Bidirectional association between depression and diabetic nephropathy by meta-analysis
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. A search for the publications on d...
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description | 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.
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).
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).
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. |
doi_str_mv | 10.1371/journal.pone.0278489 |
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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).
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).
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0278489</identifier><identifier>PMID: 36538528</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Cohort analysis ; Comorbidity ; Confidence intervals ; Cross-Sectional Studies ; Depression - complications ; Depression, Mental ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Diabetic nephropathies ; Diabetic Nephropathies - complications ; Diabetic Nephropathies - epidemiology ; Diabetic nephropathy ; Diagnosis ; Health risks ; Humans ; Kidney diseases ; Medicine and Health Sciences ; Mental depression ; Mental disorders ; Meta-analysis ; Nephropathy ; Odds Ratio ; Physical Sciences ; Psychological aspects ; Ratios ; Research and Analysis Methods ; Risk factors</subject><ispartof>PloS one, 2022-12, Vol.17 (12), p.e0278489-e0278489</ispartof><rights>Copyright: © 2022 Fang et al. 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.</rights><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Fang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Fang et al 2022 Fang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-68a621e92178382ed94d9c85e1768d8f10152f66e6c826d8383aa8fb0680aa793</citedby><cites>FETCH-LOGICAL-c692t-68a621e92178382ed94d9c85e1768d8f10152f66e6c826d8383aa8fb0680aa793</cites><orcidid>0000-0002-6871-2923</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767359/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767359/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36538528$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fang, Tingting</creatorcontrib><creatorcontrib>Zhang, Qiuling</creatorcontrib><creatorcontrib>Wang, Zhiguo</creatorcontrib><creatorcontrib>Liu, Jun-Ping</creatorcontrib><title>Bidirectional association between depression and diabetic nephropathy by meta-analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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).
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).
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.</description><subject>Cohort analysis</subject><subject>Comorbidity</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Depression - complications</subject><subject>Depression, Mental</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetic nephropathies</subject><subject>Diabetic Nephropathies - complications</subject><subject>Diabetic Nephropathies - epidemiology</subject><subject>Diabetic nephropathy</subject><subject>Diagnosis</subject><subject>Health risks</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Meta-analysis</subject><subject>Nephropathy</subject><subject>Odds Ratio</subject><subject>Physical Sciences</subject><subject>Psychological aspects</subject><subject>Ratios</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl2L1DAUhoso7rr6D0QLguhFxyZp0-RGWBc_BhYW_NjbcCY5ncnQabpJq86_N3W6y1T2QnrR9OR53_PRkyTPSb4grCLvtm7wLTSLzrW4yGklCiEfJKdEMppxmrOHR-eT5EkI2zwvmeD8cXLCeDyVVJwm1x-ssR51b100SyEEpy2MX-kK-1-IbWqw8xjCGILWpMZCvLE6bbHbeNdBv9mnq326wx4yiCb7YMPT5FENTcBn0_ss-fHp4_eLL9nl1eflxfllprmkfcYFcEpQUlIJJigaWRipRYmk4sKImuSkpDXnyLWg3ESGAYh6lXORA1SSnSUvD75d44KaRhIUrUqeS04Ii8TyQBgHW9V5uwO_Vw6s-htwfq3Ax3YaVHxVGtAkChktxgRAjWRQkloWFa-K6PV-yjasdmg0tr2HZmY6v2ntRq3dTyWjnJVjuW8mA-9uBgy92tmgsWmgRTcc6iZEynKs-9U_6P3dTdQaYgO2rV3Mq0dTdV6xvKKFlDRSi3uo-BjcWR33p7YxPhO8nQki0-Pvfg1DCGr57ev_s1fXc_b1EbtBaPpNcM0w7luYg8UB1N6F4LG-GzLJ1bj-t9NQ4_qraf2j7MXxD7oT3e47-wPKYv87</recordid><startdate>20221220</startdate><enddate>20221220</enddate><creator>Fang, Tingting</creator><creator>Zhang, Qiuling</creator><creator>Wang, Zhiguo</creator><creator>Liu, Jun-Ping</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6871-2923</orcidid></search><sort><creationdate>20221220</creationdate><title>Bidirectional association between depression and diabetic nephropathy by meta-analysis</title><author>Fang, Tingting ; Zhang, Qiuling ; Wang, Zhiguo ; Liu, Jun-Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-68a621e92178382ed94d9c85e1768d8f10152f66e6c826d8383aa8fb0680aa793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cohort analysis</topic><topic>Comorbidity</topic><topic>Confidence intervals</topic><topic>Cross-Sectional Studies</topic><topic>Depression - complications</topic><topic>Depression, Mental</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetic nephropathies</topic><topic>Diabetic Nephropathies - complications</topic><topic>Diabetic Nephropathies - epidemiology</topic><topic>Diabetic nephropathy</topic><topic>Diagnosis</topic><topic>Health risks</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Meta-analysis</topic><topic>Nephropathy</topic><topic>Odds Ratio</topic><topic>Physical Sciences</topic><topic>Psychological aspects</topic><topic>Ratios</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Tingting</creatorcontrib><creatorcontrib>Zhang, Qiuling</creatorcontrib><creatorcontrib>Wang, Zhiguo</creatorcontrib><creatorcontrib>Liu, Jun-Ping</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Tingting</au><au>Zhang, Qiuling</au><au>Wang, Zhiguo</au><au>Liu, Jun-Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bidirectional association between depression and diabetic nephropathy by meta-analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-12-20</date><risdate>2022</risdate><volume>17</volume><issue>12</issue><spage>e0278489</spage><epage>e0278489</epage><pages>e0278489-e0278489</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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).
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).
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36538528</pmid><doi>10.1371/journal.pone.0278489</doi><tpages>e0278489</tpages><orcidid>https://orcid.org/0000-0002-6871-2923</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Cohort analysis Comorbidity Confidence intervals Cross-Sectional Studies Depression - complications Depression, Mental Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Diabetic nephropathies Diabetic Nephropathies - complications Diabetic Nephropathies - epidemiology Diabetic nephropathy Diagnosis Health risks Humans Kidney diseases Medicine and Health Sciences Mental depression Mental disorders Meta-analysis Nephropathy Odds Ratio Physical Sciences Psychological aspects Ratios Research and Analysis Methods Risk factors |
title | Bidirectional association between depression and diabetic nephropathy by meta-analysis |
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