The effect of social support on the quality of life of patients with multiple sclerosis by David Castro Costa, Maria José Sá, José M. Calheiros

“…OBJECTIVE: To determine the predictive value of social support on health related quality of life (HRQoL) in multiple sclerosis (MS) patients. …”
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THE PROGNOSTIC VALUE OF BASELINE PSA BLOOD IN THE TREATMENT OF PROSTATE CANCER by A. A. Gritskevich, V. L. Medvedev, S. V. Mishugin, N. A. Apolskaya, I. G. Rusakov

“…Using the  initial PSA level and  Gleason  score  improves  the  predictive  value significantly. This article presents the  results  of a retrospective analysis of 307 patients completed the treatment of  PC. …”
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Automated Flow Cytometry: An Alternative to Urine Culture in a Routine Clinical Microbiology Laboratory? by Patricia Mejuto, Mariam Luengo, Julio Díaz-Gigante

“…Due to the high percentage of negative results, there is a need for an efficient screening method, with a high negative predictive value (NPV) that could reduce the number of unnecessary culture tests. …”
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Omniview of three-dimensional ultrasound for prospective evaluation of extrathyroidal extension of differentiated thyroid cancer by Ruyu Liu, Yuxin Jiang, Xingjian Lai, Ying Wang, Luying Gao, Shenling Zhu, Xiao Yang, Ruina Zhao, Xiaoyan Zhang, Xuehua Xi, Bo Zhang

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the ROC curve (AUC) were calculated. …”
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Predictive machine-learning model for screening iron deficiency without anaemia: a retrospective cohort study by Girish N Nadkarni, Orly Efros, Eyal Klang, Shelly Soffer, Gili Kenet, Aya Mudrik, Renana Robinson

“…At a sensitivity threshold of 70%, the model had a specificity of 75.85%, with a positive predictive value of 37.6% and a negative predictive value of 92.41%. …”
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Real-World Analysis of Clinical Characteristics, Treatment Outcomes, and the Novel Predictive Model for Patients with Thrombotic Thrombocytopenic Purpura (TTP) and TTP-Like Syndrom... by Lv M, Hu X, Zhu L, Xu H, Chen E, Zhao N, Tong J, Zheng C

“…The performance of this new model was compared with the traditional PLASMIC score by evaluating sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).Results: Thirty-five patients were diagnosed with TTP and 42 were diagnosed with TTP-like syndrome. …”
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Diagnostic value of multiparametric ultrasound and the EU-TIRADS system for differentiation of focal thyroid lesions by A. V. Pomortsev, O. S. Tokarenko

“…The characteristics of the SWE score were: sensitivity = 81%, specificity = 90.3%, positive predictive value = 88%, negative predictive value = 91%, and accuracy of comprehensive study = 88.4%.…”
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The accuracy of 3D-TUI and 3D power Doppler using Alalfy simple criteria in the diagnosis of placenta accreta spectrum by Mahmoud Alalfy, Soha Talaat Hamed, Alaa Sobhi Abd El Ghani, Ahmed Elgazzar, Amr Abbassy, Ahmed S. S. A. Rashwan, Omar Nagy, Mohamed A Shalaby, Hatem Hassan, Asmaa Ibrahem, Hesham Kamal, Reham Mahrous, Eman Kamal

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of the 3D-TUI cuts in diagnosing adherent from non-adherent were 100%, 100%, 100%, 100% and 100%, respectively. 3D TUI-cuts has a diagnostic accuracy of 98.8 percent when compared to operative findings in accurately determining the exact subtype of placenta accreta spectrum. …”
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Early prediction of menopausal status after chemotherapy in women with early breast cancer in order to optimize adjuvant endocrine therapy by Charissa van Zwol-Janssens, Mandy M. van Rosmalen, Esther Oomen-de Hoop, Jan C. Drooger, Annemieke van der Padt-Pruijsten, Hanneke J.M. Zuetenhorst, Yvonne V. Louwers, Jenny A. Visser, Joop S.E. Laven, Agnes Jager

“…This study aims to evaluate the predictive value of pretreatment anti-Müllerian hormone (AMH) serum levels for predicting resumption of ovarian function after chemotherapy (CT). …”
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The prognostic value of red cell distribution width to serum calcium ratio in 28-day all-cause mortality among intensive care unit patients with acute kidney injury： a retrospectiv... by Meng Yuan, Ouyang Yi, Zhou Yu, Tan Ren-xiang, Xiao Bi-xia, Yuan Ze-dong-fang, Chen Ren-shan

“…ObjectiveTo explore the relationship between red blood cell distribution width to serum calcium ratio （RCR） and 28-day all-cause mortality in patients with acute kidney injury （AKI） admitted to the intensive care unit （ICU）， and to evaluate the predictive value of RCR for the prognosis of AKI in ICU patients.MethodsClinical data of 8，814 adult patients with AKI enrolled in the Medical Information Mart for Intensive Care Ⅳ （MIMIC-Ⅳ） in the United States between 2008 and 2019 were retrospectively analyzed. …”
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Monitoring breast cancer progression through circulating methylated GCM2 and TMEM240 detection by Chin-Sheng Hung, Hsieh-Tsung Shen, Pei-Yu Wang, Chih-Ming Su, Wei-Wen Hsu, Kuan-Yu Chien, Cai-Sia Han, Li-Min Liao, Ruo-Kai Lin

“…Validation in a separate cohort of 325 patients (20% with recurrence or metastasis) demonstrated superior performance compared to CA15-3 and CEA, achieving 95.1% accuracy, 89.4% sensitivity, 96.5% specificity, 86.8% positive predictive value (PPV), and 97.3% negative predictive value (NPV). …”
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Validation of ICD‐10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population by Jason Pik‐Eu Chang, Hong‐Yi Lin, Pooi‐Ling Loi, Jeanette Pei‐Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang‐Keat Tan, Chanda Kendra Ho, Wei‐Quan Teo, Amber Hwa Hwa Chung, Prema Raj

“…We evaluated the consensus code set's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in identifying cirrhosis cases. …”
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TRICKS Magnetic Resonance Angiography at 3-Tesla for Assessing Whole Lower Extremity Vascular Tree in Patients with High-Grade Critical Limb Ischemia: DSA and TASC II Guidelines Co... by Sheung-Fat Ko, Jiunn-Jye Sheu, Chen-Chang Lee, Chung-Cheng Huang, Fan-Yen Lee, Shu-Hang Ng, Yi-Wei Lee, Hon-Kan Yip, Min-Chi Chen

“…T-MRA harbored overall high sensitivity (99.5%), specificity (93.6%), positive predictive value (95.4%), negative predictive value (99.6%), and accuracy (97.7%) in depicting significant stenosis. …”
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Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model by Bihua Yao, Xingyu Yu, Liannv Qiu, Er-min Gu, Siyu Mao, Lei Jiang, Jijun Tong, Jianguo Wu

“…During external validation, the model achieved a sensitivity of 0.8600, specificity of 0.9056, positive predictive value of 0.8698, and negative predictive value of 0.8686, underscoring its accuracy across diverse patient cohorts. …”
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Correlation between insulin-like growth factor 1 levels and tacrolimus dose in pediatric liver recipients by R. M. Kurabekova, O. M. Tsirulnikova, O. E. Gichkun, G. A. Olefirenko, I. E. Pashkova, A. A. Belchenkov, O. P. Shevchenko

“…The estimated accuracy of the test was 83%, positive predictive value was 71%, and negative predictive value was 85%.Conclusion. …”
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Vestibular function tests are helpful in differentiating between Menière’s disease and vestibular migraine by Eleonora G. M. Vosbeek, Eleonora G. M. Vosbeek, Meinie Seelen, Aliede M. Vingerhoed, Tjard R. Schermer, Tjard R. Schermer, Suzanne C. Cannegieter, Suzanne C. Cannegieter, Gisela M. Terwindt, Tjasse D. Bruintjes, Tjasse D. Bruintjes

“…We collected demographic characteristics, symptoms at presentation, results of pure-tone audiometry (PTA), caloric testing, and vHIT. Positive predictive value (PPV) and negative predictive value (NPV) of the vHIT and caloric test were calculated and the optimal unilateral weakness cut-off value was determined.ResultsThe mean age of the MD patients (n = 194) was 60.2 ± 13.4 years, with 46.4% females. …”
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Comparative performance and health economic analysis of prenatal screening for down syndrome in Fujian province, China by Lin Zheng, Nuolan Yin, Meiying Wang, Hailong Huang, Shuyu Zhang, Linjuan Su, Liangpu Xu

“…A comparison of screening performance between the two groups showed that NIPT had significantly higher specificity (99.96%) and positive predictive value (55.56%) than FTSS (specificity: 92.93%, positive predictive value: 0.91%). …”
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Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study by Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Marco Xodo, Fabrizio Losurdo, Cesare Celeste Federico Berra, Roberto Franco Enrico Pedretti, Paolo Fiorina, Sergio Maria De Pasquale, Valeria Calcaterra

“…Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and likelihood ratios will be calculated to determine the ability of the new app to accurately measure vital signs. …”
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Urinary Albumin-to-Creatinine Ratio (uACR) Point-of-Care (POC) Device with Seamless Data Transmission for Monitoring the Progression of Chronic Kidney Disease by Artitaya Thiengsusuk, Napaporn Youngvises, Runtikan Pochairach, Rehab Osman Taha, Kridsada Sirisabhabhorn, Nadda Muhamad, Wanchai Meesiri, Wanna Chaijaroenkul, Kesara Na-Bangchang

“…The PPV (positive predictive value) was 100%, indicating perfect identification of patients with severe nephropathy (uACR > 300 mg/g creatinine). …”
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A novel ubiquitin-related genes-based signature demonstrated values in prognostic prediction, immune landscape sculpture and therapeutic options in laryngeal cancer by Lu Liu, Lu Liu, Lu Liu, Lu Liu, Bing Wang, Xiaoya Ma, Xiaoya Ma, Lei Tan, Lei Tan, Lei Tan, Xudong Wei, Xudong Wei

“…The nomogram showed higher predictive value and net clinical benefit than traditional indicators. …”
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