Evidence map›Paper›PMID 33403905›Full record

ArticleLeukemia & lymphoma2021

Why R-CHOP + X is not enough: lessons learned and next steps in the mission to improve frontline therapy for diffuse large B-cell lymphoma.

Hua-Jay J Cherng, Jason Westin

Abstract read
In one paragraph

Article in Leukemia & lymphoma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Smart Start: Rituximab, Lenalidomide, and Ibrutinib in Patients With Newly Diagnosed Large B-Cell Lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  8. 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

2 authors.

Hua-Jay J CherngDivision of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-8266-8447
Jason WestinDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-1824-2337

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Two-thirds of newly diagnosed cases of diffuse large B-cell lymphoma (DLBCL) are cured with R-CHOP, an immunochemotherapy regimen that has been the standard of care for almost two decades. Ongoing molecular characterization of DLBCL has revealed a heterogeneous disease comprised of multiple subtypes based on putative cell of origin or somatic mutations with unique oncogenic signaling pathways. The door has been opened to the use of novel agents that target the specific molecular vulnerabilities of DLBCL, but despite this, multiple randomized studies have not identified a suitable drug 'X' to combine with R-CHOP. This report will review recent attempts to add individual novel agents to R-CHOP in the mission to improve frontline treatment for DLBCL and discuss promising ongoing studies. It will offer potential strategies to explore when designing future clinical trials, including exploiting synergy between multiple novel agents.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsLymphoma, Large B-Cell, DiffuseCyclophosphamideDoxorubicinHumansPrednisoneRituximabVincristineCyclophosphamideDoxorubicinPrednisoneRituximabVincristineB-cellfrontlinelymphomanovelR-CHOP

Identifiers

PMID33403905
PMCPMC9153122

What OpenQuestion holds

Textmetadata
LicenceTDM
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.