Evidence map›Paper›PMID 39466716›Full record

ReviewBritish journal of haematology2024

Sequencing of therapy for patients with diffuse large B-cell lymphoma in the era of novel drugs.

Imke E Karsten, Evgenii Shumilov, Norbert Schmitz, Georg Lenz

Abstract readReview
In one paragraph

Review in British journal of haematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Imke E KarstenDepartment of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Muenster, Muenster, Germany.
Evgenii ShumilovDepartment of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Muenster, Muenster, Germany.
Norbert SchmitzDepartment of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Muenster, Muenster, Germany.
Georg LenzDepartment of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Muenster, Muenster, Germany.ORCID https://orcid.org/0000-0002-4728-1693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive lymphoma, accounting for ~40% of all cases in adults. Whilst approximately two-thirds of DLBCL patients can be cured by first-line therapy, one-third of patients are primary refractory or relapse after an initial response (r/r DLBCL). Recent advances in the treatment of DLBCL have been achieved by a plethora of novel drugs, such as monoclonal antibodies, antibody-drug conjugates (ADC), bi-specific T-cell engagers (BITEs), and CD-19 directed chimeric antigen receptor (CAR)-T-cell therapies. The increasing number of therapeutic options significantly improved the outcome of patients; however, the therapeutic algorithm has become increasingly complex. In this review, we provide an overview of novel therapies for DLBCL patients and potential treatment sequencing from first to second, third, and later lines.

Indexed as

Lymphoma, Large B-Cell, DiffuseAntineoplastic Combined Chemotherapy ProtocolsHumansImmunoconjugatesImmunotherapy, AdoptiveImmunoconjugatesantibody‐drug conjugate (ADC)bi‐specific T‐cell engager (BITE)chimeric antigen receptor (CAR)‐T‐cell therapyDLBCLhigh‐dose chemotherapy/autologous stem cell transplantation (HDCT/ASCT)novel drugssequencing therapies

Identifiers

PMID39466716
PMCPMC11637731

What OpenQuestion 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 OpenQuestion graph.