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False negatives of screening in large-scale population

Authors :
XU Ning
TONG Yixin
JIANG Honglin
ZHOU Yibiao
JIANG Qingwu
Source :
Shanghai yufang yixue, Vol 34, Iss 5, Pp 432-435 (2022)
Publication Year :
2022
Publisher :
Shanghai Preventive Medicine Association, 2022.

Abstract

ObjectiveTo explore the changing trend of negative predictive value and number of false negatives in screening tests under the condition of low infection rate of infectious diseases.MethodsAssuming that the population is 20 million, to calculate the negative predictive value, numbers of true negatives and false negatives of the combination of different sensitivity (75.0%, 80.0%, 85.0%, 90.0%, 95.0%, 99.0%) and specificity (90.0%, 95.0%, 99.0%, 99.9%) when the disease infection rate of the population is 0.10%, 1.0% and 5.0% respectively.ResultsWhen the population infection rate is 0.1%, with the screening test sensitivity ≥75.0% and specificity ≥90.0%, the number of true negatives in 20 million people is about 17.98‒19.96 million. When the sensitivity is 75.0%, the negative predictive value is 99.972%‒99.975%, and the number of false negatives is 5 000; When the sensitivity increases to 99.0%, the negative predictive value is 99.999%, and the number of false negatives decreases to 200. When the population infection rate is 1.0%, a screening test with sensitivity ≥75.0% and specificity ≥90.0% can detect about 17.82‒19.78 million true negatives in 20 million population. When the sensitivity is 75.0%, the negative predictive value is 99.720%‒99.748%, and the number of false negatives is 50 000; When the sensitivity increases to 99.0%, the negative predictive value increases to 99.990%, and the number of false negatives decreases to 2 000. When the population infection rate is 5.0%, with sensitivity ≥75.0% and specificity ≥90.0%, the number of true negatives in 20 million people is about 17.10‒18.98 million; when the sensitivity is 75.0%, the negative predictive value is 98.559%‒98.700%, and the number of false negatives can reach 250 000; When the sensitivity is 99.0%, the negative predictive value increases to 99.942%‒99.947%, and the number of false negatives decreases to 10 000. The lower the infection rate of the population, the fewer false negatives will appear in the screening.ConclusionThe number of false negatives in large-scale screenings increases exponentially with the increase of infection rate. Screenings should be carried out as early as possible in a pandemic of infectious diseases, so as to control the spread of the pandemic as soon as possible.

Details

Language :
Chinese
ISSN :
10049231
Volume :
34
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Shanghai yufang yixue
Publication Type :
Academic Journal
Accession number :
edsdoj.f61cc19ca81c4e0fb168ee26638e83ff
Document Type :
article
Full Text :
https://doi.org/10.19428/j.cnki.sjpm.2022.22031