Evidence map›Paper›PMID 38764017›Full record

ArticleBMC public health2024

Assessment of secular trends of three major gynecologic cancers burden and attributable risk factors from 1990 to 2019: an age period cohort analysis.

Yiran Liu, Wenqi Shi, Sumaira Mubarik, Fang Wang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. Environment, lifestyle, and cancer in women.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
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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

4 authors.

Yiran LiuThe Second Clinical Medical College of Nanjing Medical University, Nanjing, China.
Wenqi ShiDepartment of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Sumaira MubarikDepartment of PharmacoTherapy-Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands. s.mubarik@rug.nl.
Fang WangDepartment of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China. FWang@xzhmu.edu.cn.

Funding

Natural Science Fund for Colleges and Universities in Jiangsu Province 22KJD310005Outstanding Talent Research Initiation Foundation of Xuzhou Medical University D2021036
6 · The paper itself

Abstract

backgroundThis study aims to assess the long-term trends in the burden of three major gynecologic cancers(GCs) stratified by social-demographic status across the world from 1990 to 2019. To assess the trends of risk factor attributed mortality, and to examine the specific effects of age, period, cohort behind them in different regions.

methodsWe extracted data on the mortality, disability-adjusted life years(DALYs), and age-standardized rates(ASRs) of cervical cancer(CC), uterine cancer(UC), and ovarian cancer(OC) related to risks from 1990 to 2019, as GCs burden measures. Age-period-cohort analysis was used to analyze trends in attributable mortality rates.

resultsThe number of deaths and DALYs for CC, UC and OC increased since 1990 worldwide, while the ASDRs decreased. Regionally, the ASDR of CC was the highest in low SDI region at 15.05(11.92, 18.46) per 100,000 in 2019, while the ASDRs of UC and OC were highest in high SDI region at 2.52(2.32,2.64), and 5.67(5.16,6.09). The risk of CC death caused by unsafe sex increased with age and then gradually stabilized, with regional differences. The period effect of CC death attributed to smoking showed a downward trend. The cohort effect of UC death attributed to high BMI decreased in each region, especially in the early period in middle, low-middle and low SDI areas.

conclusionsGlobal secular trends of attributed mortality for the three GCs and their age, period, and cohort effects may reflect the diagnosis and treatment progress, rapid socioeconomic transitions, concomitant changes in lifestyle and behavioral patterns in different developing regions. Prevention and controllable measures should be carried out according to the epidemic status in different countries, raising awareness of risk factors to reduce future burden.

Indexed as

Genital Neoplasms, FemaleAdultAgedAge FactorsCohort StudiesCost of IllnessDisability-Adjusted Life YearsFemaleGlobal HealthHumansMiddle AgedOvarian NeoplasmsRisk FactorsUterine Cervical NeoplasmsUterine NeoplasmsYoung AdultAge-period-cohort modelCervical cancerGlobal burden of diseaseOvarian cancerUterine cancer

Identifiers

PMID38764017
PMCPMC11103856

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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.