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Bidirectional association between depression and diabetic nephropathy by meta-analysis
BACKGROUND: Studies suggested that the association between depression and diabetic nephropathy may be bi-directional, but this hypothesis remains investigating. In this meta-analysis, the bi-directional relationship between depression and diabetic nephropathy was investigated. METHODS: A search for...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767359/ https://www.ncbi.nlm.nih.gov/pubmed/36538528 http://dx.doi.org/10.1371/journal.pone.0278489 |
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author | Fang, Tingting Zhang, Qiuling Wang, Zhiguo Liu, Jun-Ping |
author_facet | Fang, Tingting Zhang, Qiuling Wang, Zhiguo Liu, Jun-Ping |
author_sort | Fang, Tingting |
collection | PubMed |
description | BACKGROUND: Studies suggested that the association between depression and diabetic nephropathy may be bi-directional, but this hypothesis remains investigating. In this meta-analysis, the bi-directional relationship between depression and diabetic nephropathy was investigated. METHODS: A search for the publications on depression and diabetic nephropathy in the databases of PubMed, Web of science, and Embase from the earliest available to August 2022 was conducted. Two sets of pooled risk estimates were calculated using random effects models: diabetic nephropathy predicting depression and depression predicting diabetic nephropathy. Cross-sectional studies were assessed using Agency for Healthcare Research and Quality (AHRQ), cohort and case-control studies were assessed using Newcastle-Ottawa Scale (NOS). RESULT: Of the 974,121 patients in 30 clinical studies, 24 studies met eligibility for diabetic nephropathy predicting onset of depression, representing 28,438 incident cases. The other 6 studies met criteria for depression predicting onset of diabetic nephropathy, representing 945,683 incident cases. The pooled odds ratio (OR) of diabetic nephropathy predicting depression was 1.46 (95% CI 1.27–1.67). The OR of depression predicting diabetic nephropathy was 1.22 (95% CI 1.13–1.31). CONCLUSION: This meta-analysis shows that the relationship between depression and diabetic nephropathy may be bidirectional. Diabetic nephropathy may be a predictor of depression, and depression may also be an indicator of diabetic nephropathy. The mechanisms underlying the bidirectional relationship need to be further investigated and interventions of the comorbidity of depression and diabetic nephropathy need be studied in clinical practice. |
format | Online Article Text |
id | pubmed-9767359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97673592022-12-21 Bidirectional association between depression and diabetic nephropathy by meta-analysis Fang, Tingting Zhang, Qiuling Wang, Zhiguo Liu, Jun-Ping PLoS One Research Article BACKGROUND: Studies suggested that the association between depression and diabetic nephropathy may be bi-directional, but this hypothesis remains investigating. In this meta-analysis, the bi-directional relationship between depression and diabetic nephropathy was investigated. METHODS: A search for the publications on depression and diabetic nephropathy in the databases of PubMed, Web of science, and Embase from the earliest available to August 2022 was conducted. Two sets of pooled risk estimates were calculated using random effects models: diabetic nephropathy predicting depression and depression predicting diabetic nephropathy. Cross-sectional studies were assessed using Agency for Healthcare Research and Quality (AHRQ), cohort and case-control studies were assessed using Newcastle-Ottawa Scale (NOS). RESULT: Of the 974,121 patients in 30 clinical studies, 24 studies met eligibility for diabetic nephropathy predicting onset of depression, representing 28,438 incident cases. The other 6 studies met criteria for depression predicting onset of diabetic nephropathy, representing 945,683 incident cases. The pooled odds ratio (OR) of diabetic nephropathy predicting depression was 1.46 (95% CI 1.27–1.67). The OR of depression predicting diabetic nephropathy was 1.22 (95% CI 1.13–1.31). CONCLUSION: This meta-analysis shows that the relationship between depression and diabetic nephropathy may be bidirectional. Diabetic nephropathy may be a predictor of depression, and depression may also be an indicator of diabetic nephropathy. The mechanisms underlying the bidirectional relationship need to be further investigated and interventions of the comorbidity of depression and diabetic nephropathy need be studied in clinical practice. Public Library of Science 2022-12-20 /pmc/articles/PMC9767359/ /pubmed/36538528 http://dx.doi.org/10.1371/journal.pone.0278489 Text en © 2022 Fang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Fang, Tingting Zhang, Qiuling Wang, Zhiguo Liu, Jun-Ping Bidirectional association between depression and diabetic nephropathy by meta-analysis |
title | Bidirectional association between depression and diabetic nephropathy by meta-analysis |
title_full | Bidirectional association between depression and diabetic nephropathy by meta-analysis |
title_fullStr | Bidirectional association between depression and diabetic nephropathy by meta-analysis |
title_full_unstemmed | Bidirectional association between depression and diabetic nephropathy by meta-analysis |
title_short | Bidirectional association between depression and diabetic nephropathy by meta-analysis |
title_sort | bidirectional association between depression and diabetic nephropathy by meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767359/ https://www.ncbi.nlm.nih.gov/pubmed/36538528 http://dx.doi.org/10.1371/journal.pone.0278489 |
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