Elevated levels of serum PKM2, Gal-3 and CitH3 could predict pulmonary infection complicated by mechanical ventilation by HUANG Hangdong, LI Danyu, ZHU Xiaofeng

“…Receiver operating characteristic (ROC) curve was used to analyze the predictive value of serum PKM2, Gal-3 and CitH3 for poor prognosis in patients undergoing MV. …”
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Association of lung ultrasound score with 72-hour intubation needs in pneumonia patients presenting to the emergency department by Tanyaporn Nakornchai, Apichaya Monsomboon, Panrada Pathomkajonkul, Ronnapop Jaluspikultip, Rathachai Kaewlai, Nattakarn Praphruetkit, Tipa Chakorn, Sattha Riyapan, Usapan Surabenjawong, Wansiri Chaisirin, Netiporn Thirawattanasoot

“…The optimal cutoff value of 16 yielded a sensitivity of 88.9%, specificity of 69.4%, positive predictive value of 42.1%, and negative predictive value of 96.2%. …”
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Diagnostic performance of the 2019 ESC pre-test probability and Coronary Artery Disease consortium models in estimating obstructive coronary artery disease by Huy Truong Hoang, Dan Van Buu Do, Thao Le Phuong Nguyen, V. V. Maiskov, Z. D. Kobalava

“…The CAD consortium clinical model, with a cut-of value >33%, had a sensitivity of 66.7%, specificity of 79.2%, a positive predictive value of 90%, and a negative predictive value of 45.8% in predicting obstructive CAD.Conclusion. …”
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CLINICAL DIAGNOSTIC VALUE OF OBSCURE ELECTROENCEPHALOGRAPHIC PATTERN "BROAD SHARP WAVE" IN CHILDREN by I. G. Kovalev, I. L. Stepanishhev, V. P. Zykov, T. A. Voronina

“…Thus, the pattern stitch is likely to play a predictive value for the detection of epilepsy, as an indicator of acute and / or remote brain damage. …”
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Adult-capture assays as a tool to measure insecticide resistance in Anopheles malaria vectors: a modeling comparison with larval-capture assays by Inga Holmdahl, Inga Holmdahl, Caroline O. Buckee, Caroline O. Buckee, Lauren M. Childs

“…In simulated samples of 100 test mosquitoes, reflecting WHO-recommended sample sizes, we found that adult-capture samples had a 94% positive predictive value (PPV) for resistance at the WHO’s 10% resistance cutoff, and a 97% negative predictive value (NPV), compared to 98% PPV and 19% NPV for larval-captured samples. …”
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Diagnostic value of serum origin recognition complex protein 1 in the progression of HBVrelated liver fibrosis by LIANG Hongqian, HUANG Long, REN Aoli, SU Minghua, HU Bobin, LI Qingmei, SU Tumei, YIN Qianbing, LI Aining, JIANG Jianning

“…The area under the ROC curve of serum ORC1 in the diagnosis of liver cirrhosis was 0.644 (P < 0.05), the cutoff value was 1, 000.46 ng/L and the sensitivity, specificity, positive predictive value, negative predictive value, and consistency rate were 56.0%, 76.3%, 35.0%, 88.4%, and 72.5%, respectively. …”
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Diagnostic value of hematological parameters in the early diagnosis of acute cholecystitis by Uzun Nedim, Gundogar Ozgecan, Misirlioglu Naile, Yildirim Emine, Sahin Neslin, Dumur Seyma, Uzun Hafize

“…This study evaluates the predictive value of inflammatory indices and hematological markers in diagnosing AC.…”
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Rapid Diagnosis of Bacteremia in Adults Using Acridine Orange Stained Buffy Coat Smears by Mark Miller, Jack Mendelson

“…Compared to blood culture, the overall sensitivity of acridine orange stained buffy coat smears was 16%, specificity 88%, and positive predictive value 13%. There was no statistically significant difference in performance of the test among patients who had fever greater than 39°C and/or shock. …”
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Diagnostic approach to elevated dd-cfDNA with reassuring EMB in heart transplantation by Rupinder K. Bahniwal, Aditya Mehta, Jamie L. W. Kennedy

“…Due to its high negative predictive value, dd-cfDNA is often routinely used for surveillance of asymptomatic patients. …”
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Value of Rapid Antigen Test in Comparison with Reverse Transcriptase-Polymerase Chain Reaction Method in the Diagnosis of COVID-19 by Alireza MIRAHMADIZADEH, Babak Shirazi YEGANEH, Jafar HASSANZADEH, Leila BADIEE, Mohebat VALI, Zahra MALEKI, Ali AKBARI, Tahereh PAKDEL, Haleh GHAEM

“…Sensitivity, specificity, positive predictive value (PPV), negative predictive value, and the accuracy of the RAT were calculated using the MedCalc software. …”
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Diagnostic utility of auramine O smear microscopy for detecting non-tuberculous mycobacteria versus Mycobacterium tuberculosis complex in adult clinical samples: a 5-year retrospec... by Nadia Atiya, Leong Tung Ong, Thian Chee Loh, Chee Kuan Wong, Azwani Abdullah

“…Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) with 95% confidence intervals (CI) were calculated using Open Epi Version 3.01. …”
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The validity of a new resilience scale: the Japan Resilience Scale (J-RS) for mothers with a focus on cultural aspects by Mariko Takeuchi, Michiko Matsunaga, Akimitsu Miyake, Ryuichiro Egashira, Sayaka Hotta, Mai Nakano, Misaki Moriguchi, Fumihiko Yasuno, Masako Myowa, Keisuke Hagihara

“…At a cutoff of 59/60, sensitivity, specificity, positive predictive value, and negative predictive value were 84.1%, 63.9%, 34.6%, and 94.7% respectively. …”
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A simple risk index predicts endovascular treatment outcomes in acute ischemic stroke: prognostic value of SPAN-100 by Noémie Ligot, Marie Dagonnier, Boris Lubicz, Nicolas Brassart, Gilles Naeije

“…Discriminative ability was assessed using receiver operating characteristic (ROC) analysis (AUC, 95% CI), and model performance was evaluated using AIC and BIC. The positive predictive value (PPV) and negative predictive value (NPV) were calculated for SPAN ≥100, and outcome proportions were compared between SPAN-defined groups using Fisher’s exact test.ResultsA total of 530 patients were included, of whom 116 had SPAN scores of ≥100. …”
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Evaluating the diagnostic performance of adult sepsis event criteria in the emergency department: impact of including isolated serum lactate elevations by Hyojun Park, Ryoung-Eun Ko, Hyo-Seok Oh, Jae Young Moon, Youjin Chang, Gee Young Suh

“…Diagnostic performance was assessed using sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). …”
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Predicting survival in bladder cancer with a novel apoptotic gene-related prognostic model by Ding-ming Song, Kun Feng, Wen-fei Luo, Dong-shan Lv, Li-po Zhou, Yi-bo He, Yanyang Jin

“…Nomogram variables, prompted from ARGM and clinical parameters, also generate a high predictive value for patient survival. Conclusion Ourestablished apoptosis-related gene model (ARGM) has a substantial predictive value for prognosis and immunotherapy of bladder cancer. …”
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Clinical utility of artificial intelligence–augmented endobronchial ultrasound elastography in lymph node staging for lung cancerCentral MessagePerspective by Yogita S. Patel, BSc, Anthony A. Gatti, PhD, Forough Farrokhyar, MPhil, PhD, Feng Xie, PhD, Waël C. Hanna, MDCM, MBA

“…NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883). …”
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Ultrasound radiomics models improve preoperative diagnosis and reduce unnecessary biopsies in indeterminate thyroid nodules by Lu Chen, Yan Wang, Yan Wang, Haoyu Jing, Haoyu Jing, Rui Bao, Bin Sun, Mingbo Zhang, Yukun Luo

“…Model performance was evaluated using receiver operating characteristic analysis and compared to two existing assisted diagnostic tools and two junior radiologists.ResultsThe Radunion model achieved the highest performance, with 90.5% sensitivity, 56.8% specificity, 75.0% positive predictive value, 80.7% negative predictive value, and 76.6% accuracy. …”
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Association of high-sensitivity C-reactive protein with fatal and non-fatal cardiovascular events in working-age people: data from the ESSE-RF study by S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, E. B. Yarovaya, Yu A. Balanova, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Maksimov, N. S. Karamnova, Yu. Yu. Samokhina, O. M. Drapkina, N. V. Kulakova, I. A. Trubacheva, A. Yu. Efanov, A. A. Shabunova, O. A. Belova, O. P. Rotar

“…At the same time, adding a wide list of confounders to hs-CRP, sex and age does not improve the model’s predictive value (AUC, 79,7; 78,2-82,1).Conclusion. This study for the first time showed a significant independent contribution of hs-CRP to CVEs development in the Russian population, and the addition of hs-CRP to sex and age significantly increased the predictive value of model.…”
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The value of ultrasonographic scoring method and nomogram in assessing cervical lymph node metastasis of papillary thyroid carcinoma by Liping Chen, Yan Chen, Zhengming Hu, Huali Cai, Xiaona Lin, Jieyu Zhong, Desheng Sun

“…A score of 3 or higher had a diagnostic sensitivity for CLNM of 81.1%, specificity of 85.2%, positive predictive value (PPV) of 83.1%, negative predictive value (NPV) of 83.4%, and Kappa value of 0.664. …”
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Extended sample size calculations for evaluation of prediction models using a threshold for classification by Rebecca Whittle, Joie Ensor, Lucinda Archer, Gary S. Collins, Paula Dhiman, Alastair Denniston, Joseph Alderman, Amardeep Legha, Maarten van Smeden, Karel G. Moons, Jean-Baptiste Cazier, Richard D. Riley, Kym I. E Snell

“…We have reported closed-form solutions to estimate the sample size required to target sufficiently precise estimates of accuracy, specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), and an iterative method to estimate the sample size required to target a sufficiently precise estimate of the F1-score, in an external evaluation study of a prediction model with a binary outcome. …”
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