Evidence map›Paper›PMID 40405015›Full record

ArticleDiscover oncology2025

Relationship between red cell distribution width and lung cancer: evidence from Mendelian randomization and National Health and Nutrition Examination Survey.

Yongli Liu, Jiajia Qu, Chenyang Hu, Wei Zhao, Yuxin Zhang, Yuchen Luo, Yiqing Qu

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

7 authors.

Yongli LiuDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
Jiajia QuDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
Chenyang HuDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
Wei ZhaoDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
Yuxin ZhangDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
Yuchen LuoDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
Yiqing QuDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China. quyiqing@sdu.edu.cn.

Funding

the Natural Science Foundation of Shandong Province Grant No. ZR2023QH397
6 · The paper itself

Abstract

backgroundLung cancer remains a primary contributor to cancer-related mortality globally. Red blood cell distribution width (RDW), a straightforward and cost-effective indicator, measures the variability in red blood cell size and is conventionally employed in hematological assessments for anemia differentiation. Nonetheless, limited research has explored the causal link between RDW levels and lung cancer incidence.

methodsInitially, Mendelian randomization (MR) was employed to explore the underlying causal connection between RDW and lung cancer. To ensure the robustness of the MR findings, sensitivity analyses were conducted. Following this, the National Health and Nutrition Examination Survey (NHANES) database was utilized to further substantiate the influence of RDW on the prognosis of lung cancer.

resultsThe MR analysis revealed a significant association between RDW and lung cancer risk in the European population (OR IVW 1.11, 95% CI 1.03-1.20, p = 0.006; OR Weighted-median 1.16, 95% CI 1.03-1.31, p = 0.013; OR MR-Egger 1.14, 95% CI 1.00-1.30, p = 0.059). Furthermore, findings from the NHANES database suggested that lower RDW values are associated with improved prognosis in lung cancer patients (HR 2, 95% CI 1.07-3.74, p < 0.05).

conclusionsOur study provides further evidence for the relationship between RDW levels and lung cancer, highlighting the potential significance of RDW as a biomarker for predicting lung cancer risk and prognosis.

Identifiers

PMID40405015
PMCPMC12098219

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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.