Evidence map›Paper›PMID 25552678›Full record

ReviewHaematologica2015

Deciphering the molecular landscape in chronic lymphocytic leukemia: time frame of disease evolution.

Lesley-Ann Sutton, Richard Rosenquist

Abstract readReview
In one paragraph

Review in Haematologica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Telomere length analysis in monoclonal B-cell lymphocytosis and chronic lymphocytic leukemia Binet A.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017
    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.

Lesley-Ann SuttonDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.
Richard RosenquistDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden richard.rosenquist@igp.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dramatic advances in next generation sequencing technologies have provided a novel opportunity to understand the molecular genetics of chronic lymphocytic leukemia through the comprehensive detection of genetic lesions. While progress is being made in elucidating the clinical significance of recurrently mutated genes, layers of complexity have been added to our understanding of chronic lymphocytic leukemia pathogenesis in the guise of the molecular evolution and (sub)clonal architecture of the disease. As we prepare for an era of tailored therapy, we need to appreciate not only the effect mutations have on drug response but also the impact subclones containing specific mutations have at initial presentation, during therapy and upon relapse. Therefore, although the wealth of emerging genetic data has great potential in helping us devise strategies to improve the therapy and prognosis of patients, focused efforts will be required to follow disease evolution, particularly in the context of novel therapies, in order to translate this knowledge into clinical settings.

Indexed as

Clonal EvolutionDisease ProgressionHigh-Throughput Nucleotide SequencingHumansLeukemia, Lymphocytic, Chronic, B-CellMutationNeoplasm ProteinsTime FactorsNeoplasm Proteins

Identifiers

PMID25552678
PMCPMC4281307

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.