68Ga-labeled prostate specific membrane antigen HBED-CC PET/MRI for staging and evaluating the clinicopathological characteristics in newly diagnosed prostate cancer by Xiaoyu Su, Shuangli Yang, Feng Qiao, Hui Wang, Tao Wu, Gan Zhu, Wenjing Yu, Xiao Wang

“…Calculated the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 68Ga-PSMA-11 PET/MRI for T, N, M staging, respectively. …”
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Middle Cerebral Artery Pulsatility Index for Prediction of Successful Induction of Labour in Postdated Pregnancy: A Prospective Observational Study by Yashi Nagar, Rekha Bharti, Kajal Baleja, Amita Malik, Divya Pandey, Jyotsna Suri

“…At a cut-off of <1.67, MCA PI had a sensitivity of 100%, a specificity of 99.3%, a Positive Predictive Value (PPV) of 84.6%, a Negative Predictive Value (NPV) of 100%, and diagnostic accuracy of 99.3%, for prediction of successful IOL. …”
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Which scale is best to assess the risk of upper gastrointestinal bleeding in patients with stable coronary artery disease in the Russian population? by O. O. Shakhmatova, A. L. Komarov, U. P. Ergasheva, V. V. Korobkova, L. O. Minushkina, V. A. Brazhnik, D. A. Zateyshchikov, E. B. Yarovaya, E. P. Panchenko

“…Modification and recalibration of the ORACUL scale significantly increases its predictive value in patients with stable coronary artery disease.…”
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Predictors of neonatal mortality: development and validation of prognostic models using prospective data from rural Bangladesh by Hasmot Ali, Alain B Labrique, Farhad A Khan, Luke C Mullany, Lee F-S Wu, Saijuddin Shaikh, Kelsey Alland, Keith P West Jr

“…Prognostic multivariable models were developed and internally validated.Results Recalling ≥1 sign of lethargy, cyanosis, non-cephalic presentation or trouble suckling identified postsecond day neonatal death with 65.3% sensitivity, 60.8% specificity, 2.1% positive predictive value (PPV) and 99.3% negative predictive value (NPV) in the development set. …”
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Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models by Minfang Wang, Wanjun Chen, Ruiping Ren, Yuanwei Lin, Jiawen Tang, Meng Wu

“…BackgroundPeritumoral characteristics demonstrate significant predictive value for neoadjuvant chemotherapy (NAC) response in breast cancer (BC) through tumor-stromal interactions. …”
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Urinary GADD45G Protein Excretion Is Associated with IgA Nephropathy Progression by Min-Jeong Lee, Hyunee Yim, Ji Eun Park, Inwhee Park, Heungsoo Kim, Gyu-Tae Shin

“…The area under the receiver operating characteristics (ROC) curve indicated urinary GADD45G had a good performance in predicting renal outcome (cut-off point 1.67 μg/g, positive predictive value 36.8%, negative predictive value 100%). …”
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Validation of an algorithm to evaluate the appropriateness of outpatient antibiotic prescribing using big data of Chinese diagnosis text by Li Wei, Siyan Zhan, Mei Zhang, Bin Cao, Houyu Zhao, Jiaming Bian, Liuyi Li, Yingqiu Ying, Zeyu Zhang, Xiaoying Yao

“…Objective We aimed to evaluate the validity of an algorithm to classify diagnoses according to the appropriateness of outpatient antibiotic use in the context of Chinese free text.Setting and participants A random sample of 10 000 outpatient visits was selected between January and April 2018 from a national database for monitoring rational use of drugs, which included data from 194 secondary and tertiary hospitals in China.Research design Diagnoses for outpatient visits were classified as tier 1 if associated with at least one condition that ‘always’ justified antibiotic use; as tier 2 if associated with at least one condition that only ‘sometimes’ justified antibiotic use but no conditions that ‘always’ justified antibiotic use; or as tier 3 if associated with only conditions that never justified antibiotic use, using a tier-fashion method and regular expression (RE)-based algorithm.Measures Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the classification algorithm, using classification made by chart review as the standard reference, were calculated.Results The sensitivities of the algorithm for classifying tier 1, tier 2 and tier 3 diagnoses were 98.2% (95% CI 96.4% to 99.3%), 98.4% (95% CI 97.6% to 99.1%) and 100.0% (95% CI 100.0% to 100.0%), respectively. …”
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Enhanced diagnostic precision of colorectal sessile lesions with blue laser imaging and JNET classification: a multicenter retrospective study in Chinese cohorts by Feng Wu, Wenxin Tan, Panpan Liu, Weiguang Qiao, Tongyin Xing

“…The performance metrics for expert and trainee endoscopists in evaluating JNET type 2A(LGD) were as follows: expert endoscopists demonstrated a sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of 93%, 93.3%, 94.3%, 91.8%, and 93.1%, respectively; trainee endoscopists showed a sensitivity, specificity, PPV, NPV, and accuracy of 64.6%, 63.5%, 72.9%, 54.1%, and 64.1%, respectively(p&lt;0.01). …”
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Abstract 264: Enhancing Stroke Care: Neurology Residents' Clinical Prediction of Large Vessel Occlusions for Faster Endovascular Activation by Keyvan Heshmati, Maria Hernandez, Jai Shahani, Volodymyr Vulkanov, Priyank Khandelwal, Sushanth Aroor

“…The neurology residents classified 18 patients into the probable stroke group, demonstrating a sensitivity of 48%, specificity of 96%, a positive predictive value (PPV) of 72%, and a negative predictive value (NPV) of 90%. …”
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Peripherex Home Visual Field Demonstrates High Test-Retest Reliability, Validity by Schweitzer J, Ibach M, Berdahl J, Daoud M, Daoud YA, Kempinski Y, Goldberg JL

“…Detection of abnormal fields was excellent, with a sensitivity of 95.7% and a negative predictive value (NPV) of 98.27%. Detection of normal fields was very good, with a specificity of 79.26% and a positive predictive value (PPV) of 66.36%. …”
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Comparison of Myometrial Invasion Depth Examination Methods in Endometrial Cancer by Savaş Özdemir, Ozan Doğan, Alp Koray Kinter, Özgür Akbayır, Fatih Şahin

“…Results: The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and kappa values for TVUS were 100%, 94.3%, 21.7%, 100%, and 0.34, respectively. …”
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Diagnostic Accuracy of AdvanSure^TM and PowerChek^TM Real-Time PCR Assays for the Detection of <i>Mycobacterium tuberculosis</i> and Nontuberculous Mycobacteria by Johny Bajgai, Chi-Hyun Cho, Jong-Han Lee

“…Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy were evaluated. …”
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CO22 | Assessment of coagulation profiles in septic patients using viscoelastic coagulation monitoring and rotational thromboelastometry in an internal medicine setting

“…With a new MCF cut-off of 40.5 mm (Table 1b), VCM-MCF showed good predictive value for hypercoagulability (AUC 0.8, sensitivity 76.5%, specificity 75%). …”
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Noninvasive assessment of the presence and size of esophageal varices by Petrović Gordana, Nagorni Aleksandar, Bjelaković Goran, Benedeto-Stojanov Daniela, Radovanović-Dinić Biljana

“…Based on the receiver operating characteristic (ROC) curve for the PC/SD ratio, the cutoff value of the test was obtained at 907 (907.11), with a negative predictive value of 76.4% for large EVs. Conclusion. The cutoff value of PC/SD ratio < 907 has a predictive value for the occurrence of large EVs.…”
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Cervical Cancer Screening Using Liquid-based Cytology and its Histopathological Correlation by C Sunitha, Aditi Sangwan, Shivani Sangwan, Pranjali Dhume, Sinam T Meetei, Arpitha Pemmaraju

“…The Pap smear had a sensitivity of 63.63%, specificity of 78.26%, positive predictive value (PPV) of 58.33%, negative predictive value (NPV) of 81.81%, and diagnostic accuracy of 73.52% in diagnosing LSIL. …”
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Is diagnostics of Benign Paroxysmal Positional Vertigo with a mechanical rotation chair superior to traditional manual diagnostics? A randomized controlled crossover study by Malene Hentze, Malene Hentze, Dan Dupont Hougaard, Dan Dupont Hougaard, Herman Kingma, Herman Kingma

“…The primary outcomes included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of traditional MD compared to MRC diagnostics. …”
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Influence of perceived influenza-like symptoms on intention to receive seasonal influenza vaccination by Renske Eilers, Fleur H. Groenendijk, Birthe A. Lehman, Nynke Y. Rots, Hester E. de Melker, Liesbeth Mollema, Josine van Beek

“…Previous influenza vaccination had by far the most predictive value; when excluding this factor, age and perceived health were the best predictors. …”
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Performance of Xpert MTB/RIF by Using Gastric Lavage Sample in The Diagnosis of Pulmonary Tuberculosis in HIV Patients with Suspected Pulmonary Tuberculosis by Manuel Lamberto Willem Mboeik, Ceva Wicaksono Pitoyo, Teguh Harjono Karjadi, Anis Karuniawati, Esthika Dewiasty

“…Using clinical diagnosis of pulmonary TB as gold standard, a single Xpert MTB/RIF assay using gastric lavage sample showed sensitivity of 50.98% (95% CI: 36.6-65.25), specificity 87.88% (95% CI: 77,1-94,62), positive predictive value 76,47% (95%CI: 61,67-86,78) and negative predictive value 69,88% (95% CI: 63,36-75.68). …”
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The Cut-Off Value for the Triglyceride–Glucose Index (TyG) Discriminating Insulin Resistance Based on the SHBG Level and HOMA-IR Values in Women with Polycystic Ovary Syndrome by Tahar Ben Rhaiem, Aleksander Jerzy Owczarek, Mariusz Wójtowicz, Dariusz Ciura, Paweł Madej, Jerzy Chudek, Magdalena Olszanecka-Glinianowicz

“…The empirical optimal of the TyG index cut-off, corresponding to HOMA-IR ≥ 2.1, was >8.31 (AUC 0.77, accuracy 0.70, sensitivity 61.2%, specificity 75.3%, PPV—positive predictive value 59.4%, NPV—negative predictive value 76.7%). …”
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Assessing the validity of Society of Thoracic Surgeons (STS) score in predicting stroke risk among patients undergoing cardiothoracic surgery at a tertiary hospital in Pakistan: a... by Javerya Hassan, Namra Usman, Muhammad Salman, Arshan Ali, Maryam Shaukat, Hana Khan, Ahmed Raheem, Hasanat Sharif

“…In this article, we aim to investigate the predictive value of Society of Thoracic Surgeons (STS) score’s effectiveness in stroke risk in cardiothoracic surgery patients in our population. …”
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