{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T22:14:23Z","timestamp":1787004863064,"version":"build-2736575974"},"reference-count":79,"publisher":"Georg Thieme Verlag KG","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Horm Metab Res"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Type 2 diabetes (T2D) has a pathophysiological component that includes\n                    inflammation. Inflammation-sensitive marker measurement may be helpful in\n                    determining the risk of complications for both older T2D patients and the\n                    public. This study aimed to investigate the association between blood\n                    pro-inflammatory mediators and the characteristics of elderly patients with T2D\n                    using meta and network analyses. The Web of Science, Scopus, PubMed, and\n                    Cochrane Library databases were selected as study methodology. The Quality in\n                    Prognosis Studies (QUIPS) tool in the meta-analysis assessed the\n                    studies\u2019 methodological quality. The selected studies were statistically\n                    analyzed using the META-MAR tool based on the standardized mean difference\n                    (SMD). The selected studies included nine examinations involving 6399 old people\n                    [+&gt;+55 years old, 65.9+\u00b1+4.09\n                    (mean+\u00b1+SD)]. The meta-analysis showed that\n                    pro-inflammatory mediators (SMD 0.82) and patient-related variables [risk\n                    factors (SMD 0.71)] were significantly associated with T2D\n                    (p+&lt;+0.05). Subgroup analysis revealed that tumor\n                    necrosis factor alpha (TNF-\u03b1; SMD 1.08), body mass index (SMD 0.64),\n                    high-density lipoprotein (HDL; SMD \u20130.61), body weight (SMD 0.50), and\n                    blood pressure (SMD 1.11) were factors significantly associated with T2D\n                    (p+&lt;+0.05). Network analysis revealed that among patient\n                    characteristics, diastolic blood pressure and, among inflammatory mediators,\n                    leptin were the most closely associated factors with T2D in older adults.\n                    Moreover, network analysis showed that TNF-\u03b1 and systolic blood pressure\n                    were most closely associated with leptin. Overall, alternate techniques, such as\n                    meta-analysis and network analysis, might identify different markers for T2D in\n                    older people. A therapeutic decision-making process needs to consider these\n                    differences in advance.<\/jats:p>","DOI":"10.1055\/a-2241-5281","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:47:36Z","timestamp":1704840456000},"page":"727-736","source":"Crossref","is-referenced-by-count":2,"title":["Meta-Analysis and Network Analysis Differentially Detect Various\n                    Pro-Inflammatory Mediators and Risk Factors for Type 2 Diabetes in the\n                    Elderly"],"prefix":"10.1055","volume":"56","author":[{"given":"Linlin","family":"Gu","sequence":"additional","affiliation":[{"name":"Endocrine Metabolism Department and Geriatric Department, 7th\n                    People\u2019s Hospital of Chengdu, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Du","sequence":"additional","affiliation":[{"name":"Endocrine Metabolism Department and Geriatric Department, 7th\n                    People\u2019s Hospital of Chengdu, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Liang","sequence":"additional","affiliation":[{"name":"General Medicine Department, 7th People\u2019s Hospital of Chengdu,\n                    Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2024,2,12]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"37","DOI":"10.2337\/diacare.28.suppl_1.S37","article-title":"Diagnosis and classification of diabetes mellitus","volume":"28","author":"American Diabetes Association","year":"2005","journal-title":"Diabetes Care"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1428","DOI":"10.1056\/NEJM199411243312107","article-title":"The pathogenesis of insulin-dependent diabetes mellitus","volume":"331","author":"M A Atkinson","year":"1994","journal-title":"N Engl J Med"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1097\/00045391-200607000-00012","article-title":"A review of types 1 and 2 diabetes mellitus and their treatment with\n                    insulin","volume":"13","author":"A Salsali","year":"2006","journal-title":"Am J Ther"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.ecl.2004.03.002","article-title":"The metabolic syndrome or the insulin resistance syndrome? 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