Evidence map›Paper›PMID 40926368›Full record

ArticleAnnals of medicine2025

Global, regional and national epidemiology of acute myeloid leukemia (1990-2021): a statistical analysis of incidence, mortality, and DALYs.

Binghuo Wu, Fei Song, Xue Han, Minyi Zhao, Meijia Huang, Wenwen Zhang, Tian Tan, Yanju Gong, Chenhui Cao, Songtao Cheng

Abstract read
In one paragraph

Article in Annals of medicine, 2025. 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
–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

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.

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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

10 authors.

Binghuo WuInstitute of Blood Transfusion, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Chengdu, China.
Fei SongDepartment of Urology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Xue HanDepartment of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Minyi ZhaoClinical medical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Meijia HuangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Chengdu, China.
Wenwen ZhangScientific Affairs, BeiGene (Beijing) Co. Ltd, Beijing, China.
Tian TanSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yanju GongSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chenhui CaoCancer Institute, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Songtao ChengDepartment of Urology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study provides a comprehensive analysis of the global, regional, and national epidemiology of acute myeloid leukemia (AML) from 1990 to 2021, focusing on incidence, mortality, and disability-adjusted life years (DALYs).

methodsUsing data from the Global Burden of Disease (GBD) study, we investigated the trends and patterns of AML across 204 countries and territories during 1990 to 2021. All statistical analyses and data visualizations were performed using R (version 4.4.2) and JD_GBDR (V2.36).

resultsThe global incidence of AML increased by 82.25% from 79.37 × 10³ cases in 1990 to 144.65 × 10³ cases in 2021, with significant variations across regions. AML-related deaths increased by 73.77% globally, from 74.92 × 10³ in 1990 to 130.19 × 10³ in 2021. DALYs rose by 23.70%, from 3342.91 × 10³ in 1990 to 4135.06 × 10³ in 2021.

conclusionsHigh SDI regions face higher incidence and mortality due to advanced diagnostics and aging, while low-middle SDI regions show rapid increases likely due to urbanization and lifestyle changes. Addressing these disparities requires improved healthcare infrastructure, early detection, and targeted interventions, particularly in low- and middle-income countries (LMICs).

Indexed as

Disability-Adjusted Life YearsLeukemia, Myeloid, AcuteAdolescentAdultAgedFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedYoung AdultAcute myeloid leukemiadisability-adjusted life yearsglobal burden of disease studyincidencemortality

Identifiers

PMID40926368
PMCPMC12424143

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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.