Evidence map›Paper›PMID 39170963›Full record

ArticleChinese medical journal pulmonary and critical care medicine2024

Light at night and lung cancer risk: A worldwide interdisciplinary and time-series study.

Runchen Wang, Qixia Wang, Jianfu Li, Jianrong Zhang, Shixuan Lyu, Wenhao Chi, Zhiming Ye, Xuanzhuang Lu, Ying Shi, Yubin Wang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chinese medical journal pulmonary and critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Circadian rhythms and lung cancer biology and immunotherapy: Emerging opportunities and challenges.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  2. Article
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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

15 authors.

Runchen WangDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Qixia WangDepartment of Respiratory Disease, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China.
Jianfu LiDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Jianrong ZhangCentre for Cancer Research & Department of General Practice, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne; Victorian Comprehensive Cancer Centre, Melbourne, Victoria 3010, Australia.
Shixuan LyuDepartment of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK.
Wenhao ChiAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
Zhiming YeDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Xuanzhuang LuDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Ying ShiState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China.
Yubin WangGNSS Research Center, Wuhan University, Wuhan, Hubei 430079, China.
Xinjian WuDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Ruiyu HuDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Mónica Pérez-RíosPreventive Medicine and Public Health Department, University of Santiago de Compostela; CIBER de Epidemiología y Salud Pública (CIBERESP); Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Galicia 15782, Spain.
Jianxing HeDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.
Wenhua LiangDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, Guangdong 510120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Light at night (LAN) has become a concern in interdisciplinary research in recent years. This global interdisciplinary study aimed to explore the exposure-lag-response association between LAN exposure and lung cancer incidence. Methods: LAN data were obtained from the Defense Meteorological Satellite Program's Operational Linescan System. Data of lung cancer incidence, socio-demographic index, and smoking prevalence of populations in 201 countries/territories from 1992 to 2018 were collected from the Global Burden of Disease Study. Spearman correlation tests and population-weighted linear regression analysis were used to evaluate the correlation between LAN exposure and lung cancer incidence. A distributed lag nonlinear model (DLNM) was used to assess the exposure-lag effects of LAN exposure on lung cancer incidence. Results: The Spearman correlation coefficients were 0.286-0.355 and the population-weighted linear regression correlation coefficients were 0.361-0.527. After adjustment for socio-demographic index and smoking prevalence, the Spearman correlation coefficients were 0.264-0.357 and the population-weighted linear regression correlation coefficients were 0.346-0.497. In the DLNM, the maximum relative risk was 1.04 (1.02-1.06) at LAN exposure of 8.6 with a 2.6-year lag time. After adjustment for socio-demographic index and smoking prevalence, the maximum relative risk was 1.05 (1.02-1.07) at LAN exposure of 8.6 with a 2.4-year lag time. Conclusion: High LAN exposure was associated with increased lung cancer incidence, and this effect had a specific lag period. Compared with traditional individual-level studies, this group-level study provides a novel paradigm of effective, efficient, and scalable screening for risk factors.

Indexed as

Distributed lag nonlinear model (DLNM)Light at nightLung cancerMelatoninSatellite imagery

Identifiers

PMID39170963
PMCPMC11332862

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