Evidence map›Paper›PMID 39655597›Full record

ArticleSarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG2024

Comparing the utility of lung function parameters and fractional exhaled nitric oxide in predicting lung cancer.

Hongli Cao, Xianyang Chen, Yige Song, Teng Xue, Zhongwen Xue, Guosheng Zhang, Kun Wang, Zijin Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG, 2024. 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. 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

8 authors.

Hongli CaoEmergency department, Beijing Rehabilitation Hospital, Capital Medical University, China.
Xianyang ChenBao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.
Yige SongBao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.
Teng XueBao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.
Zhongwen XueEmergency department, Beijing Rehabilitation Hospital, Capital Medical University, China.
Guosheng ZhangEmergency department, Beijing Rehabilitation Hospital, Capital Medical University, China.
Kun WangEmergency department, Beijing Rehabilitation Hospital, Capital Medical University, China.
Zijin LiuOrthopedics department, Beijing Rehabilitation Hospital, Capital Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the potential clinical factors that may be associated with the incidence of lung cancer. A total of 150 individuals were enrolled in this cohort study, of which 78 were diagnosed with lung cancer. The results of this study revealed some interesting findings. Specifically, male sex, older age, and lower BMI were found to be significantly associated with an increased risk of developing lung cancer. In contrast, several pulmonary function measures, including FEV1/FVC ratio, FVC, and FEV1, were significantly associated with a decreased risk of lung cancer. Additionally, higher levels of Feno were found to be significantly associated with an increased risk of lung cancer. These findings may be useful in developing strategies for the prevention and management of lung cancer, particularly for individuals with these risk factors. Further research is needed to validate these findings and explore the underlying mechanisms behind these associations. Overall, this study provides valuable insights into the potential clinical factors that may be associated with lung cancer incidence, and it highlights the importance of early detection and prevention strategies.

Identifiers

PMID39655597
PMCPMC11708948

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Registered trials

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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.