Evidence map›Paper›PMID 20425411›Full record

ReviewCurrent hematologic malignancy reports2009

Beyond R-CHOP and the IPI in large-cell lymphoma: molecular markers as an opportunity for stratification.

Jason R Westin, Luis E Fayad

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Challenges and opportunities of microRNAs in lymphomas.Molecules (Basel, Switzerland) · 2014
    Review
  7. 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 at 2 institutions in 1 country.

Jason R WestinDepartment of Lymphoma/Myeloma, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Unit #429, Houston, TX 77030, USA.
Luis E Fayad
Lymphoma Research Foundation · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common type of lymphoma in Western countries and represents a heterogeneous group of diseases. Historically, the disease has been stratified based solely on clinical prognostic factors, such as those that make up the International Prognostic Index (IPI). In the past decade, many advances have been made in understanding the biology of DLBCL, including clinical aspects, gene expression profiling, and microRNA. These evaluations have revealed several distinct subtypes with differing responses to therapy and different long-term outcomes, but the standard initial therapy for DLBCL continues to use regimens like R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) regardless of the disease subtype. Despite improvements in the diagnosis and treatment of this condition, nearly one third of patients die of their disease. This article reviews the history of DLBCL, prognostic factors, therapy, and possible future directions.

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, Murine-DerivedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCyclophosphamideDoxorubicinGene Expression ProfilingHumansLymphoma, Large B-Cell, DiffusePrednisonePrognosisRituximabVincristineAntibodies, MonoclonalAntibodies, Monoclonal, Murine-DerivedBiomarkers, TumorCyclophosphamideDoxorubicinPrednisoneRituximabVincristine

Identifiers

PMID20425411
OpenAlexW2046188170

What OpenQuestion holds

Textmetadata
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.