Evidence map›Paper›PMID 42626119›Full record

ArticleACS ES&T air2026

Novel Approach to Assess the Toxicity of PM

Micol Introna, Ana Teresa Juárez-Facio, Naga Veera Srikanth Vallabani, Minghui Tu, Michael Norman, Sanna Silvergren, Andrea Colombo, Valentina Liboni, Bozhena Tsyupa, Alessandro Mancini and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS ES&T air, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Micol IntronaDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-5564-1994
Ana Teresa Juárez-FacioDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.
Naga Veera Srikanth VallabaniInstitute of Environmental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden.
Minghui TuDepartment of Machine Design, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8000-0013
Michael NormanEnvironment and Health Administration, SLB-analys, 104 20 Stockholm, Sweden.
Sanna SilvergrenEnvironment and Health Administration, SLB-analys, 104 20 Stockholm, Sweden.
Andrea ColomboDepartment of Environmental Health Sciences, Istituto di Ricerche Farmacologiche ″Mario Negri″- IRCCS, 20156 Milano, Italy.
Valentina LiboniDepartment of Environmental Health Sciences, Istituto di Ricerche Farmacologiche ″Mario Negri″- IRCCS, 20156 Milano, Italy.
Bozhena TsyupaGCF Research & Development, Brembo NV, 24040 Stezzano, BG, Italy.
Alessandro ManciniGCF Research & Development, Brembo NV, 24040 Stezzano, BG, Italy.ORCID https://orcid.org/0000-0003-2014-0011
Ulf OlofssonDepartment of Machine Design, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden.
Sarah Sulamith SteimerDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1955-9467
Hanna Lovisa KarlssonInstitute of Environmental Medicine, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID https://orcid.org/0000-0002-4613-574X
Karine ElihnDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subway stations are enclosed environments that can have elevated concentrations of PM

Indexed as

air−liquid interfaceinflammationparticulate matterrailwaysubmerged exposuresubway

Identifiers

PMID42626119
PMCPMC13491529

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.