Evidence map›Paper›PMID 41769535›Full record

ArticleCureus2026

The Impact of Climate Vulnerability on Cancer Incidence Among U.S. Women.

Caitlin Johnson, Cheng-I Liao, Ruolin Lorraine Jiang, Nathan Tran, Kim Duong, Amandeep Mann-Grewal, Daniel S Kapp, John K Chan

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Caitlin JohnsonGynecologic Oncology, California Pacific Medical Center Research Institute, San Francisco, USA.
Cheng-I LiaoObstetrics and Gynecology, Kaohsiung Veterans General Hospital, Kaohsiung, TWN.
Ruolin Lorraine JiangSurgery, University of California, San Francisco, San Francisco, USA.
Nathan TranGynecologic Oncology, California Pacific Medical Center Research Institute, San Francisco, USA.
Kim DuongOsteopathic Medicine, Western University of Health Sciences, Pomona, USA.
Amandeep Mann-GrewalResearch, Center for Health Systems Research, Sutter Health, Walnut Creek, USA.
Daniel S KappRadiation Oncology, Stanford University School of Medicine, Stanford, USA.
John K ChanGynecologic Oncology, California Pacific Medical Center Research Institute, San Francisco, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim While climate change and its impacts have intensified in the U.S. over the past decade, the relationship between cancer incidence and regional climate vulnerability among women, particularly racial and ethnic minorities, remains largely underexplored. Climate-related environmental exposures, such as extreme weather events, air pollution, and ultraviolet radiation, are linked to risk factors for melanoma, lung, and breast cancers, yet national-level assessments across regions with differing climate impacts are limited. Understanding how these patterns vary geographically and among populations is critical for identifying emerging health disparities. This study aimed to examine the association between cancer incidence trends and state-level climate-impact categories among U.S. women, with additional stratification by racial and ethnic groups. Methods U.S. states were categorized into three climate impact levels (high, moderate, and low) based on climate data from federal, insurance, and nonprofit reports. We used the United States Cancer Statistics data to identify 6,728,838 climate change-associated cancers (cutaneous melanoma, lung, and breast) diagnosed from 2001 to 2019. Statistical analyses were performed to examine incidence trends for these cancers. Results High climate impact states experienced larger increases in cutaneous melanoma (average annual percent change (AAPC) 2.82%; p = 0.002), lung cancer (AAPC -0.94%; p < 0.001), and breast cancer incidence (AAPC 0.34%; p = 0.008) compared to low climate impact states (cutaneous melanoma: 2.24%, p < 0.001; lung cancer: AAPC -1.34%, p < 0.001; breast cancer: -0.31%, p = 0.03). Analysis by race/ethnicity showed that breast cancer incidence in high-impact regions increased among Black (AAPC 2.29%; p = 0.001), Hispanic (AAPC 2.21%; p = 0.003), and Asian women (AAPC 0.90%; p < 0.001) but decreased among White women (AAPC -0.52%; p < 0.001). Conclusions Our results indicate that cancer incidence patterns among U.S. women vary across climate impact categories and racial groups, suggesting that climate vulnerability may contribute to persistent disparities in melanoma, lung, and breast cancer trends. Women living in higher climate-impact regions experienced less favorable incidence patterns, particularly among racial and ethnic minority populations. Although these findings are ecological in nature, they highlight population-level associations that warrant further investigation using individual-level exposure data and accounting for socioeconomic and healthcare-related factors. As climate-related hazards continue to intensify, these results underscore the importance of integrating climate vulnerability into cancer surveillance, prevention strategies, and policies aimed at reducing environmental and health inequities.

Indexed as

breast cancerbreast cancer incidencecancer incidencecancer incidence ratesclimate changeclimate change and its effect on life and healthclimate vulnerabilitylung cancermelanoma

Identifiers

PMID41769535
PMCPMC12947859

What OpenQuestion holds

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LicenceCC BY
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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.