Evidence map›Paper›PMID 42381905›Full record

ArticleFrontiers in public health2026

Lung adenocarcinoma risk in an area with seasonal high PM

Pak Thaichana, Patumrat Sripan, Sawaeng Kawichai, Imjai Chitapanarux, Donsuk Pongnikorn, Weerawat Ukranun, Karnchana Daoprasert, Narate Waisri, Puttachart Maneesai, Kittipan Rerkasem and 1 more

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Article in Frontiers in public health, 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

11 authors.

Pak Thaichana *Office of Research Administration, Chiang Mai University, Chiang Mai, Thailand.
Patumrat Sripan *Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Sawaeng KawichaiResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Imjai ChitapanaruxChiang Mai Cancer Registry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Donsuk PongnikornDepartment of Medical Services, Ministry of Public Health, Bangkok, Thailand.
Weerawat UkranunCenter Registry Unit, Lampang Cancer Hospital, Lampang, Thailand.
Karnchana DaoprasertCenter Registry Unit, Lampang Cancer Hospital, Lampang, Thailand.
Narate WaisriChiang Mai Cancer Registry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Puttachart ManeesaiChiang Mai Cancer Registry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Kittipan RerkasemResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Worawut SrisukkhamDepartment of Computer Science, Faculty of science, Chiang Mai University, Chaing Mai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Air pollution exposure has been associated with increased lung cancer risk globally. However, evidence linking fine particulate matter with an aerodynamic diameter of ≤2.5 micrometers (PM Methods: A population-based study was conducted across eight upper northern provinces (103 districts) of Thailand. Daily PM Results: Among 12,484 lung cancer cases, cell type was identified in 5,465 cases, of which 3,318 (60.7%) were lung adenocarcinoma, with a median age of 64 years (IQR: 57-71). A significant positive association was observed between 10 μg/m Conclusion: This finding highlights PM

Indexed as

Adenocarcinoma of LungAir PollutantsAir PollutionEnvironmental ExposureLung NeoplasmsParticulate MatterAgedFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSeasonsThailandAir PollutantsParticulate Matterlung adenocarcinomaPM2.5 exposurepopulation-based studySoutheast Asiaupper northern Thailand

Identifiers

PMID42381905
PMCPMC13315168

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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.