Meta-Analysis and Network Analysis Differentially Detect Various Pro-Inflammatory Mediators and Risk Factors for Type 2 Diabetes in the Elderly
This study aimed to investigate the association between blood
pro-inflammatory mediators and the characteristics of elderly patients with T2D
using meta and network analyses. The Web of Science, Scopus, PubMed, and
Cochrane Library databases were selected as study methodology. The Quality in
Prognosis Studies (QUIPS) tool in the meta-analysis assessed the
studies’ methodological quality. The selected studies were statistically
analyzed using the META-MAR tool based on the standardized mean difference
(SMD). The selected studies included nine examinations involving 6399 old people
[+>+55 years old, 65.9+±+4.09
(mean+±+SD)]. The meta-analysis showed that
pro-inflammatory mediators (SMD 0.82) and patient-related variables [risk
factors (SMD 0.71)] were significantly associated with T2D
(p+<+0.05). Subgroup analysis revealed that tumor
necrosis factor alpha (TNF-α; SMD 1.08), body mass index (SMD 0.64),
high-density lipoprotein (HDL; SMD –0.61), body weight (SMD 0.50), and
blood pressure (SMD 1.11) were factors significantly associated with T2D
(p+<+0.05). Network analysis revealed that among patient
characteristics, diastolic blood pressure and, among inflammatory mediators,
leptin were the most closely associated factors with T2D in older adults.
Moreover, network analysis sh...
Source: Hormone and Metabolic Research - Category: Endocrinology Authors: Gu, Linlin Du, Yue Liang, Fang Tags: Original Article: Endocrine Care Source Type: research
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