Evidence map›Paper›PMID 37664664›Full record

ArticleOncology letters2023

BR vs. R‑miniCHOP in unfit patients with B‑cell non‑Hodgkin lymphoma: A randomized, two‑center, cohort study.

Dongdong Zhang, Yong Lin, Youhong Dong, Liling Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2023. 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, top 71% of its field
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, 0 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Dongdong ZhangDepartment of Oncology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei 441000, P.R. China.
Yong LinDepartment of Gastroenterology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei 441000, P.R. China.
Youhong DongDepartment of Oncology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei 441000, P.R. China.
Liling ZhangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430071, P.R. China.
Hubei University of Medicine · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to compare the efficacy and safety between the bendamustine plus rituximab (BR) regimen and rituximab combined with low-dose doxorubicin, cyclophosphamide, vincristine and prednisone (R-miniCHOP) in the treatment of 'unfit' patients with diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma grade 3B (FL3B). Patients, >70 years of age with DLBCL or FL3B, defined as unfit according to Comprehensive Geriatric Assessment, were included in the present study. All patients received 4-6 cycles of a BR or R-miniCHOP regimen at a three-week interval. The objective remission rate (ORR) and adverse reactions were evaluated between the two groups. A total of 35 patients, recruited between January 2020 and December 2021, were included in this prospective study. The median age was 74 years (range, 70-82 years). The ORR in the BR group was similar to that in the R-miniCHOP group (73.3 vs. 75.0%; P=0.606). However, the BR group exhibited a lower incidence of leukopenia than the R-miniCHOP group (20.0 vs. 60.0%; P=0.037). The univariate analysis revealed that the ORR was influenced by the serum β

Indexed as

bendamustine plus rituximabdiffuse large B-cell lymphomaobjective remission raterituximab combined with low-dose CHOPunfit

Identifiers

PMID37664664
PMCPMC10472019
OpenAlexW4386098600

What OpenQuestion holds

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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.