ReviewThe Korean journal of internal medicine2016
Chronic lymphocytic leukemia: a clinical review including Korean cohorts.
Review in The Korean journal of internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Assessment of bone marrow involvement in patients with lymphoma: report on a consensus meeting of the Korean Society of Hematology Lymphoma Working Party.The Korean journal of internal medicine · 2016Guideline
- Clonal Burden, Immunoglobulin Heavy Chain Variable Gene Somatic Hypermutations, and Immunoglobulin Gene Repertoire in Korean Patients with Chronic Lymphocytic Leukemia Assessed by Next-generation Sequencing.Annals of laboratory medicine · 2026Article
- Genetic and Clinical Characteristics of Korean Chronic Lymphocytic Leukemia Patients with High Frequencies ofInternational journal of molecular sciences · 2023Article
- Effectiveness of pegfilgrastim prophylaxis in preventing febrile neutropenia during R-FC chemoimmunotherapy for chronic lymphocytic leukemia: A multicenter prospective phase II study.Frontiers in oncology · 2023Article
- Review
- Treatment outcome and prognostic factors of Korean patients with chronic lymphocytic leukemia: a multicenter retrospective study.The Korean journal of internal medicine · 2021Article
- Telomere length and its correlation with gene mutations in chronic lymphocytic leukemia in a Korean population.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Only 5th decade ago, chronic lymphocytic leukemia (CLL) was only recognized as disease group of presenting features like peripheral lymphocytosis, organomegaly including of splenomegaly. As understanding of disease biology and molecular diagnostic tools are getting improved gradually, characterization of variation in CLL's clinical courses was facilitated, resulting in better risk stratification and targeted treatments. Consequently multiple new targeted agents have been used in treatment of CLL, it makes improved clinical outcome. Rituximab containing chemoimmunotherapy (combination of rituximab, fludarabine, and cyclophosphamide) have shown better overall response rate and progression-free survival on fit patients' group in front-line setting, result in standard first-line therapeutic option for CLL. Furthermore, after introducing that the B-cell receptor is crucial for the evolution and progression of CLL, emerging treatments targeting highly activated surface antigens and oncogenic signaling pathways have been associated with several successes in recent decades. These include new anti-CD 20 monoclonal antibody (obinutuzumab), the bruton tyrosine kinase inhibitor (ibrutinib), the phosphatidylinositol 3-kinase inhibitor (idelalisib), and B-cell CLL/lymphoma 2 inhibitor (ABT-199 and ABT-263). So, we discuss not only general pathophysiology of CLL, but also rapidly advancing treatment strategies that are being studied or approved for treatment of CLL.
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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 OpenQuestion graph.