2023
DOI: 10.3389/fphar.2023.1140771
|View full text |Cite
|
Sign up to set email alerts
|

Emerging trends and focus on immune checkpoint inhibitors for non-small cell lung cancer treatment: visualization and bibliometric analysis

Abstract: Introduction: Lung cancer is the leading cause of cancer-related deaths worldwide, and non-small cell lung carcinoma (NSCLC) accounts for approximately 80% of all cases. Immune checkpoint inhibitors (ICIs) are widely used to treat NSCLC owing to their remarkable efficacy. In this study, we analyzed the scientific collaboration network, defined the hotspots of research on the use of ICIs for NSCLC treatment, analyzed its evolution over the past few years, and forecasted the field’s future development using bibl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 52 publications
0
2
0
Order By: Relevance
“…Lung cancer is the second most common cancer type and the leading cause of cancer-related deaths worldwide ( Sung et al, 2021 ). Non-small cell lung cancer accounts for 85% of all lung cancer cases, and approximately 70% of patients with NSCLC are diagnosed when the disease is at advanced stages ( Chen et al, 2022 ; Zhang et al, 2023 ). Furthermore, choosing the optimal PD-1 therapy for patients with advanced NSCLC is crucial.…”
Section: Introductionmentioning
confidence: 99%
“…Lung cancer is the second most common cancer type and the leading cause of cancer-related deaths worldwide ( Sung et al, 2021 ). Non-small cell lung cancer accounts for 85% of all lung cancer cases, and approximately 70% of patients with NSCLC are diagnosed when the disease is at advanced stages ( Chen et al, 2022 ; Zhang et al, 2023 ). Furthermore, choosing the optimal PD-1 therapy for patients with advanced NSCLC is crucial.…”
Section: Introductionmentioning
confidence: 99%
“…Despite some methodological limitations, the approach is used to visually quantify academic achievements and their impact in many fields. To date, several bibliometric studies related to LC have been published, mainly on immunotherapy ( 15 , 16 ), radiotherapy ( 17 ), gut microbiota ( 18 ), postoperative analgesia ( 19 ), anti-programmed death-1/programmed death-ligand 1 (anti-PD-1/PD-L1) therapy ( 20 ), machine learning in NSCLC radiotherapy ( 21 ), and chronic obstructive pulmonary disease ( 22 ). However, no bibliometric studies have been published in the NSCLC-Met field.…”
Section: Introductionmentioning
confidence: 99%