Evidence map›Paper›PMID 41487586›Full record

SynthesisFrontiers in oncology2025

Mapping three decades of air pollution-lung cancer research: trends, hotspots, and networks (1990-2025).

Haixia Fan, Limantian Wang, Lu Zhai, Shudan Deng, Yan Li, Huiyan Niu, Bomeng Zhao, Jie Gao, Xiaoling Gao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2025. 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

9 authors.

Haixia Fan *Department of Sleep Center, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Limantian Wang *Second College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
Lu ZhaiSecond College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
Shudan DengSecond College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
Yan LiSecond College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
Huiyan NiuSecond College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
Bomeng ZhaoSecond College of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, China.
Jie GaoShanxi Medical University, Taiyuan, Shanxi, China.
Xiaoling GaoDepartment of Sleep Center, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between air pollution and lung cancer has attracted considerable attention from researchers worldwide. To systematically assess the scholarly landscape and pinpoint research fronts, this study employs bibliometric analysis to delineate global trends, collaborative networks, and key publications within this field. Methods: Publications from 1990 to 2025 were extracted from Web of Science Core Collection and Scopus databases. Bibliometric tools including VOSViewer, Citespace, and Bibliometrix R were used to examine trends, key contributors, research themes, and prominent journals. Results: Among 4,238 publications, citation rates rose significantly. China produced the most publications, with leading institutions such as Harvard University and the Chinese Academy of Sciences. Key researchers included Lan Q, Rothman N, and Vermeulen R. Major journals were Environmental Health Perspectives and Atmospheric Environment. Frequently used keywords like "Lung Cancer" and "Particulate Matter" indicate core themes, while emerging terms such as "Covid-19" and "Machine Learning" reflect evolving interests. Conclusion: Fine particulate matter is an established environmental risk factor for lung cancer, and research on polycyclic aromatic hydrocarbons and asbestos remains active. The field has shifted from exposure assessment to mechanistic investigations focusing on oxidative stress, gene expression, and machine learning applications, defining key future research directions.

Indexed as

air pollutionbibliometric analysislung cancerPM2.5risk factors

Identifiers

PMID41487586
PMCPMC12756124

What Socratic 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 Socratic graph.