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The B. safensis RGM 2450 and B. siamensis RGM 2529 strains were isolated from the rhizosphere of plants presenting resilience to abiotic and biotic stress conditions. To understand the implications of bacteria in resilience, a genomic and experimental analysis was carried out on their ...

Introduction

Consensus criteria for pediatric severe sepsis have standardized enrollment for research studies. However, the extent to which critically ill children identified by consensus criteria reflect physician diagnosis of severe sepsis, which underlies external validity for pediatric s...
Several platforms for noninvasive EGFR testing are currently used in the clinical setting with sensitivities ranging from 30% to 100%. Prospective studies evaluating agreement and sources for discordant results remain lacking. Herein, seven methodologies including two next-generation sequencing (NGS...
This study aimed to assess the impact of SARS-CoV-2 therapies on the risk of venous thromboembolism (VTE) and other cardiovascular events. A retrospective, multicenter, observational study included hospitalized patients in Spain due to acute SARS-CoV-2 infection from March 2020 to March 2022. A tota...

Objectives

We aimed to develop and validate a prediction model, based on clinical history and examination findings on initial diagnosis of coronavirus disease 2019 (COVID-19), to identify patients at risk of critical outcomes.

Methods

We used data from the SEMI-COVID-19 Registry, a co...

Objective

To compare the effects of treatments for coronavirus disease 2019 (covid-19).

Design

Living systematic review and network meta-analysis.

Data sources

WHO covid-19 database, a comprehensive multilingual source of global covid-19 literature, up to 3 December 2021 and si...
The significant impact of COVID-19 worldwide has made it necessary to develop tools to identify patients at high risk of severe disease and death. This work aims to validate the RIM Score-COVID in the SEMI-COVID-19 Registry. The RIM Score-COVID is a simple nomogram with high predictive capacity for ...
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