ArticleNature medicine2025
Hospital admissions attributable to reduced air pollution due to clean-air policies in China.
Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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
16 citing papers in PubMed.
- Black carbon as a major contributor to ambient PMEco-Environment & Health · 2026Article
- Sulfur enrichment in aerosol particles during haze and dust periods in urban Beijing.iScience · 2026Article
- Smoking, Exhaled Carbon Monoxide, and Risk of Parkinson Disease.JAMA neurology · 2026Article
- Health Risk of Fine Particulate Matter Across China with a Pollutant-Specific Index from 2013 to 2023.Environmental science & technology · 2026Article
- Exploring China's Clean Air Act and associated cardiovascular disease risk: a prospective, quasi-experimental, and causal inference modelling study.The Lancet. Planetary health · 2026Article
- Spatial heterogeneity in area-level environmental context of hospital-based congenital structural anomaly burden in Southwest China: a retrospective study from a provincial pediatric referral center.World journal of pediatrics : WJP · 2026Article
- Thirty-year changes and future tendencies in Asian burden of tracheal, bronchus, and lung cancer: insights from the Global Burden of Disease Study.Journal of thoracic disease · 2026Article
- Spatiotemporal Trends in Mortality Burden from Suicide Associated with Short-Term Exposures to PMEnvironment & health (Washington, D.C.) · 2026Article
- Mega-Events, Air Pollution and Health Outcomes: A Systematic Review.Antioxidants (Basel, Switzerland) · 2026Review
- Associations between non-optimum temperatures and cardiovascular hospital admissions and effect modification by ambient particulate air pollution: a two-stage time-series study in China.The Lancet regional health. Western Pacific · 2026Article
- Risk of PMiScience · 2026Article
- Estimation of the global chronic obstructive pulmonary disease attributable to air pollution and projection in 2030: an analysis for the global burden of disease study 2021.Respiratory research · 2026Article
- Article
- Long-term exposure to fine particulate matter constituents and incident stroke risk among middle-aged and older adults in China: a cohort study.Frontiers in public health · 2026Article
- Forecasting Daily Ambient PMToxics · 2025Article
- Identification and Time Series Analysis of PMToxics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors.
Funding
Abstract
The Air Pollution Prevention and Control Action Plan (APPCAP) is considered to be the most stringent air pollution control policy in China implemented since 2013. This policy is a milestone in China to mitigate serious air pollution. However, health benefits attributable to reduced fine-particulate air pollution after the implementation of the APPCAP have not been quantitatively estimated on a PM
Indexed as
Identifiers
40087514What OpenQuestion holds
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.