Evidence map›Paper›PMID 41282995›Full record

SynthesisPeerJ2025

Comparison of anti-PD-1/PD-L1-based regimens in relapsed/refractory diffuse large B-cell lymphoma: a meta-analysis.

Wenxin Jiang, Tingyu Wen, Peng Liu

Abstract readMeta-AnalysisComparative Study
In one paragraph

Synthesis in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Wenxin JiangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Chaoyang District, Beijing, China.
Tingyu WenNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Chaoyang District, Beijing, China.
Peng LiuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Chaoyang District, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To evaluate the therapeutic value and find out potential combination agents of programmed death 1/programmed death-ligand 1 (PD-1/PD-L1) monoclonal antibody (mAb) in relapsed/refractory (r/r) diffuse large B-cell lymphoma (DLBCL). Methods: We conducted a meta-analysis to assess the efficacy and safety of PD-1/PD-L1 mAb in r/r DLBCL, potential qualified studies were searched in PubMed, Embase, Web of Science, and ClinicalTrials.gov. This meta-analysis had been registered on the PROSPERO platform (CRD42023340031). Results: After systematic screening, a total of 32 records involving 29 studies were included, pooled survival curves indicated better progression-free survival (PFS) ( Conclusions: These findings support further exploration of PD-1/PD-L1-mAb-based combination therapy to identify long-term survival benefits, while application of monotherapy in unselected DLBCL patients is not recommended.

Indexed as

Antibodies, MonoclonalAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenImmune Checkpoint InhibitorsLymphoma, Large B-Cell, DiffuseProgrammed Cell Death 1 ReceptorHumansNeoplasm Recurrence, LocalProgression-Free SurvivalAntibodies, MonoclonalAntineoplastic Agents, ImmunologicalB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorDiffuse large B-cell lymphomaImmune checkpoint inhibitorsImmunotherapyProgrammed death 1Programmed death ligand 1

Identifiers

PMID41282995
PMCPMC12640133

What OpenQuestion holds

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Registered trials

None linked

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.