| Literature DB >> 36059661 |
Siyuan Chen1,2, Yu Qiao3, Juan Chen4, Yanan Li1,2, Jianlian Xie5, Pengfei Cui1,2, Ziwei Huang1,2, Di Huang1,2, Yiming Gao1,2, Yi Hu1, Zhefeng Liu1.
Abstract
Objective: The study was designed to explore the evolution of non-small cell lung cancer (NSCLC) management in the last 20 years.Entities:
Keywords: Citespace; R; VOSviewer; bibliometric; management; non-small cell lung cancer (NSCLC); treatment
Year: 2022 PMID: 36059661 PMCID: PMC9428518 DOI: 10.3389/fonc.2022.939838
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Flow chart of literature screening.
Figure 2(A) Annual distribution of publications. (B) The overlay visualization map of the top-cited publications. Each node means an article. The size of circles and fonts is proportional to TC. The more purple the node, the earlier the year of publication, and the yellower the node, the more recent the publication date. The node name shows the first author and the publication year of a paper. The connecting line suggests that there is a citation relationship between the papers.
Figure 3(A) The cooperation relationships of countries/regions. Each node represents a country/region. The size of circles and fonts symbolizes the number of articles in certain countries/regions, and the thickness of the linking line between countries/regions indicates the frequency of collaborations. The distance between the two circles demonstrates the relatedness of their link. (B) The proportion of international cooperation. The length of the bar is determined by the number of corresponding authors in the country/region. MCP is intercountry collaboration indices, denoting the number of papers issued collaboratively by multiple countries/regions. SCP is intra-country collaboration indices, indicating the number of papers published independently by a single country/region.
Figure 4The item density visualization map of major institutions. Each node represents an institution. The larger the size of the fonts and the closer the color around the node to red, the more papers the institution is involved in.
Top 10 institutions with the most articles.
| Rank | Institutions | Country/Region | Publication | TC | TC/Publication |
|---|---|---|---|---|---|
| 1 | The Memorial Sloan Kettering Cancer Center | USA | 20 | 34943 | 1747.15 |
| 2 | The Massachusetts General Hospital | USA | 16 | 27151 | 1696.94 |
| 3 | The AstraZeneca | England | 12 | 22908 | 1909.00 |
| 4 | The Dana-Farber Cancer Institute | USA | 12 | 31620 | 2635.00 |
| 5 | The Sungkyunkwan University | South Korea | 12 | 19163 | 1596.92 |
| 6 | The Chinese University of Hong Kong | China | 10 | 17602 | 1760.20 |
| 7 | The Institute Gustave Roussy | France | 10 | 16688 | 1668.80 |
| 8 | The Seoul National University Hospital | South Korea | 10 | 13958 | 1395.80 |
| 9 | The University of Colorado | USA | 10 | 15836 | 1583.60 |
| 10 | The University of Texas | USA | 10 | 12761 | 1276.10 |
Figure 5(A) The cooperation relationships of major authors. Each node stands for an author. The size of circles and fonts means the articles’ counts of the author. The colors of the nodes represent clusters. The thickness of the connecting line between authors shows the frequency of collaborations. The distance between the two circles expressed the relatedness of their link. (B) Annual output distribution of the top 10 authors. The bigger the node, the more papers published in that year, and the bluer the node, the more annual average TC of the authors’ papers in that year.
Figure 6(A) The dual-map overlay of journals. The citing papers are listed on the left while the cited papers are laid on the right, between them was the curve that presents the citation relationship. Different colors denote journals from different subjects. The length of the vertical axis of the ellipse is proportional to the papers’ counts published in the journal and the horizontal length is to authors. (B) The annual growth trends of the journals.
Journals that published the most-cited 100 publications.
| Journal | Publication | IF | TC | TC/Publication |
|---|---|---|---|---|
| New England Journal of Medicine | 33 | 91.253 | 80427 | 2437.18 |
| Journal of Clinical Oncology | 28 | 44.544 | 32408 | 1157.43 |
| Lancet Oncology | 15 | 41.316 | 20771 | 1384.73 |
| Lancet | 10 | 79.323 | 14156 | 1415.60 |
| JNCI-Journal of the National Cancer Institute | 3 | 13.506 | 2672 | 890.67 |
| JAMA-Journal of the American Medical Association | 2 | 56.274 | 3824 | 1912.00 |
| Science | 2 | 47.728 | 11866 | 5933.00 |
| Cancer | 1 | 6.86 | 623 | 623.00 |
| Clinical Cancer Research | 1 | 12.531 | 685 | 685.00 |
| Journal of Thoracic Oncology | 1 | 15.609 | 688 | 688.00 |
| Journal of Translational Medicine | 1 | 5.531 | 628 | 628.00 |
| Mayo Clinic Proceedings | 1 | 7.619 | 2049 | 2049.00 |
| Nature | 1 | 49.962 | 1112 | 1112.00 |
| Translational Lung Cancer Research | 1 | 6.498 | 623 | 623.00 |
Figure 7(A) The overlay visualization map of keywords co-occurrence. Each node represents a keyword. The size of circles and fonts is proportional to the frequency of keywords. The thickness of connecting lines stands for the co-occurrence frequency. The whiter the node is, the earlier the focus on this topic, and the redder is, the more attention it gets nowadays. (B) Keywords with strongest burst strength. The red bars indicate the sudden increase of occurrence frequency of the keyword in this period and the blue ones denote the unpopular period.
Top 20 keywords with the most occurrence.
| Rank | Keywords | Counts | Rank | Keywords | Counts |
|---|---|---|---|---|---|
| 1 | Chemotherapy | 36 | 11 | Erlotinib | 14 |
| 2 | Clinical-trials | 28 | 12 | Combination | 13 |
| 3 | Phase-iii | 24 | 13 | Survival | 13 |
| 4 | Gefitinib | 22 | 14 | Tyrosine kinase inhibitor | 13 |
| 5 | Docetaxel | 19 | 15 | Open-label | 12 |
| 6 | Growth-factor receptor | 15 | 16 | Multicenter | 11 |
| 7 | Paclitaxel | 15 | 17 | Radiotherapy | 11 |
| 8 | Carboplatin | 14 | 18 | Sensitivity | 10 |
| 9 | Cisplatin | 14 | 19 | Nivolumab | 9 |
| 10 | EGFR | 14 | 20 | 1st-line treatment | 8 |
Figure 8(A) The principles and landscape of NSCLC management. (B) The major mechanism of ICIs for the treatment of NSCLC.