| Literature DB >> 35399710 |
Qintong Duan1, Yufeng Li1, Lijia Ou1, Yajun Li2, Ruolan Zeng2, Yizi He2, Tao Pan2, Siwei Chen1, Huan Chen3, Hui Zang4, Hui Zhou2, Ling Xiao1.
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma subtype. Treatment of DLBCL has improved greatly in recent decades, with thousands of papers published. We conducted a bibliometric analysis of the literature on DLBCL treatment, and discussed cooperation among authors, countries, and institutions, and identified research hotspots for DLBCL treatment. We searched the Web of Science Core Collection (WOSCC) using "Diffuse Large B Cell Lymphoma or DLBCL" and "Treatment or Therapy or Clinical Trial" as the subject terms, and analyzed the publication year, research direction, country/region, institution, author, source publication, distribution of funding institutions, and other conditions provided by the database. In addition, scientometrics software was used to analyze literature citations and cooperative publications. Bibliometric analyses were performed using https://bibliometric.com/app and VOSviewer. Network maps were generated to evaluate collaborations between different authors, countries, institutions, and keywords. A total of 7,255 studies on treatment of DLBCL were retrieved from the WOSCC on February 19, 2021. We found that the number of publications increased gradually from 1999 to 2021, and this trend was relatively stable in the past 3 years. The countries that produced the most publications were the United States, China, and Japan. Among institutions, University of Texas MD Anderson Cancer Center published the most manuscripts. Furthermore, the United States also had the most annual publications, citations, distribution of journal sources, and funding. Cooperative research between countries is also relatively important to treatment of DLBCL. Therapeutic regimens such as CHOP and R-CHOP, and immunotherapy (CAR-T, PD1/PDL1, and CAR-NK, etc.), have received increased attention. Bibliometric analysis of studies related to DLBCL treatment can help researchers and clinical workers quickly understand the hotspots and development trends in this field, and provide reference for the formulation of public health policies. © The author(s).Entities:
Keywords: VOSviewer; Visualized; bibliometric analysis; diffuse large B-cell Lymphoma (DLBCL); research progress; treatment
Year: 2022 PMID: 35399710 PMCID: PMC8990428 DOI: 10.7150/jca.68453
Source DB: PubMed Journal: J Cancer ISSN: 1837-9664 Impact factor: 4.207
Figure 1Published articles in the field of DLBCL therapy in recent years. (A): Annual articles published in the research field of diffuse large B lymphoma in the past 20 years. (B): The status of articles published in the top 10 countries in the field of treatment of diffuse large B lymphoma in recent years.
Ten most productive countries 1999-2021
| Standard Competition Ranking | Country | Articles (%) |
|---|---|---|
| First | the United States | 2389(33.26%) |
| Second | China | 966(13.45%) |
| Third | Japan | 643(8.95%) |
| Fourth | Italy | 582(8.10%) |
| Fifth | Germany | 571(7.95%) |
| Sixth | France | 543(7.56%) |
| Seventh | England | 471(6.56%) |
| Eighth | Canada | 357(4.97%) |
| Ninth | Spain | 342(4.76%) |
| Tenth | Korea | 302(4.20%) |
Top 10 institutions for publications
| Institutions | Frequency | Total Cited (times) | Average Cited (times) |
|---|---|---|---|
| Univ Texas MD Anderson Canc Ctr | 409 | 3723 | 9.10 |
| Mem Sloan Kettering Canc Ctr | 350 | 4113 | 11.75 |
| Mayo Clin | 344 | 4291 | 12.47 |
| NCI | 238 | 10361 | 43.53 |
| Stanford Univ | 229 | 9986 | 43.61 |
| British Columbia Canc Agcy | 150 | 6279 | 41.86 |
| Univ Penn | 149 | 1099 | 7.38 |
| Sungkyunkwan Univ | 147 | 811 | 5.52 |
| Natl Canc Ctr | 144 | 769 | 5.34 |
| Fudan Univ | 144 | 367 | 2.55 |
Top 10 journals published in literature
| Journal | Frequency | Total Cited (times) | Average Cited (times) | IF (2020) |
|---|---|---|---|---|
| BLOOD | 582 | 6417 | 11.03 | 23.629 |
| LEUKEMIA & LYMPHOMA | 406 | 1773 | 4.37 | 3.28 |
| BRITISH JOURNAL OF HAEMATOLOGY | 214 | 1422 | 6.64 | 6.998 |
| JOURNAL OF CLINICAL ONCOLOGY | 206 | 6096 | 29.59 | 44.544 |
| ANNALS OF ONCOLOGY | 178 | 1997 | 11.22 | 32.976 |
| ANNALS OF HEMATOLOGY | 166 | 782 | 4.71 | 3.673 |
| HAEMATOLOGICA | 150 | 463 | 3.09 | 9.941 |
| CLINICAL LYMPHOMA MYELOMA & LEUKEMIA | 114 | 279 | 2.45 | 3.231 |
| INTERNATIONAL JOURNAL OF HEMATOLOGY | 96 | 263 | 2.74 | 2.49 |
| EUROPEAN JOURNAL OF HAEMATOLOGY | 86 | 409 | 4.76 | 2.997 |
Top 10 articles with total citations
| Title | Author | Details | Total Cited (times) | Average Cited (times) |
|---|---|---|---|---|
| Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling | Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, et al. | Nature. 2000;403(6769):503-11 | 6598 | 314.19 |
| CHOP chemotherapy plus rituximab compared with CHOP alone in elderly patients with diffuse large-B-cell lymphoma | Coiffier B, Lepage E, Briere J, Herbrecht R, Tilly H, Bouabdallah R, et al. | N Engl J Med. 2002;346(4):235-42 | 3591 | 189.00 |
| The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma | Rosenwald A, Wright G, Chan WC, Connors JM, Campo E, Fisher RI, et al. | N Engl J Med. 2002;346(25):1937-47 | 2574 | 135.47 |
| Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning | Shipp MA, Ross KN, Tamayo P, Weng AP, Kutok JL, Aguiar RCT, et al. | Nat Med. 2002;8(1):68-74 | 1647 | 86.68 |
| CHOP-like chemotherapy plus rituximab versus CHOP-like chemotherapy alone in young patients with good-prognosis diffuse large-B-cell lymphoma: a randomised controlled trial by the MabThera International Trial (MInT) Group | Pfreundschuh M, Trumper L, Osterborg A, Pettengell R, Trneny M, Imrie K, et al. | Lancet Oncol. 2006;7(5):379-91 | 1380 | 92.00 |
| Axicabtagene Ciloleucel CAR T-Cell Therapy in Refractory Large B-Cell Lymphoma | Neelapu SS, Locke FL, Bartlett NL, Lekakis LJ, Miklos DB, Jacobson CA, et al. | N Engl J Med. 2017;377(26):2531-44 | 1228 | 307.00 |
| EZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations. | McCabe MT, Ott HM, Ganji G, Korenchuk S, Thompson C, Van Aller GS, et al. | Nature. 2012;492(7427):108-+ | 1099 | 122.11 |
| Stromal Gene Signatures in Large-B-Cell Lymphomas. | Lenz G, Wright G, Dave SS, Xiao W, Powell J, Zhao H, et al. | N Engl J Med. 2008;359(22):2313-23. | 1070 | 82.31 |
| Long-term results of the R-CHOP study in the treatment of elderly patients with diffuse large B-cell lymphoma: A study by the groupe d'Etude des lymphomes de l'adulte | Feugier P, Van Hoof A, Sebban C, Solal-Celigny P, Bouabdallah R, Ferme C, et al. | J Clin Oncol. 2005;23(18):4117-26 | 991 | 61.94 |
| Rituximab-CHOP versus CHOP alone or with maintenance rituximab in older patients with diffuse large B-cell lymphoma | Habermann TM, Weller EA, Morrison VA, Gascoyne RD, Cassileth PA, Cohn JB, et al. | J Clin Oncol. 2006;24(19):3121-7 | 959 | 63.93 |
Figure 2Top 10 funding agencies and the number of documents issued.
Figure 3Global citations of DLBCL literature from 1999 to 2021.
Citation situation from 1999 to 2021
| Items | Global |
|---|---|
| total | 7255 |
| Total cited times | 169930 |
| Removes the number of cited times of self-citing | 127730 |
| Application documents | 70841 |
| The number of citation times cited is removed | 65361 |
| Average number of citations per item | 23.33 |
| h-index | 154 |
Figure 4VOSviewer was used to analyze the obtained literature. (A): Overlay visualization map of country co-authorship analysis. Countries were represented by circle labels. The distance between two circles indicated the closeness of relationships. The strength of the co-author link between two countries was represented by the thickness of the connecting curved lines. The area of the circle was determined by the number of total citations by each country. (B): Overlay visualization map of author keywords co-occurrence analysis. The area of the circle was determined by occurrences of each keyword, and the same color represents the same cluster, with brighter colors indicated more research focused on these keywords. (C): In the visual analysis of keyword overlay, time was added to the keyword co-occurrence network, which clearly shows the research focus and direction of this field in different time periods. Different colors of circles indicates the average year of the studies according to the bar on the lower right corner.
Ranking of countries in terms of the number of publications of different types of treatments for DLBCL
| Ranking of treatment modalities | Chemotherapy drugs | Small molecule compound | Monoclonal antibodies | Cell therapy | Transplant |
|---|---|---|---|---|---|
| First | USA | USA | USA | USA | USA |
| Second | China | China | France | China | UK |
| Third | Italy | Spain | UK | Japan | Italy |
| Fourth | France | Germany | Japan | Italy | France |
| Fifth | Germany | Canada | Germany | France | Germany |
| Sixth | Japan | Poland | Italy | Germany | Spain |
| Seventh | UK | Japan | China | UK | Canada |
| Eighth | Canada | Belgium | Spain | Canada | Australia |
| Ninth | Spain | Italy | Switzerland | Spain | Japan |
| Tenth | Switzerland | Switzerland | Canada | Switzerland | China |
Figure 5(A,B,C): Statistics on CAR-T therapy. (D,E,F): Statistics on PD1/PDL1 therapy. (A,D): Annual articles published on use of CAR-T and PD1/PDL1 for DLBCL in various countries. (B,E): Cooperative relations between countries. Countries are represented in different colors. The strength of the cooperation between co-authors between two countries was expressed by the thickness of the connection curve. The percentage area was determined by the total number of citations per country. (C,F): Relational networks. Larger dots indicate higher quality manuscripts and number of citations.
Figure 6The chart shows 1,537 studies on DLBCL in the clinical trials database. The colors indicate the number of studies located in each region (green to red indicates the number of studies from low to high).