Evidence map›Paper›PMID 24611071›Full record

ArticlePersonalized medicine2013

Clinical application of targeted and genome-wide technologies: can we predict treatment responses in chronic lymphocytic leukemia?

Reem Alsolami, Samantha Jl Knight, Anna Schuh

Abstract read
In one paragraph

Article in Personalized medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. An overview of remote monitoring methods in biodiversity conservation.Environmental science and pollution research international · 2022
    Review
  3. Article
  4. Article
  5. Article
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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 2 institutions in 2 countries.

Reem AlsolamiOxford National Institute for Health Research Biomedical Research Centre, University of Oxford, Oxford, UK ; King Abdulaziz University, Faculty of Applied Medical Sciences, Jeddah, Saudi Arabia.
Samantha Jl KnightOxford National Institute for Health Research Biomedical Research Centre, University of Oxford, Oxford, UK ; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Anna SchuhOxford National Institute for Health Research Biomedical Research Centre, University of Oxford, Oxford, UK.
University of Oxford · GBNational Institute for Health Research · GB

Funding

Wellcome Trust 090532Wellcome Trust 091989
6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) is low-grade lymphoma of mature B cells and it is considered to be the most common type of hematological malignancy in the western world. CLL is characterized by a chronically relapsing course and clinical and biological heterogeneity. Many patients do not require any treatment for years. Although important progress has been made in the treatment of CLL, none of the conventional treatment options are curative. Recurrent chromosomal abnormalities have been identified and are associated with prognosis and pathogenesis of the disease. More recently, unbiased genome-wide technologies have identified multiple additional recurrent aberrations. The precise predictive value of these has not been established, but it is likely that the genetic heterogeneity observed at least partly reflects the clinical variability. The present article reviews our current knowledge of predictive markers in CLL using whole-genome technologies.

Indexed as

chronic lymphocytic leukemiagenome-wide technologiesmassively parallel sequencingnext-generation technologypredictive biomarkerprognostic biomarkerSNP microarray

Identifiers

PMID24611071
PMCPMC3943176
OpenAlexW2097627850

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.