Dual-Source-CT coronary angiography for predicting success of revascularization in chronic total occlusions by S.D. Reinartz, S. Reith, R. Koos, K.M. Sucigan, C.K. Kuhl, A.H. Mahnken

“…Based on CTO-try an intervention was recommended in 9/25 patients, while revascularization was attempted in 16/25 (64%) patients with a success rate of 56% (n = 9/16). Negative predictive value for revascularization failure was 75%. …”
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Serum Presepsin Levels among Patients with COVID-19 by Fatma Nihan Turhan Çağlar, Cennet Yildiz, Ramazan Korkusuz, Kadriye Kart Yasar, Nilgun Isıksacan

“…The present study was aimed to evaluate presepsin levels in COVID-19 patients and assess its predictive value on severity and mortality of the disease. …”
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Association of Blood Donor-derived Cell-free DNA Levels With Banff Scores and Histopathological Lesions in Kidney Allograft Biopsies: Results From an Observational Study by Aylin Akifova, MD, Klemens Budde, MD, Mira Choi, MD, Kerstin Amann, MD, Maike Buettner-Herold, MD, Michael Oellerich, MD, Julia Beck, PhD, Kirsten Bornemann-Kolatzki, PhD, Ekkehard Schütz, PhD, Friederike Bachmann, MD, Fabian Halleck, MD, Eva V. Schrezenmeier, MD, Evelyn Seelow, MD, Bianca Zukunft, MD, Charlotte Hammett, MD, Nathan A. Pohl, Benedetta Mordà, MD, Jan Kowald, MD, Nils Lachmann, Diana Stauch, Bilgin Osmanodja, MD

“…In the receiver operating characteristic analysis, absolute dd-cfDNA showed best discrimination for MVI of any cause (area under the curve [AUC] 0.88, sensitivity 0.71, specificity 0.86, positive predictive value [PPV] 0.76, negative predictive value [NPV] 0.82), followed by antibody-mediated rejection including mixed rejection (AUC 0.85, sensitivity 0.72, specificity 0.83, PPV 0.69, NPV 0.84), and overall rejection (AUC 0.83, sensitivity 0.66, specificity 0.85, PPV 0.76, NPV 0.77). …”
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Which Is More Valuable in the Diagnosis of Pulmonary Thromboembolism? The Wells Score, the Revised Geneva Score, or the Padua Score? by Hasan Veysel Keskin, Neslihan Ozcelik, Elvan Senturk Topaloglu, Songul Ozyurt, Aziz Gumus, Unal Sahin

“…Negative predictive values increased significantly when combined with age adjusted D-dimer levels. …”
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Prediction Method of Air Braking Force of Heavy Load Train Based on Fuzzy Logic-based Neural Network by SHI Ke, ZHANG Zhengfang, BAI Jinglei, JIANG Jie

“…Finally, according to the current data and the corresponding prediction rules, predicted value of air braking force is output. By processing the data, this method can get rid of the dependence on traditional air braking model, avoid coupling analysis between charging and discharging time and decompression process, and can get air braking force prediction value more accurately. …”
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Assessment of pulmonary embolism probability using a machine learning model by D. V. Gavrilov, A. E. Andreichenko, A. D. Ermak, T. Yu. Kuznetsova, A. V. Gusev

“…The following signs had the greatest prediction value: cough, respiratory disorders, blood creatinine, body temperature, general weakness, heart rate, respiratory rate, edema, antihypertensive therapy, saturation and age.Conclusion. …”
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Electrical cardiometry for early detection of hemodynamically significant patent ductus arteriosus in preterm infants by Rania A. El-Farrash, MD, Adham M. El-Tahry, MD, Mariam N. Farag, MSc, Dina M. Shinkar, MD

“…The area under the curve for CO was 0.751 and the cut-off point was ≤0.53 L/min, with sensitivity of 63.64 %, specificity of 78.57 %, positive predictive value of 70.0 %, and negative predictive value of 73.3 %. …”
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Two sides of the coin: coagulation and inflammation in deep vein thrombosis – a prospective study on D-dimer and SIRI by Ercan Kahraman, Sirin Cetin, Meryem Cetin, Ayse Ulgen, Ayse Ulgen

“…Additionally, the combination of SIRI and D-dimer yielded high positive and negative predictive values for DVT diagnosis.…”
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A telomere-related signature for predicting prognosis and assessing immune microenvironment in osteosarcoma by Shihao Li, Lina Zhang, Haiyang Zhang

“…In addition, the telomere-related signature demonstrated predictive value for the immune microenvironment and drug sensitivity in osteosarcoma. …”
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Control nutritional status score and platelet/lymphocyte ratio relationship with left ventricular hypertrophy in peritoneal dialysispatients by QUAN Yu-di, ZHOU Qiao, FENG Jin-hong, ZHANG Ying

“…Objective Using controlling nutritional status（CONUT） score and platelet to lymphocyte ratio（PLR）,to evaluate the nutritional status and inflammation status of patients with peritoneal dialysis（PD）,and analyze their relationship with left ventricular hypertrophy.Methods The patients undergoing peritoneal dialysis in Department of Nephrology,Affiliated Hospital of Xuzhou Medical University from January 2019 to May 2020 were enrolled.General patient information and laboratory indicators were collected.Cardiac color Doppler ultrasound was used to assess changes in the patient’s cardiac structure.According to the presence or absence of left ventricular hypertrophy（LVH）,the patients were divided into LVH group and non-LVH group.Each indicator was compared between the two groups,and risk factors of LVH were analyzed by logistic regression method.ROC curve was used to analyze the sensitivity and specificity of PLR and CONUT in diagnosing LVH.Results（1） A total of 82 patients were included,and the incidence of LVH was 40.2%.Systolic blood pressure,uric acid,PLR and CONUT scores of the LVH group were significantly higher than those of the non-LVH group; and Hb,LVEF and Alb were significantly lower than those of the non-LVH group（P<0.05）,with statistical significance.（2） Logistic regression analysis showed that systolic blood pressure,PLR and CONUT score were all risk factors affecting left ventricular hypertrophy.（3）The areas under the curve of LVH ROC curve analysis found that,the areas under the curve of LVH PLR and CONUT score predicted in PD patients were 0.743 and 0.822,respectively,and the combined prediction value was 0.855.Conclusions CONUT score and PLR are associated with LVH in peritoneal dialysis patients,and are the influencing factors of LVH.The combination between CONUT score and PLR is more valuable in predicting LVH in PD patients.…”
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Stratified Multisource Optical Coherence Tomography Integration and Cross-Pathology Validation Framework for Automated Retinal Diagnostics by Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma

“…Clinical utility metrics prioritized alignment with ophthalmological imperatives, emphasizing negative predictive value to minimize false negatives and enhance diagnostic reliability. …”
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Relationship between history of falls and foot pressure centre parameters during gait and stance in patients with lower-limb osteoarthritis by Yuya Mawarikado, Yosuke Uchihashi, Yusuke Inagaki, Munehiro Ogawa, Yoshinobu Uchihara, Naoto Seriu, Yukako Ishida, Yasuyo Kobayashi, Asuka Sakata, Keiji Nogami, Midori Shima, Yasuhito Tanaka, Akira Kido

“…Further prospective studies are needed to determine its predictive value for fall prevention.…”
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Combined preoperative platelet-albumin ratio and cancer inflammation prognostic index predicts prognosis in colorectal cancer: a retrospective study by Kuan Wang, Kejin Li, Ziyi Zhang, Xiangyue Zeng, Zhimin Wu, Boxiang Zhang, Yipeng Pan, Lucy Yue Lau, Zeliang Zhao, Yi Chen

“…In this study, we investigated the predictive value of two easy-to-measure preoperative markers, platelet-to-albumin ratio (PAR) and cancer inflammation prognostic index (CIPI), in postoperative survival of patients with CRC. …”
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Brief Communication: Maternal Plasma Autoantibodies Screening in Fetal Down Syndrome by Karol Charkiewicz, Monika Zbucka-Kretowska, Joanna Goscik, Slawomir Wolczynski, Adam Lemancewicz, Piotr Laudanski

“…The second step was to create a classifier of Down syndrome pregnancy, which includes 14 antibodies. The predictive value of the classifier (specificity and sensitivity) is 100%, classification errors, 0%, cross-validation errors, 0%. …”
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Impact of the “L” score from the RENAL nephrometry score on RAPN surgical outcomes in medial versus lateral renal tumors by Yasuhiro Numata, Hiroki Ito, Seiichiro Honda, Kota Kobayashi, Ryosuke Jikuya, Tomoyuki Tatenuma, Go Noguchi, Daiki Ueno, Mitsuru Komeya, Yusuke Ito, Kentaro Muraoka, Kazuki Kobayashi, Hisashi Hasumi, Kazuhide Makiyama

“…In conclusion, significance of the “L” score on surgical outcomes differs between medial and lateral tumors and it is strongly associated with outcomes in medial tumors, whereas its predictive value in lateral tumors is less marked. The RENAL nephrometry score lacks differentiation between medial and lateral tumors; therefore, surgeons should interpret “L” scores with caution.…”
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Clinicopathological and Survival Outcomes of Well-Differentiated Thyroid Carcinoma Undergoing Dedifferentiation: A Retrospective Study from FUSCC by Ben Ma, Weibo Xu, Wenjun Wei, Duo Wen, Zhongwu Lu, Shuwen Yang, Tongzhen Chen, Yulong Wang, Yu Wang, Qinghai Ji

“…Harrell index of concordance (C-index) and Akaike information criterion (AIC) were calculated to compare the predictive value for prognosis among several prognostic classification systems. …”
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Ablation Lesion Assessment with MRI by Lluís Mont, Ivo Roca-Luque, Till F Althoff

“…With a negative predictive value close to 100% it can reliably rule out pulmonary vein reconnection non-invasively and thus may avoid unnecessary invasive repeat procedures where a pulmonary vein isolation only approach is pursued. …”
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Ophthalmologic Psychophysical Tests Support OCT Findings in Mild Alzheimer’s Disease by Elena Salobrar-Garcia, Rosa de Hoz, Blanca Rojas, Ana I. Ramirez, Juan J. Salazar, Raquel Yubero, Pedro Gil, Alberto Triviño, José M. Ramirez

“…The PTs with the greatest predictive value are the higher spatial frequencies in CS and tritan unspecific errors in CP. …”
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Association between obesity indicators and retinopathy in US adults: NHANES 2005–2008 by Chuan-Xi Wang, Miao Kuang, Miao Kuang, Jing-Jing Hou, Si-Yu Lin, Sheng-Zhen Liu, Ning Bao, Zheng-Xuan Jiang

“…ROC curves showed that WWI had the highest predictive value for retinopathy.ConclusionOverall, increased levels of these obesity indicators increase the likelihood of developing retinopathy.…”
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A nomogram for predicting non-curative resection in patients with early gastric cancer based on white light imaging by Mengyu Cao, Linlin Ren, Congcong Min, Zeyuan Diao, Hao Chen, Hua Liu, Xiaoyu Li, Jiahui Xu, Zibin Tian, Tao Mao

“…The nomogram based on these features showed good predictive value for NCR, with an area under the curve (AUC) of 0.8095 (95% CI: 0.7538–0.8651) in the training set and 0.7567 (95% CI: 0.6427–0.8707) in the validation set. …”
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