Evidence map›Paper›PMID 33544265›Full record

ReviewCurrent oncology reports2021

Mixed Phenotype Acute Leukemia: Current Approaches to Diagnosis and Treatment.

Thomas B Alexander, Etan Orgel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

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  15. Acute leukemia withLeukemia research reports · 2024
    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

2 authors at 2 institutions in 1 country.

Thomas B AlexanderUniversity of North Carolina, 170 Manning Drive, 1185A Physicians Office Building, CB # 7236, Chapel Hill, NC, 27599, USA. talex@email.unc.edu.ORCID 0000-0002-0484-1574
Etan OrgelChildren's Hospital Los Angeles, 4650 Sunset Blvd, MS 54, Los Angeles, CA, 90027, USA.ORCID 0000-0002-1487-6818
Children's Hospital of Los Angeles · USUniversity of North Carolina Health Care · US

Funding

UNC Oncology K12K12CA120780 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLIAM Y. KIM · 2007 to 2026
$9.6M
NCI NIH HHS K12 CA120780
6 · The paper itself

Abstract

purpose of reviewMixed phenotype acute leukemia (MPAL) is a rare subtype of acute leukemia with features of both acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). The review examines current definitions and controversies in classification of MPAL, new insights into genomic drivers and pathogenesis, recent evidence to support treatment recommendations, and opportunities for future research. RECENT

findingsRecent collaborative efforts have made progress in understanding the genomic landscape and optimal therapy for MPAL. The preponderance of retrospective data supports beginning therapy with ALL directed regimens. Differences in prognosis for adult and children with MPAL have led to divergent approaches for therapy intensity, including use of stem cell transplantation consolidation. MPAL remains a challenging leukemia to understand, research, and treat due to low incidence, shifting and subjective approaches to classification, and innate biological heterogeneity. Ongoing research hopes to surmount these obstacles through prospective studies within large cooperative groups to provide new insight into targetable biology and further refine optimal therapy.

Indexed as

HumansLeukemia, Myeloid, AcutePrecursor Cell Lymphoblastic Leukemia-LymphomaPrognosisAmbiguousClassificationGenomicsImmunophenotypeLeukemiaMixed phenotypeTreatment

Identifiers

PMID33544265
OpenAlexW3127625121

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.