Published in:
20-08-2022 | Thyroid Cancer | Publisher Correction
Publisher Correction: Impact of uncertainties in exposure assessment on thyroid cancer risk among cleanup workers in Ukraine exposed due to the Chornobyl accident
Published in: European Journal of Epidemiology | Issue 8/2022
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The Publisher regrets that after publication errors were found in Table 2, with columns 2, 3, and 5 formatted incorrectly. The correct table is included in this correction and the paper has been updated.
Table 2
Excess odds ratio/Gy by morphology subtypes using linear EOR model, using geometric mean doses, regression calibration adjusted doses, or Monte Carlo maximum likelihood
|
Regression adjustment
|
Follicular morphology
|
Papillary morphology
|
Other and unspecified thyroid cancer
|
||||||
|---|---|---|---|---|---|---|---|---|---|
|
Cases/controls
|
EOR (95% CI)
|
p-value
|
Cases/controls
|
EOR (95% CI)
|
p-value
|
Cases/controls
|
EOR (95% CI)
|
p-value
|
|
|
Unadjusted model
|
|||||||||
|
Regression (geometric mean of 10,000 doses)
|
24/72
|
2.560 (− 0.269, 21.458)
|
0.138
|
110/338
|
0.115 (− 0.117, 1.104)
|
0.580
|
15/48
|
2.353 (− 0.084, > 100)
|
0.074
|
|
Regression calibration (arithmetic mean of 10,000 doses)
|
24/72
|
1.826 (− 0.227, > 100)
|
0.137
|
110/338
|
0.067 (− 0.101, > 100)
|
0.671
|
15/48
|
2.003 (− 0.073, > 100)
|
0.075
|
|
Full Monte Carlo maximum likelihood
|
24/72
|
2.072 (− 0.247, > 100)
|
0.153
|
110/338
|
0.075 (− 0.172, 0.988)
|
0.659
|
15/48
|
2.314 (− 0.073, 17.476)
|
0.074
|
|
Adjusted baseline for proxy status
|
|||||||||
|
Regression (geometric mean of 10,000 doses)
|
24/72
|
2.699 (− 0.262, 24.083)
|
0.132
|
110/338
|
0.176 (− 0.114, 1.428)
|
0.470
|
15/48
|
2.016 (− 0.141, > 100)
|
0.100
|
|
Regression calibration (arithmetic mean of 10,000 doses)
|
24/72
|
1.733 (− 0.245, 13.628)
|
0.152
|
110/338
|
0.109 (− 0.099, 0.991)
|
0.552
|
15/48
|
1.670 (− 0.131, 13.369)
|
0.108
|
|
Full Monte Carlo maximum likelihood
|
24/72
|
2.009 (− 0.259, 23.456)
|
0.165
|
110/338
|
0.125 (− 0.156, 1.298)
|
0.537
|
15/48
|
1.996 (− 0.133, > 100)
|
0.104
|
|
Adjusted baseline for smoking status, cigarette packyears and proxy statusa
|
|||||||||
|
Regression (geometric mean of 10,000 doses)
|
24/72
|
5.461 (− 0.015, 60.624)
|
0.052
|
110/338
|
0.212 (− 0.112, 1.562)
|
0.416
|
15/48
|
2.025 (− 0.174, 18.789)
|
0.117
|
|
Regression calibration (arithmetic mean of 10,000 doses)
|
24/72
|
3.224 (− 0.082, 30.615)
|
0.068
|
110/338
|
0.131 (− 0.098, 1.064)
|
0.499
|
15/48
|
1.653 (− 0.155, 15.502)
|
0.126
|
|
Full Monte Carlo maximum likelihood
|
24/72
|
4.708 (− 0.075, 85.143)
|
0.066
|
110/338
|
0.143 (− 0.149, 1.338)
|
0.493
|
15/48
|
1.970 (− 0.165, 21.697)
|
0.125
|
|
Adjusted baseline for smoking status, cigarette packyears, alcohol consumption and proxy statusb
|
|||||||||
|
Regression (geometric mean of 10,000 doses)
|
24/72
|
30.091 (1.274, > 100)
|
0.009
|
110/338
|
0.154 (− 0.115, 1.333)
|
0.506
|
15/48
|
> 100c (2.550, > 100)
|
0.003c
|
|
Regression calibration (average of 10,000 doses)
|
24/72
|
12.154 (0.381, > 100)
|
0.020
|
110/338
|
0.100 (− 0.099, 0.945)
|
0.574
|
15/48
|
> 100c (3.085, > 100)
|
0.002c
|
|
Full Monte Carlo maximum likelihood
|
24/72
|
42.119 (1.062, > 100)
|
0.010
|
110/338
|
0.102 (− 0.161, 1.127)
|
0.577
|
15/48
|
> 100c (2.114, > 100)
|
0.003c
|