Treatment of diabetic kidney disease. A network meta-analysis.
<h4>Background</h4>Diabetic kidney disease (DKD) is a health burden of rising importance. Slowing progression to end stage kidney disease is the main goal of drug treatment. The aim of this analysis is to compare drug treatments of DKD by means of a systemic review and a network meta-ana...
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Public Library of Science (PLoS)
2023-01-01
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| author | Fabian Büttner Clara Vollmer Barbosa Hannah Lang Zhejia Tian Anette Melk Bernhard M W Schmidt |
| author_facet | Fabian Büttner Clara Vollmer Barbosa Hannah Lang Zhejia Tian Anette Melk Bernhard M W Schmidt |
| author_sort | Fabian Büttner |
| collection | DOAJ |
| description | <h4>Background</h4>Diabetic kidney disease (DKD) is a health burden of rising importance. Slowing progression to end stage kidney disease is the main goal of drug treatment. The aim of this analysis is to compare drug treatments of DKD by means of a systemic review and a network meta-analysis.<h4>Methods</h4>We searched Medline, CENTRAL and clinicaltrials.gov for randomized, controlled studies including adults with DKD treated with the following drugs of interest: single angiotensin-converting-enzyme-inhibitor or angiotensin-receptor-blocker (single ACEi/ARB), angiotensin-converting-enzyme-inhibitor and angiotensin-receptor-blocker combination (ACEi+ARB combination), aldosterone antagonists, direct renin inhibitors, non-steroidal mineralocorticoid-receptor-antagonists (nsMRA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i). As primary endpoints, we defined: overall mortality and end-stage kidney disease, as secondary endpoints: renal composite outcome and albuminuria and as safety endpoints: acute kidney injury, hyperkalemia and hypotension. Under the use of a random effects model, we computed the overall effect estimates using the statistic program R4.1 and the corresponding package "netmeta". Risk of bias was assessed using the RoB 2 tool and the quality of evidence of each pairwise comparison was rated according to GRADE (Grading of Recommendations Assessment, Development and Evaluation).<h4>Results</h4>Of initial 3489 publications, 38 clinical trials were found eligible, in total including 42346 patients. Concerning the primary endpoints overall mortality and end stage kidney disease, SGLT2i on top of single ACEi/ARB compared to single ACEi/ARB was the only intervention significantly reducing the odds of mortality (OR 0.81, 95%CI 0.70-0.95) and end-stage kidney disease (OR 0.69, 95%CI 0.54-0.88). The indirect comparison of nsMRA vs SGLT2i in our composite endpoint suggests a superiority of SGLT2i (OR 0.60, 95%CI 0.47-0.76). Concerning safety endpoints, nsMRA and SGLT2i showed benefits compared to the others.<h4>Conclusions</h4>As the only drug class, SGLT2i showed in our analysis beneficial effects on top of ACEi/ARB treatment regarding mortality and end stage kidney disease and by that reconfirmed its position as treatment option for diabetic kidney disease. nsMRA reduced the odds for a combined renal endpoint and did not raise any safety concerns, justifying its application. |
| format | Article |
| id | doaj-art-e64517ddece14b638082a771da7ab545 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
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| spelling | doaj-art-e64517ddece14b638082a771da7ab5452025-08-20T02:20:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011811e029318310.1371/journal.pone.0293183Treatment of diabetic kidney disease. A network meta-analysis.Fabian BüttnerClara Vollmer BarbosaHannah LangZhejia TianAnette MelkBernhard M W Schmidt<h4>Background</h4>Diabetic kidney disease (DKD) is a health burden of rising importance. Slowing progression to end stage kidney disease is the main goal of drug treatment. The aim of this analysis is to compare drug treatments of DKD by means of a systemic review and a network meta-analysis.<h4>Methods</h4>We searched Medline, CENTRAL and clinicaltrials.gov for randomized, controlled studies including adults with DKD treated with the following drugs of interest: single angiotensin-converting-enzyme-inhibitor or angiotensin-receptor-blocker (single ACEi/ARB), angiotensin-converting-enzyme-inhibitor and angiotensin-receptor-blocker combination (ACEi+ARB combination), aldosterone antagonists, direct renin inhibitors, non-steroidal mineralocorticoid-receptor-antagonists (nsMRA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i). As primary endpoints, we defined: overall mortality and end-stage kidney disease, as secondary endpoints: renal composite outcome and albuminuria and as safety endpoints: acute kidney injury, hyperkalemia and hypotension. Under the use of a random effects model, we computed the overall effect estimates using the statistic program R4.1 and the corresponding package "netmeta". Risk of bias was assessed using the RoB 2 tool and the quality of evidence of each pairwise comparison was rated according to GRADE (Grading of Recommendations Assessment, Development and Evaluation).<h4>Results</h4>Of initial 3489 publications, 38 clinical trials were found eligible, in total including 42346 patients. Concerning the primary endpoints overall mortality and end stage kidney disease, SGLT2i on top of single ACEi/ARB compared to single ACEi/ARB was the only intervention significantly reducing the odds of mortality (OR 0.81, 95%CI 0.70-0.95) and end-stage kidney disease (OR 0.69, 95%CI 0.54-0.88). The indirect comparison of nsMRA vs SGLT2i in our composite endpoint suggests a superiority of SGLT2i (OR 0.60, 95%CI 0.47-0.76). Concerning safety endpoints, nsMRA and SGLT2i showed benefits compared to the others.<h4>Conclusions</h4>As the only drug class, SGLT2i showed in our analysis beneficial effects on top of ACEi/ARB treatment regarding mortality and end stage kidney disease and by that reconfirmed its position as treatment option for diabetic kidney disease. nsMRA reduced the odds for a combined renal endpoint and did not raise any safety concerns, justifying its application.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0293183&type=printable |
| spellingShingle | Fabian Büttner Clara Vollmer Barbosa Hannah Lang Zhejia Tian Anette Melk Bernhard M W Schmidt Treatment of diabetic kidney disease. A network meta-analysis. PLoS ONE |
| title | Treatment of diabetic kidney disease. A network meta-analysis. |
| title_full | Treatment of diabetic kidney disease. A network meta-analysis. |
| title_fullStr | Treatment of diabetic kidney disease. A network meta-analysis. |
| title_full_unstemmed | Treatment of diabetic kidney disease. A network meta-analysis. |
| title_short | Treatment of diabetic kidney disease. A network meta-analysis. |
| title_sort | treatment of diabetic kidney disease a network meta analysis |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0293183&type=printable |
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