Evidence map›Paper›PMID 30504293›Full record

ReviewHematology. American Society of Hematology. Education Program2018

Genomics of aggressive B-cell lymphoma.

Allison Rosenthal, Lisa Rimsza

Abstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Targeted massively parallel sequencing of mature lymphoid neoplasms: assessment of empirical application and diagnostic utility in routine clinical practice.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  8. Article
  9. Eμ-TCL1xMyc: A Novel Mouse Model for Concurrent CLL and B-Cell Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  10. Novel therapies for relapsed/refractory aggressive lymphomas.Hematology. American Society of Hematology. Education Program · 2018
    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

2 authors.

Allison RosenthalDivision of Hematology Medical Oncology, Division of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ; and.
Lisa RimszaDivision of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Phoenix, AZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing body of genomic information collected and applied to mature aggressive B-cell lymphoma diagnosis and management has exploded over the last few years due to improved technologies with high-throughput capacity, suitable for use on routine formalin-fixed, paraffin-embedded tissue biopsies, and decreasing costs. These techniques have made evaluation of complete DNA sequences, RNA-expression patterns, translocations, copy-number alterations, loss of heterozygosity, and DNA-methylation patterns possible on a genome-wide level. This chapter will present a case of aggressive B-cell lymphoma and discuss the most important genomic abnormalities that characterize this group of entities in the recent update to the fourth edition of the World Health Organization (WHO) lymphoma classification system. Genomic abnormalities discussed will include those necessary for certain diagnoses such as translocations of

Indexed as

Burkitt LymphomaDNA, NeoplasmGene Expression RegulationNeoplasm ProteinsDNA MethylationGenomicsHumansDNA, NeoplasmNeoplasm Proteins

Identifiers

PMID30504293
PMCPMC6245962

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.