Evidence map›Paper›PMID 39229411›Full record

ArticleCureus2024

Efficacy and Safety of Bendamustine-Rituximab as Frontline Therapy for Indolent Non-Hodgkin Lymphoma: A Real-World, Single-Center, Retrospective Study.

Tevy Chan, Jean-Nicolas Champagne, Jean-Samuel Boudreault

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tevy ChanGeriatric Medicine, McGill University, Montreal, CAN.
Jean-Nicolas ChampagneHematology and Medical Oncology, Hopital du Sacre-Coeur de Montréal, Montreal, CAN.
Jean-Samuel BoudreaultHematology and Medical Oncology, Hopital du Sacre-Coeur de Montréal, Montreal, CAN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The use of bendamustine with an anti-CD20 monoclonal antibody as frontline therapy for indolent non-Hodgkin lymphoma (NHL) has become a standard of care. We aimed to evaluate the real-world efficacy and safety of bendamustine-rituximab (BR) frontline therapy for indolent NHL. Patients and methods Patients with indolent NHL treated with frontline BR therapy in Hôpital du Sacré-Coeur de Montréal, from January 2015 to August 2018 were included in this retrospective study. Results Our cohort included 42 adults with a median age of 63 years. Follicular lymphoma was the most common histology (n = 31, 74%). Most patients had advanced disease (Lugano stage III or IV, 88%). The overall response rate was 84% (complete response = 62% and partial response = 22%). Median progression-free survival (PFS) was not reached. At 30 months, PFS was 74.8% and overall survival was 90%. Grade 3-4 neutropenia occurred in 21% of patients. Infection-related adverse events were observed in 17 patients (40%). Most were grade 1 and 2 events (84%). One case of grade 5 progressive multifocal leukoencephalopathy related to John Cunningham (JC) virus reactivation was observed. The most common non-infectious-related adverse events were mild nausea and fatigue. Conclusions The efficacy and safety of BR treatment for indolent NHL were comparable in our real-life cohort compared to prior studies. This supports BR as a standard of care for indolent NHL. Future studies should assess whether the use of granulocyte-colony stimulating factors as primary prophylaxis effectively mitigates the hematological and infection-related adverse events related to BR therapy.

Indexed as

bendamustinefrontline therapyindolent lymphomatreatment efficacytreatment toxicities

Identifiers

PMID39229411
PMCPMC11370709

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Registered trials

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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.