Evidence map›Paper›PMID 31759819›Full record

ReviewSeminars in oncology nursing2019

Advances in Genomic Profiling and Risk Stratification in Acute Myeloid Leukemia.

Daniel R Richardson, Matthew C Foster, Catherine C Coombs, Joshua F Zeidner

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in oncology nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. The sensitivity of theLeukemia research reports · 2020
    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

4 authors at 1 institution in 1 country.

Daniel R RichardsonUNC Lineberger Comprehensive Cancer Center, Division of Hematology/Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC; The Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC. Electronic address: richardson@unc.edu.
Matthew C FosterUNC Lineberger Comprehensive Cancer Center, Division of Hematology/Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Catherine C CoombsUNC Lineberger Comprehensive Cancer Center, Division of Hematology/Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Joshua F ZeidnerUNC Lineberger Comprehensive Cancer Center, Division of Hematology/Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
University of North Carolina at Chapel Hill · US

Funding

AHRQ HHS T32 HS000032NCI NIH HHS L30 CA264755
6 · The paper itself

Abstract

objectiveTo review the current state of molecular and genetic profiling of acute myeloid leukemia (AML) and its implications. DATA SOURCE: Peer-reviewed journal articles.

conclusionSignificant advances in the understanding of the pathology of acute myeloid leukemia have led to refined risk stratification of patients and application of novel targeted therapies based on genetic profiles. Minimal residual disease testing allows for highly sensitive disease surveillance that can be used to predict relapse and assess treatment response. IMPLICATIONS FOR NURSING PRACTICE: Accurate prognostication and therapeutic decision-making for patients with acute myeloid leukemia is dependent on molecular profiling. Being knowledgeable of the implications of minimal residual disease testing is critical for patient-centered care.

Indexed as

Genetic ProfileHumansLeukemia, Myeloid, AcuteNeoplasm, ResidualPeer Review, ResearchPrognosisRecurrenceRisk Assessmentacute myeloid leukemia (AML)geneticsminimal residual disease (MRD)molecular targeted therapiesmutations prognosis

Identifiers

PMID31759819
PMCPMC10246438
OpenAlexW2990799793

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.