Evidence map›Paper›PMID 42491643›Full record

ArticleiScience2026

Mapping global cancer risk hotspots from environmental pesticides.

Yabi Huang, Zijian Li

Abstract read
In one paragraph

Article in iScience, 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

2 authors.

Yabi HuangSchool of Biosafety, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong 518107, China.
Zijian LiSchool of Biosafety, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong 518107, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pesticides remain widely detected in the environment and continue to pose long-term cancer risks to human populations. Here, we developed a global framework to quantify population-level cancer risk (CR) from 22 carcinogenic pesticides by integrating contamination in air, soil, surface water, and groundwater with oral, inhalation, and dermal exposure pathways. Using global monitoring data from 2010 to 2020, we mapped CR values across 205 countries and regions under basic and advanced exposure scenarios. Risks show marked spatial heterogeneity, with hotspots in parts of Asia, Africa, and the Americas exceeding (CR > 10

Indexed as

cancer risk assessmenthuman healthpesticide risk management

Identifiers

PMID42491643
PMCPMC13378364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.