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73661por Yasin, Parhat, Cai, Xiaoyu, Mardan, Muradil, Xu, Tao, Abulizi, Yakefu, Aimaiti, Abasi, Yang, Huan, Sheng, Weibin, Mamat, Mardan“…The receiver operating characteristic (ROC) curve’s area under the curve (AUC) and the calibration curve’s respective curves were used to further validate the model’s calibration with predictability and discriminative capabilities. By using decision curve analysis, the resulting model’s clinical effectiveness was assessed. …”
Publicado 2023
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73662por Hui, Yuan, Ma, Qi, Zhou, Xue-Rui, Wang, Huan, Dong, Jian-Hua, Gao, Li-Na, Zhang, Tian, Li, Yan-Yi, Gong, Ting“…With a lower residual and root mean square error and a larger area under the curve (AUC = 0.951), the Random forest machine model showed the greatest discriminative performance. The resulting random forest model was based on five genes, and it performed well (AUC = 0.894) on external validation datasets. …”
Publicado 2023
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73663“…Receiver operating characteristic (ROC) analyses and the area under the ROC curve (AUC) were then used to assess the ability of UA, UA/CR, and UHR to discriminate kidney impairment in T2DM. RESULTS: UA and UHR demonstrated a positive association with DKD risk (P < 0.05). …”
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73664por Yang, Ruoning, Wu, Yunhao, Qi, Yana, Liu, Weijing, Huang, Ya, Zhao, Xin, Chen, Ruixian, He, Tao, Zhong, Xiaorong, Li, Qintong, Zhou, Li, Chen, Jie“…The C-index of 0.852 (0.842-0.862) in the training cohort and 0.876 (0.868-0.892) in the testing cohort indicated satisfactory discriminative ability of the nomogram. Calibration plots showed favorable consistency between the nomogram predictions and actual observations in both the training and validation cohorts. …”
Publicado 2023
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73665“…RESULTS: Our results indicate that local communities in Kakamega were able to discriminate between six different and scientifically recognized stingless bee species, and they provided detailed accounts on the species-specific non-food uses of these SBH. …”
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73666“…We aimed to accurately evaluate the discriminative ability of the three tests administrated at the same visit simultaneously in detecting AD and MCI due to AD in the absence of a gold standard. …”
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73667“…RESULTS: TNM stages, S2 and S3 were identified as the significant prognosis factors for both OS and PFS; S2 (OS: (HR (95%), 2.26 (1.40–3.67); PFS: (HR (95%), 2.23 (1.36–3.65)) demonstrated the best ability in discriminating patients with over- and under-expression. …”
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73668por van der Sar, Iris G., Wijsenbeek, Marlies S., Braunstahl, Gert-Jan, Loekabino, Jason O., Dingemans, Anne-Marie C., In ‘t Veen, Johannes C. C. M., Moor, Catharina C.“…Data were analyzed with partial least squares discriminant and receiver operating characteristic analyses. …”
Publicado 2023
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73669por Choi, Jung-Yeon, Yoo, Sooyoung, Song, Wongeun, Kim, Seok, Baek, Hyunyoung, Lee, Jun Suh, Yoon, Yoo-Seok, Yoon, Seonghae, Lee, Hae-Young, Kim, Kwang-il“…Compared to the random forest, Adaboost, and decision tree models, the least absolute shrinkage and selection operator logistic regression model showed good internal discriminative accuracy (internal AUC 0.723, 95% CI 0.701-0.744) and transportability (external AUC 0.703, 95% CI 0.692-0.714) for the primary outcome. …”
Publicado 2023
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73670“…METHODS: This cross-sectional study used a pilot-tested, content-validated, multi-linguistic online survey within Europe, distributed through a non-discriminative snowball sampling method. Inclusion was limited to facilitators observing behavioural skills within a medical team setting. …”
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73671por Behdarvandian, Paria, Nasr-Esfahani, Ali, Tavalaee, Marziyeh, Pashaei, Kosar, Naderi, Nushin, Darmishonnejad, Zahra, Hallak, Jorge, Aitken, Robert J., Gharagozloo, Parviz, Drevet, Joël R., Nasr-Esfahani, Mohammad Hossein“…In the cohort analyzed, conventional sperm parameters do not seem to discriminate with aging. Only sperm volume and motility were significantly lower in the oldest age group analyzed [50–59 years of age]. …”
Publicado 2023
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73672por Genovese, Davide, De Michieli, Laura, Prete, Giacomo, De Lazzari, Manuel, Previtero, Marco, Mele, Donato, Cernetti, Carlo, Tarantini, Giuseppe, Iliceto, Sabino, Perazzolo Marra, Martina“…Moreover, lnLAEI accurately identified PCWP ≥ 15 mmHg (AUC = 0.939, p < 0.001), and the optimal cut-off identified (lnLAEI ≤ 3.85) in the derivation cohort discriminated PCWP ≥ 15 mmHg with 82.4% sensitivity, 88.2% specificity, and 85.3% accuracy in the validation cohort. …”
Publicado 2023
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73673A bile-based microRNA signature for differentiating malignant from benign pancreaticobiliary diseasepor Mato Prado, Mireia, Puik, Jisce R., Castellano, Leandro, López-Jiménez, Elena, Liu, Daniel S. K., Meijer, Laura L., Le Large, Tessa Y. S., Rees, Eleanor, Funel, Niccola, Sivakumar, Shivan, Pereira, Stephen P., Kazemier, Geert, Zonderhuis, Babs M., Erdmann, Joris I., Swijnenburg, Rutger-Jan, Frilling, Andrea, Jiao, Long R., Stebbing, Justin, Giovannetti, Elisa, Krell, Jonathan, Frampton, Adam E.“…As bile flows in close proximity to these lesions, we aimed to establish a bile-based microRNA (miRNA) signature to discriminate between malignant and benign pancreaticobiliary diseases. …”
Publicado 2023
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73674por Feliu-Soler, Albert, Borràs, Xavier, Peñarrubia-María, María T., Rozadilla-Sacanell, Antoni, D’Amico, Francesco, Moss-Morris, Rona, Howard, Matthew A., Fayed, Nicolás, Soriano-Mas, Carles, Puebla-Guedea, Marta, Serrano-Blanco, Antoni, Pérez-Aranda, Adrián, Tuccillo, Raffaele, Luciano, Juan V.“…Specifically, we will determine whether there are morphometric and functional changes associated with participation in MBSR in brain regions related to meta-awareness, body awareness, memory consolidation-reconsolidation, emotion regulation and in networks postulated to underpin the sensory-discriminative, cognitive-evaluative and affective-motivational aspects of the pain experience. …”
Publicado 2016
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73675por Lertjuthaporn, Sakaorat, Cicala, Claudia, Van Ryk, Donald, Liu, Matthew, Yolitz, Jason, Wei, Danlan, Nawaz, Fatima, Doyle, Allison, Horowitch, Brooke, Park, Chung, Lu, Shan, Lou, Yang, Wang, Shixia, Pan, Ruimin, Jiang, Xunqing, Villinger, Francois, Byrareddy, Siddappa N., Santangelo, Philip J., Morris, Lynn, Wibmer, Constantinos Kurt, Biris, Kristin, Mason, Rosemarie D., Gorman, Jason, Hiatt, Joseph, Martinelli, Elena, Roederer, Mario, Fujikawa, Dai, Gorini, Giacomo, Franchini, Genoveffa, Arakelyan, Anush, Ansari, Aftab A., Pattanapanyasat, Kovit, Kong, Xiang-Peng, Fauci, Anthony S., Arthos, James“…Thus, V2 mimics MAdCAM in the way that it binds to α(4)β(7), providing HIV a potential mechanism to discriminate between functionally distinct subsets of lymphocytes, including those with gut-homing potential. …”
Publicado 2018
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73676por Nickel, Stefan, Schröder, Winfried, Schmalfuss, Roman, Saathoff, Maike, Harmens, Harry, Mills, Gina, Frontasyeva, Marina V., Barandovski, Lambe, Blum, Oleg, Carballeira, Alejo, de Temmerman, Ludwig, Dunaev, Anatoly M., Ene, Antoaneta, Fagerli, Hilde, Godzik, Barbara, Ilyin, Ilia, Jonkers, Sander, Jeran, Zvonka, Lazo, Pranvera, Leblond, Sebastien, Liiv, Siiri, Mankovska, Blanka, Núñez-Olivera, Encarnación, Piispanen, Juha, Poikolainen, Jarmo, Popescu, Ion V., Qarri, Flora, Santamaria, Jesus Miguel, Schaap, Martijn, Skudnik, Mitja, Špirić, Zdravko, Stafilov, Trajce, Steinnes, Eiliv, Stihi, Claudia, Suchara, Ivan, Uggerud, Hilde Thelle, Zechmeister, Harald G.“…Based on moss data collected in 2010/2011 throughout Europe and data on total atmospheric deposition modelled by two chemical transport models (EMEP MSC-E, LOTOS-EUROS), correlation coefficients between concentrations of heavy metals in moss and in modelled atmospheric deposition were specified for spatial subsamples defined by ecological land classes of Europe (ELCE) as a spatial reference system. Linear discriminant analysis (LDA) and logistic regression (LR) were then used to separate moss sampling sites regarding their contribution to the strength of correlation considering the areal percentage of urban, agricultural and forestry land use around the sampling location. …”
Publicado 2018
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73677por Pérez-Grijalba, Virginia, Arbizu, Javier, Romero, Judith, Prieto, Elena, Pesini, Pedro, Sarasa, Leticia, Guillen, Fernando, Monleón, Inmaculada, San-José, Itziar, Martínez-Lage, Pablo, Munuera, Josep, Hernández, Isabel, Buendía, Mar, Sotolongo-Grau, Oscar, Alegret, Montserrat, Ruiz, Agustín, Tárraga, Lluis, Boada, Mercè, Sarasa, Manuel“…TP42/40 ratio alone identified Aβ-PET status with an area under the curve (AUC) of 0.881 (95% confidence interval [CI] = 0.779–0.982). Discriminating performance of TP42/40 to detect Aβ-PET-positive subjects yielded sensitivity and specificity values at Youden’s cutoff of 77.8% and 87.5%, respectively, with a positive predictive value of 0.732 and negative predictive value of 0.900. …”
Publicado 2019
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73678por Haertle, Larissa, Müller, Tobias, Lardenoije, Roy, Maierhofer, Anna, Dittrich, Marcus, Riemens, Renzo J. M., Stora, Samantha, Roche, Mathilde, Leber, Markus, Riedel-Heller, Steffi, Wagner, Michael, Scherer, Martin, Ravel, Aimé, Mircher, Clotilde, Cieuta-Walti, Cecile, Durand, Sophie, van de Hove, Daniel L. A., Hoffmann, Per, Ramirez, Alfredo, Haaf, Thomas, El Hajj, Nady, Mégarbané, André“…RESULTS: Two thousand seven hundred sixteen differentially methylated sites and regions discriminating T21 and healthy individuals were identified. …”
Publicado 2019
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73679por Alegret, Montserrat, Muñoz, Nathalia, Roberto, Natalia, Rentz, Dorene M., Valero, Sergi, Gil, Silvia, Marquié, Marta, Hernández, Isabel, Riveros, Catalina, Sanabria, Angela, Perez-Cordon, Alba, Espinosa, Ana, Ortega, Gemma, Mauleón, Ana, Abdelnour, Carla, Rosende-Roca, Maitee, Papp, Kathryn V., Orellana, Adela, Benaque, Alba, Tarraga, Lluís, Ruiz, Agustín, Boada, Mercè“…A cutoff of 31.5 in total FACEmemory® obtained 80.5% and 80.3% sensitivity and specificity values, respectively, for discriminating between CH and aMCI. Automatically corrected FACEmemory® scores were highly correlated with the manually corrected ones. …”
Publicado 2020
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73680“…Through online software prediction, miR-29c-3p has been discriminated as the target miRNA of LINC01296 for further research, and subsequent luciferase assay confirmed bioinformatics prediction. …”
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