Evidence map›Paper›PMID 42894150›Full record

ArticleBMC public health2026

Ovarian cancer in Asia: incidence, mortality in 2022, and future projections to 2050.

Yu Fu, Yangyang Xu, Baohua Zhang, Mengxia Fu, Huizhen Sun

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yu Fu *Department of Obstetrics and Gynecology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, P. R. China.
Yangyang Xu *Department of Obstetrics and Gynecology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, P. R. China.
Baohua ZhangDepartment of Obstetrics and Gynecology, Punan Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine (Punan Hospital in Pudong, New district, Shanghai), Shanghai, China.
Mengxia FuGalactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. fmx3973@bjsjth.cn.
Huizhen SunDepartment of Obstetrics and Gynecology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, P. R. China. m15001945069@163.com.

Funding

the Health Research Project of Pudong New Area Health Commission in Shanghai PW2023A-67
6 · The paper itself

Abstract

Ovarian cancer continues to carry a poor prognosis, particularly in resource-limited settings. Using estimates from the International Agency for Research on Cancer, we conducted a secondary analysis of ovarian cancer burden across 47 Asian countries in 2022 and projected the burden through 2050. Age-standardized incidence and mortality rates (ASIR, ASMR) were obtained from GLOBOCAN 2022, using the Segi-Doll standard population. Associations with the Human Development Index (HDI) were assessed using Spearman's correlation. Age-period-cohort (APC) modeling was applied to explore generational risk patterns based on mortality data from 1993 to 2022. In 2022, Asia accounted for 178.2 thousand new cases and 109.5 thousand deaths. ASIR and ASMR were 6.2 and 3.7 per 100,000, respectively. Brunei Darussalam exhibited the highest incidence (13.2 per 100,000), and the Philippines had the highest mortality (7.5 per 100,000). APC analysis revealed higher cohort-specific risks among women born in more recent birth cohorts relative to those born in 1949-1957 (reference cohort). ASIR (r = 0.425, P < 0.05) and ASMR (r = 0.309, P < 0.05) were positively correlated with HDI among women aged ≥ 50 years. High body-mass index emerged as the leading modifiable risk factor contributing to mortality, with the highest contributions in Kuwait (22.3%), Qatar (21.3%) and Jordan (20.2%). Under constant rates, ovarian cancer cases and deaths in Asia are projected to rise to 265.9 thousand and 183.6 thousand by 2050, with the fastest increases in low-HDI countries (124% cases; 137% deaths). These findings highlight substantial heterogeneity across countries, generations, and development levels, underscoring the need for age-targeted, development-sensitive prevention and health-system strategies in Asia.

Indexed as

Ovarian NeoplasmsAdultAgedAsiaFemaleForecastingHumansIncidenceMiddle AgedAsiaIncidenceMortalityOvarian cancerPrediction

Identifiers

PMID42894150
PMCPMC13678943

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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.