Erratum to: Blood TDP-43 Combined with Demographics Information Predicts Dementia Occurrence in Community Non-Dementia Elderly

[Journal of Alzheimer’s Disease, 79(1) (2021), 301-309, 10.3233/JAD-201263]

https://content.iospress.com/articles/journal-of-alzheimers-disease/jad201263

In Table 3 on page 306 of the original version of this article, the fourth image was inadvertently duplicated as the fifth image. This issue is only related to Table 3, and the in-text results are correct.

The updated and corrected Table 3 has been placed in its entirety below.

Table 3

The prediction model of plasma TDP-43 combing with demographics is a good parameter to distinguish subjects (from NC/MCI to dementia) from subjects (non-dementia) through a single cross-sectional analysis at baseline

Subjects (from NC/MCI to dementia, n = 18) vs. subjects (non-dementia, n = 68)
	Plasma TDP-43 level	Age	Education	Prediction model 1*	Prediction model 2*
AUC	0.576	0.712	0.659	0.756	0.836
Specificity	0.868	0.779	0.132	0.853	0.750
Sensitivity	0.333	0.611	0.556	0.611	0.833
Cutoff value	303.86	72.500	3.5	–0.926	–1.234
p-value	0.324	0.006	0.037	0.001	<0.0001
ROC curve

*prediction model 1=–8.394 + 0.074×age-0.115×education+1.403×diabetes *prediction model 2 : 15.378 + 0.102×age – 0.149×education+3.341×diabetes+0.006×plasma TDP-43 95% CI:95% confidence interval; AUC: area under the curves; ROC: receiver operation characteristic.