Evidence map›Paper›PMID 42305450›Full record

ArticleTranslational cancer research2026

Comparative efficacy and safety of systemic therapies in transplant-eligible and ineligible relapsed/refractory large B-cell lymphoma: a Bayesian network meta-analysis.

Liling Huang, Kai Chen, Min Wang, Chao Guo, Yang Li, Qiu Yu, Zixian Liu, Zhenling Li

Abstract read
In one paragraph

Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Liling Huang *Department of Hematology, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-5023-8370
Kai Chen *Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, Beijing, China.
Min WangDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Chao GuoDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Yang LiDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Qiu YuDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Zixian LiuDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Zhenling LiDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-6623-1683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The advent of novel therapies including chimeric antigen receptor (CAR) T cells, bispecific antibodies (BsAbs), and antibody-drug conjugates (ADCs), has markedly improved clinical outcomes for relapsed or refractory large B-cell lymphoma (R/R LBCL). However, direct comparisons of efficacy and safety among systemic treatments for R/R LBCL are lacking, complicating clinical decision-making. Methods: A systematic literature search was conducted across PubMed, Embase, and the Cochrane Library to identify eligible randomized controlled trials (RCTs). A Bayesian network meta-analysis (NMA) was performed to evaluate the systemic therapies across transplant-eligible and transplant-ineligible patients with R/R LBCL. The primary endpoint was progression-free survival (PFS), secondary endpoints included event-free survival (EFS), overall survival (OS), objective response rate (ORR) and grade ≥3 treatment-emergent adverse events (TEAEs). Results: The analysis included 14 RCTs comprising a total of 3,329 patients. Among the transplant-eligible cohort (7 evaluated regimens), CAR-T therapies maximized disease control; lisocabtagene maraleucel (liso-cel) ranked highest for PFS [hazard ratio (HR) =0.42; 95% credible intervals (CrI): 0.28-0.64] and EFS (HR =0.37, 95% CrI: 0.26-0.54), whereas axicabtagene ciloleucel (axi-cel) was associated with the highest incidence of grade ≥3 TEAEs [risk ratio (RR) =2.09; 95% CrI: 1.08-4.19]. In the transplant-ineligible cohort (9 evaluated regimens), glofitamab plus gemcitabine and oxaliplatin (Glofit-GemOx) ranked highest for PFS (HR =0.32; 95% CrI: 0.23-0.45), while polatuzumab vedotin plus bendamustine and rituximab (Pola-BR) yielded the maximum benefit for OS (HR =0.42; 95% CrI: 0.24-0.73) and ORR [odds ratio (OR) =5.21; 95% CrI: 2.01-14.3]. Both regimens were associated with higher toxicities, but remained overall manageable. Conclusions: This NMA provides a comprehensive comparison of systemic treatment strategies for R/R LBCL regarding efficacy and safety profiles.

Indexed as

Bayesianlarge B-cell lymphoma (LBCL)network meta-analysis (NMA)Relapsed/refractory

Identifiers

PMID42305450
PMCPMC13265201

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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.