Global, regional, and national burden of ovarian cancer due to high BMI, 1990-2021 and projections to 2050: a systematic analysis based on the global burden of disease 2021 study.

Shuiqing Xu, Xiaotong Fu, Ming Wang

Abstract read

In one paragraph

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

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Shuiqing Xu *Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Beijing Maternal and Child Health Care Hospital, Beijing, China.

Xiaotong Fu *Department of Neurology, Beijing Chaoyang Hospital of Captital Medical University, Beijing, China.

Ming WangDepartment of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Beijing Maternal and Child Health Care Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using GBD 2021 data, this study quantifies the disease burden of ovarian cancer attributable to high BMI-encompassing mortality and disability-adjusted life years (DALYs)-across 204 countries/regions globally between 1990 and 2021. By analyzing temporal trends, we will identify regions with a significant increase in burden, providing a basis for formulating targeted prevention and control strategies. We also explore correlations between disease burden and socioeconomic indicators to assess how socioeconomic factors influence ovarian cancer incidence and prognosis. In addition, we will analyze the roles of aging, population structure changes, and epidemiological factors in the burden of ovarian cancer caused by high BMI, dissect differences between countries, and predict trends up to 2050. The results of this study will provide important references for public health policy formulation, rational resource allocation, and the prevention and control of ovarian cancer.

Indexed as

disease burdenglobal trendshigh BMIovarian cancerprojections

Identifiers

PMID41737342

DOI10.3389/fnut.2026.1688767

PMCPMC12926127

What OpenQuestion holds

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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.