Evidence map›Paper›PMID 27804182›Full record

ArticleAmerican journal of hematology2017

Validation of a clinical assay of multi-locus DNA methylation for prognosis of newly diagnosed AML.

Courtney D Dinardo, Marlise R Luskin, Martin Carroll, Catherine Smith, Jenna Harrison, Sherry Pierce, Steve Kornblau, Marina Konopleva, Tapan Kadia, Hagop Kantarjian and 2 more

Abstract readLetter
In one paragraph

Article in American journal of hematology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Courtney D DinardoDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas.
Marlise R LuskinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Martin CarrollPerelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Catherine SmithDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Jenna HarrisonDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Sherry PierceDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas.
Steve KornblauDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas.
Marina KonoplevaDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas.
Tapan KadiaDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas.
Hagop KantarjianDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, Texas.
Gerald B WertheimDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Stephen R MasterDepartment of Pathology & Laboratory Medicine, Weill Cornell Medical College, New York, New York.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHPALL, ELIZABETH J · 2003 to 2023
$43.7M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA100632
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DNA MethylationQuantitative Trait LociBiomarkers, TumorEpigenomicsHumansLeukemia, Myeloid, AcutePrognosisReproducibility of ResultsBiomarkers, Tumor

Identifiers

PMID27804182
PMCPMC5915352

What OpenQuestion holds

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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.