Associations Between the Atherogenic Index of Plasma and Triglyceride-Glucose Index With Coronary Microvascular Dysfunction in Hypertensive Patients by Cui X, Li M, Jing A, Zhang Y, Zheng L, Li T, Hao T, Lang J, Guo Z, Cong H, Zhang Y

“…Both biomarkers exhibit strong predictive value, with AIP showing greater specificity and TyG higher sensitivity. …”
Get full text

The Aggregate Index of Systemic Inflammation (AISI) is a Novel IgA Nephropathy Prognosis Predictor by Liu H, Tang G, Yu D, Gu P, Zhu X, Wang A, Yuan Y, Jiang X

“…We aimed to evaluate its predictive value in IgAN.Patients and Methods: This retrospective single-center study included 1792 biopsy-confirmed IgAN patients from October 2019 to September 2023 with> 12-month follow-up. …”
Get full text

Seroprevalence of <i>Toxoplasma gondii</i> in Cattle in Southern Egypt: Do Milk and Serum Samples Tell the Same Story? by Ragab M. Fereig, El-Sayed El-Alfy, Azzah S. Alharbi, Mona Z. Abdelraheem, Abdulaziz M. Almuzaini, Mosaab A. Omar, Omnia M. Kandil, Caroline F. Frey

“…When the serum ELISA was taken as the gold standard, the milk ELISA had the following characteristics: sensitivity (78.9%), specificity (100%), positive predictive value (100%), negative predictive value (97.1%), and area under the receiver operating characteristic (ROC) curve (0.6, <i>p</i> = 0.0011). …”
Get full text

Solitary rectal ulcer syndrome: MRI findings and differentiation from rectal cancer by Peiyi Xie, Xiaoying Lou, Shuai Fu, Xiaohui Di, Qitong Huang, Zhiming Zeng, Kexin Niu, Junying Zhu, Meiyu Hu, Xiaochun Meng

“…Interestingly, in the combinations of MRI features including unrestricted diffusion, hypo- or high-low mixed intensity on T2WI, and layer enhancement or submucosal edema showed an excellent diagnostic performance with area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 0.97 (95% CI: 0.92, 1.00), 93%, 100%, 100%, 98%, and 99%, respectively, in differentiating SRUS from rectal cancer. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

FNA-Tg improves the diagnostic efficacy of FNAC for PTC lateral cervical LN metastasis by Junsong Liu, Rui Wang, Chongwen Xu, Ruimin Zhao, Shiyang Wang, Qian Zhao, Honghui Li, Xiaobao Yao, Rui Gao, Yanxia Bai, Shaoqiang Zhang

“…The optimal cutoff of FNA-Tg was 36.22 ng/mL, and the values of area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) was 0.88, 0.89, 0.75, 0.91 and 0.71, respectively. …”
Get full text

Correlation between serum inflammatory factors and psychosomatic syndrome in patients with chronic obstructive pulmonary disease: an observational study by Wenjing Zhang, Yujuan Cui, Ling Sun, Chunlin Tu, Yanfang Yu

“…Binary logistic regression and ROC curve analyses were employed to assess the correlation between inflammatory factors, symptom burden, and psychosomatic syndrome, as well as their diagnostic and predictive value for psychosomatic syndrome.ResultsAmong 202 AECOPD patients, 144 were in the DCPR (+) group and 58 in the DCPR (-) group. …”
Get full text

Development and validation of a CT algorithm based on intratumoral necrosis and tumor morphology to predict the nuclear grade of small (2–4 cm) solid clear cell renal cell carcinom... by Jianyi Qu, Pingyi Zhu, Xianli Zhu, Xinyan Li, Wenjie Zhang, Xinhong Song, Xiaofei Wang, Chenchen Dai, Qianqian Zhang, Jianjun Zhou

“…The CT score of ≥ 3 exhibited a sensitivity of 54.00% and 54.76% in the initial and validation cohorts, respectively, with corresponding specificity of 90.16% and 88.07%, accuracy of 82.40% and 81.65%, positive predictive value of 60.00% and 52.27%, and negative predictive value (NPV) of 87.77% and 89.08%. …”
Get full text

Colorimetric test for early diagnosis of spontaneous bacterial peritonitis. by Claudia G. Solis-Hernandez, Marycamen Alegria-Ovando, Kenia M. Bastida-Guadarrama, F. Yael Duran-Vargas, Paola Zuñiga-Escobedo, Monica Garcia-Baca, D. Ernestina Espinoza-Lopez, Rodrigo Toledo-Galvan, Jessica Mejia-Ramirez, Maria F. Higuera de la Tijera, Jose L. Perez-Hernandez

“…The sensitivity of the dipstick compared to the cytochemical method was 92.3%, its specificity 86.2%, its positive predictive value (PPV) 99.4%, and its negative predictive value (NPV) 98.6%. …”
Get full text

Gut microbiota dysbiosis in patients with Alzheimer’s disease and correlation with multiple cognitive domains by Qionglei Chen, Jiayu Shi, Gaojie Yu, Huijia Xie, Shicheng Yu, Jin Xu, Jiaming Liu, Jing Sun

“…We further identified characteristic bacteria and SCFAs, and receiver operating characteristic (ROC) curve was used to determine the predictive value.ResultsOur results showed that the microbiota dysbiosis index was significantly higher in the severe and mild AD patients compared to the healthy control (HC). …”
Get full text

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). …”
Get full text

Pregnancy Carpal Tunnel: Nerve/Tendon Ratio (NTR)—A New Paradigm by Fatih Şahin, Recep Yilmaz Bayraktarli, Veli Mihmanlı

“…A receiver operating characteristic curve was generated, and the NTR cut-off point of 0.82% showed a sensitivity of 51.9% and a specificity of 67.9%. The positive predictive value and the negative predictive value were 61.2% and 59.1%, respectively, with the mentioned point as the diagnostic threshold (area under the curve 0.592 (95% confidence interval [CI]: 0.503–0.680)). …”
Get full text

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. …”
Get full text

68Ga-labeled prostate specific membrane antigen HBED-CC PET/MRI for staging and evaluating the clinicopathological characteristics in newly diagnosed prostate cancer by Xiaoyu Su, Shuangli Yang, Feng Qiao, Hui Wang, Tao Wu, Gan Zhu, Wenjing Yu, Xiao Wang

“…Calculated the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 68Ga-PSMA-11 PET/MRI for T, N, M staging, respectively. …”
Get full text

Middle Cerebral Artery Pulsatility Index for Prediction of Successful Induction of Labour in Postdated Pregnancy: A Prospective Observational Study by Yashi Nagar, Rekha Bharti, Kajal Baleja, Amita Malik, Divya Pandey, Jyotsna Suri

“…At a cut-off of <1.67, MCA PI had a sensitivity of 100%, a specificity of 99.3%, a Positive Predictive Value (PPV) of 84.6%, a Negative Predictive Value (NPV) of 100%, and diagnostic accuracy of 99.3%, for prediction of successful IOL. …”
Get full text

Which scale is best to assess the risk of upper gastrointestinal bleeding in patients with stable coronary artery disease in the Russian population? by O. O. Shakhmatova, A. L. Komarov, U. P. Ergasheva, V. V. Korobkova, L. O. Minushkina, V. A. Brazhnik, D. A. Zateyshchikov, E. B. Yarovaya, E. P. Panchenko

“…Modification and recalibration of the ORACUL scale significantly increases its predictive value in patients with stable coronary artery disease.…”
Get full text

Predictors of neonatal mortality: development and validation of prognostic models using prospective data from rural Bangladesh by Hasmot Ali, Alain B Labrique, Farhad A Khan, Luke C Mullany, Lee F-S Wu, Saijuddin Shaikh, Kelsey Alland, Keith P West Jr

“…Prognostic multivariable models were developed and internally validated.Results Recalling ≥1 sign of lethargy, cyanosis, non-cephalic presentation or trouble suckling identified postsecond day neonatal death with 65.3% sensitivity, 60.8% specificity, 2.1% positive predictive value (PPV) and 99.3% negative predictive value (NPV) in the development set. …”
Get full text

Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models by Minfang Wang, Wanjun Chen, Ruiping Ren, Yuanwei Lin, Jiawen Tang, Meng Wu

“…BackgroundPeritumoral characteristics demonstrate significant predictive value for neoadjuvant chemotherapy (NAC) response in breast cancer (BC) through tumor-stromal interactions. …”
Get full text