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au:LIMA, JOAO PAULO DA SILVEIRA NOGUEIRA
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Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol
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Ferreira, Juliana C.
; Ho, Yeh-Li
; Besen, Bruno A.M.P.
; Malbuisson, Luiz M.S.
; Taniguchi, Leandro U.
; Mendes, Pedro V.
; Costa, Eduardo L.V.
; Park, Marcelo
; Daltro-Oliveira, Renato
; Roepke, Roberta M.L.
; Silva Jr, João M.
; Carmona, Maria José C.
; Carvalho, Carlos Roberto Ribeiro
; Hirota, Adriana
; Kanasiro, Alberto Kendy
; Crescenzi, Alessandra
; Fernandes, Amanda Coelho
; Miethke-Morais, Anna
; Bellintani, Arthur Petrillo
; Canasiro, Artur Ribeiro
; Carneiro, Bárbara Vieira
; Zanbon, Beatriz Keiko
; Batista, Bernardo Pinheiro De Senna Nogueira
; Nicolao, Bianca Ruiz
; Besen, Bruno Adler Maccagnan Pinheiro
; Biselli, Bruno
; Macedo, Bruno Rocha De
; Toledo, Caio Machado Gomes De
; Pompilio, Carlos Eduardo
; Carvalho, Carlos Roberto Ribeiro De
; Mol, Caroline Gomes
; Stipanich, Cassio
; Bueno, Caue Gasparotto
; Garzillo, Cibele
; Tanaka, Clarice
; Forte, Daniel Neves
; Joelsons, Daniel
; Robira, Daniele
; Costa, Eduardo Leite Vieira
; Silva Júnior, Elson Mendes Da
; Regalio, Fabiane Aliotti
; Segura, Gabriela Cardoso
; Marcelino, Gustavo Brasil
; Louro, Giulia Sefrin
; Ho, Yeh-Li
; Ferreira, Isabela Argollo
; Gois, Jeison de Oliveira
; Silva Junior, Joao Manoel Da
; Reusing Junior, Jose Otto
; Ribeiro, Julia Fray
; Ferreira, Juliana Carvalho
; Galleti, Karine Vusberg
; Silva, Katia Regina
; Isensee, Larissa Padrao
; Oliveira, Larissa dos Santos
; Taniguchi, Leandro Utino
; Letaif, Leila Suemi
; Lima, Lígia Trombetta
; Park, Lucas Yongsoo
; Chaves Netto, Lucas
; Nobrega, Luciana Cassimiro
; Haddad, Luciana
; Hajjar, Ludhmila
; Malbouisson, Luiz Marcelo
; Pandolfi, Manuela Cristina Adsuara
; Park, Marcelo
; Carmona, Maria José Carvalho
; Andrade, Maria Castilho Prandini H De
; Santos, Mariana Moreira
; Bateloche, Matheus Pereira
; Suiama, Mayra Akimi
; Oliveira, Mayron Faria de
; Sousa, Mayson Laercio
; Louvaes, Michelle
; Huemer, Natassja
; Mendes, Pedro
; Lins, Paulo Ricardo Gessolo
; Santos, Pedro Gaspar Dos
; Moreira, Pedro Ferreira Paiva
; Guazzelli, Renata Mello
; Reis, Renato Batista Dos
; Oliveira, Renato Daltro De
; Roepke, Roberta Muriel Longo
; Pedro, Rodolpho Augusto De Moura
; Kondo, Rodrigo
; Rached, Samia Zahi
; Fonseca, Sergio Roberto Silveira Da
; Borges, Thais Sousa
; Ferreira, Thalissa
; Cobello Junior, Vilson
; Sales, Vivian Vieira Tenório
; Ferreira, Willaby Serafim Cassa
.
OBJECTIVES: We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS: This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital’s electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS: We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS: This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.
https://doi.org/10.6061/clinics/2020/e2294
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Articles with short titles describing the results are cited more often
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OBJECTIVE: The aim of this study was to evaluate some features of article titles from open access journals and to assess the possible impact of these titles on predicting the number of article views and citations. METHODS: Research articles (n = 423, published in October 2008) from all Public Library of Science (PLoS) journals and from 12 Biomed Central (BMC) journals were evaluated. Publication metrics (views and citations) were analyzed in December 2011. The titles were classified according to their contents, namely methods-describing titles and results-describing titles. The number of title characters, title typology, the use of a question mark, reference to a specific geographical region, and the use of a colon or a hyphen separating different ideas within a sentence were analyzed to identify predictors of views and citations. A logistic regression model was used to identify independent title characteristics that could predict citation rates. RESULTS: Short-titled articles had higher viewing and citation rates than those with longer titles. Titles containing a question mark, containing a reference to a specific geographical region, and that used a colon or a hyphen were associated with a lower number of citations. Articles with results-describing titles were cited more often than those with methods-describing titles. After multivariate analysis, only a low number of characters and title typology remained as predictors of the number of citations. CONCLUSIONS: Some features of article titles can help predict the number of article views and citation counts. Short titles presenting results or conclusions were independently associated with higher citation counts. The findings presented here could be used by authors, reviewers, and editors to maximize the impact of articles in the scientific community.
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