CARBOXYHEMOGLOBIN LEVELS IN PRETERM NEONATAL LATE-ONSET SEPSIS: TO PREDICT OR NOT TO PREDICT by GONCA VARDAR, Eren Ozek

“…At an optimal cut-off of >1.5%, the test’s sensitivity was 64.94%, the specificity was 72.73%, the positive predictive value was 70.42%, and the negative predictive value was 67.47%.LOS led to a dramatic rise followed by a decrease after the initiation of the antimicrobial therapy [1.8 (1.4-2.5) ] vs. [1.45 (0.2-4)] p<0.001. …”
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Comparison of Rapid Diagnostic Test with Enzyme-Linked Immunosorbent Assay and PCR for Detection of Hepatitis B Surface Antigen by Melek Bilgin, Mehmet Hakan Taşkın, Esmeray Mutlu Yilmaz, Çiğdem Çekiç Cihan

“…Results: Compared to ELISA, the rapid test had a specificity of 97.70%, a sensitivity of 87.20%,a positive predictive value (PPV) of 57.82% and a negative predictive value (NPV) of 99.53%. …”
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NILAI DIAGNOSTIK OSTEOPOROSIS SELF-ASSESMENT TOOL FOR ASIANS TERHADAP DUAL ENERGY X-RAY ABSORBTIOMETRY DALAM PENAPISAN OSTEOPOROSIS STUDI PADA WANITA POST MENOPAUSE by Daniel Yoga Kurniawan, Tanti Ajoe Kesoema, Meita Hendrianingtyas

“…Hasil yang diperoleh di uji dengan tabel 2x2 untuk memperoleh hasil sensitivitas, spesifisitas, positive predictive value (PPV), dan negative predictive value (NPV). …”
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Early life predictors of adolescent suicidal thoughts and adverse outcomes in two population-based cohort studies. by Jennifer Dykxhoorn, Simon Hatcher, Marie-Hélène Roy-Gagnon, Ian Colman

“…<h4>Results</h4>The sensitivity was calculated to be 22·7%, specificity was 89·2%, positive predictive value 17·8%, and negative predictive value 91·8% and had similar accuracy in the validation dataset. …”
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Computed tomography with clinical scoring to differentiate phytobezoar from feces in childhood small bowel obstruction by Ning Wang, Xuedong Wu, Xiaodong Lin, Shanshan Zhang, Wei Shen

“…With the combination of debris attenuation (with a cut-off of > 9.0 HU) and AGESS-SBO score (with a cut-off of > 3 points), the positive predictive value (PPV) and negative predictive value (NPV) to diagnose phytobezoar-related SBO were 80% (12/15) and 84% (16/19), respectively. …”
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Redefining Liver Fibrosis Risk Assessment in Indians with Type 2 Diabetes: New FIB-4 Score Cutoff for Optimizing Sequential Assessment with Transient Elastography by Rajat Deb, Soumik Goswami, Nilanjan Sengupta, Arjun Baidya, Vibhu R. Khare, Joydip Datta, Mousumi Das, Debes Ray

“…We found that a FIB-4 of 1.5 rules out CSLF with a sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Diagnostic Accuracy (DA) of 82.9%, 79.9%, 55.7%, 93.8%, and 80.6%, respectively, compared with a FIB4 of 1.3 which has values of 91.5%, 67.3%, 46.1%, 96.2%, and 72.9%, respectively. …”
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Assessing the Potential of Ultrasound Elastography in Diagnosing Early Oral Cancers by Hamzah Ali Babkair

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of USE were calculated. …”
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Diagnostic accuracy of DIPSI criteria for diagnosing gestational diabetes mellitus in Puducherry by S Pravinraj, Mohamed M. Tajudeen, Darshana Zala, Rajini Senthil, Mercy M. Jafrin

“…In comparison to the WHO 2013 criteria, DIPSI had 79.63% sensitivity, 98.18% specificity, 87.76% positive predictive value, and 96.72% negative predictive value. …”
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Identification of the most common pathogenic bacteria in patients with suspected sepsis by multiplex PCR by Mohammad Reza Arabestani, Hossein Fazzeli, Bahram Nasr Esfahani

“…Results: The sensitivity and specificity for universal PCR and multiplex PCR in comparison with BC were 83.87% and 91.58%, and 74.19% and 91.58%, respectively. The positive predictive value (PPV) and the negative predictive value (NPV) for these two PCRs were 76.47% and 94.57%, and 74.19% and 91.58%, respectively. …”
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Development of modified diagnostic criteria for bacterial vaginosis at peripheral health centres in developing countries by Vineeta Mittal, Amita Jain, Yashodhara Pradeep

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of each individual criterion and combinations of criteria were calculated by using Nugent scoring as the gold standard and by chi square test. …”
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Labour Admission Test - A low cost alternative to predict foetal distress and neonatal outcomes by Chandini Sree Lalitha Chinta, Sarvamangala B

“…A statistical analysis comparing normal and abnormal (suspicious + pathological) AT showed high specificity 83.82% and high negative predictive value 92.95%. However, LAT was found to have low sensitivity 59.26% and low positive predictive value 36.36%. …”
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Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana by Bernard Omech, Julius Chacha Mwita, Jose-Gaby Tshikuka, Billy Tsima, Oathokwa Nkomazna, Kennedy Amone-P’Olak

“…The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and specificity = 73%) for the total population, 17 (sensitivity = 56% and specificity = 66%) for females, and 13 (sensitivity = 53% and specificity = 77%) for males. The positive predictive value and negative predictive value were 20% and 89.5%, respectively. …”
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Mannose binding lectin as a marker for coronary artery disease in hypertension by M Dilagamari, V.Amuthavalli

“…From the ROC curve, it has been determined that MBL has sensitivity of 93% & specificity of 96%) with a positive predictive value of 96% & negative predictive value of 84.65%. …”
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Comparison between adenosine triphosphate bioluminescence and aerobic colony count to assess surface sanitation in the hospital environment by Daniele Domenico Raia, Lucia Cannova, Sandro Provenzano, Omar Enzo Santangelo, Dario Piazza, Enrico Alagna, Valentina Bonanno, Luigi Aprea, Alberto Firenze

“…Sensitivity and specificity of bioluminescence test with respect to microbiology were 46% and 71%, whereas positive predictive value and negative predictive value were 53% and 65%, respectively. …”
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SENSITIVITY AND SPECIFICITY OF A NEW TOOL FOR EARLY DETECTION OF RISK FACTORS FOR NON COMMUNICABLE DISEASES IN URBAN WORKERS by Hildagardis Meliyani Erista Nai, Risky Wulandari

“…Results: The nutritional risk factor test had a sensitivity of 15.8% and a specificity of 94.2%. The positive predictive value (PPV) for the nutritional risk factor was 16.7% and the negative predictive value (NPV) was 93.8%. …”
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Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care. by Youli Jiang, Ao Li, Zhihuan Li, Yanfeng Li, Rong Li, Qingshi Zhao, Guisu Li

“…Model performance was evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).…”
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Evaluation of a matrix-assisted laser desorption ionization-time of flight mass spectrometry assisted, selective broth method to screen for vancomycin-resistant enterococci in pati... by Tsi-Shu Huang, Susan Shin-Jung Lee, Chia-Chien Lee, Chiu-Yen Chen, Fang-Chen Chen, Bao-Chen Chen, Cheng Len Sy, Kuan-Sheng Wu

“…The sensitivity, specificity, positive predictive value, and negative predictive value of SBEAVM method after an incubation period of 28 hours were 93.7%, 90.3%, 89.4%, and 94.2%, respectively. …”
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Comparison between Paediatric Advanced Warning Score (PAWS) and Paediatric Early Warning Score (PEWS) in Predicting Intensive Care Unit Admissions in Children by Hitha Rose Mathew, Sweta Shanbhag, Habeeb Ullah Khan

“…Cutoff scores for predicting paediatric ICU admission for each of these scores were derived using the receiver operating characteristics (ROC) curve, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). …”
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Epidemiological study of human brucellosis among febrile patients in Erbil-Kurdistan region, Iraq by Dhary Alewy Almashhadany, Zean Fetehallah Zefenkey, Mohammed Naji Ahmed Odhah

“…The sensitivity, specificity, positive predictive value, and negative predictive value of the Rose Bengal Test in comparison to the blood culture were 100%, 96.9%, 77.5 %, and 100% respectively. …”
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Peritumoral features for assessing invasiveness of lung adenocarcinoma manifesting as ground-glass nodules by Xiao Wang, Hui Xue, Wei Ding, Fei Huang, Yu Zhang, Xin Pang

“…Abstract We evaluated the predictive value of radiomics features from different peritumoral ranges for the invasiveness of ground-glass nodular lung adenocarcinoma using various machine learning models. …”
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