Evidence map›Paper›PMID 38858710›Full record

ArticleEnvironmental health : a global access science source2024

Air pollution and survival in patients with malignant mesothelioma and asbestos-related lung cancer: a follow-up study of 1591 patients in South Korea.

Da-An Huh, Yun-Hee Choi, Lita Kim, Kangyeon Park, Jiyoun Lee, Se Hyun Hwang, Kyong Whan Moon, Min-Sung Kang, Yong-Jin Lee

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Dynamic Associations between Ambient PMEnvironment & health (Washington, D.C.) · 2026
    Article
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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

9 authors.

Da-An HuhInstitute of Health Sciences, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea. black1388@korea.ac.kr.
Yun-Hee ChoiDepartment of Ophthalmology, Korea University College of Medicine, Anam-ro 145, Seongbuk- gu, Seoul, 02841, South Korea.
Lita KimDepartment of Health and Safety Convergence Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
Kangyeon ParkDepartment of Health and Safety Convergence Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
Jiyoun LeeSchool of Health and Environmental Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
Se Hyun HwangSchool of Health and Environmental Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
Kyong Whan MoonL-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
Min-Sung KangEnvironmental Health Center for Asbestos, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan-si, 31151, South Korea. kms83korea03@hanmail.net.
Yong-Jin LeeEnvironmental Health Center for Asbestos, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan-si, 31151, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite significant advancements in treatments such as surgery, radiotherapy, and chemotherapy, the survival rate for patients with asbestos-related cancers remains low. Numerous studies have provided evidence suggesting that air pollution induces oxidative stress and inflammation, affecting acute respiratory diseases, lung cancer, and overall mortality. However, because of the high case fatality rate, there is limited knowledge regarding the effects of air pollution exposures on survival following a diagnosis of asbestos-related cancers. This study aimed to determine the effect of air pollution on the survival of patients with malignant mesothelioma and asbestos-related lung cancer.

methodsWe followed up with 593 patients with malignant mesothelioma and 998 patients with lung cancer identified as asbestos victims between 2009 and 2022. Data on five air pollutants-sulfur dioxide, carbon monoxide, nitrogen dioxide, fine particulate matter with a diameter < 10 μm, and fine particulate matter with a diameter < 2.5 μm-were obtained from nationwide atmospheric monitoring stations. Cox proportional hazard models were used to estimate the association of cumulative air pollutant exposure with patient mortality, while adjusting for potential confounders. Quantile-based g-computation was used to assess the combined effect of the air pollutant mixture on mortality.

resultsThe 1-, 3-, and 5-year survival rates for both cancer types decreased with increasing exposure to all air pollutants. The estimated hazard ratios rose significantly with a 1-standard deviation increase in each pollutant exposure level. A quartile increase in the pollutant mixture was associated with a 1.99-fold increase in the risk of malignant mesothelioma-related mortality (95% confidence interval: 1.62, 2.44). For lung cancer, a quartile increase in the pollutant mixture triggered a 1.87-fold increase in the mortality risk (95% confidence interval: 1.53, 2.30).

conclusionThese findings support the hypothesis that air pollution exposure after an asbestos-related cancer diagnosis can negatively affect patient survival.

Indexed as

Air PollutantsAir PollutionLung NeoplasmsMesothelioma, MalignantAdultAgedAged, 80 and overAsbestosEnvironmental ExposureFemaleFollow-Up StudiesHumansMaleMesotheliomaMiddle AgedParticulate MatterAir PollutantsAsbestosParticulate MatterAir pollutionExposure mixturesLung cancerMalignant mesotheliomaSurvival analysis

Identifiers

PMID38858710
PMCPMC11163745

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.