Evidence map›Paper›PMID 40256772›Full record

ArticleEClinicalMedicine2025

Global landscape and trends in lifetime risks of haematologic malignancies in 185 countries: population-based estimates from GLOBOCAN 2022.

Kexin Sun, Hongliang Wu, Qian Zhu, Kai Gu, Hui Wei, Shaoming Wang, Li Li, Chunxiao Wu, Ru Chen, Yi Pang and 5 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Beyond XX and XY, Understanding Sex Differences in Leukemia.Medical sciences (Basel, Switzerland) · 2026
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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

15 authors.

Kexin SunNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hongliang WuDepartment of Anesthesiology, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Qian ZhuNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Kai GuShanghai Municipal Center for Disease Control & Prevention, Shanghai, 201107, China.
Hui WeiState Key Laboratory of Experimental Haematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Haematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Shaoming WangNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Li LiNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Chunxiao WuShanghai Municipal Center for Disease Control & Prevention, Shanghai, 201107, China.
Ru ChenNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yi PangShanghai Municipal Center for Disease Control & Prevention, Shanghai, 201107, China.
Bingfeng HanNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hongmei ZengNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Meicen LiuNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Rongshou ZhengNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Wenqiang WeiNational Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Haematologic malignancies accounted for 6.6% of total cancer cases and 7.2% of total cancer-related deaths worldwide in 2022. We implemented a novel approach to estimate the lifetime risk of developing and dying from various types of haematologic malignancies at the global, regional and country-specific perspectives in 2022. Methods: We retrieved incidence and mortality rates for Hodgkin lymphoma (HL), Non-Hodgkin lymphoma (NHL), multiple myeloma (MM) and leukaemia from GLOBOCAN 2022 of 185 countries, along with the national population statistics and all-cause mortality data sourced from the United Nations. For trend analysis, we obtained consecutive cancer registry data spanning from 2003 to 2017 from the Cancer Incidence in Five Continents (CI5) Plus database. After quality control, datasets from 30 countries were included. We used the "adjusted for multiple primaries (AMP)" method to calculate the lifetime risk of incidence (LRI) and mortality (LRM) by cancer type, selected age interval, sex, country and geographic region. Findings: In 2022, the global lifetime risk of incidence (LRI) and mortality (LRM) for all haematologic malignancies was 1.67% and 0.98%, respectively. LRI was highest for NHL, whereas the LRM was highest for leukaemia. On a general level, males exhibited higher LRI and LRM compared to females. Both LRI and LRM increased with higher Human Development Index (HDI) levels. The LRI and LRM for haematologic malignancies were notably high in regions such as Australia/New Zealand, Northen America, as well as Northen, Western and Southern Europe, whereas they were comparatively low in Middle, Western and Eastern Africa. We observed about 5-fold regional disparity in the LRI/LRM ratio for HL, ranging from 1.50 in Middle Africa to 7.67 in Western Europe. Individuals aged 60 and above still faced 71.26% and 78.57% remaining risks for developing and dying from all haematologic malignancies. Among the 185 countries studied, NHL was the haematologic malignancy with the highest LRI in 68.65% of the countries. However, leukaemia had the highest LRM in 58.92% of these countries. MM exhibited the highest LRI and LRM particularly in islands surrounding the Caribbean Sea. Out of 30 countries with eligible consecutive cancer surveillance data, 24 exhibited significant upward trends in LRI of all haematologic malignancies, with AAPCs ranging from 0.5% in USA to 4.3% in Latvia. 25 countries showed significant upward trends in LRM, with AAPCs ranging from 1.0% in USA to 5.5% in Republic of Korea. Interpretation: The global lifetime risks of haematologic malignancies exhibit considerable variations across different world regions, necessitating country-specific and targeted decision-making strategies. In contrast to traditional indicators, the compositive lifetime risks provide intuitive measures with profound public health implications, offering fresh insights into the development of regional disease prevention and control strategies. Funding: CAMS Innovation Funds for Medical Sciences (No. 2021-I2M-1-061, No. 2021-I2M-1-011).

Indexed as

Haematologic malignanciesHodgkin lymphomaIncidenceLeukaemiaLifetime riskMortalityMultiple myelomaNon-hodgkin lymphoma

Identifiers

PMID40256772
PMCPMC12008131

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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.