Evidence map›Paper›PMID 39850939›Full record

ArticleSAGE open medicine2025

1990-2041 Global burden of Burkitt lymphoma with 20 years forecast: A systematic analysis using the global burden disease of study of 2021.

Chengyun Dou, Yidan Sang, Hongbo Zhu, Chuangjie Cao

Abstract read
In one paragraph

Article in SAGE open medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. [Analysis of the disease burden of Burkitt lymphoma in China from 1990 to 2021].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2026
    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

4 authors.

Chengyun DouDepartment of Infectious Diseases, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yidan SangCollege of Life Science, Shaanxi Normal University, Xi'an, Shanxi, China.
Hongbo ZhuDepartment of Medical Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Chuangjie CaoDepartment of Pathology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.ORCID https://orcid.org/0000-0003-1423-6703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the trends in Burkitt lymphoma incidence, mortality, and disability-adjusted life-years, considering sex and age, from 1990 to 2021, with a 20-year forecast. Method: Data regarding Burkitt lymphoma were extracted from the Global Burden of Disease study for the year 2021. Results: Globally, there were 19,072 incident cases of Burkitt lymphoma in 2021. Cases of Burkitt lymphoma experienced a 207% increase from 1990 to 2021. Over three decades, Burkitt lymphoma-associated deaths rose from 3843 to 6525. The global incidence rate of Burkitt lymphoma increased from 0.127 in 1990 to 0.236 in 2021 per 100,000 population. High body-mass indexes contribution to Burkitt lymphoma is evident in the disability-adjusted life-years, with the United States and the United Kingdom recording 0.06 and 0.05, respectively. Conversely, China and India demonstrated substantially lower contributions, at 0.02 and 0.005, respectively. The groups aged 0-14 and 50-74 years surpassed other age groups in both Burkitt lymphoma-associated incidence and death numbers. Moreover, males consistently had higher Burkitt lymphoma-associated mortality rates and numbers than females in all age groups. Furthermore, the estimated annual percentage changes of incidence with Burkitt lymphoma were positively correlated with sociodemographic index (Pearson Conclusion: The burden of Burkitt lymphoma varies according to different regions and genders, and children of 0-14 years, adults of 50-74 years with Burkitt lymphoma disease as well as male patients need special attention. High body-mass index contributes significantly to Burkitt lymphoma burden in the United States and United Kingdom, but less so in China and India. Hopefully, this study will help optimize the prevention, diagnosis, treatment, and management of Burkitt lymphoma to reduce the disease burden.

Indexed as

Bayesian age-period-cohort modelsBurkitt lymphomadisability-adjusted life-yearsGlobal Burden of Diseasesociodemographic index

Identifiers

PMID39850939
PMCPMC11755534

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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.