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Figure 1.

Selection of studies for meta-analysis.

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Table 1.

Characteristics of all identified studies (N = 16) of ferritin levels, iron intake and the risk of type 2 diabetes for the meta-analysis.

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Table 2.

Assessment of quality of all included studies for systematic review and meta-analysis.

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Table 3.

Characteristics of additional identified studies (N = 15) of body iron stores and the risk of T2D for the systematic review.

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Table 4.

Effect Estimates of type 2 diabetes according to ferritin levels and dietary iron intake in all 16 studies for the meta-analysis.

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Figure 2.

Forest plot showing the effect estimates of each prospective study and the pooled relative risk comparing the highest with the lowest category of ferritin levels.

*dotted line represented the combined effect estimate of meta-analysis. Size of square and rhomboids represented weight.

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Figure 3.

Forest plot showing the effect estimates of each cross-sectional study and the pooled relative risk comparing the highest with the lowest category of ferritin levels.

*dotted line represented the combined effect estimate of meta-analysis. Size of square and rhomboids represented weight.

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Figure 4.

Forest plot showing the effect estimates of each cohort study and the pooled relative risk comparing the highest with the lowest category of heme-iron intake levels.

*dotted line represented the combined effect estimate of meta-analysis. Size of square and rhomboids represented weight.

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Table 5.

Stratified meta-analysis of ferritin levels and the risk of type 2 diabetes.

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Table 6.

β coefficients and corresponding p values analyzed by meta-regression models.

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Figure 5.

Begg’s Funnel Plots for visual assessment of the presence of publication bias for 6 prospective studies of ferritin in the meta-analysis.

Begg’s bias (P = 0.851).

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Figure 6.

Egger’s Funnel Plots for visual assessment of the presence of publication bias for 6 prospective studies of ferritin in the meta-analysis.

Egger’s bias (P = 0.772).

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Figure 7.

Begg’s Funnel Plot for visual assessment of the presence of publication bias for 6 cross-sectional studies of ferritin in the meta-analysis.

Begg’s bias (P = 0.188).

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Figure 8.

Egger’s Funnel Plot for visual assessment of the presence of publication bias for 6 cross-sectional studies of ferritin in the meta-analysis.

Egger’s bias (P = 0.124).

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Figure 9.

Begg’s and Funnel Plot for visual assessment of the presence of publication bias for 4 cohort studies of heme-iron intake in the meta-analysis.

Begg’s bias (P = 0.497).

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Figure 10.

Egger’s Funnel Plot for visual assessment of the presence of publication bias for 4 cohort studies of heme-iron intake in the meta-analysis.

Egger’s bias (P = 0.658).

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Figure 11.

Galbraith plot of the ferritin levels for the association with type 2 diabetes for prospective studies.

The regression runs through the origin interval (central solid line). Between the two outer parallel lines is the 95% confidence interval.

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Figure 12.

Galbraith plot of the ferritin levels for the association with type 2 diabetes for cross-sectional studies.

The regression runs through the origin interval (central solid line). Between the two outer parallel lines is the 95% confidence interval.

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