Evidence map›Paper›PMID 42331512›Full record

ArticleBMJ global health2026

Impact of ambient fine particulate matter (PM

Shangkun Si, Shizhe Deng, Yueyang Zhang, Xingxin Wang, Gonglei Yue, Yiyang Sun, Hai Lu, Junyang Li, Feng Tao, Mengxuan Lin and 7 more

Abstract read
In one paragraph

Article in BMJ global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Shangkun Si *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.ORCID 0000-0002-0941-9284
Shizhe Deng *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yueyang Zhang *Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xingxin Wang *Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Gonglei YueQilu Hospital of Shandong University, Jinan, Shandong, China.
Yiyang SunFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Hai LuNanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Junyang LiFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Feng TaoFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Mengxuan LinFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhexu DongFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Bifang ZhuoFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Li LiFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Bo PangEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xinyao JinEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhihong MengFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China profmengzhihong@163.com acustone@163.com.
Jiangwei ShiFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China profmengzhihong@163.com acustone@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbient fine particulate matter (PM

methodsUsing Global Burden of Disease 2023 data, this study analysed APMP-attributable deaths and disability-adjusted life years (DALYs) via absolute numbers and age-standardised rates. The multidimensional framework included joinpoint regression, age-period-cohort (APC) modelling, Das Gupta decomposition, disease spectrum ranking and Bayesian-APC projection.

resultsIn 2023, APMP caused 2.955 million deaths in BRICS (59% of the global total). Age-standardised mortality and DALY rates remained higher than global averages and increased since 1990, contrasting with sustained declines in the G7. Substantial heterogeneity existed: India's burden was heaviest and growing, China's remained high but stabilised, while Brazil and Russia achieved marked reductions. APC modelling revealed pronounced mortality increases in older ages (especially 95+ years in China and India). Decomposition identified population ageing as the key driver in BRICS, especially China; population growth and deteriorating epidemiological conditions under high exposure drove increases in India and South Africa. Leading APMP-attributable burdens in BRICS were ischaemic heart disease, chronic obstructive pulmonary disease and intracerebral haemorrhage, unlike in the G7 where Alzheimer's disease and other dementias ranked first. Projections indicate the BRICS burden will remain above the global average by 2050, with China and India continuing to bear severe burdens.

conclusionBRICS is the epicentre of global APMP-attributable burden. The widening gap with the G7 underscores divergent environmental health governance paradigms. Findings call for differentiated strategies within BRICS and enhanced transnational collaboration to curb APMP burden rises and bridge global environmental health equity gaps.

Indexed as

Air PollutionEnvironmental ExposureGlobal Burden of DiseaseParticulate MatterBrazilChinaDisability-Adjusted Life YearsHumansIndiaRussiaSouth AfricaParticulate MatterEnvironmental healthEpidemiologyGlobal HealthHealth policies and all other topicsPublic Health

Identifiers

PMID42331512
PMCPMC13289027

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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.