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      Central Nervous System Involvement in Trichinellosis: A Systematic Review

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          Abstract

          We reviewed the evidence on features of central nervous system (CNS) involvement in trichinellosis, systematically searching five databases (to January 2021). We categorized clinical features based on their diagnostic value as warning signs for severe CNS infection (with outcome death) or non-specific signs (outcome improvement). They were suggestive of severe infection if they substantially raised death probability. The review included 87 papers published from 1906 through 2019, with data on 168 patients. Mydriasis, paraparesis, dysphagia, psychomotor seizures, or delirium present a 30–45% increased death likelihood. The best poor prognosis predictor is mydriasis (positive likelihood ratio 9.08). Slow/absent light reflex, diminished/absent knee reflexes, globally decreased tendon reflexes present a moderate increase (20–25%) of death risk. Anisocoria, acalculia, or seizures could also indicate an increased death risk. We provided a detailed presentation of clinical and paraclinical signs that alert physicians of a possible neurotrichinellosis, emphasizing signs that might indicate a poor prognosis.

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          Most cited references108

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Methodological quality and synthesis of case series and case reports

            Case reports and case series are uncontrolled study designs known for increased risk of bias but have profoundly influenced the medical literature and continue to advance our knowledge. In this guide, we present a framework for appraisal, synthesis and application of evidence derived from case reports and case series. We propose a tool to evaluate the methodological quality of case reports and case series based on the domains of selection, ascertainment, causality and reporting and provide signalling questions to aid evidence-based practitioners and systematic reviewers in their assessment. We suggest using evidence derived from case reports and case series to inform decision-making when no other higher level of evidence is available.
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              Simplifying likelihood ratios.

              Likelihood ratios are one of the best measures of diagnostic accuracy, although they are seldom used, because interpreting them requires a calculator to convert back and forth between "probability" and "odds" of disease. This article describes a simpler method of interpreting likelihood ratios, one that avoids calculators, nomograms, and conversions to "odds" of disease. Several examples illustrate how the clinician can use this method to refine diagnostic decisions at the bedside.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Diagnostics (Basel)
                Diagnostics (Basel)
                diagnostics
                Diagnostics
                MDPI
                2075-4418
                25 May 2021
                June 2021
                : 11
                : 6
                : 945
                Affiliations
                [1 ]Victor Babes University of Medicine and Pharmacy Timisoara, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania; tudor.raluca@ 123456yahoo.com (R.T.); amalia.cornea@ 123456yahoo.com (A.C.); mihaelasimu6713@ 123456gmail.com (M.S.)
                [2 ]Department of Neurology, Clinical Emergency County Hospital Timisoara, Bd. Iosif Bulbuca No. 10, 300736 Timisoara, Romania
                [3 ]Neuroscience Research Center Timisoara, Clinical Emergency County Hospital Timisoara, Bd. Iosif Bulbuca No. 10, 300736 Timisoara, Romania
                Author notes
                [* ]Correspondence: roscacecilia@ 123456yahoo.com ; Tel.: +40-746173794
                Author information
                https://orcid.org/0000-0003-2412-1942
                https://orcid.org/0000-0002-1971-6901
                https://orcid.org/0000-0001-7293-3414
                https://orcid.org/0000-0001-9676-1282
                Article
                diagnostics-11-00945
                10.3390/diagnostics11060945
                8227095
                34070586
                f5b915b0-83cb-4889-ae4a-a97a000529ce
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 29 March 2021
                : 22 May 2021
                Categories
                Review

                trichinella,central nervous system,encephalitis,meningitis,systematic review

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