Trends in Uterine Cancer Cases after the Coronavirus Disease 2019 (COVID-19) Pandemic

Nathan Tran; Joshua E. Chan; Chelsea Stewart; Caitlin R. Johnson; Kathleen Darcy; Chunqiao Tian; Daniel S. Kapp; Cheng I. Liao; John K. Chan

doi:10.1097/AOG.0000000000005731

Trends in Uterine Cancer Cases after the Coronavirus Disease 2019 (COVID-19) Pandemic

Nathan Tran, Joshua E. Chan, Chelsea Stewart, Caitlin R. Johnson^*, Kathleen Darcy, Chunqiao Tian, Daniel S. Kapp, Cheng I. Liao, John K. Chan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

We assessed the temporal trends in diagnosis of uterine cancer before and during the coronavirus disease 2019 (COVID-19) pandemic using data from the United States Cancer Statistics database spanning from 2001 to 2020. A comparison between projected and observed new cases in 2020 revealed a 4,232-case discrepancy, indicating 9.3% fewer diagnosed cases than predicted based on trends. Hispanic and Asian and Pacific Islander patients exhibited the highest discrepancy at 14.6% and 12.0% fewer cases, respectively, compared with 8.6% and 6.9% for White and Black patients. Our results highlight the importance of targeting health resources toward vulnerable populations in an effort to address accumulated cases of uterine cases after the pandemic.

Original language	English
Pages (from-to)	829-831
Number of pages	3
Journal	Obstetrics and gynecology
Volume	144
Issue number	6
DOIs	https://doi.org/10.1097/AOG.0000000000005731
State	Published - 1 Dec 2024
Externally published	Yes

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10.1097/AOG.0000000000005731

Cite this

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title = "Trends in Uterine Cancer Cases after the Coronavirus Disease 2019 (COVID-19) Pandemic",

abstract = "We assessed the temporal trends in diagnosis of uterine cancer before and during the coronavirus disease 2019 (COVID-19) pandemic using data from the United States Cancer Statistics database spanning from 2001 to 2020. A comparison between projected and observed new cases in 2020 revealed a 4,232-case discrepancy, indicating 9.3% fewer diagnosed cases than predicted based on trends. Hispanic and Asian and Pacific Islander patients exhibited the highest discrepancy at 14.6% and 12.0% fewer cases, respectively, compared with 8.6% and 6.9% for White and Black patients. Our results highlight the importance of targeting health resources toward vulnerable populations in an effort to address accumulated cases of uterine cases after the pandemic.",

author = "Nathan Tran and Chan, {Joshua E.} and Chelsea Stewart and Johnson, {Caitlin R.} and Kathleen Darcy and Chunqiao Tian and Kapp, {Daniel S.} and Liao, {Cheng I.} and Chan, {John K.}",

year = "2024",

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T1 - Trends in Uterine Cancer Cases after the Coronavirus Disease 2019 (COVID-19) Pandemic

AU - Tran, Nathan

AU - Chan, Joshua E.

AU - Stewart, Chelsea

AU - Johnson, Caitlin R.

AU - Darcy, Kathleen

AU - Tian, Chunqiao

AU - Kapp, Daniel S.

AU - Liao, Cheng I.

AU - Chan, John K.

PY - 2024/12/1

Y1 - 2024/12/1

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