Exploring using HBsAg to predict interferon treatment course to achieve clinical cure in chronic hepatitis B patients: a clinical study by Fei Yan, Fei Tang, Jing Chen, YiCheng Lin, XinYu Chen, Qin Du, WeiLi Yin, Jing Liang, Lei Liu, Fang Wang, BaiGuo Xu, Qing Ye, HuiLing Xiang

“…After adjusting for confounding factors, HBsAg remained a significant predictor (β=6.99, 95%CI: 3.59,10.40; p<0.05), which was finally included to establish the model. The actual and predicted values in the validation cohort were highly matched, meanwhile the mean absolute percentage error (MAPE), root mean square error (RMSE) and accuracy (ACC) of the validation cohort were calculated. …”
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“Pre-Treatment“ and “Post-Treatment” Systemic Inflammatory Markers: Is There Any Prognostic Role for Metastatic Cervical Cancer on Bevacizumab Containing Treatment? by Serkan Yaşar, Ahmet Kadıoğlu, Arif Akyildiz, Nadiye Sever, Mehmet Emin Büyükbayram, Mehmet Bilici, Elanur Karaman, Mehmet Uzun, Murat Bardakcı, Caglar Koseoglu, Irem Bilgetekin, Mehmet Cihan İçli, Alper Türkel, Zafer Arık, Murat Sarı, Tugba Yavuzsen, Mehmet Ali Nahit Sendur, İsmail Erturk, Mutlu Dogan

“…This study aims to evaluate the prognostic and predictive values of both pretreatment and post-treatment parameters at the advanced stage, as well as treatment efficacy after progression with first-line treatment. …”
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Performance of Xpert MTB/RIF ultra for the diagnosis of tuberculous meningitis in children using cerebrospinal fluid by S. M. Mazidur Rahman, Rumana Nasrin, Senjuti Kabir, Faisal Kabir, Asif Md. Rezaur Rahman, Mohammad Khaja Mafij Uddin, A. S. M. Iftekhairul Islam, Razia Khatun, Shakil Ahmed, Md. Badrul Alam Mondal, Mohammad Sadekur Rahman Sarkar, Sayeeda Anwar, Javeed A. Shah, Sayera Banu

“…AFB microscopy showed very low sensitivity (2.3%, 1/44). Negative predictive values for both clinical case definition and CMRS were higher for Ultra (95.8–100%) than Xpert (80.6–84.1%) and L–J culture (79.7–83.1%) (p < 0.001). …”
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Energy Attenuation Prediction of Dye-Doped PMMA Microfibers by Backpropagation Neural Network by Hang Yu, Juan Liu, Jinjin Han, Minghui Chen, Mingjun Ke, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

“…The energy losses of the two kinds of light from different doped PMFs are also calculated based on the predicted values, which are similar to the ones obtained from the EF method. …”
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Validation of a novel questionnaire for assessing occupational exposure to organophosphate pesticides in Chilean agricultural workers by Liliana Zúñiga-Venegas, Liliana Zúñiga-Venegas, Natalia Landeros, Natalia Landeros, Floria Pancetti, Sandra Cortés, Sandra Cortés, Boris Lucero, Ana M. Brito, Ian S. Acuña-Rodríguez, María Teresa Muñoz-Quezada

“…Sensitivity, specificity, predictive values, and Receiver Operating Characteristic (ROC) curve analyses were performed to assess the accuracy.ResultsUrinary DAP levels and AChE inhibition increased in T1 (from 6.54 ± 4.66 to 12.39 ± 9.88 μg/g creatinine, p = 0.004, and from 2.26E-3±6.53E-4 to 1.44E-3±2.73E-4 mmol/min-1*mgProt-1, p &lt; 0.001, respectively), with AChE inhibition (30.99%) exceeding Chilean regulatory threshold. …”
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Effectiveness of 2 Just-in-Time Adaptive Interventions for Reducing Stress and Stabilizing Cardiac Autonomic Function: Microrandomized Trials by Andreas Richard Schwerdtfeger, Josef Martin Tatschl, Christian Rominger

“…This metric is quantified by regressing bodily movement on the root mean square of successive differences and identifying reductions <0.5 SD of the predicted value in real time in everyday life. …”
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Application of Metagenomic and Targeted Next-Generation Sequencing in Diagnosis of Pulmonary Tuberculosis in Bronchoalveolar Lavage Fluid by Yang Z, Liu Q, Hu Y, Geng S, Ni JX

“…The BALF mNGS and tNGS exhibited a sensitivity of 77.66% and a specificity of 100%, with positive and negative predictive values of 100% and 83.72%, respectively, outperforming conventional diagnostic methods. …”
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Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

“…The kernel regression parameters are optimized by minimizing the discrepancies between actual and predicted values of permeability at well locations, the integral permeability of the reservoir domain around each well, and skin factors. …”
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Patient-Specific Instrumentation Benefits for INBONE II Total Ankle Arthroplasty by Charlotte Jones BS, Allison Boden MD, Patricia Friedmann MS, Suzy Wang MS, Ricardo Villar MD, Constantine Demetracopoulos MD, Jonathan Deland MD, Elizabeth Cody MD, Matthew Conti MD, Jensen Henry MD, Scott Ellis MD

“…Accuracy and Alignment of Patient-Specific Instrumentation in Comparison with Prophecy Predicted Values and Non-PSI Cases using Radiographic and Intraoperative Measurements…”
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Diagnostic accuracy of bone-related biomarkers on peri-implantitis: potential of A-proliferation-inducing ligand by Alejandra Chaparro, Valeria Ramírez, María José Bendek, José Nart, Alberto Monje, Andrés Pascual, Carolina Rojas, María Luisa Mizgier, Daniela Albers, Víctor Beltrán

“…The diagnostic accuracy was determined through sensitivity, specificity, predictive values (PV), and receiver operating characteristic (ROC) curves. …”
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LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning by Róbert Stollmayer, Selda Güven, Christian Marcel Heidt, Kai Schlamp, Pál Novák Kaposi, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer

“…In the three cohorts, LI-RADS lesions (≥ LR-3 and LR-M) ≥ 10 mm were detected with sensitivities of 0.41–0.85/0.40–0.90/0.83 (LR-5: 0.85/0.90/0.83) and positive predictive values of 0.70–0.94/0.67–0.88/0.90 (LR-5: 0.94/0.88/0.90). …”
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Diagnostic value of EOS count and serum VEGF in bronchial asthma and their correlation with inflammatory factors and lung function indicators by Longqun Liu, Chenfei Zhang, Jian Xu, Wei Hu

“…The EOS count, serum VEGF, inflammatory factors [interleukin-6 (IL-6), interleukin-7 (IL-7), interleukin-10 (IL-10)], and lung function indicators [forced expiratory volume in one second (FEV1%) as a percentage of the predicted value, FEV1/forced vital capacity (FVC)] were compared among different groups. …”
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Potential supplementary tumor markers for liquid biopsy in non-small cell lung cancer by Jin Xiang, Junyan Peng, Zhifang Xing, Guoqiang Ren, Huating Zhang, Xiaodong Song, Bo Zhang, Ming Guan, Guojun Cao

“…The dPCR assay demonstrated positive predictive values of 73.33% for 19del and 28.57% for T790M. …”
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Understanding the causal effects and heterogeneity between metabolic syndrome and lung function: a nationwide prospective cohort study in China by Jun Wang, Hai-bin Yu, Si-yuan Lei, Huan-rong Ruan, Xiao-chuan Guo, Jian-sheng Li

“…After applying overlap weighting, MetS exposure demonstrated a significant adverse causal effect on the peak expiratory flow as a percentage of predicted value (PEF%pred) (average treatment effect = -4.20, p < 0.001), and all participants exposed to MetS demonstrated individual treatment effects below zero. …”
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Performance of OncoE6TM Cervical Test in detecting cervical precancer lesions in HIV-positive women attending an HIV clinic in Bujumbura, Burundi: a cross-sectional study by Zacharie Ndizeye, Sonia Menon, Jean-Pierre Van Geertruyden, Catherine Sauvaget, Y Jacquemyn, John-Paul Bogers, Ina Benoy, Davy Vanden Broeck

“…The sensitivity, specificity, and positive and negative predictive values of the different tests were calculated with reference to ‘colposcopic-histological’ diagnoses, and areas under the receiver operating curves of OncoE6 and cytology tests were compared.Results The prevalence of CIN was 4.9%, and OncoE6 positivity was 3.1%. …”
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A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study by Samira Zeynalova, Peter Worringen, Stefan Bassler, Anja Martin, Katrin Czech, Lars Greulich, Matthias Reusche, Ute Enders, Nigar Reyes, Maryam Yahiaoui-Doktor, Matthias Collier, Markus Loeffler, Tina Stegmann

“…The agreement between the self-reports and health insurance data (HID) was examined by calculating sensitivity, specificity, Cohen`s Kappa, positive and negative predictive values. We used multivariable logistic regression models to examine whether odds ratios (OR) for the association between risk factors and the certain disease changed, depending on whether self-reports or HID was used as the dependent variable. …”
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Evaluation of the predictors of successful sperm retrieval of micro-TESE in cases with mosaic Klinefelter versus cases with non-mosaic Klinefelter: a prospective case series study by Amr Elahwany, Fatma A. Elrefaey, Hisham Alahwany, Hesham Torad, Sameh Fayek GamalEl Din, Rashad Mohammed Saeed Dawood, Mohamed Wael Ragab, Ahmed Fawzy Megawer

“…Moreover, the cutoff point and sensitivity and specificity and positive and negative predictive values for Rt and Lt testicular volumes were as follows 2 ml, 73.1%, 61.4%, 52.78, 79.41, 2 ml, 76.9%, 57.8%, 51.28 and 80.65, respectively. …”
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Peripheral immune signatures associated with the risk of hepatocarcinogenesis in cirrhotic Egyptian HCV patients before and after treatment with direct-acting antivirals by Reem El-Shenawy, Rehab I. Moustafa, Naiera M. Helmy, Yasmine S. El-Abd, Ashraf A. Tabll, Yasser K. Elesnawy, Heba Shawky

“…The calculated cutoff values demonstrated remarkable prognostic capacity, with ranges of 88–99.41% and 82.14–97.92% and positive/negative predictive values ranging from 84.62 to 98.3% and 92–98%, respectively. …”
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Improvement in genetic evaluation of quantitative traits in sheep by enriching genetic model with dominance effects by Farhad Ghafouri-Kesbi, Morteza Mokhtari, Mohsen Gholizadeh

“…The predictive ability of models was measured using the mean squared error of prediction (MSE) and Pearson’s correlation coefficient between the real and predicted values of records (r( $$\:y$$ , $$\:\widehat{y}$$ )). …”
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Construction and validation of coronary heart disease risk prediction model for general hospitals in Tacheng Prefecture, Xinjiang, China by Yikang Xu, Jingru Ma, Yang Yang, Limin Liu, Xinran Zhao, Yu Wang, Alimu Mijiti, Qiangru Cheng, Jun Ma

“…The Hosmer-Lemeshow test indicated P = 0.325 for the training group and P = 0.130 for the validation group, with calibration curves closely fitting the ideal curve. The predicted values aligned well with actual values, and decision curve analysis results suggest that the model offers a net clinical benefit.ConclusionThe CHD risk prediction model developed in this study for general hospitals in Tacheng Prefecture, Xinjiang, demonstrates strong predictive performance and serves as a simple, user-friendly, cost-effective tool for medical personnel to identify high-risk groups for CHD.…”
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