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Sweat conductivity diagnostic accuracy for cystic fibrosis: a systematic review and meta-analysis.

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Title: Sweat conductivity diagnostic accuracy for cystic fibrosis: a systematic review and meta-analysis.
Authors: Zhang L; Pediatric Pulmonology Unit, Postgraduate Programs in Public Health and in Health Sciences, Faculty of Medicine, Federal University of Rio Grande, Rio Grande, Brazil., Nomiyama S; Pediatric Pulmonology Unit, Postgraduate Programs in Public Health and in Health Sciences, Faculty of Medicine, Federal University of Rio Grande, Rio Grande, Brazil., Bedran RM; Department of Paediatrics, Medical School, and Cystic Fibrosis Clinic, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil., Alvim CG; Department of Paediatrics, Medical School, and Cystic Fibrosis Clinic, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil., Ribeiro JD; Department of Paediatrics, Medical Sciences School, and Cystic Fibrosis Clinic, University Hospital, State University of Campinas, Campinas, Brazil., Camargos P; Department of Paediatrics, Medical School, and Cystic Fibrosis Clinic, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil pcamargs@medicina.ufmg.br.
Source: Archives of disease in childhood [Arch Dis Child] 2023 Nov; Vol. 108 (11), pp. 904-909. Date of Electronic Publication: 2023 Jul 14.
Publication Type: Meta-Analysis; Systematic Review; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BMJ Pub. Group [etc.] Country of Publication: England NLM ID: 0372434 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-2044 (Electronic) Linking ISSN: 00039888 NLM ISO Abbreviation: Arch Dis Child Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Sweat conductivity diagnostic accuracy for cystic fibrosis: a systematic review and meta-analysis.
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  Data: <searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Pediatric Pulmonology Unit, Postgraduate Programs in Public Health and in Health Sciences, Faculty of Medicine, Federal University of Rio Grande, Rio Grande, Brazil.<br /><searchLink fieldCode="AU" term="%22Nomiyama+S%22">Nomiyama S</searchLink>; Pediatric Pulmonology Unit, Postgraduate Programs in Public Health and in Health Sciences, Faculty of Medicine, Federal University of Rio Grande, Rio Grande, Brazil.<br /><searchLink fieldCode="AU" term="%22Bedran+RM%22">Bedran RM</searchLink>; Department of Paediatrics, Medical School, and Cystic Fibrosis Clinic, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Alvim+CG%22">Alvim CG</searchLink>; Department of Paediatrics, Medical School, and Cystic Fibrosis Clinic, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Ribeiro+JD%22">Ribeiro JD</searchLink>; Department of Paediatrics, Medical Sciences School, and Cystic Fibrosis Clinic, University Hospital, State University of Campinas, Campinas, Brazil.<br /><searchLink fieldCode="AU" term="%22Camargos+P%22">Camargos P</searchLink>; Department of Paediatrics, Medical School, and Cystic Fibrosis Clinic, University Hospital, Federal University of Minas Gerais, Belo Horizonte, Brazil pcamargs@medicina.ufmg.br.
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  Data: <searchLink fieldCode="JN" term="%220372434%22">Archives of disease in childhood</searchLink> [Arch Dis Child] 2023 Nov; Vol. 108 (11), pp. 904-909. <i>Date of Electronic Publication: </i>2023 Jul 14.
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  Data: Meta-Analysis; Systematic Review; Journal Article; Research Support, Non-U.S. Gov't
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        Value: 10.1136/archdischild-2023-325629
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      – Code: eng
        Text: English
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      – TitleFull: Sweat conductivity diagnostic accuracy for cystic fibrosis: a systematic review and meta-analysis.
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            NameFull: Zhang L
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            NameFull: Nomiyama S
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              Text: 2023 Nov
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              Y: 2023
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              Value: 108
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