Evidence map›Paper›PMID 28202265›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2017

Association between chronic exposure to air pollution and mortality in the acute respiratory distress syndrome.

Barret Rush, Robert C McDermid, Leo Anthony Celi, Keith R Walley, James A Russell, John H Boyd

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Long-term exposure to NOEnvironment international · 2020
    Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Environmental Factors.Critical care clinics · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Low to Moderate Air Pollutant Exposure and Acute Respiratory Distress Syndrome after Severe Trauma.American journal of respiratory and critical care medicine · 2019
    Article
  17. Review
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

6 authors.

Barret RushDivision of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada; Harvard T.H. Chan School of Public Health, Harvard University, 677 Huntington Ave, Boston, MA 02115, USA; Centre for Heart Lung Innovation (HLI), University of British Columbia, Vancouver, Canada. Electronic address: bar890@mail.harvard.edu.
Robert C McDermidDepartment of Critical Care Medicine, Surrey Memorial Hospital, Surrey, BC, Canada. Electronic address: robmcdermid@telus.net.
Leo Anthony CeliBeth Israel Deaconess Medical Center, Boston, MA, USA. Electronic address: lceli@bidmc.harvard.edu.
Keith R WalleyDivision of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada; Centre for Heart Lung Innovation (HLI), University of British Columbia, Vancouver, Canada. Electronic address: Keith.Walley@hli.ubc.ca.
James A RussellDivision of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada; Centre for Heart Lung Innovation (HLI), University of British Columbia, Vancouver, Canada. Electronic address: Jim.Russell@hli.ubc.ca.
John H BoydDivision of Critical Care Medicine, St. Paul's Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada; Centre for Heart Lung Innovation (HLI), University of British Columbia, Vancouver, Canada. Electronic address: John.Boyd@hli.ubc.ca.

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205
6 · The paper itself

Abstract

The impact of chronic exposure to air pollution and outcomes in the acute respiratory distress syndrome (ARDS) is unknown. The Nationwide Inpatient Sample (NIS) from 2011 was utilized for this analysis. The NIS is a national database that captures 20% of all US in-patient hospitalizations from 47 states. Patients with ARDS who underwent mechanical ventilation from the highest 15 ozone pollution cities were compared with the rest of the country. Secondary analyses assessed outcomes of ARDS patients for ozone pollution and particulate matter pollution on a continuous scale by county of residence. A total of 8,023,590 hospital admissions from the 2011 NIS sample were analyzed. There were 93,950 patients who underwent mechanical ventilation for ARDS included in the study. Patients treated in high ozone regions had significantly higher unadjusted hospital mortality (34.9% versus 30.8%, p < 0.01) than patients in cities with control levels of ozone. After controlling for all variables in the model, treatment in a hospital located in a high ozone pollution area was associated with an increased odds of in-hospital mortality (OR 1.11, 95% CI 1.08-1.15, p < 0.01). After adjustment for all variables in the model, for each increase in ozone exposure by 0.01 ppm the OR for death was 1.07 (95% CI 1.06-1.08, p < 0.01). Similarly, for each increase in particulate matter exposure by 10 μg/m

Indexed as

AdultAgedAged, 80 and overAir PollutantsAir PollutionCitiesEnvironmental ExposureFemaleHumansMaleMiddle AgedModels, TheoreticalOzoneParticulate MatterRespiratory Distress SyndromeUnited StatesAir PollutantsOzoneParticulate Matter

Identifiers

PMID28202265
PMCPMC5683074

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.