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Gerson Alves Pereira Júnior

Researcher at University of São Paulo

Publications -  67
Citations -  2008

Gerson Alves Pereira Júnior is an academic researcher from University of São Paulo. The author has contributed to research in topics: Nursing care & Poison control. The author has an hindex of 17, co-authored 65 publications receiving 1561 citations. Previous affiliations of Gerson Alves Pereira Júnior include Universidade de Ribeirão Preto.

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The management of intra-abdominal infections from a global perspective: 2017 WSES guidelines for management of intra-abdominal infections

Massimo Sartelli, +71 more
TL;DR: The aim of this paper is to promote global standards of care in IAIs and update the 2013 WSES guidelines for management of intra-abdominal infections.
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2013 WSES guidelines for management of intra-abdominal infections

Massimo Sartelli, +54 more
TL;DR: The 2013 update of the World Society of Emergency Surgery (WSES) guidelines for the management of intra-abdominal infections contains evidence-based recommendations for management of patients with intra-ABdominal infection as discussed by the authors.
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Prospective Observational Study on acute Appendicitis Worldwide (POSAW).

Massimo Sartelli, +147 more
TL;DR: The results of the present study confirm the clinical value of imaging techniques and prognostic scores and confirm that appendectomy remains the most effective treatment of acute appendicitis.
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WSES Guidelines for the management of acute left sided colonic diverticulitis in the emergency setting

Massimo Sartelli, +54 more
TL;DR: The executive summary of the final guidelines approved by the consensus conference for the management of acute left sided colonic diverticulitis in the emergency setting are presented.
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Global validation of the WSES Sepsis Severity Score for patients with complicated intra-abdominal infections: a prospective multicentre study (WISS Study)

Massimo Sartelli, +142 more
TL;DR: WSES Sepsis Severity Score for patients with complicated Intra-abdominal infections can be used on global level and has shown high sensitivity, specificity, and likelihood ratio that may help in making clinical decisions.