Evidence map›Paper›PMID 38378712›Full record

ArticleInfectious agents and cancer2024

Trends in gynaecologic cancer mortality and the impact of the COVID-19 pandemic in the United States.

Yuyan Xi, Yuxin Guo, Sikai Qiu, Fan Lv, Yujiao Deng, Jingyi Xie, Zixuan Xing, Yajing Bo, Chenyu Chang, Fan Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Infectious agents and cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Global determinants of gynecologic cancer incidence and mortality: A cluster-based analysis with predictive insights.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  3. Article
  4. Exosomal ncRNAs in reproductive cancers†.Biology of reproduction · 2025
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Yuyan Xi *Department of Gynecology and Obstetrics, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China.
Yuxin Guo *Department of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China.
Sikai QiuSecond Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Fan LvSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
Yujiao DengDepartment of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China.
Jingyi XieSecond Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zixuan XingDepartment of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China.
Yajing BoSecond Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chenyu ChangDepartment of Gynecology and Obstetrics, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China.
Fan ZhangNorthwest Women's and Children's Hospital, Xi'an, China.
Fanpu JiDepartment of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China. jifanpu1979@163.com.
Mu LiDepartment of Gynecology and Obstetrics, Second Affiliated Hospital of Xi'an Jiaotong University, No.157 Xi Wu Road, Xi'an, Shaanxi, 710004, China. muli127@126.com.
Second Affiliated Hospital of Xi'an Jiaotong University · CNNorthwest Women's and Children's Hospital · CNShaanxi Provincial People's Hospital · CNXi'an Jiaotong University · CN

Funding

National Natural Science Foundation of China 81702578Shaanxi Provincial Key R&D Program 2017ZDXM‑SF‑26‑3
6 · The paper itself

Abstract

objectivesOur aim was to assess the trend in gynaecologic cancer (GC) mortality in the period from 2010 to 2022 in the United States, with focus on the impact of the pandemic on increased deaths.

methodsGC mortality data were extracted from the Center for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) platform. We analysed mortality trends and evaluated observed vs. predicted mortality for the period from 2020 to 2022 with joinpoint regression and prediction modelling analyses.

resultsA total of 334,382 deaths among adults aged 25 years and older with gynaecologic cancer were documented from 2010 to 2022. The overall age-standardised mortality rate (ASMR, per 100,000 persons) for ovarian cancer-related death decreased gradually from 7.189 in 2010 to 5.517 in 2019, yielding an APC (annual percentage change) of -2.8%. However, the decrease in ovarian cancer-related mortality slowed down by more than 4-fold during the pandemic. Cervical cancer -related mortality decreased slightly prior to the pandemic and increased during the pandemic with an APC of 0.6%, resulting in excess mortality of 4.92%, 9.73% and 2.03% in 2020, 2021 and 2022, respectively. For uterine corpus cancer, the ASMR increased from 1.905 in 2010 to 2.787 in 2019, and increased sharply to 3.079 in 2021 and 3.211 in 2022. The ASMR rose steadily between 2013 and 2022, yielding an APC of 6.9%.

conclusionsOverall, we found that GC-related mortality increased during the COVID-19 pandemic, and this increase was not specific to age, race, or ethnicity.

Indexed as

Cervical cancerCOVID-19MortalityOvarian cancerUterine corpus cancer

Identifiers

PMID38378712
PMCPMC10880335
OpenAlexW4391954198

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.