Evidence map›Paper›PMID 31776122›Full record

ArticleBMJ (Clinical research ed.)2019

Short term exposure to fine particulate matter and hospital admission risks and costs in the Medicare population: time stratified, case crossover study.

Yaguang Wei, Yan Wang, Qian Di, Christine Choirat, Yun Wang, Petros Koutrakis, Antonella Zanobetti, Francesca Dominici, Joel D Schwartz

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 2 pooled it
–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

120 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. PMEnvironmental health perspectives · 2026
    Article
  4. Short-term effects of ambient PMJournal of global health · 2026
    Article
  5. Article
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  7. Atmospheric stressors and kidney diseases.Nature reviews. Nephrology · 2026
    Review
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60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yaguang WeiDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA.
Yan WangDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA.
Qian DiResearch Center for Public Health, School of Medicine, Tsinghua University, Beijing, China.
Christine ChoiratSwiss Data Science Centre (ETH Zürich and EPFL), Zürich, Switzerland.
Yun WangDepartment of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA 02115, USA.
Petros KoutrakisDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA.
Antonella ZanobettiDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA.
Francesca DominiciDepartment of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA 02115, USA fdominic@hsph.harvard.edu.ORCID 0000-0002-9382-0141
Joel D SchwartzDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and SusceptibilityR01ES028033 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LADEN, FRANCINE · 2018 to 2022
$3.5M
Cardiovascular Health and Air Pollution: A National StudyR01ES024332 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2015 to 2018
$2.5M
Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
Chronic effects of weather fluctuations: population susceptibility and adaptationR21ES024012 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2014 to 2015
$445k
NCI NIH HHS R35 CA197449NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES024332NIEHS NIH HHS R01 ES026217NIEHS NIH HHS R01 ES028033NIEHS NIH HHS R21 ES024012NIEHS NIH HHS T32 ES007069
6 · The paper itself

Abstract

objectiveTo assess risks and costs of hospital admission associated with short term exposure to fine particulate matter with diameter less than 2.5 µm (PM

designTime stratified, case crossover analyses with conditional logistic regressions adjusted for non-linear confounding effects of meteorological variables.

settingMedicare inpatient hospital claims in the United States, 2000-12 (n=95 277 169).

participantsAll Medicare fee-for-service beneficiaries aged 65 or older admitted to hospital.

main outcome measuresRisk of hospital admission, number of admissions, days in hospital, inpatient and post-acute care costs, and value of statistical life (that is, the economic value used to measure the cost of avoiding a death) due to the lives lost at discharge for 214 disease groups.

resultsPositive associations between short term exposure to PM

conclusionsNew causes and previously identified causes of hospital admission associated with short term exposure to PM

Indexed as

AgedAir PollutantsAir PollutionCosts and Cost AnalysisCross-Over StudiesEnvironmental ExposureFemaleHospitalizationHumansMaleMedicareMiddle AgedParticulate MatterRisk FactorsTime FactorsUnited StatesAir PollutantsParticulate Matter

Identifiers

PMID31776122
PMCPMC6880251

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.