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  1. 1641
    “…However, the heterologous ectopic overexpression of citrus CitIDA3 and Arabidopsis AtIDA in N. benthamiana did not alter the standard plant phenotype suggesting that the proteolytic processing machinery was unable to yield active peptides. …”
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    IDA (INFLORESCENCE DEFICIENT IN ABSCISSION)-like peptides and HAE (HAESA)-like receptors regulate corolla abscission in Nicotiana benthamiana flowers
  2. 1642
    “…The pAmpC resistance determinants detected were bla(CIT) [12.9% (4/31)], bla(FOX) [9.7% (3/31)], bla(EBC) [6.5% (2/31)], and bla(DHA) [3.2% (1/31)]. …”
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    Distribution and molecular characterization of ESBL, pAmpC β-lactamases, and non-β-lactam encoding genes in Enterobacteriaceae isolated from hospital wastewater in Eastern Cape Province, South Africa
  3. 1643
    “…Neutrophil activation and NETosis, evaluated by levels of circulating myeloperoxidase (MPO) and citrullinated histone 3 (H3-Cit), was similarly increased in both groups (Figure 1). …”
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    Cytokine storm induced coagulopathy in septic shock and critical Covid-19: head-to-head comparison
  4. 1644
    “…METHODS: Hypoxia-induced factor-1α (HIF-1α), citrulline histone 3 (citH3) and CD66b expression in tumour and adjacent nontumor tissue samples was evaluated by western blotting, immunofluorescence and immunohistochemical staining. …”
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    Neutrophil extracellular traps induced by the hypoxic microenvironment in gastric cancer augment tumour growth
  5. 1645
    “…RNA profiles were classified according to 19 reported gene signatures including both gene expression subtypes (e.g. PAM50, IC10, CIT) and risk predictors (e.g. Oncotype DX, 70-gene, ROR). …”
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    Cross comparison and prognostic assessment of breast cancer multigene signatures in a large population-based contemporary clinical series
  6. 1646
    “…Polypharmacy was significantly associated with a higher number of major DDIs (Spearman’s rho 0.33, p < 0.001) and chronic conditions (Spearman’s rho 0.20, p < 0.001), higher 5-GDS scores (thus, lower affective status) (Spearman’s rho 0.12, p = 0.003) and lower EQ-5D-5L scores (thus, lower quality of life) (Spearman’s rho − 0.14, p = 0.001). Patients’ age/sex, 6-CIT scores (cognitive status), BMI or PIM use were not correlated with the number of drugs. …”
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    Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study
  7. 1647
    “…High glycolytic flux increases the amounts of dihydroxyacetone phosphate (DHAP), which is crucial for biosynthesis of phospholipids and triacylglycerols, and pyruvate (Pyr), which can be converted to citrate (Cit) in the mitochondria and enter the biosynthesis of fatty acids (FA). …”
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    c-MYC Triggers Lipid Remodelling During Early Somatic Cell Reprogramming to Pluripotency
  8. 1648
    “…A conditional inference tree (CIT) model first identified geographic and socio-demographic determinants, which were then tested using a logistic regression model. …”
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    Fever and health-seeking behaviour among migrants living along the Thai-Myanmar border: a mixed-methods study
  9. 1649
    “…It appears to us that, in cases of resuscitation two hours after cessation of the heart-beat, (Prus., loc.cit.) the auricles must have kept up a slow but, in some degree, an efficient movement of the blood through the brain. …”
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    THE RESUSCITATION OF THE CENTRAL NERVOUS SYSTEM OF MAMMALS
  10. 1650
    por Gupta, Ravindra K., Goodall, Ruth L., Ranopa, Michael, Kityo, Cissy, Munderi, Paula, Lyagoba, Fred, Mugarura, Lincoln, Gilks, Charles F., Kaleebu, Pontiano, Pillay, Deenan, Grosskurth, H., Munderi, P., Kabuye, G., Nsibambi, D., Kasirye, R., Zalwango, E., Nakazibwe, M., Kikaire, B., Nassuna, G., Massa, R., Fadhiru, K., Namyalo, M., Zalwango, A., Generous, L., Khauka, P., Rutikarayo, N., Nakahima, W., Mugisha, A., Todd, J., Levin, J., Muyingo, S., Ruberantwari, A., Kaleebu, P., Yirrell, D., Ndembi, N., Lyagoba, F., Hughes, P., Aber, M., Medina Lara, A., Foster, S., Amurwon, J., Mugyenyi, P., Kityo, C., Ssali, F., Tumukunde, D., Otim, T., Kabanda, J., Musana, H., Akao, J., Kyomugisha, H., Byamukama, A., Sabiiti, J., Komugyena, J., Wavamunno, P., Mukiibi, S., Drasiku, A., Byaruhanga, R., Labeja, O., Katundu, P., Tugume, S., Awio, P., Namazzi, A., Bakeinyaga, T. G., Katabira, H., Abaine, D., Tukamushaba, J., Anywar, W., Ojiambo, W., Angweng, E., Murungi, S., Haguma, W., Atwiine, S., Kigozi, J., Latif, A., Hakim, J., Robertson, V., Reid, A., Chidziva, E., Bulaya-Tembo, R., Musoro, G., Taziwa, F., Chimbetete, C., Chakonza, L., Mawora, A., Muvirimi, C., Tinago, G., Svovanapasis, P., Simango, M., Chirema, O., Machingura, J., Mutsai, S., Phiri, M., Bafana, T., Chirara, M., Muchabaiwa, L., Muzambi, M., Katabira, E., Ronald, A., Kambungu, A., Lutwama, F., Nanfuka, A., Walusimbi, J., Nabankema, E., Nalumenya, R., Namuli, T., Kulume, R., Namata, I., Nyachwo, L., Florence, A., Kusiima, A., Lubwama, E., Nairuba, R., Oketta, F., Buluma, E., Waita, R., Ojiambo, H., Sadik, F., Wanyama, J., Nabongo, P., Ochai, R., Muhweezi, D., Gilks, C., Boocock, K., Puddephatt, C., Winogron, D., Bohannon, J., Darbyshire, J., Gibb, M. D., Burke, A., Bray, D., Babiker, A., Walker, S. A., Wilkes, H., Rauchenberger, M., Sheehan, S., Peto, L., Taylor, K., Spyer, M., Ferrier, A., Naidoo, B., Dunn, D., Goodall, R., Nanfuka, R., Mufuka-Kapuya, C., Kaleebu, P., Pillay, D., Awio, P., Chirara, M., Dunn, D., Gilks, C., Goodall, R., Kapaata, A., Katuramur, M., Lyagoba, F., Magala, R., Magambo, B., Mataruka, K., McCormick, A., Mugarura, L., Musunga, T., Nabankkema, M., Nkalubo, J., Nkurunziza, P., Parry, C., Robertson, V., Spyer, M., Yirrell, D., Medina Lara, A., Foster, S., Amurwon, J., Nyanzi Wakholi, B., Kigozi, J., Muchabaiwa, L., Muzambi, M., Weller, I., Babiker, A., Bahendeka, S., Bassett, M., Chogo Wapakhabulo, A., Darbyshire, J., Gazzard, B., Gilks, C., Hakim, J., Latif, A., Mapuchere, C., Mugurungi, O., Mugyenyi, P., Burke, C., Jones, S., Newland, C., Rahim, S., Rooney, J., Smith, M., Snowden, W., Steens, J.-M., Breckenridge, A., McLaren, A., Hill, C., Matenga, J., Pozniak, A., Serwadda, D., Peto, T., Palfreeman, A., Borok, M.
    Publicado 2014
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    High Rate of HIV Resuppression After Viral Failure on First-line Antiretroviral Therapy in the Absence of Switch to Second-line Therapy
  11. 1651
    “…CONCLUSIONS: Existing research on partnered YMSM within the framework of Couples Interdependence Theory (CIT) has suggested that relationship factors (eg, dyadic functioning and sexual agreements) are meaningfully related to drug use and HIV transmission risk. …”
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    Motivational Interviewing to Reduce Drug Use and HIV Incidence Among Young Men Who Have Sex With Men in Relationships and Are High Priority for Pre-Exposure Prophylaxis (Project PARTNER): Randomized Controlled Trial Protocol
  12. 1652
    “…The chosen matching parameters were: Patient graft and donor characteristics [age, sex, body mass index (BMI)], indication for transplantation, procedure details, United Network for Organ Sharing classification, BMI, warm ischemia time (WIT), cold ischemia time (CIT), the volume of blood products transfused, and conventional laboratory coagulation analysis. …”
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    Intraoperative thromboelastography as a tool to predict postoperative thrombosis during liver transplantation
  13. 1653
    “…A total of 302 EC and KPN isolates carried bla(OXA-1). Among ECL and CIT, bla(CTX-M-15) and SHV genes encoding ESBLs were noted among 18 and 18 isolates. …”
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    1284. Occurrence of β-Lactamases among Enterobacterales Isolated from United States Hospitals: Results of the INFORM Surveillance Program for Ceftazidime-Avibactam
  14. 1654
    “…FUNDING: Funding for this work was provided by the Intramural Research Programs of the National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institute on Drug Abuse (NIDA) and the Center for Information Technology (CIT). RESEARCH IN CONTEXT: Evidence Before This Study: Less than 10% of persons who meet lifetime criteria for Alcohol Use Disorder (AUD) receive treatment. …”
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    Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status
  15. 1655
    “…Additionally, multivariable analysis identified previous dialysis/no preemptive transplantation (OR 2.4 (95% CI: 1.41–4.01), p = 0.021), donor age (OR 1.07 (95% CI: 1.03–1.14), p < 0.010), donor body mass index (OR 1.32 (95% CI: 1.01–1.072), p = 0.04), donors cerebrovascular cause of death (OR 7.8 (95% CI: 2.21–26.9), p < 0.010), donor length of ICU stay (OR 1.27 (95% CI: 1.08–1.49), p < 0.010), as well as CIT pancreas (OR 1.07 (95% CI: 1.03–1.14), p < 0.010) as clinical relevant prognostic predictors for ePGD. …”
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    Correlation of Different Serum Biomarkers with Prediction of Early Pancreatic Graft Dysfunction Following Simultaneous Pancreas and Kidney Transplantation
  16. 1656
    por Roeker, Lindsey E, Scarfo, Lydia, Chatzikonstantinou, Thomas, Abrisqueta, Pau, Eyre, Toby A., Cordoba, Raul, Muntañola Prat, Ana, Villacampa, Guillermo, Leslie, Lori A., Koropsak, Michael, Quaresmini, Giulia, Allan, John N., Furman, Richard R., Bhavsar, Erica B, Pagel, John M., Hernandez-Rivas, Jose Angel, Patel, Krish, Motta, Marina, Bailey, Neil, Miras, Fatima, Lamanna, Nicole, Alonso, Rosalia, Osorio-Prendes, Santiago, Vitale, Candida, Kamdar, Manali, Baltasar, Patricia, Österborg, Anders, Hanson, Lotta, Baile, Mónica, Rodríguez-Hernández, Ines, Valenciano, Susana, Popov, Viola Maria, Barez Garcia, Abelardo, Alfayate, Ana, Oliveira, Ana C, Eichhorst, Barbara, Quaglia, Francesca M., Reda, Gianluigi, Lopez Jimenez, Javier, Varettoni, Marzia, Marchetti, Monia, Romero, Pilar, Riaza Grau, Rosalía, Munir, Talha, Zabalza, Amaya, Janssens, Ann, Niemann, Carsten U, Perini, Guilherme Fleury, Delgado, Julio, Yanez San Segundo, Lucrecia, Gómez Roncero, Ma Isabel, Wilson, Matthew, Patten, Piers, Marasca, Roberto, Iyengar, Sunil, Seddon, Amanda, Torres, Ana, Ferrari, Angela, Cuéllar-García, Carolina, Wojenski, Daniel, El-Sharkawi, Dima, Itchaki, Gilad, Parry, Helen, Mateos-Mazón, Juan José, Martinez-Calle, Nicolas, Ma, Shuo, Naya, Daniel, Van Der Spek, Ellen, Seymour, Erlene K., Gimeno Vázquez, Eva, Rigolin, Gian Matteo, Mauro, Francesca Romana, Walter, Harriet S, Labrador, Jorge, De Paoli, Lorenzo, Laurenti, Luca, Ruiz, Elena, Levin, Mark-David, Šimkovič, Martin, Špaček, Martin, Andreu, Rafa, Walewska, Renata, Perez-Gonzalez, Sonia, Sundaram, Suchitra, Wiestner, Adrian, Cuesta, Amalia, Broom, Angus, Kater, Arnon P., Muiña, Begoña, Velasquez, César A, Ujjani, Chaitra S., Seri, Cristina, Antic, Darko, Bron, Dominique, Vandenberghe, Elisabeth, Chong, Elise A., Lista, Enrico, García, Fiz Campoy, Del Poeta, Giovanni, Ahn, Inhye, Pu, Jeffrey J., Brown, Jennifer R, Soler Campos, Juan Alfonso, Malerba, Lara, Trentin, Livio, Orsucci, Lorella, Farina, Lucia, Villalon, Lucia, Vidal, Maria Jesus, Sanchez, Maria Jose, Terol, Maria Jose, De Paolis, Maria Rosaria, Gentile, Massimo, Davids, Matthew S., Shadman, Mazyar, Yassin, Mohamed A, Foglietta, Myriam, Jaksic, Ozren, Sportoletti, Paolo, Barr, Paul M., Ramos, Rafael, Santiago, Raquel, Ruchlemer, Rosa, Kersting, Sabina, Huntington, Scott F., Herold, Tobias, Herishanu, Yair, Thompson, Meghan C., Lebowitz, Sonia, Ryan, Christine, Jacobs, Ryan W., Portell, Craig A., Isaac, Krista, Rambaldi, Alessandro, Nabhan, Chadi, Brander, Danielle M., Montserrat, Emili, Rossi, Giuseppe, Garcia-Marco, Jose A., Coscia, Marta, Malakhov, Nikita, Fernandez-Escalada, Noemi, Skånland, Sigrid Strand, Coombs, Callie C., Ghione, Paola, Schuster, Stephen J., Foà, Robin, Cuneo, Antonio, Bosch, Francesc, Stamatopoulos, Kostas, Ghia, Paolo, Mato, Anthony R., Patel, Meera
    Publicado 2020
    “…In Co1, 48% were treatment-naïve and 26% were receiving CLL-directed therapy at COVID-19 dx (66% BTKi ± anti-CD20, 19% Venetoclax ± anti-CD20, 9.6% chemo/chemoimmunotherapy (CIT), 1.4% PI3Ki, 4% other). In Co2, 36% were never treated and 49% were receiving CLL-directed therapy (65% BTKi ± anti-CD20, 19% Venetoclax ± anti-CD20, 9.4% multi-novel agent combinations, 1.6% CIT, 1.6% PI3Ki, 1.6% anti-CD20 monotherapy, 1.6% other). …”
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    Worldwide Examination of Patients with CLL Hospitalized for COVID-19
  17. 1657
    por Nembrini, Stefano
    Publicado 2019
    “…The journal published a review of the literature on recursive partition in epidemiological research comparing two decision tree methods: classification and regression trees (CARTs) and conditional inference trees (CITs). There are two sources of potential confusion in the paper for readers: one lies in the definition and the comparison of CITs and CARTs, while the other is more general and it refers to the use of hyper-parameters and their tuning through resampling techniques.…”
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    Prediction or interpretability?
  18. 1658
    “…Results. Compared with CITs, PET/CT was more sensitive to detect the malignant foci and had better patient-based sensitivity and specificity. …”
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    The Diagnostic Value of (18)F-FDG PET/CT in Association with Serum Tumor Marker Assays in Breast Cancer Recurrence and Metastasis
  19. 1659
    “…Detailed nanoscale investigation by atomic force microscopy based peak force-controlled tunneling atomic force microscopy (PF-TUNA) and ultra-high vacuum scanning tunneling microscopy (STM) based current imaging tunneling spectroscopy (CITS) reveal that the UNCD grain boundaries are the preferred electron emission sites. …”
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    Nanoscale investigation of enhanced electron field emission for silver ion implanted/post-annealed ultrananocrystalline diamond films
  20. 1660
    “…When the data set was processed without CITs (classical metabolomics), statistical analysis yielded a pattern of false positives. …”
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    Interaction Metabolomics to Discover Synergists in Natural Product Mixtures
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