Evidence map›Paper›PMID 39254857›Full record

ArticleHerz2025

Burden of disease in Germany attributed to ambient particulate matter pollution : Findings from the Global Burden of Disease Study 2019.

Omar Hahad, Jos Lelieveld, Sadeer Al-Kindi, Volker H Schmitt, Lukas Hobohm, Karsten Keller, Martin Röösli, Marin Kuntic, Andreas Daiber

Abstract read
In one paragraph

Article in Herz, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Omar HahadDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany. omar.hahad@unimedizin-mainz.de.ORCID http://orcid.org/0000-0001-7823-7671
Jos LelieveldAtmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany.
Sadeer Al-KindiHouston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
Volker H SchmittDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Lukas HobohmDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Karsten KellerDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Martin RöösliSwiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland.
Marin KunticDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Andreas DaiberDepartment of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAmbient fine particulate matter pollution with a diameter less than 2.5 micrometers (PM

methodsData from the Global Burden of Disease (GBD) Study 2019 were used to investigate disability-adjusted life-years (DALYs), years of life lost (YLLs), years lived with disability (YLDs), and deaths attributed to ambient PM

resultsIn 2019, ambient PM

conclusionAmbient PM

Indexed as

Air PollutionCost of IllnessEnvironmental ExposureParticulate MatterAdultAgedDisability-Adjusted Life YearsFemaleGermanyGlobal Burden of DiseaseHumansMaleMiddle AgedQuality-Adjusted Life YearsRisk FactorsYoung AdultParticulate MatterAir pollutionChronic noncommunicable diseasesDisabilityGlobal Burden of Disease Study 2019Mortality

Identifiers

PMID39254857
PMCPMC11772504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.