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Maicon Falavigna

Researcher at Universidade Federal do Rio Grande do Sul

Publications -  108
Citations -  6354

Maicon Falavigna is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Medicine & Randomized controlled trial. The author has an hindex of 27, co-authored 89 publications receiving 4227 citations. Previous affiliations of Maicon Falavigna include McMaster University & Pontifícia Universidade Católica do Rio Grande do Sul.

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37th International Symposium on Intensive Care and Emergency Medicine (part 2 of 3)

D. Rob, +865 more
- 21 Mar 2017 - 
TL;DR: McCartney et al. as discussed by the authors evaluated the impact of this intervention on unit activity, outcomes, and quality metrics, and found that regular critical care input into MHDU was associated with a decrease in OOHDC rate and an increase in days spent at level 2 dependency or higher.
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Meta‐analysis of prevalence: I2 statistic and how to deal with heterogeneity

TL;DR: This paper found that the median I2 was 96.9% (IQR 90.5-98.7%) in a sample of 134 meta-analyses of prevalence, with higher number of studies and extreme pooled estimates (defined as <10% or ≥90%).
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Absence of detection of RSV and influenza during the COVID-19 pandemic in a Brazilian cohort: Likely role of lower transmission in the community.

TL;DR: In this paper, the authors reported the detection of RSV and influenza during the period of social distancing due to COVID-19 pandemic in a heavily affected community, and suggested preventive social measures aimed at preventing SARS-CoV-2 spread could impact transmission of other respiratory viruses as well.
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GRADE Guidelines 30: the GRADE approach to assessing the certainty of modeled evidence-An overview in the context of health decision-making.

TL;DR: This conceptual GRADE approach provides a framework for using evidence from models in health decision making and the assessment of certainty of evidence from a model or models and presents a summary of preferred terminology to facilitate communication among modelling and health care disciplines.
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Effects of post-ICU follow-up on subject outcomes: A systematic review and meta-analysis.

TL;DR: Post-ICU follow-up may improve depression symptoms and mental health-related quality of life in the short term for models focusing on physical therapy and PTSD symptoms in the medium term for Models focusing on psychological or medical management interventions.