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Association between telomere length and diabetes mellitus: A meta-analysis
OBJECTIVE: We investigated the relationship between diabetes and telomere length by meta-analysis. METHODS: We searched five popular databases for articles published between 1990 and 2015 using “diabetes” and “telomere” as search terms. Data were processed with RevMan5, and random- or fixed-effects...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536737/ https://www.ncbi.nlm.nih.gov/pubmed/28322101 http://dx.doi.org/10.1177/0300060516667132 |
Sumario: | OBJECTIVE: We investigated the relationship between diabetes and telomere length by meta-analysis. METHODS: We searched five popular databases for articles published between 1990 and 2015 using “diabetes” and “telomere” as search terms. Data were processed with RevMan5, and random- or fixed-effects meta-analysis was applied. The effects of geographical region, diabetes type, body mass index (BMI), age and sex were examined. Funnel plots were applied to evaluate publication bias. RESULTS: Seventeen articles were obtained from 571 references. We identified a significant association between telomere length and diabetes mellitus (standardized mean difference [SMD]: −3.41; 95% confidence interval [CI]: −4.01, −2.80; heterogeneity, I(2 )= 99%) by comparing 5575 patients with diabetes and 6349 healthy individuals. The pooled SMD by geographic region indicated a significant association between shortened telomere length and diabetes mellitus (SMD: −3.41; 95% CI: −4.01, −2.80; heterogeneity, I(2 )= 99%). In addition, telomere length was significantly associated with age (SMD: −3.41; 95% CI: −4.01, −2.80), diabetes type (SMD: −3.41; 95% CI: −4.01, −2.80), BMI (SMD: −1.61; 95% CI: −1.98, −1.23) and sex (SMD: −4.94; 95% CI: −9.47, −0.40). CONCLUSIONS: The study demonstrated a close relationship between diabetes mellitus and telomere length, which was influenced by region, age, diabetes type, BMI and sex. |
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