2022
DOI: 10.1038/s41598-022-21980-0
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The impact of esophageal device insertion on cuff pressure of endotracheal tube: a literature review and meta-analysis

Abstract: The impact of intraoperative esophageal device insertion (EDI) on endotracheal tube (ET) cuff inflation pressure remains unclear. Electronic databases including Medline, Embase, Google scholar, Web of Science™ and Cochrane Central Register of Controlled Trials were searched for studies involving EDI after placement of ETs from inception to July 7, 2022. The primary outcome was risk of high cuff pressure, while the secondary outcomes were increases in cuff pressure following EDI. Difference between adults and c… Show more

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Cited by 8 publications
(5 citation statements)
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“…By conducting these analyses, we aimed to assess the robustness of our findings, ensuring that our conclusions are not disproportionately driven by any particular study included in the meta-analysis. To assess the association between covariates (e.g., sample size, male proportion, and follow-up time) and effect sizes as previously reported [23,24], meta-regression was conducted. These particular covariates were chosen as they frequently exhibit significant variation across studies.…”
Section: Discussionmentioning
confidence: 99%
“…By conducting these analyses, we aimed to assess the robustness of our findings, ensuring that our conclusions are not disproportionately driven by any particular study included in the meta-analysis. To assess the association between covariates (e.g., sample size, male proportion, and follow-up time) and effect sizes as previously reported [23,24], meta-regression was conducted. These particular covariates were chosen as they frequently exhibit significant variation across studies.…”
Section: Discussionmentioning
confidence: 99%
“…The overall effect size was computed with the reported raw data of event counts for primary analysis. Considering the inclusion of observational studies in this study, a random-effects model was adopted to generate an overall OR to serve as the main summary measure of effect size as previously reported ( 32 , 33 ). Statistical heterogeneity of effect size was assessed with I 2 statistics in which substantial heterogeneity was defined as an I 2 > 50% ( 34 ).…”
Section: Methodsmentioning
confidence: 99%
“…Taking into account the heterogeneity in patient population and study design, all analyses were conducted based on the Mantel–Haenszel random-effects model. Meta-regression analysis was used to explore the source of heterogeneity as previously reported 29 , 30 . The likeliness of publication bias was assessed by funnel plots for outcomes reported in 10 or more studies.…”
Section: Methodsmentioning
confidence: 99%