Emergency Surgery Mortality (ESM) Score to Predict Mortality and Improve Patient Care in Emergency Surgery by Sirirat Tribuddharat, Thepakorn Sathitkarnmanee, Pavit Sappayanon

“…The respective sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, negative predictive value, and accuracy for an ESM score ≥4 predictive of postoperative mortality was 70.2%, 94.9%, 13.8, 0.3, 69.4%, 95.1%, and 91.4%. …”
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Peri-bronchovascular lesions in chest CT are not necessarily infective: multidisciplinary approach for other differential diagnosis with validation analysis by Ahmed Samir, Omnia Ezz Eldin, Ayman Ibrahim Baess, Dina Altarawy

“…It was proved to be valid by reaching 92–100% sensitivity, 84–99% specificity, 84–98% positive predictive value (PPV), 93–100% negative predictive value (NPV), and 91–99% accuracy. …”
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Perfluorobutane CEUS for early-stage cervical lymphoma: diagnostic value of the postvascular phase starfield sign by Xia Liang, Xian-Tao Zeng, Zhi-Liang Hong, Xiao-Ying Lin, Miao-jiao Su, Jian-Chuan Yang, Song-Song Wu

“…The sensitivity of the postvascular phase starfield sign was 91.30%, specificity was 83.33%, positive predictive value was 84.00%, negative predictive value was 90.91%, and the AUC was 0.87 (95% CI 0.76–0.98). …”
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Cytologic Evaluation as a Diagnostic Tool to Differentiate Adrenocortical Tumors and Pheochromocytomas by Hunter J. Piegols, Rachel W. Williams, Nirali Pathak, Laura E. Selmic, Giovanni Tremolada, Russell Sakacs, Laurie Millward, Janis Lapsley

“…When all samples were included, FNA and cytologic evaluation had a sensitivity of 77.3%, specificity of 76.5%, positive predictive value of 81.0%, negative predictive value of 72.2%, and accuracy of 76.9% for identifying adrenocortical tumors. …”
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The Predictive Factors of CPR Failure After 20 Minutes of Advanced Cardiac Life Support for Non-Traumatic Out-of-Hospital Arrest Cases; a Cross-sectional Study by Thongpitak Huabbangyang, Paskorn Sritipsukho

“…The area under the ROC curve of the model was 0.832 (95% confidence interval (CI): 0.793–0.870) with 70.0% sensitivity, 82.4% specificity, 89.8% positive predictive value, 55.5% negative predictive value, 3.97 positive likelihood ratio, and 0.36 negative likelihood ratio. …”
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Evaluation of Neutrophil cluster of differentiation 64 in adult sepsis as a novel diagnostic biomarker by Anuradha Saini, Anjali Sharma, Mukul Singh, Shaily Goyal, Maninder Narang, Sunil Ranga

“…Results: For sepsis prediction, nCD64 demonstrated a positive predictive value (PPV) of 92.68% and a negative predictive value (NPV) of 94.87%. …”
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A novel scoring system for heart failure screening utilizing combined electrocardiogram, phonocardiogram, and radial artery features by Junjie Bian, Kok-Han Chee, Chengyu Liu, Hongwei Sun, Shixi Zhang, Peili Chen, Dorjee Renchen, Hua-Nong Ting

“…The screening values of this scoring system for heart failure were verified in the testing set, with the odds ratio (OR), area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) as well as their respective 95% confidence interval (CI) for evaluation. …”
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Age-Adjusted Cut-Off Values for Glial Fibrillary Acidic Protein and Ubiquitin Carboxy-Terminal Hydrolase L1 Improve the Diagnostic Accuracy of the Abbott Mild Traumatic Brain Injur... by Ivana Lapić, Dunja Rogić, Matea Bingula, Lea Miklić, Ivan Gornik

“…<b>Results</b>: Using manufacturer’s defined cut-offs (GFAP < 35 ng/L, UCH-L1 < 400 ng/L), the mTBI assay exhibited diagnostic sensitivity (Se) of 93.1%, specificity (Sp) of 28.8%, negative predictive value (NPV) of 95.5% and a positive predictive value (PPV) of 20.6%. …”
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Mortality predictors on the day of healthcare-associated Acinetobacter baumanni bacteremia in intensive care unit by Murat Emre Tokur, Pervin Korkmaz, Sevil Alkan, Emel Yıldız, Özlem Arık, Duygu Perçin Renders, Canan Balcı

“…When CRP and RDW were both positive, sensitivity was 72%, specificity was 100%, negative predictive value was 33%, and positive predictive value was 100% for the 28-day mortality after BD. …”
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Squamous cell carcinoma antigen levels in women with cervical cancer and those without cervical cancer: a cross-sectional study among women of African descent by Maradona Isikhuemen, Michael Ezeanochie, Chukwunwendu Okonkwo, Friday Okonofua

“…Using a cut-off value of 0.45, the sensitivity of SCCA was 75% while specificity was 70%. Its positive predictive value was71.4% while the negative predictive value was 73.7%. …”
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The assessment of incidental thyroid lesions on 18F-fluorodeoxyglucose positron emission tomography/computed tomogrophy: A single centre experience by Efnan Algin, Aytug Uner, Umit Ozgur Akdemir, Ozge Gumusay, Ozlem Kapucu, Ahmet Ozet

“…The sensitivity, specificity, positive predictive value and negative predictive value were 87.4%, 81.7%, 70.1% and 93% respectively. …”
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Predicting the occurrence of liver injury induced by immune checkpoint inhibitors in hepatocellular carcinoma patients: a retrospective analysis by Xiaoyan Li, Hang Sun, Jialiang Wang, Lubiao Chen

“…A model was established to predict ILICI occurrence with the area under the receiver operating characteristic curve 0.701, sensitivity 0.712, specificity 0.632, positive predictive value 0.720 and negative predictive value 0.630. …”
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Assessment of the urinary uric acid-to-creatinine ratio as a diagnostic marker for perinatal asphyxia in a resource-poor setting: a case control study by Chukwunonso Chigozie Iheji, Isaac Nwabueze Asinobi, Ikenna Kingsley Ndu, Anthony Nnaemeka Ikefuna

“…The cut-off point that gives the best diagnosis of perinatal asphyxia was 1.54, with a sensitivity of 95.6%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 96%. …”
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Development and validation of a clinical prediction model for concurrent pulmonary infection in convalescent patients with intracerebral hemorrhage by Jixiang Xu, Xiaoxiao Han, Yinliang Qi, Xiaomei Zhou

“…Clinical utility was evaluated via decision curve analysis (DCA). Positive predictive value (PPV) and negative predictive value (NPV) were also calculated at the optimal threshold. …”
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The relationship between the apnea-hypopnea index, oxygen desaturation index, average oxygen saturation, and body mass index in patients with obstructive sleep apnea by Novković Dobrivoje, Popović Nela, Novković Nikola, Lukić Jelena, Begović-Kuprešanin Vesna, Popević Martin

“…With its strong correlation with AHI, as well as predictive value for more severe forms of apnea, ODI has the same importance as AHI in diagnosing and assessing the severity of this disorder.…”
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Establishment of age-related AMH screening cutoffs in Chinese women with PCOS: a retrospective study using propensity score matching analysis by Zhen Wang, Xiaojing Teng, Yanfei Liu, Yonghai Shen, Lin Ma, Yu Chen

“…Based on age, we conducted propensity score matching analysis in a 1:1 ratio and statistical analysis using SPSS software, plotted receiver operating characteristic curves, and obtained the area under the curve, the optimal anti-Müllerian hormone screening threshold, corresponding sensitivity, specificity, Youden index, correct diagnostic rate, positive predictive value, negative predictive value. Age-related anti-Müllerian hormone screening criteria with polycystic ovary syndrome were established and evaluated based on the optimal anti-Müllerian hormone screening cutoff for each group. …”
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Advanced Lung Cancer Inflammation Index as a Predictor of Coronary Slow Flow Phenomenon in Patients with Angina and Non-Obstructive Coronary Arteries by Jiang YT, Yan ZM, Gu W, Guo HS, Li XT, Zheng SQ, Liao X, Xue DG

“…Moreover, ALI demonstrated a better predictive value than indicators alone, including albumin level, BMI, and NLR.Conclusion: A lower ALI demonstrated a reliable predictive value for the occurrence of CSFP in patients with ANOCA. …”
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Validity of the International Classification of Diseases 10th revision code for hospitalisation with hyponatraemia in elderly patients by Amit X Garg, Salimah Z Shariff, Sonja Gandhi, Jamie L Fleet, Matthew A Weir, Arsh K Jain

“…In the two settings, the positive predictive values were 96.4% (95% CI 94.6% to 97.6%) and 82.3% (95% CI 80.0% to 84.4%), while the negative predictive values were 89.2% (95% CI 89.0% to 89.5%) and 87.1% (95% CI 86.8% to 87.4%). …”
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Accuracy of the “Surprise Question” in Predicting Long-Term Mortality Among Older Patients Admitted to the Emergency Department: Comparison Between Emergency Physicians and Nurses... by Alexandra Coulon, Delphine Bourmorck, Françoise Steenebruggen, Laurent Knoops, Isabelle De Brauwer

“…The SQ was positive in 43% and 40.6%, respectively. Predictive values were similar in both groups: sensitivity, specificity, c-statistics, negative predictive value, and positive predictive value were 0.79 (0.66–0.88), 0.68 (0.62–0.76), 0.69 (0.63–0.75), 0.92 (0.86–0.96), and 0.4 (0.31–0.50), respectively, for EPs and 0.71 (0.57–0.82), 0.69 (0.62–0.75), 0.69 (0.63–0.75), 0.89 (0.83–0.93), and 0.41 (0.31–0.51), respectively, for ENs. …”
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Assessment of applicability of Ganga Hospital Score in the management of open tibia fracture by Innocent Kwizera, Jean C. Byiringiro, J. C. A. Ingabire, Emmanuel Murwanashyaka, Jean L. Mwizerwa

“…The GHOISS in predicting the amputation showed high sensitivity of 100% and sensitivity of 96.03%, with a positive predictive value of 71.4% and negative predictive value of 100%. …”
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