ArticleDrug design, development and therapy2024
Deciphering the Dynamics of EGFR-TKI Resistance in Lung Cancer: Insights from Bibliometric Analysis.
Article in Drug design, development and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global hotspots and trends of nutritional supplements for sick populations from 2000 to 2024.Frontiers in nutrition · 2025Pooled it
- Global trends and research progress on immunotherapy forJournal of thoracic disease · 2026Article
- Tyrosine kinase inhibitor toxicity in the treatment of non-small-cell lung cancer: A bibliometric analysis (2009-2025).Medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: EGFR-TKI resistance poses a significant challenge in the treatment landscape of non-small cell lung cancer (NSCLC), prompting extensive research into mechanisms and therapeutic strategies. In this study, we conduct a bibliometric analysis to elucidate evolving research hotspots and trends in EGFR-TKI resistance, offering insights for clinical interventions and scientific inquiries. Methods: Publications spanning from 1996 to 2024, focusing on EGFR-TKI resistance in NSCLC, were sourced from the Web of Science Core Collection. Utilizing VOSviewer 1.6.19, CiteSpace 6.2. R2, and Scimago Graphica 1.0.35, we analyzed these articles to identify countries/regions and institutions, Journals, publications, key contributors, collaborations, and emerging topics. Results: An analysis of 8051 articles by 38,215 researchers from 86 countries shows growing interest in EGFR-TKI resistance mechanisms. Since 1996, publications have steadily increased, surpassing 500 per year after 2016, with a sharp rise in citations. Research articles make up 84% of publications, emphasizing scholarly focus. Global collaboration, especially among researchers in China, the US, and Japan, is strong. Leading institutions like Dana-Farber and Harvard, along with journals such as "Lung Cancer", are key in sharing findings. Professors Yi-Long Wu and William Pao are prominent contributors. Keyword analysis reveals core themes, including first-generation EGFR-TKIs, emerging agents like osimertinib, and research on the T790M mutation. Conclusion: EGFR-TKI resistance remains a critical issue in NSCLC treatment, driving ongoing research efforts worldwide. Focusing future research on clear identification of resistance mechanisms will guide post-resistance treatment strategies, necessitating further exploration, alongside the validation of emerging drugs through clinical trials. Moreover, "chemo+" treatments following EGFR-TKI resistance require more clinical data and real-world evidence for assessing safety and patient outcomes. As research advances, a multidisciplinary approach will be key to overcoming these challenges. Continued innovation in treatment could greatly enhance patient survival and quality of life.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.