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Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies
Diabetes is a major cause of morbidity for patients undergoing surgery and can increase the incidence of some postoperative complications such as bedsores. We conducted a meta-analysis of observational studies to examine whether patients with diabetes undergoing surgery had high risk of bedsore. We...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362422/ https://www.ncbi.nlm.nih.gov/pubmed/28036285 http://dx.doi.org/10.18632/oncotarget.14312 |
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author | Liang, Mining Chen, Qiongni Zhang, Yang He, Li Wang, Jianjian Cai, Yiwen Li, Lezhi |
author_facet | Liang, Mining Chen, Qiongni Zhang, Yang He, Li Wang, Jianjian Cai, Yiwen Li, Lezhi |
author_sort | Liang, Mining |
collection | PubMed |
description | Diabetes is a major cause of morbidity for patients undergoing surgery and can increase the incidence of some postoperative complications such as bedsores. We conducted a meta-analysis of observational studies to examine whether patients with diabetes undergoing surgery had high risk of bedsore. We performed a systematic literature search in Pubmed, Embase and the Cochrane Library Central Register of Controlled Trials database from inception to November 2016. Studies were selected if they reported estimates of the relative risk (RR) for bedsore risk in postoperative diabetic patients compared with that of in non-diabetic patients. Random-effects meta-analysis was conducted to pool the estimates. A total of 16 studies with 24,112 individuals were included in our meta-analysis. The pooled RR of bedsore development for patients with diatetes was 1.77 (95% CI 1.45 to 2.16). The results of subgroup analyses were consistent when stratified by surgery type, study design, research region, sample size, inclusion period, analysis method and study quality. There was evidence of publication bias among studies and a sensitivity analysis using the Duval and Tweedie “trim-and-fill” method did not significantly alter the pooled results (adjusted RR 1.17, 95% CI 1.02 to 1.36).This meta-analysis provides indications that diabetic patients undergoing surgery could have a higher risk of developing bedsores. Further large-scale prospective trials should be implemented to comfirm the association. |
format | Online Article Text |
id | pubmed-5362422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53624222017-04-24 Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies Liang, Mining Chen, Qiongni Zhang, Yang He, Li Wang, Jianjian Cai, Yiwen Li, Lezhi Oncotarget Research Paper Diabetes is a major cause of morbidity for patients undergoing surgery and can increase the incidence of some postoperative complications such as bedsores. We conducted a meta-analysis of observational studies to examine whether patients with diabetes undergoing surgery had high risk of bedsore. We performed a systematic literature search in Pubmed, Embase and the Cochrane Library Central Register of Controlled Trials database from inception to November 2016. Studies were selected if they reported estimates of the relative risk (RR) for bedsore risk in postoperative diabetic patients compared with that of in non-diabetic patients. Random-effects meta-analysis was conducted to pool the estimates. A total of 16 studies with 24,112 individuals were included in our meta-analysis. The pooled RR of bedsore development for patients with diatetes was 1.77 (95% CI 1.45 to 2.16). The results of subgroup analyses were consistent when stratified by surgery type, study design, research region, sample size, inclusion period, analysis method and study quality. There was evidence of publication bias among studies and a sensitivity analysis using the Duval and Tweedie “trim-and-fill” method did not significantly alter the pooled results (adjusted RR 1.17, 95% CI 1.02 to 1.36).This meta-analysis provides indications that diabetic patients undergoing surgery could have a higher risk of developing bedsores. Further large-scale prospective trials should be implemented to comfirm the association. Impact Journals LLC 2016-12-27 /pmc/articles/PMC5362422/ /pubmed/28036285 http://dx.doi.org/10.18632/oncotarget.14312 Text en Copyright: © 2017 Liang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liang, Mining Chen, Qiongni Zhang, Yang He, Li Wang, Jianjian Cai, Yiwen Li, Lezhi Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
title | Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
title_full | Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
title_fullStr | Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
title_full_unstemmed | Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
title_short | Impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
title_sort | impact of diabetes on the risk of bedsore in patients undergoing surgery: an updated quantitative analysis of cohort studies |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362422/ https://www.ncbi.nlm.nih.gov/pubmed/28036285 http://dx.doi.org/10.18632/oncotarget.14312 |
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