Evidence map›Paper›PMID 41889618›Full record

ArticleFrontiers in public health2026

Time-varying exposure to ambient air pollution and mortality among colon cancer patients in northern Thailand: a 15-year retrospective cohort study.

Taned Chitapanarux, Patrinee Traisathit, Pimwarat Srikummoon, Natthapat Thongsak, Nawapon Nakharutai, Salinee Thumronglaohapun, Titaporn Supasri, Phonpat Hemwan, Imjai Chitapanarux

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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. 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. 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

9 authors.

Taned ChitapanaruxDivision of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Patrinee TraisathitDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Pimwarat SrikummoonDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Natthapat ThongsakDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Nawapon NakharutaiDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Salinee ThumronglaohapunDepartment of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Titaporn SupasriAtmospheric Research Unit of National Astronomical Research Institute of Thailand, Chiang Mai, Thailand.
Phonpat HemwanDepartment of Geography, Faculty of Social Sciences, Chiang Mai University, Chiang Mai, Thailand.
Imjai ChitapanaruxNorthern Thai Research Group of Therapeutic Radiology and Oncology (NTRG-TRO), Division of Radiation Oncology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Northern Thailand experiences severe annual air pollution (PM Methods: In this 15-year retrospective cohort study, we used data on 5,018 patients with colon cancer (2003-2018) obtained from the Chiang Mai Cancer Registry. Time-varying exposure to PM Results: Over 18,650 person-years of follow-up (PYFU), 72% of patients died (mortality rate: 19.4 per 100 PYFU). Exposure to PM Conclusion: Long-term exposure to ambient PM

Indexed as

Air PollutantsAir PollutionColonic NeoplasmsEnvironmental ExposureParticulate MatterAgedFemaleHumansMaleMiddle AgedRetrospective StudiesThailandTime FactorsAir PollutantsParticulate Mattercolon cancermortality ratesPM10PM2.5Thailand

Identifiers

PMID41889618
PMCPMC13013421

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Registered trials

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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.