Evidence map›Paper›PMID 37692863›Full record

ReviewJournal of hematology2023

Harnessing the Immune System: An Effective Way to Manage Diffuse Large B-Cell Lymphoma.

Nathan Visweshwar, Juan Felipe Rico, Robert Killeen, Arumugam Manoharan

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. DIRMC: a database of immunotherapy-related molecular characteristics.Database : the journal of biological databases and curation · 2024
    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 3 institutions in 2 countries.

Nathan VisweshwarDepartment of Hematology, University of South Florida, Tampa, FL, USA.
Juan Felipe RicoDepartment of Pediatrics, University of South Florida, Morsani College of Medicine, Tampa, FL, USA.
Robert KilleenDepartment of Hematology, Moffitt Cancer Center, Tampa, FL, USA.
Arumugam ManoharanFaculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.
University of South Florida · USMoffitt Cancer Center · USUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is a heterogenous hematological disorder with malignant potential controlled by immunological characteristics of the tumor microenvironment. Rapid breakthrough in the molecular pathways has made immunological approaches the main anchor in the management of DLBCL, with or without chemotherapeutic agents. Rituximab was the first monoclonal antibody approved for the treatment of DLBCL. Following rituximab that transformed the therapeutic landscape, other novel immunological agents including chimeric antigen T-cell therapy have reshaped the management of relapsed/refractory DLBCL. However, resistance and refractory state remain a challenge in the management of DLBCL. For this literature review, we screened articles from Medline, Embase, Cochrane databases and the European/North American guidelines from March 2010 through October 2022 for DLBCL. Here we discuss immunological agents that will significantly affect future treatment of this aggressive type of lymphoma.

Indexed as

Antibody drug conjugatesBispecific T-cell engager antibodyCheckpoint inhibitorsChimeric antigen receptor T-cell therapyDiffuse large B-cell lymphomaImmunomodulatory therapyImmunotherapy

Identifiers

PMID37692863
PMCPMC10482611
OpenAlexW4386280311

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.