Evidence map›Paper›PMID 42252556›Full record

ArticleInternational journal of cancer2026

High-Throughput Geocoding to Assess Short-Term Air Pollution in Correlation With Mortality in a French Cancer Patient Cohort.

Loice Pokam, Joséphine Bocquet, Nadia Hégarat, Julie Perlbarg-Samson, Thomas Balezeau, Maud Milder, Bastien Rance, Hector Countouris, Julien Guerin, Flavien Gilles and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of cancer, 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

13 authors.

Loice PokamThorax Institute Curie-Montsouris, Hôpital Institut Curie, Paris, France.
Joséphine BocquetThorax Institute Curie-Montsouris, Hôpital Institut Curie, Paris, France.
Nadia HégaratThorax Institute Curie-Montsouris, Hôpital Institut Curie, Paris, France.
Julie Perlbarg-SamsonMedical Informatics Department, Institut Curie, Paris, France.
Thomas BalezeauData Department, Institut Curie, Paris, France.
Maud MilderData Department, Institut Curie, Paris, France.
Bastien RanceDepartment of Medical Informatics, Hôpital Européen Georges Pompidou, Assistance publique-Hôpitaux de Paris, Paris, France.
Hector CountourisDepartment of Medical Informatics, Hôpital Européen Georges Pompidou, Assistance publique-Hôpitaux de Paris, Paris, France.
Julien GuerinData Department, Institut Curie, Paris, France.
Flavien GillesData Department, Institut Curie, Paris, France.
Jean GaudartIRD, INSERM, SESSTIM, UMR1252, ISSPM, AP-HM, BioSTIC, Biostatistics & ICT Unit, Aix Marseille University, Marseille, France.
Nicolas GirardThorax Institute Curie-Montsouris, Hôpital Institut Curie, Paris, France.
Clémence BasseThorax Institute Curie-Montsouris, Hôpital Institut Curie, Paris, France.ORCID https://orcid.org/0000-0002-0523-0310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution significantly affects human health and mortality, including cancer-related deaths. However, methodological approaches and spatial precision often vary across studies. Implementing geomatic tools to investigate mortality in vulnerable populations such as cancer patients may enhance understanding of environmental impacts. This study aimed to assess the relationship between short-term air pollution exposure and mortality among cancer patients in France. A retrospective cohort of 44,268 consecutive cancer patients (2017-2020) was analyzed using a geomatic framework at fine spatial granularity. Air quality data (PM

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureNeoplasmsAgedFemaleFranceHumansMaleMiddle AgedParticulate MatterRetrospective StudiesAir PollutantsParticulate Matterair pollutioncancerexposomegeomaticmortality

Identifiers

PMID42252556
PMCPMC13495927

What OpenQuestion holds

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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.