Differential diagnosis of hematogenous osteomyelitis and malignant bone tumors by A. N. Tkachenko, O. F. Nur, A. A. Korneenkov, L. E. Sharova, I. E. Itskovich, I. I. Kushnirchuk, A. Yu. Cherkasov

“…Indicators of the validity of the test was: Sensitivity – 83.05 %, Specificity (Sp) – 86.67 %. Positive Predictive Value (PPV) was 96.08 %, Negative Predictive Value (NPV) – 56.52 %, Accuracy – 83.78 %, which allowed to shorten the time of examination and send patients to specialized hospitals.…”
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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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Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation by Fouad Trad, Ryan Yammine, Jana Charafeddine, Marlene Chakhtoura, Maya Rahme, Ghada El-Hajj Fuleihan, Ali Chehab

“…We evaluated performance using article exclusion rate (AER), false negative rate (FNR), specificity, positive predictive value (PPV), and negative predictive value (NPV). …”
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Evaluation of urine NGAL levels in brain death patients due to trauma: a prospective observational study by Dung Thai Pham, Bang Ngoc Dao, Huy Quang Nguyen, Dung Tien Nguyen, Duong Minh Vu

“…At 0 h, urine NGAL had excellent predictive value for AKI with area under receiver operating characteristic (ROC) curve of 0.992 (95% CI 0.976–1.000, p < 0.001). …”
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Validity of the Nepali Ask Suicide Screening Questions tool for medical inpatients by Daman R Poudel, Arun K Sharma, Ram H Chapagain, Manisha Chapagai, Nathan J. Lowry, Mahesh R Sigdel, Krishna P Bista, Rahul Pathak, Arun Kunwar, Janna Patterson, Terrell Carter, Lisa M. Horowitz

“…The ASQ demonstrated good sensitivity (77%; 95% CI: 56–91), specificity (90%; 95% CI: 86–93), positive predictive value (41%; 95% CI: 27–56) and negative predictive value (98%; 95% CI: 95–99) against BSSA. …”
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Helicobacter pylori culture as a key tool for diagnosis in Colombia by Diana F Rojas-Rengifo, Belen Mendoza, Carlos Jaramillo, Paula A Rodríguez-Urrego, José F Vera-Chamorro, Johanna Alvarez, Maria del Pilar Delgado, Luisa F Jimenez-Soto

“…The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were also calculated. …”
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Evaluation of two commercially available rapid stool antigen tests for the diagnosis of Helicobacter pylori infection by Mohamed Abd ElAziz Metwally, Hala Mohamed Alfeky, Hatem Samir Alegaily, Azza Hasan Abbas, El Shahat Ahmed El Shahat, Angham Mohamed Abd Elmonem, Hoda Mohamed Rabie Gabal

“…The sensitivity, specificity, positive predictive value, and negative predictive value were as follows: 96.6%, 66.1%, 62%, and 97.4%, respectively for RightSign® test and 96.9%, 50%, 52.5%, and 96.6%, respectively for OnSite® test. …”
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Total Lesion Glycolysis (TLG) on 18F-FDG PET/CT as a Potential Predictor of Pathological Complete Response in Locally Advanced Rectal Cancer After Total Neoadjuvant Therapy: A Retr... by Handan Tokmak, Nurhan Demir, Hazal Cansu Çulpan

“…Interim TLG ≤ 10 also showed a strong predictive value (AUC 0.824, 100% sensitivity, and 71.4% specificity). …”
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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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Using IgY for diagnosis of respiratory infections: practical application in COVID-19 by Cícero Matheus Lima Amaral, Valdester Cavalcante Pinto Júnior, Daniel Freire Lima, Hellen paula Silva da Costa, Danúbio Andrade Bezerra Farias, João Xavier da Silva Neto, Luiz Francisco Wemmenson Gonçalves Moura, Bruno Bezerra da Silva, Ednardo Rodrigues Freitas, Maurício Fraga Van Tilburg, Maria Izabel Florindo Guedes

“…The ability of IgY to detect SARS-CoV-2 in clinical saliva samples showed promising results in terms of accuracy (91.3%), sensitivity (92.5%), specificity (90.0%), positive predictive value (PPV) (90.2%), negative predictive value (NPV) (92.3%), and Cohen’s Kappa (0.825).Conclusion Chicken antibodies proved effective for early and accurate diagnosis of respiratory infections, including COVID-19. …”
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From fat to facts: the potential of adipokine and insulin dosing in obese feline patients by Laura Cernat, Sorana Daina, Adrian Macri

“…This review assesses the predictive value of adiponectin, leptin, and insulin in identifying diabetes risk in obese cats.…”
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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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D-Dimer Combined with Fibrinogen Predicts the Risk of Venous Thrombosis in Fracture Patients by Chaohui Lin, Yifan Chen, Bin Chen, Ke Zheng, Xiongbiao Luo, Fengfei Lin

“…While D-dimer can successfully diagnose venous thrombosis due to its excellent negative predictive value (NPV), it cannot be used to detect venous thromboembolism (VTE) because of its low positive predictive value (PPV). …”
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Utility of positron emission tomography–computed tomography in the evaluation of fever of unknown origin in a resource-limited tropical nation by Sohini Das, Sowmya Sathyendra, Julie Hephzibah, Reka Karuppusami, Karthik Gunasekaran, Nylla Shanthly, Angel Miraclin, Ramya Iyadurai

“…Sensitivity, specificity, and positive and negative predictive value of PET-CT scans were 76.9% (20/26), 33.3% (2/6), 83% (20/24), and 25% (2/8), respectively. …”
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Diagnostic value of multiple projection angle X-ray and CT 3D reconstruction for long-term unreduced posterior hip dislocation by Yansong Liu, Yongbo Ma, Zeming Liu, Xuzhuang Ding, Xiaowei Yao, Jiangqi Chang, Hao Li, Tao Wu

“…The diagnostic values of multiple projection angle X-ray and CT 3D reconstruction for long-term unreduced posterior hip dislocation were evaluated.ResultsFor aureole sign, 45.83% of patients (sensitivity = 45.83%, specificity = 81.52%, accuracy = 78.67%, Youden's index = 0.274, positive predictive value (PPV) = 17.74%, negative predictive value (NPV) = 94.54%, intraobserver consistency = 0.930, and interobserver consistency = 0.903) were diagnosed correctly. …”
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Exploring the relationship between NHHR and the degree of coronary artery stenosis in patients with acute coronary syndromes by Zhenkun Yang, Yuanjie Li, Mingjuan Yang, Yang Xu, Jia Yao, Kefan Wang, Yuxia Gao

“…Incorporating NHHR into the model for predicting severe coronary artery lesions (Model 1) increased the predictive value from 0.696 (95% CI: 0.674–0.717) to 0.703 (95% CI: 0.682–0.724). …”
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The relationship between serum IL⁃33，vWF，G⁃CSF and prognosis of acute massive hemorrhage patients with transfusion⁃related acute lung injury by DU Dan*，WEI Ge，WANG Lingxue，LIU Hongbin

“…Receiver operating characteristic（ROC）was used to explore the predictive value of serum IL⁃ 33， vWF，and G⁃CSF for the prognosis of TRALI. …”
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Impact of Rosacea on Keratinocyte Skin Cancers: A Prospective Case-Control Study of Basal and Squamous Cell Carcinoma Risk by Asli Aksu, Aysenur Demir, Hatice Gunay, Pinar Ozdemir Cetinkaya, Birgul Ozkesici Kurt, Hazel Ezgi Kaya, Ilknur Altunay, Deniz Altınel

“…The sensitivity, specificity, negative predictive value and positive predictive value for rosacea were 45.5%, 86%, 61.2% and 76.5%, respectively (AUC 0.658, 95% CI 0.604-0.711, P=0.000), while for ETR it was 44%, 86.5%, 60.7% and 76.5%, respectively (AUC 0.653, 95% CI 0.599-0.706, P=0.000). …”
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Prognostic correlation analysis of colorectal cancer patients based on monocyte to lymphocyte ratio and folate receptor-positive circulating tumor cells and construction of a machi... by Siying Pan, Chi Lu, Chi Lu, Hongda Lu, Hongda Lu, Hongfeng Zhang

“…Three ML algorithms, namely, random forest (RF), support vector machine (SVM), and logistic regression (LR), were utilized to construct the predictive models, and their performance metrics including accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), precision, recall, F1 value, AUC, and calibration curve were compared.ResultsMLR, FR+ CTCs, and T stage independently predicted PFS (P&lt;0.05), both higher MLR and FR+CTCs levels indicating a significantly shorter PFS (P=0.004). …”
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Development and evaluation of a triplex real-time PCR assay for enhanced plague diagnostics in Madagascar. by Beza Ramasindrazana, Zoé A Rahalison, Philippe Gauthier, Guillain Mikaty, Zaina I Bodoarison, Lanto A Maminirina, Soloandry Rahajandraibe, Mamy G Randriamanantsoa, Gilbert Kayoko, Jean-Claude Manuguerra, Anne-Sophie Le Guern, Andriamiliharison J Rasamindrakotroka, Minoarisoa Rajerison

“…<h4>Results</h4>Using bacteriology technique as the reference standard, the triplex qPCR demonstrated a sensitivity of 100% (89-100%) and a specificity of 82%. The positive predictive value (PPV) was 73% and the negative predictive value (NPV) was 100% (91-100%). …”
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