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  1. 87821
    “…Nutritional status was defined primarily by serum albumin (SA) concentration (low, <45 g/L [malnourished]; high, ≥45 g/L [well-nourished]), and secondarily by the prognostic nutritional index (PNI) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Cox proportional hazard models were used to examine a 1-year composite outcome of hospitalization for HF or all-cause mortality while adjusting for age, sex, and other clinical confounders. …”
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  2. 87822
    por Di Castelnuovo, Augusto, Costanzo, Simona, Antinori, Andrea, Berselli, Nausicaa, Blandi, Lorenzo, Bonaccio, Marialaura, Bruno, Raffaele, Cauda, Roberto, Gialluisi, Alessandro, Guaraldi, Giovanni, Menicanti, Lorenzo, Mennuni, Marco, My, Ilaria, Parruti, Agostino, Patti, Giuseppe, Perlini, Stefano, Santilli, Francesca, Signorelli, Carlo, Stefanini, Giulio G., Vergori, Alessandra, Ageno, Walter, Aiello, Luca, Agostoni, Piergiuseppe, Al Moghazi, Samir, Arboretti, Rosa, Aucella, Filippo, Barbieri, Greta, Barchitta, Martina, Bartoloni, Alessandro, Bologna, Carolina, Bonfanti, Paolo, Caiano, Lucia, Carrozzi, Laura, Cascio, Antonio, Castiglione, Giacomo, Chiarito, Mauro, Ciccullo, Arturo, Cingolani, Antonella, Cipollone, Francesco, Colomba, Claudia, Colombo, Crizia, Crosta, Francesco, Dalena, Giovanni, Dal Pra, Chiara, Danzi, Gian Battista, D'Ardes, Damiano, de Gaetano Donati, Katleen, Di Gennaro, Francesco, Di Tano, Giuseppe, D'Offizi, Gianpiero, Filippini, Tommaso, Maria Fusco, Francesco, Gaudiosi, Carlo, Gentile, Ivan, Gini, Giancarlo, Grandone, Elvira, Guarnieri, Gabriella, Lamanna, Gennaro L. F., Larizza, Giovanni, Leone, Armando, Lio, Veronica, Losito, Angela Raffaella, Maccagni, Gloria, Maitan, Stefano, Mancarella, Sandro, Manuele, Rosa, Mapelli, Massimo, Maragna, Riccardo, Marra, Lorenzo, Maresca, Giulio, Marotta, Claudia, Mastroianni, Franco, Mazzitelli, Maria, Mengozzi, Alessandro, Menichetti, Francesco, Milic, Jovana, Minutolo, Filippo, Molena, Beatrice, Mussinelli, R., Mussini, Cristina, Musso, Maria, Odone, Anna, Olivieri, Marco, Pasi, Emanuela, Perroni, Annalisa, Petri, Francesco, Pinchera, Biagio, Pivato, Carlo A., Poletti, Venerino, Ravaglia, Claudia, Rossato, Marco, Rossi, Marianna, Sabena, Anna, Salinaro, Francesco, Sangiovanni, Vincenzo, Sanrocco, Carlo, Scorzolini, Laura, Sgariglia, Raffaella, Simeone, Paola Giustina, Spinicci, Michele, Trecarichi, Enrico Maria, Veronesi, Giovanni, Vettor, Roberto, Vianello, Andrea, Vinceti, Marco, Visconti, Elena, Vocciante, Laura, De Caterina, Raffaele, Iacoviello, Licia
    Publicado 2021
    “…Primary outcome in a time-to event analysis was death. We used Cox proportional-hazards models with inverse probability of treatment weighting by multinomial propensity scores. …”
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  3. 87823
    “…In-hospital mortality was 57·7% (1101/1909 patients) and ICU mortality was 57·0% (1088/1909 patients); 462 (43·8%) patients died of refractory hypoxaemia, frequently overlapping with septic shock (n=174). Cox regression identified age (hazard ratio 1·02 [95% CI 1·01–1·03]), Charlson score (1·16 [1·11–1·23]), endotracheal intubation outside of the ICU (ie, before ICU admission; 1·37 [1·10–1·71]), vasopressor use on day 1 (1·29 [1·07–1·55]), D-dimer concentration (1·02 [1·01–1·03]), PaO(2)/FiO(2) on day 1 (0·998 [0·997–0·999]), arterial pH on day 1 (1·01 [1·00–1·01]), driving pressure on day 1 (1·05 [1·03–1·08]), acute kidney injury (1·66 [1·36–2·03]), and month of admission (1·10 [1·03–1·18]) as independent predictors of mortality. …”
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  4. 87824
    “…Baseline D-dimer and t-PA levels were significantly higher in patients developing VTE, while baseline FVIII, vWF and D-dimer levels were greater in subjects who died during follow-up. By Cox analysis, high D-dimer and younger age were significantly associated with mortality. …”
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  5. 87825
    “…Intrapartum pyrexia (3.7% vs 1.0%; P=.046) was significantly increased but the borderline statistical significance was lost after excluding women with antenatal COVID-19 infection (P=.079). Mixed-effects Cox regression showed that vaccination was not significantly associated with birth at <40 weeks’ gestation (hazard ratio, 0.93; 95% confidence interval, 0.71–1.23; P=.624). …”
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  6. 87826
    por Lakeman, Inge M. M., van den Broek, Alexandra J., Vos, Juliën A. M., Barnes, Daniel R., Adlard, Julian, Andrulis, Irene L., Arason, Adalgeir, Arnold, Norbert, Arun, Banu K., Balmaña, Judith, Barrowdale, Daniel, Benitez, Javier, Borg, Ake, Caldés, Trinidad, Caligo, Maria A., Chung, Wendy K., Claes, Kathleen B. M., Collée, J. Margriet, Couch, Fergus J., Daly, Mary B., Dennis, Joe, Dhawan, Mallika, Domchek, Susan M., Eeles, Ros, Engel, Christoph, Evans, D. Gareth, Feliubadaló, Lidia, Foretova, Lenka, Friedman, Eitan, Frost, Debra, Ganz, Patricia A., Garber, Judy, Gayther, Simon A., Gerdes, Anne-Marie, Godwin, Andrew K., Goldgar, David E., Hahnen, Eric, Hake, Christopher R., Hamann, Ute, Hogervorst, Frans B. L., Hooning, Maartje J., Hopper, John L., Hulick, Peter J., Imyanitov, Evgeny N., Isaacs, Claudine, Izatt, Louise, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Uffe Birk, Jiao, Yue, John, Esther M., Joseph, Vijai, Karlan, Beth Y., Kets, Carolien M., Konstantopoulou, Irene, Kwong, Ava, Legrand, Clémentine, Leslie, Goska, Lesueur, Fabienne, Loud, Jennifer T., Lubiński, Jan, Manoukian, Siranoush, McGuffog, Lesley, Miller, Austin, Gomes, Denise Molina, Montagna, Marco, Mouret-Fourme, Emmanuelle, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Olah, Edith, Olopade, Olufunmilayo I., Park, Sue K., Parsons, Michael T., Peterlongo, Paolo, Piedmonte, Marion, Radice, Paolo, Rantala, Johanna, Rennert, Gad, Risch, Harvey A., Schmutzler, Rita K., Sharma, Priyanka, Simard, Jacques, Singer, Christian F., Stadler, Zsofia, Stoppa-Lyonnet, Dominique, Sutter, Christian, Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Teulé, Alex, Thomassen, Mads, Thull, Darcy L., Tischkowitz, Marc, Toland, Amanda E., Tung, Nadine, van Rensburg, Elizabeth J., Vega, Ana, Wappenschmidt, Barbara, Devilee, Peter, van Asperen, Christi J., Bernstein, Jonine L., Offit, Kenneth, Easton, Douglas F., Rookus, Matti A., Chenevix-Trench, Georgia, Antoniou, Antonis C., Robson, Mark, Schmidt, Marjanka K.
    Publicado 2021
    “…METHODS: We included women of European ancestry with a prevalent first primary invasive BC (BRCA1 = 6,591 with 1,402 prevalent CBC cases; BRCA2 = 4,208 with 647 prevalent CBC cases) from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), a large international retrospective series. Cox regression analysis was performed to assess the association between overall and ER-specific PRS(313) and CBC risk. …”
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  7. 87827
    “…DESIGN, SETTING, AND PARTICIPANTS: This prognostic study developed risk models, graphically represented as nomograms, for patients with incomplete pathological response using Cox proportional hazards and multivariable regression analyses with restricted cubic splines. …”
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  8. 87828
    “…In terms of short-term prognosis, the incidence of adverse cardiovascular events was significantly higher in the third quartile than in the first quartile (P = 0.003) and the second quartile (P = 0.008). Multivariate Cox proportional hazard analysis showed that adverse cardiovascular events were independently associated with NYHA class, atrial fibrillation, lgNT-proBNP and liver elasticity value (HR = 1.208, 95% CI 1.115–1.352, P = 0.002). …”
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  9. 87829
    “…Finally, the effect of Lp-PLA2 inhibition was assessed in STABILITY in the higher risk group. Cox proportional hazards models adjusted for confounders were used to assess associations. …”
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  10. 87830
    por Xiang, Michael, Ma, Ting Martin, Savjani, Ricky, Pollom, Erqi L., Karnes, R. Jeffrey, Grogan, Tristan, Wong, Jessica K., Motterle, Giovanni, Tosoian, Jeffrey J., Trock, Bruce J., Klein, Eric A., Stish, Bradley J., Dess, Robert T., Spratt, Daniel E., Pilar, Avinash, Reddy, Chandana, Levin-Epstein, Rebecca, Wedde, Trude B., Lilleby, Wolfgang A., Fiano, Ryan, Merrick, Gregory S., Stock, Richard G., Demanes, D. Jeffrey, Moran, Brian J., Huland, Hartwig, Tran, Phuoc T., Martin, Santiago, Martinez-Monge, Rafael, Krauss, Daniel J., Abu-Isa, Eyad I., Alam, Ridwan, Schwen, Zeyad, Pisansky, Thomas M., Choo, C. Richard, Song, Daniel Y., Greco, Stephen, Deville, Curtiland, McNutt, Todd, DeWeese, Theodore L., Ross, Ashley E., Ciezki, Jay P., Boutros, Paul C., Nickols, Nicholas G., Bhat, Prashant, Shabsovich, David, Juarez, Jesus E., Chong, Natalie, Kupelian, Patrick A., Rettig, Matthew B., Zaorsky, Nicholas G., Berlin, Alejandro, Tward, Jonathan D., Davis, Brian J., Reiter, Robert E., Steinberg, Michael L., Elashoff, David, Horwitz, Eric M., Tendulkar, Rahul D., Tilki, Derya, Czernin, Johannes, Gafita, Andrei, Romero, Tahmineh, Calais, Jeremie, Kishan, Amar U.
    Publicado 2021
    “…Biochemical recurrence (BCR), distant metastasis (DM), prostate cancer–specific mortality (PCSM), and overall survival (OS) were analyzed using Fine-Gray and Cox regressions. Model performance was quantified with the concordance (C) index. …”
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  11. 87831
  12. 87832
    “…La survie et la durée de séjour hospitalier moyennes étaient évaluées par une analyse de survie (Kaplan-Meier et régression de Cox). RÉSULTATS ET ANALYSE STATISTIQUE: 70 patients ont été inclus (âge moyen = 64 ± 16 ans, indice de masse corporel (IMC) moyen habituel= 29 ± 5 kg/m(2)). …”
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  13. 87833
    “…LC at 6 months was 95.3% (concurrent) vs. 69.2% (non-concurrent; p = 0.008). Univariate Cox regression analysis detected following prognostic factors for OS: neutrophil-to-lymphocyte ratio NLR favoring <3 (low; HR 2.037 (1.184–3.506), p = 0.010), lactate dehydrogenase (LDH) favoring ≤ULN (HR 1.853 (1.059–3.241), p = 0.031), absence of neurological symptoms (HR 2.114 (1.285–3.478), p = 0.003), RT concept favoring SRS (HR 1.985 (1.112–3.543), p = 0.019), RT dose favoring ≥60 Gy (HR 0.519 (0.309–0.871), p = 0.013), and prior anti-CTLA4 treatment (HR 0.498 (0.271–0.914), p = 0.024). …”
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  14. 87834
    “…We calculated an adjusted vaccine effectiveness (weighted stratified Cox model) in preventing symptomatic COVID-19 of 78·8% (95% CI 76·8–80·6) for a three-dose schedule with CoronaVac, 96·5% (96·2–96·7) for a BNT162b2 booster, and 93·2% (92·9–93·6) for an AZD1222 booster. …”
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  15. 87835
    “…PCR results were linked to participants using pseudo-identifiers based on individuals' unique UK National Health Service (NHS) numbers, which were also used to retrieve vaccination records from the National Immunisation Management Service, hospitalisation records from NHS England, and deaths data from the Office for National Statistics through the COVID-19 Datastore. In a Cox proportional hazards regression, we estimated vaccine effectiveness against SARS-CoV-2 infection, COVID-19-related hospitalisation, and COVID-19-related death after one, two, and three vaccine doses, separately by previous SARS-CoV-2 exposure. …”
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  16. 87836
    “…For each event outcome, crude incidence rates were calculated and hazard ratios (HRs) estimated using Cox regression models. FINDINGS: We identified 40 776 patients hospitalised with SARS-CoV-2 infection during the study period, with a mean follow-up of 41·3 days (total 925 713 person-days). …”
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  17. 87837
    “…Fatores de proteção contra infecção pelo SARS-CoV-2 foram avaliados com modelos de regressão de Cox. Os participantes assinaram um TCLE antes de ingressarem no estudo e o projeto foi aprovado no CEP do HC-FMUSP. …”
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  18. 87838
  19. 87839
    “…The Student’s T-test was used for continuous variables, and the Chi-square test was used for categorical variables. Cox regression was used to estimate crude and adjusted hazard ratios (HRs and aHRs, respectively). …”
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  20. 87840
    “…The effectiveness of one, two, and three doses of vaccination was estimated with a Cox proportional hazards regression model with time-dependent covariates, allowing for changes in vaccination status over time, after adjustment for demographic factors and pre-existing medical conditions. …”
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