ReviewTherapeutic advances in hematology2025
The efficacy and safety of anti-CD20 antibody for the treatment of B-ALL: a systematic review and meta-analysis.
Review in Therapeutic advances in hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several clinical trials with anti-CD20 antibodies have successfully treated Acute Lymphoblastic Leukemia. Nevertheless, systematic comparisons between different anti-CD20 antibody trials are rare, and a comprehensive evaluation of their efficacy and safety has yet to be performed. The purpose of this systematic review and meta-analysis was to assess the efficacy and safety of anti-CD20 antibodies in the treatment of acute lymphoblastic leukemia and to guide clinical decision-making regarding the use of anti-CD20 antibody therapy. According to the PRISMA guidelines, Embase, Cochrane Library, PubMed, Web of Science, and ClinicalTrials.gov were searched for clinical trials conducted up to November 1, 2024, for the evaluation of anti-CD20 antibodies (rituximab, obinutuzumab, and ofatumumab) and corresponding controls. After screening the literature and extracting data, study quality was assessed using the Cochrane ROB 2 tool (RCTs) and the Newcastle-Ottawa Scale (cohorts). Heterogeneity was assessed using the I² test. Based on the results of the heterogeneity test, meta-analysis was performed in RevMan 5.4 software with either a random-effects model or a fixed-effects model. We combined data from eight studies (
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