Feixiang Wu, Chenmin Cui, Junping Wu, Yunqing Wang
{"title":"脂蛋白(a)能否预测2型糖尿病肾病的风险？：系统回顾与元分析。","authors":"Feixiang Wu, Chenmin Cui, Junping Wu, Yunqing Wang","doi":"10.1055/a-2554-0696","DOIUrl":null,"url":null,"abstract":"<p><p>We aimed to examine if serum lipoprotein(a) [Lp(a)] values could be used to predict the risk of diabetic nephropathy (DN) in type 2 diabetes mellitus (T2DM). English-language observational studies available as full-texts on PubMed, Embase, Scopus, and Web of Science databases up to 28th November 2024 were included in the review. Studies were to assess the association between Lp(a) and DN and report adjusted effect size. Random-effects meta-analysis was conducted. Five cross-sectional, two case-control, and eight studies prospective cohort were included. Six studies used Lp(a) as a continuous variable while eight used it as a categorical variable. Two studies used Lp(a) as both. Meta-analysis showed that an incremental increase in Lp(a) was associated with a small increase in the risk of DN (OR: 1.03 95% CI: 1.01, 1.04 I<sup>2</sup>=86%). Meta-analysis also showed that high levels of Lp(a) were associated with a significant increase in the risk of DN (OR: 1.64 95% CI: 1.24, 2.17 I<sup>2</sup>=67%). Subgroup analysis based on study design, location, sample size, T2DM duration, baseline HbA1c, and definition of DN yielded mixed results. Lp(a) could be a potential marker for DN in T2DM. Further investigations may provide better evidence.</p>","PeriodicalId":12999,"journal":{"name":"Hormone and Metabolic Research","volume":"57 4","pages":"242-251"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Can Lipoprotein(a) Predict the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus?: A Systematic Review and Meta-Analysis.\",\"authors\":\"Feixiang Wu, Chenmin Cui, Junping Wu, Yunqing Wang\",\"doi\":\"10.1055/a-2554-0696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We aimed to examine if serum lipoprotein(a) [Lp(a)] values could be used to predict the risk of diabetic nephropathy (DN) in type 2 diabetes mellitus (T2DM). English-language observational studies available as full-texts on PubMed, Embase, Scopus, and Web of Science databases up to 28th November 2024 were included in the review. Studies were to assess the association between Lp(a) and DN and report adjusted effect size. Random-effects meta-analysis was conducted. Five cross-sectional, two case-control, and eight studies prospective cohort were included. Six studies used Lp(a) as a continuous variable while eight used it as a categorical variable. Two studies used Lp(a) as both. Meta-analysis showed that an incremental increase in Lp(a) was associated with a small increase in the risk of DN (OR: 1.03 95% CI: 1.01, 1.04 I<sup>2</sup>=86%). Meta-analysis also showed that high levels of Lp(a) were associated with a significant increase in the risk of DN (OR: 1.64 95% CI: 1.24, 2.17 I<sup>2</sup>=67%). Subgroup analysis based on study design, location, sample size, T2DM duration, baseline HbA1c, and definition of DN yielded mixed results. Lp(a) could be a potential marker for DN in T2DM. Further investigations may provide better evidence.</p>\",\"PeriodicalId\":12999,\"journal\":{\"name\":\"Hormone and Metabolic Research\",\"volume\":\"57 4\",\"pages\":\"242-251\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hormone and Metabolic Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2554-0696\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hormone and Metabolic Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2554-0696","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/10 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Can Lipoprotein(a) Predict the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus?: A Systematic Review and Meta-Analysis.
We aimed to examine if serum lipoprotein(a) [Lp(a)] values could be used to predict the risk of diabetic nephropathy (DN) in type 2 diabetes mellitus (T2DM). English-language observational studies available as full-texts on PubMed, Embase, Scopus, and Web of Science databases up to 28th November 2024 were included in the review. Studies were to assess the association between Lp(a) and DN and report adjusted effect size. Random-effects meta-analysis was conducted. Five cross-sectional, two case-control, and eight studies prospective cohort were included. Six studies used Lp(a) as a continuous variable while eight used it as a categorical variable. Two studies used Lp(a) as both. Meta-analysis showed that an incremental increase in Lp(a) was associated with a small increase in the risk of DN (OR: 1.03 95% CI: 1.01, 1.04 I2=86%). Meta-analysis also showed that high levels of Lp(a) were associated with a significant increase in the risk of DN (OR: 1.64 95% CI: 1.24, 2.17 I2=67%). Subgroup analysis based on study design, location, sample size, T2DM duration, baseline HbA1c, and definition of DN yielded mixed results. Lp(a) could be a potential marker for DN in T2DM. Further investigations may provide better evidence.
期刊介绍：
Covering the fields of endocrinology and metabolism from both, a clinical and basic science perspective, this well regarded journal publishes original articles, and short communications on cutting edge topics.
Speedy publication time is given high priority, ensuring that endocrinologists worldwide get timely, fast-breaking information as it happens.
Hormone and Metabolic Research presents reviews, original papers, and short communications, and includes a section on Innovative Methods. With a preference for experimental over observational studies, this journal disseminates new and reliable experimental data from across the field of endocrinology and metabolism to researchers, scientists and doctors world-wide.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
