical ventilation by HUANG Hangdong, LI Danyu, ZHU Xiaofeng

“…Receiver operating characteristic (ROC) curve was used to analyze the predictive value of serum PKM2, Gal-3 and CitH3 for poor prognosis in patients undergoing MV. …”
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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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Diagnostic performance of the 2019 ESC pre-test probability and Coronary Artery Disease consortium models in estimating obstructive coronary artery disease by Huy Truong Hoang, Dan Van Buu Do, Thao Le Phuong Nguyen, V. V. Maiskov, Z. D. Kobalava

“…The CAD consortium clinical model, with a cut-of value >33%, had a sensitivity of 66.7%, specificity of 79.2%, a positive predictive value of 90%, and a negative predictive value of 45.8% in predicting obstructive CAD.Conclusion. …”
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CLINICAL DIAGNOSTIC VALUE OF OBSCURE ELECTROENCEPHALOGRAPHIC PATTERN "BROAD SHARP WAVE" IN CHILDREN by I. G. Kovalev, I. L. Stepanishhev, V. P. Zykov, T. A. Voronina

“…Thus, the pattern stitch is likely to play a predictive value for the detection of epilepsy, as an indicator of acute and / or remote brain damage. …”
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Adult-capture assays as a tool to measure insecticide resistance in Anopheles malaria vectors: a modeling comparison with larval-capture assays by Inga Holmdahl, Inga Holmdahl, Caroline O. Buckee, Caroline O. Buckee, Lauren M. Childs

“…In simulated samples of 100 test mosquitoes, reflecting WHO-recommended sample sizes, we found that adult-capture samples had a 94% positive predictive value (PPV) for resistance at the WHO’s 10% resistance cutoff, and a 97% negative predictive value (NPV), compared to 98% PPV and 19% NPV for larval-captured samples. …”
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Diagnostic value of serum origin recognition complex protein 1 in the progression of HBVrelated liver fibrosis by LIANG Hongqian, HUANG Long, REN Aoli, SU Minghua, HU Bobin, LI Qingmei, SU Tumei, YIN Qianbing, LI Aining, JIANG Jianning

“…The area under the ROC curve of serum ORC1 in the diagnosis of liver cirrhosis was 0.644 (P < 0.05), the cutoff value was 1, 000.46 ng/L and the sensitivity, specificity, positive predictive value, negative predictive value, and consistency rate were 56.0%, 76.3%, 35.0%, 88.4%, and 72.5%, respectively. …”
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Value of Rapid Antigen Test in Comparison with Reverse Transcriptase-Polymerase Chain Reaction Method in the Diagnosis of COVID-19 by Alireza MIRAHMADIZADEH, Babak Shirazi YEGANEH, Jafar HASSANZADEH, Leila BADIEE, Mohebat VALI, Zahra MALEKI, Ali AKBARI, Tahereh PAKDEL, Haleh GHAEM

“…Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and the accuracy of the RAT were calculated using the MedCalc software. …”
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Diagnostic utility of auramine O smear microscopy for detecting non-tuberculous mycobacteria versus Mycobacterium tuberculosis complex in adult clinical samples: a 5-year retrospec... by Nadia Atiya, Leong Tung Ong, Thian Chee Loh, Chee Kuan Wong, Azwani Abdullah

“…Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) with 95% confidence intervals (CI) were calculated using Open Epi Version 3.01. …”
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The validity of a new resilience scale: the Japan Resilience Scale (J-RS) for mothers with a focus on cultural aspects by Mariko Takeuchi, Michiko Matsunaga, Akimitsu Miyake, Ryuichiro Egashira, Sayaka Hotta, Mai Nakano, Misaki Moriguchi, Fumihiko Yasuno, Masako Myowa, Keisuke Hagihara

“…At a cutoff of 59/60, sensitivity, specificity, positive predictive value, and negative predictive value were 84.1%, 63.9%, 34.6%, and 94.7% respectively. …”
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Evaluating the diagnostic performance of adult sepsis event criteria in the emergency department: impact of including isolated serum lactate elevations by Hyojun Park, Ryoung-Eun Ko, Hyo-Seok Oh, Jae Young Moon, Youjin Chang, Gee Young Suh

“…Diagnostic performance was assessed using sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). …”
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Predicting survival in bladder cancer with a novel apoptotic gene-related prognostic model by Ding-ming Song, Kun Feng, Wen-fei Luo, Dong-shan Lv, Li-po Zhou, Yi-bo He, Yanyang Jin

“…Nomogram variables, prompted from ARGM and clinical parameters, also generate a high predictive value for patient survival. Conclusion Ourestablished apoptosis-related gene model (ARGM) has a substantial predictive value for prognosis and immunotherapy of bladder cancer. …”
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Clinical utility of artificial intelligence–augmented endobronchial ultrasound elastography in lymph node staging for lung cancerCentral MessagePerspective by Yogita S. Patel, BSc, Anthony A. Gatti, PhD, Forough Farrokhyar, MPhil, PhD, Feng Xie, PhD, Waël C. Hanna, MDCM, MBA

“…NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883). …”
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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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