Skip to main content
. 2014 Jun 13;9(6):e98135. doi: 10.1371/journal.pone.0098135

Table 3. Gender specific risk estimates for diabetes mellitus-associated thyroid cancer overall and within subgroups.

N of studies N of thyroid cancer cases Summary RR (95% CI) a p-heterogeneity
Women
All studies 11 1,542 1.24 (0.98–1.58) c 0.11
Sensitivity analysis b 9 1,244 1.38 (1.13–1.67) 0.36
Study design b Cohort studies 7 929 1.45 (1.21–1.75) 0.44
Case-control studies 2 315 0.69 (0.30–1.57) 0.96
Geographical area b High incidence regions 6 1,055 1.50 (1.23–1.83) 0.40
Low incidence regions 3 189 0.95 (0.60–1.50) 0.81
Study quality b Score ≥6 6 687 1.42 (1.08–1.85) 0.26
Score <6 3 557 1.20 (0.86–1.69) 0.52
Men
All studies 7 506 1.15 (0.86–1.54) 0.49
Sensitivity analysis b 5 219 1.11 (0.80–1.53) 0.92
Study design b Cohort studies 3 111 1.06 (0.74–1.50) 0.81
Case-control studies 2 108 1.45 (0.62–3.38) 0.81
Geographical area b High incidence regions 3 148 1.06 (0.73–1.53) 0.71
Low incidence regions 2 71 1.30 (0.64–2.63) 1.00
Study quality b Score ≥6 3 123 1.10 (0.77–1.57) 0.87
Score <6 2 96 1.13 (0.51–2.51) 0.42
a

All summary ORs/RRs (95% CIs) were calculated by the random-effect model

b

We excluded three studies using the risk estimates with SIRs ([14] and [32]) and the different definition of diabetes ([33] was included with IFG and IGT and [34] used quintile of glucose level)

c

Publication bias by Egger and Begg test (p<0.05).