Evidence map›Paper›PMID 39650792›Full record

ArticleInternational journal of general medicine2024

Analysis of the Effects of Bevacizumab Combined with Chemoradiotherapy on VEGF, bFGF, and Let-7 Levels in Non-Small Cell Lung Cancer and the Factors Influencing Therapeutic Efficacy: A Retrospective Cohort Study.

Xiang-Chong Luo, Peng Tang, Pei-Xiong Zhong

Abstract read
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Article in International journal of general medicine, 2024. 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
–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

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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.

  1. Review
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4 · The record

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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

3 authors.

Xiang-Chong Luo *Department of Cardiothoracic Surgery, The Second People's Hospital of Qujing City, Qujing City, Yunnan Province, People's Republic of China.
Peng Tang *Department of TCM Pharmacy, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu, People's Republic of China.
Pei-Xiong ZhongDepartment of Respiratory and Critical Care Medicine, Haikou Third People's Hospital, Haikou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influence of bevacizumab combined with chemoradiotherapy on VEGF, bFGF, and Let-7 in patients with non-small cell lung cancer (NSCLC), and to analyze the factors affecting its efficacy. Methods: Totally 150 patients with non-small cell lung cancer (NSCLC) treated in our hospital from November 2018 to November 2023 were retrospectively analyzed. The serum levels of VEGF, bFGF, and Let-7 were collected and compared. Patients were divided into good efficacy and poor efficacy groups based on short-term efficacy, and logistic regression analysis was used to analyze the factors affecting efficacy. Results: Before treatment, there was no significant difference in the levels of VEGF, bFGF, and Let-7 between the two groups (P>0.05). After treatment, the levels of VEGF, bFGF, and Let-7 in both groups improved compared to before treatment, and compared with the control group, the study group had lower levels of VEGF and bFGF, and higher levels of Let-7, with statistically significant differences (all P<0.05). Multifactorial logistic regression analysis revealed that the course of disease, tumor diameter, and treatment regimen were independent factors influencing the therapeutic efficacy of NSCLC (all P<0.05). Conclusion: For patients with NSCLC, the treatment regimen of bevacizumab combined with chemoradiotherapy can achieve better efficacy, with a higher objective response rate, effectively reduce the level of vascular endothelial growth factor, increase Let-7 level, and ensure safety. In addition, disease course, tumor diameter, and treatment regimen are independent factors affecting the efficacy of NSCLC. Therefore, these factors should be comprehensively considered when formulating treatment plans to ensure the best therapeutic effect.

Indexed as

adverse reactionsbevacizumabefficacyinfluencing factorsnon-small cell lung cancer

Identifiers

PMID39650792
PMCPMC11625108

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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.