ReviewCurrent treatment options in oncology2017
What Is Optimal Front-Line Therapy for Chronic Lymphocytic Leukemia in 2017?
Review in Current treatment options in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 12 citations in OpenAlex.
- Trial
- Real-world Clinical Outcomes of First-Line Ibrutinib or Chemoimmunotherapy in Patients with Chronic Lymphocytic Leukemia by Risk Status.Advances in therapy · 2022Article
- STAT3 promotes chronic lymphocytic leukemia progression through upregulating SMYD3 expression.Archives of medical science : AMS · 2019Article
- [Clinical analysis of 70 chronic lymphocytic leukemia patients with trisomy 12 detected by FISH].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2018Article
- Frontline Therapy of CLL: Evolving Treatment Paradigm.Current hematologic malignancy reports · 2018Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
opinion statementThe front-line management of patients with chronic lymphocytic leukemia (CLL) has evolved significantly in recent years due to introduction of novel, targeted agents. Upon CLL diagnosis, physicians should determine whether treatment or careful observation is indicated. Once treatment is required, choice of therapy should be based on the age and fitness of the patient and the distinct molecular profile of their disease. As multiple novel agents are in various stages of development, all patients regardless of their age, fitness, and disease risk should be evaluated for clinical trial participation before initiating any front-line therapy. If no clinical trial is available, we provide our recommendations for front-line treatment of CLL patients. Healthy, young patients with low-risk disease (mutated IgVH, del (13q)) should be offered fludarabine, chlorambucil, and rituximab (FCR), while similar patients with high-risk disease (unmutated IgVH, del (17p), del (11q), and complex karyotype) should be considered for ibrutinib therapy. For those young, fit patients with high-risk disease and a contraindication to ibrutinib, FCR, or high-dose methylprednisolone and rituximab are options. In regard to older, unfit patients, a careful assessment of their fitness and ability to tolerate treatment should be undertaken before starting therapy. Those who have poor performance and multiple medical comorbidities should be considered for palliative care alone. However, those who are fit enough for treatment can be offered ibrutinib. If there is a contraindication to ibrutinib, they can be separated into low- and high-risk molecular groups. For the low-risk patients, bendamustine and rituximab or obinutuzumab and chlorambucil can be considered. For the high-risk patients, treatment with rituximab and lenalidomide is an option. Herein, we provide an evidence-based front-line treatment algorithm for CLL patients based upon fitness and molecular risk.
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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.