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Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis
BACKGROUND: Although the prognostic significance of base excess (BE) in patients with paraquat (PQ) poisoning has been investigated for several years, the results remain controversial. Thus, we performed for the first time a comprehensive meta-analysis to explore the value of BE in predicting the pr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571390/ https://www.ncbi.nlm.nih.gov/pubmed/31169729 http://dx.doi.org/10.1097/MD.0000000000015973 |
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author | Zhang, Feng Wei Gao, Jie Zhang, Su Li Wu, Cheng Pu Li, Yong Bai, Wen Jing Feng, Shun Yi |
author_facet | Zhang, Feng Wei Gao, Jie Zhang, Su Li Wu, Cheng Pu Li, Yong Bai, Wen Jing Feng, Shun Yi |
author_sort | Zhang, Feng Wei |
collection | PubMed |
description | BACKGROUND: Although the prognostic significance of base excess (BE) in patients with paraquat (PQ) poisoning has been investigated for several years, the results remain controversial. Thus, we performed for the first time a comprehensive meta-analysis to explore the value of BE in predicting the prognosis of patients with PQ poisoning. METHODS: We searched PubMed, EMBase, Web of Science, ScienceDirect, Cochrane Library, and the Chinese National Knowledge Infrastructure to identify all relevant papers that were published up to August 2018. The data were extracted for pooled analysis, heterogeneity testing, sensitivity analysis, publication bias analysis, and subgroup analysis. RESULTS: Pooled analysis revealed that a decreased BE is correlated with poor mortality (pooled OR = 21.358, 95% CI: 12.716–35.873, P < .001). Pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 78% (95% CI: 0.66–0.86), 88% (95% CI: 0.66–0.97), 6.6 (95% CI: 2.2–19.9), 0.25 (95% CI: 0.18–0.36), and 26 (10–69), respectively. No publication bias was detected by Egger test (P = .263) and Begg test (P = .462). Sensitivity analyses indicated no important differences among the estimates of effects. CONCLUSION: Our findings show that BE is useful for predicting the prognosis of PQ poisoning. |
format | Online Article Text |
id | pubmed-6571390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-65713902019-07-22 Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis Zhang, Feng Wei Gao, Jie Zhang, Su Li Wu, Cheng Pu Li, Yong Bai, Wen Jing Feng, Shun Yi Medicine (Baltimore) Research Article BACKGROUND: Although the prognostic significance of base excess (BE) in patients with paraquat (PQ) poisoning has been investigated for several years, the results remain controversial. Thus, we performed for the first time a comprehensive meta-analysis to explore the value of BE in predicting the prognosis of patients with PQ poisoning. METHODS: We searched PubMed, EMBase, Web of Science, ScienceDirect, Cochrane Library, and the Chinese National Knowledge Infrastructure to identify all relevant papers that were published up to August 2018. The data were extracted for pooled analysis, heterogeneity testing, sensitivity analysis, publication bias analysis, and subgroup analysis. RESULTS: Pooled analysis revealed that a decreased BE is correlated with poor mortality (pooled OR = 21.358, 95% CI: 12.716–35.873, P < .001). Pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 78% (95% CI: 0.66–0.86), 88% (95% CI: 0.66–0.97), 6.6 (95% CI: 2.2–19.9), 0.25 (95% CI: 0.18–0.36), and 26 (10–69), respectively. No publication bias was detected by Egger test (P = .263) and Begg test (P = .462). Sensitivity analyses indicated no important differences among the estimates of effects. CONCLUSION: Our findings show that BE is useful for predicting the prognosis of PQ poisoning. Wolters Kluwer Health 2019-06-07 /pmc/articles/PMC6571390/ /pubmed/31169729 http://dx.doi.org/10.1097/MD.0000000000015973 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Research Article Zhang, Feng Wei Gao, Jie Zhang, Su Li Wu, Cheng Pu Li, Yong Bai, Wen Jing Feng, Shun Yi Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis |
title | Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis |
title_full | Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis |
title_fullStr | Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis |
title_full_unstemmed | Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis |
title_short | Base excess in predicting the prognosis of patients with paraquat poisoning: A meta-analysis |
title_sort | base excess in predicting the prognosis of patients with paraquat poisoning: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571390/ https://www.ncbi.nlm.nih.gov/pubmed/31169729 http://dx.doi.org/10.1097/MD.0000000000015973 |
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