Evidence map›Paper›PMID 39820043›Full record

ArticleScientific reports2025

A systematic epidemiological trends analysis study in global burden of multiple myeloma and 29 years forecast.

Qianru Hou, Xinyang Li, Huanxin Ma, Di Fu, Aijun Liao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

5 authors.

Qianru HouDepartment of Hematology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, 110021, Liaoning, China.
Xinyang LiDepartment of General and Vascular Surgery, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China.
Huanxin MaDepartment of Hematology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, 110021, Liaoning, China.
Di FuDepartment of Hematology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, 110021, Liaoning, China.
Aijun LiaoDepartment of Hematology, Shengjing Hospital of China Medical University, No. 39 Huaxiang Road, Tiexi District, Shenyang, 110021, Liaoning, China. liaoaijun@sina.com.

Funding

Applied basic research program of Science and Technology Department of Liaoning Province 2023JH2/101300036
6 · The paper itself

Abstract

Multiple myeloma is a prevalent hematologic cancer. This investigation analyzes the latest global, regional, and national data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021. Data on the incidence, prevalence, disability-adjusted life years, and mortality rates of multiple myeloma, including estimates and 95% uncertainty intervals, were sourced from the 2021 Global Burden of Diseases Study. Furthermore, we explored the trends affecting the multiple myeloma burden from 1990 to 2021, breaking it down by demographic, age, and epidemiological factors. By 2021, the global incidence of multiple myeloma involved 148,754.63 reported cases, with confidence intervals ranging from 131,780.43 to 162,049.23. Worldwide, the number of mortality attributed to multiple myeloma reached 116,359.63, with the confidence interval lying between 103,078.62 and 128,470.57, and an age-standardized mortality rate of 1.37 per 100,000 individuals, the confidence interval for which was 1.22 to 1.52. There was a consistent increase in the incidence, prevalence, and disability-adjusted life years associated with multiple myeloma. Most of the disease burdens were seen in high income countries though its incidence is on the rise in low-income countries. Forecast for the years 2022-2050 showed the further increase in the incidence, prevalence, disability-adjusted life years, and age-standardized death rates of multiple myeloma.

Indexed as

Global Burden of DiseaseMultiple MyelomaAdultAgedCost of IllnessDisability-Adjusted Life YearsFemaleForecastingGlobal HealthHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsGlobal burden of Disease StudyMortalityMultiple myelomaPublic health

Identifiers

PMID39820043
PMCPMC11739580

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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.