Evidence map›Paper›PMID 18703705›Full record

ReviewBlood2009

A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects.

Bas J Wouters, Bob Löwenberg, Ruud Delwel

Abstract readReview
In one paragraph

Review in Blood, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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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.

Bas J WoutersDepartment of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands. b.wouters@erasmusmc.nl
Bob Löwenberg
Ruud Delwel

Funding

Distinct acute myeloid leukemia subclasses with CEBPA mutationsR01CA118316 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI TENEN, DANIEL G · 2007 to 2011
$2.0M
NCI NIH HHS CA118316NCI NIH HHS R01 CA118316
6 · The paper itself

Abstract

The past decade has shown a marked increase in the use of high-throughput assays in clinical research into human cancer, including acute myeloid leukemia (AML). In particular, genome-wide gene expression profiling (GEP) using DNA microarrays has been extensively used for improved understanding of the diagnosis, prognosis, and pathobiology of this heterogeneous disease. This review discusses the progress that has been made, places the technologic limitations in perspective, and highlights promising future avenues.

Indexed as

Gene Expression ProfilingGene Expression Regulation, LeukemicGenome, HumanHumansLeukemia, Myeloid, AcuteOligonucleotide Array Sequence Analysis

Identifiers

PMID18703705
PMCPMC2615646

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.