Evidence map›Paper›PMID 39854471›Full record

ArticleScience advances2025

Improved daily PM

Ayako Kawano, Makoto Kelp, Minghao Qiu, Kirat Singh, Eeshan Chaturvedi, Sunil Dahiya, Inés Azevedo, Marshall Burke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Seasonal predictability of winter PMScience advances · 2026
    Article
  2. Disparity in non-communicable disease burden attributable to ambient PMJournal of exposure science & environmental epidemiology · 2026
    Article
  3. Ambient PMCurrent environmental health reports · 2026
    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

8 authors.

Ayako KawanoEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA, USA.ORCID 0000-0003-4054-1111
Makoto KelpDepartment of Earth System Science, Stanford University, Stanford, CA, USA.ORCID 0000-0003-0451-3439
Minghao QiuSchool of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA.
Kirat SinghEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA, USA.ORCID 0000-0002-5643-7362
Eeshan ChaturvediEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA, USA.
Sunil DahiyaCentre for Research on Energy and Clean Air, New Delhi, Delhi, India.ORCID 0000-0002-3404-0081
Inés AzevedoDepartment of Energy Science and Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4755-8656
Marshall BurkeDoerr School of Sustainability, Stanford University, Stanford, CA, USA.ORCID 0000-0003-4288-5858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor ambient air quality poses a substantial global health threat. However, accurate measurement remains challenging, particularly in countries such as India where ground monitors are scarce despite high expected exposure and health burdens. This lack of precise measurements impedes understanding of changes in pollution exposure over time and across populations. Here, we develop open-source daily fine particulate matter (PM

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringParticulate MatterHumansIndiaMachine LearningSocioeconomic FactorsAir PollutantsParticulate Matter

Identifiers

PMID39854471
PMCPMC11759042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.