PMID- 36791062 OWN - NLM STAT- MEDLINE DCOM- 20230217 LR - 20230406 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 18 IP - 2 DP - 2023 TI - Estimating the lifetime risk of a false positive screening test result. PG - e0281153 LID - 10.1371/journal.pone.0281153 [doi] LID - e0281153 AB - False positive results in screening tests have potentially severe psychological, medical, and financial consequences for the recipient. However, there have been few efforts to quantify how the risk of a false positive accumulates over time. We seek to fill this gap by estimating the probability that an individual who adheres to the U.S. Preventive Services Task Force (USPSTF) screening guidelines will receive at least one false positive in a lifetime. To do so, we assembled a data set of 116 studies cited by the USPSTF that report the number of true positives, false negatives, true negatives, and false positives for the primary screening procedure for one of five cancers or six sexually transmitted diseases. We use these data to estimate the probability that an individual in one of 14 demographic subpopulations will receive at least one false positive for one of these eleven diseases in a lifetime. We specify a suitable statistical model to account for the hierarchical structure of the data, and we use the parametric bootstrap to quantify the uncertainty surrounding our estimates. The estimated probability of receiving at least one false positive in a lifetime is 85.5% (+/-0.9%) and 38.9% (+/-3.6%) for baseline groups of women and men, respectively. It is higher for subpopulations recommended to screen more frequently than the baseline, including more vulnerable groups such as pregnant women and men who have sex with men. Since screening technology is imperfect, false positives remain inevitable. The high lifetime risk of a false positive reveals the importance of educating patients about this phenomenon. CI - Copyright: (c) 2023 White, Algeri. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. FAU - White, Tim AU - White T AUID- ORCID: 0000-0001-5535-0452 AD - Department of Statistics, University of Michigan, Ann Arbor, Michigan, United States of America. AD - School of Statistics, University of Minnesota, Minneapolis, Minnesota, United States of America. FAU - Algeri, Sara AU - Algeri S AUID- ORCID: 0000-0001-7366-3866 AD - School of Statistics, University of Minnesota, Minneapolis, Minnesota, United States of America. LA - eng PT - Journal Article DEP - 20230215 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Pregnancy MH - Male MH - Humans MH - Female MH - Homosexuality, Male MH - *Sexual and Gender Minorities MH - Probability MH - *Neoplasms MH - False Positive Reactions MH - Mass Screening/methods PMC - PMC9931091 COIS- The authors have declared that no competing interests exist. EDAT- 2023/02/16 06:00 MHDA- 2023/02/18 06:00 PMCR- 2023/02/15 CRDT- 2023/02/15 13:33 PHST- 2022/06/27 00:00 [received] PHST- 2023/01/14 00:00 [accepted] PHST- 2023/02/15 13:33 [entrez] PHST- 2023/02/16 06:00 [pubmed] PHST- 2023/02/18 06:00 [medline] PHST- 2023/02/15 00:00 [pmc-release] AID - PONE-D-22-18274 [pii] AID - 10.1371/journal.pone.0281153 [doi] PST - epublish SO - PLoS One. 2023 Feb 15;18(2):e0281153. doi: 10.1371/journal.pone.0281153. eCollection 2023.