Evidence map›Paper›PMID 39992428›Full record

ArticleAnnals of hematology2025

Global, regional and national temporal trends in incidence and mortality of non-Hodgkin lymphoma from 1992 to 2021: an age-period-cohort analysis.

Shanshan Tang, Jin Cao, Denan Jiang, Longzhu Zhu, Zeyu Luo, Shiyi Shan, Jiali Zhou, Jiayao Ying, Jing Wu, Peige Song and 1 more

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Risk Factors for Secondary Immunodeficiency in the Aged.The journal of allergy and clinical immunology. In practice · 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

11 authors.

Shanshan TangThe Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Jin CaoDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Denan JiangThe Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Longzhu ZhuDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zeyu LuoDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shiyi ShanDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiali ZhouDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiayao YingDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jing WuDepartment of Big Data in Health Science, School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Peige SongCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. peigesong@zju.edu.cn.
Wei LiThe Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China. liwei69@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to provide an overview of temporal trends in incidence and mortality of non-Hodgkin lymphoma (NHL) from 1992 to 2021 at global, regional, and national levels, with a special focus on their associations with age, period and cohort.

methodsData were obtained from the Global Burden of Disease Study 2021. We presented temporal trends in NHL incidence and mortality for the world and 204 countries and territories from 1992 to 2021. An age-period-cohort (APC) model was adopted to estimate net drifts (overall annual percentage change), local drifts (annual percentage change in each age group), longitudinal age curves (expected longitudinal age-specific rate), and period (cohort) relative risks.

resultsThe global age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) for NHL were 7.14 (95% uncertainty interval [UI]: 6.58, 7.66) and 3.19 (95% UI: 2.93, 3.44) per 100,000 population in 2021, respectively. From 1992 to 2021, the global net drift of incidence rate was 0.11% (95% confidential intervals [CI]: 0.07%, 0.15%) per year, ranging from - 0.60% (95% CI: -0.66%, -0.54%) in high socio-demographic index (SDI) region to 1.51% (95% CI: 1.46%, 1.57%) in middle SDI region, with 100 countries and territories presenting increasing trends. Similar patterns can be found in the net drift of mortality rate, with 19 countries and territories showing upward trends. Age effects illustrated that incidence and mortality risks progressively increased with advancing age across different SDI regions. Period effects on incidence presented rising risks in high-middle, middle and low-middle SDI regions, whereas on mortality exhibited persistent downward trends in high and high-middle SDI regions. High-middle and middle SDI regions presented initially unfavourable and then favourable trends in incidence and mortality risks across successive birth cohorts. A strong heterogeneity was found in age, period and cohort effects on incidence and mortality across countries.

conclusionsDespite observing an increasing temporal trend in NHL incidence, coupled with a declining trend in mortality, NHL represented a substantial public health challenge worldwide. Temporal trends in NHL were not completely commensurate with socioeconomic development and varied widely across countries. Timely intervention should be conducted, especially for middle-aged and aged individuals.

Indexed as

Global Burden of DiseaseLymphoma, Non-HodgkinAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolCohort StudiesHumansIncidenceMiddle AgedYoung AdultAge-period-cohort effectsGlobal burden of diseaseIncidenceMortalityNon-Hodgkin lymphoma

Identifiers

PMID39992428
PMCPMC12031885

What OpenQuestion holds

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LicenceCC BY
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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.