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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2596

Title: Diagnostic algorithm in human trichinellosis - premise of avoiding complications and chronicity of the disease
Authors: NEMET, Codruta
DOBRESCU, Cristina
REPANOVICI, Angela
Keywords: systematic review, trichinellosis, scientific literature
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS
Issue Date: 11-Mar-2021
Publisher: Sciendo
Abstract: Aim of the study: a systematic review of the scientific literature that contains theoretical information about the infection with Trichinella species in humans. The research questions were formulated, the criteria for inclusion and exclusion of the revised studies and the search strategy were established, the studies were selected, the data were extracted and finally the analysis and interpretation of the results was performed, all with the aim to establish a diagnostic algorithm for patients with the suspected trichinellosis. From 312 existing studies, 300 that did not meet the inclusion criteria were excluded. The theoretical aspects studied refer to the clinical and laboratory criteria that validate the diagnosis of trichinellosis in humans and focus less on the elements of differential diagnosis, which would facilitate early diagnosis and allow the establishment of specific antiparasitic treatment removing the spectrum of complications or progression to chronicity of the disease.
URI: http://hdl.handle.net/123456789/2596
ISBN: 978-83-958150-6-5
Appears in Collections:Proceeding ICISIL

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