Evidence map›Paper›PMID 40342503›Full record

ArticleFrontiers in public health2025

Global, regional, and national burden of low back pain in working-age population from 1990 to 2021 and projections for 2050.

Cifeng Zhang, Bing Lv, Qian Yi, Guicong Qiu, Fengling Wu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 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.

Cifeng Zhang *The First Affiliated Hospital of Jinan University, Guangzhou, China.
Bing Lv *The Fifth People's Hospital of Longgang District, Shenzhen, China.
Qian YiThe First Affiliated Hospital of Jinan University, Guangzhou, China.
Guicong QiuThe Fifth People's Hospital of Longgang District, Shenzhen, China.
Fengling WuThe First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low back pain (LBP) is a leading cause of disability worldwide, especially among working-age group. This study evaluates the global, regional, and national burden of LBP among individuals aged 15-64 utilizing data from the Global Burden of Disease (GBD) 2021 study. Methods: We assessed trends in incidence, prevalence, and disability-adjusted life years (DALYs) for LBP from 1900 to 2021. Age-standardized rates (ASRs) were calculated, and joinpoint regression and decomposition analyses were used to identify key drivers. Future trends were projected through 2050. Results: The prevalence of LBP in working-age group has risen to 452.8 million cases globally, a 52.66% increase since 1990. South Asia reported the highest absolute number of cases, while Central and Eastern Europe showed the highest ASRs. Across all regions, women consistently exhibited higher incidence, prevalence, and DALYs than men. Decomposition analysis revealed that population growth was the main factor contributing to the rising burden. Projections indicate that LBP cases will continue increasing through 2050, particularly among women, although ASRs are expected to decline. Conclusion: The burden of LBP among working-age group is growing due to population expansion. Despite declining ASRs, substantial regional and gender disparities remain, highlighting the need for targeted public health strategies.

Indexed as

Cost of IllnessGlobal Burden of DiseaseGlobal HealthLow Back PainAdolescentAdultDisability-Adjusted Life YearsFemaleForecastingHumansIncidenceMaleMiddle AgedPrevalenceYoung AdultDALYsglobal burden of diseaseincidencelow back painprevalence

Identifiers

PMID40342503
PMCPMC12058504

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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.