Evidence map›Paper›PMID 39367168›Full record

ArticleScientific reports2024

Evidence of the association between asthma and lung cancer risk from mendelian randomization analysis.

Lingling Ye, Fen Wang, Hao Wu, Yihang Yuan, Quan'an Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Circadian Rhythm of Asthma Immune Metabolism.Journal of immunology research · 2025
    Review
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

5 authors.

Lingling YeDepartment of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital with Nanjing Medical University, 169 Hushan Road, Dongshan Street, Nanjing, 211000, Jiangsu, China.
Fen WangDepartment of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital with Nanjing Medical University, 169 Hushan Road, Dongshan Street, Nanjing, 211000, Jiangsu, China.
Hao WuDepartment of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital with Nanjing Medical University, 169 Hushan Road, Dongshan Street, Nanjing, 211000, Jiangsu, China.
Yihang YuanDepartment of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital with Nanjing Medical University, 169 Hushan Road, Dongshan Street, Nanjing, 211000, Jiangsu, China.
Quan'an ZhangDepartment of Oncology, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital with Nanjing Medical University, 169 Hushan Road, Dongshan Street, Nanjing, 211000, Jiangsu, China. quananzhangjn@163.com.

Funding

the Research and Development Fund of Kangda College of Nanjing Medical University KD2021KYJJZD026
6 · The paper itself

Abstract

Asthma and lung cancer are both significant public health concerns worldwide. Previous observational studies have indicated a potential link between asthma and an increased risk of lung cancer, whereas the causal relationship remains uncertain. We aimed to investigate the potential causal relationship between asthma and lung cancer risk utilizing Mendelian randomization (MR) design.The present study employed a two-sample MR analysis utilizing summary statistics from genome-wide association studies (GWAS) with European descent of asthma and lung cancer. The MR analysis was performed using inverse variance weighting (IVW), supplemented with MR-Egger regression and weighted median method to investigate the potential causality between asthma and lung cancer. Furthermore, Sensitivity analyses were also conducted to ensure the reliability of the findings. The MR analysis showed that genetically predicted asthma had suggestive causal association with the elevated risk of lung cancer [odds ratio (OR), 1.05 (95%Cl,1.01-1.09), P = 0.01]. The consistent direction of effects observed in the three methods further supported this finding. In addition, sensitivity analyses demonstrated the reliability of the results. This study provided potential evidence supporting a causal association between asthma and lung cancer. These findings highlighted the importance of early detection and prevention strategies for lung cancer in individuals with asthma. Further research was needed to elucidate the underlying mechanisms linking asthma and lung cancer.

Indexed as

AsthmaGenome-Wide Association StudyLung NeoplasmsMendelian Randomization AnalysisPolymorphism, Single NucleotideGenetic Predisposition to DiseaseHumansOdds RatioRisk FactorsAsthmaCausal associationGWASLung cancerMR analysis

Identifiers

PMID39367168
PMCPMC11452391

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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.