ArticleBMC public health2022
Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed.
- Estimates of submicron particulate matter (PMThe Lancet. Planetary health · 2025Article
- Using particle dimensionality-based modeling to estimate lung carcinogenicity of 3D printer emissions.Journal of applied toxicology : JAT · 2024Article
- Gaps and future directions in research on health effects of air pollution.EBioMedicine · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany studies have reported the effects of PM
objectivesThis work aims to examine the varying associations of the incidence rate of female lung cancer with PM
methodsThe effects of PM
resultsThe change in the incidence rate of female lung cancer relative to its mean was 5.98% (95% CI: 3.40, 8.56%) for PM
conclusionsThe effect on the incidence rate of female lung cancer was greater for PM
Indexed as
Identifiers
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Registered trials
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.