Evidence map›Paper›PMID 36505886›Full record

ReviewTherapeutic advances in hematology2022

The role of CAR-T cell therapy as second line in diffuse large B-cell lymphoma.

Omar Albanyan, Julio Chavez, Javier Munoz

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Challenges in hospice and end-of-life care in the transfusion-dependent patient.Hematology. American Society of Hematology. Education Program · 2024
    Review
  9. Article
  10. Review
  11. 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 at 3 institutions in 2 countries.

Omar AlbanyanDepartment of Blood and Marrow Transplantation and Cellular Immunotherapy, Moffitt Cancer Center, Tampa, FL, USA.ORCID https://orcid.org/0000-0003-4802-5445
Julio ChavezDepartment of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA.ORCID https://orcid.org/0000-0002-2045-6238
Javier MunozDivision of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA.
King Fahad Specialist Hospital · SAMoffitt Cancer Center · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For approximately three decades, autologous hematopoietic cell transplantation (auto-HCT) has been the standard of care for patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) after frontline therapy. This approach is limited due to the intensity of chemotherapy and the proportion of patients who relapse after auto-HCT. Since the approval of anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy and novel agents, the treatment paradigm for DLBCL has changed remarkably. Anti-CD19 CAR-T therapy was first approved for relapsed DLBCL after two or more previous lines of therapy with long-lasting responses, with over 50% of patients still alive at 5-year follow-up. Here, we discuss recent randomized phase 3 clinical trials using axicabtagene ciloleucel, tisagenlecleucel, and lisocabtagene maraleucel in the second-line therapy setting compared with the standard of care in transplant-eligible patients who have DLBCL R/R within 12 months of completing chemo-immunotherapy, potentially changing the treatment algorithm for DLBCL.

Indexed as

CAR T cell therapyearly relapse DLBCLprimary refractory DLBCLSecond line DLBCL

Identifiers

PMID36505886
PMCPMC9730015
OpenAlexW4311288583

What OpenQuestion holds

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LicenceCC BY-NC
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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.