Evidence map›Paper›PMID 38976876›Full record

ArticleBlood2025

How I treat acute myeloid leukemia with differentiation therapy.

Ghayas C Issa, Eytan M Stein, Courtney D DiNardo

Abstract readCase Reports
In one paragraph

Article in Blood, 2025. 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
–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

29 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

3 authors.

Ghayas C IssaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-4339-8683
Eytan M SteinLeukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Courtney D DiNardoDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9003-0390

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

abstractAn increasing number of acute myeloid leukemia (AML) therapeutics have been developed, not as cytotoxic therapies but rather as targeted agents able to restore the aberrant and leukemogenic "block" in normal differentiation. All-trans retinoic acid and arsenic trioxide are classic examples of differentiating agents for treatment of acute promyelocytic leukemia (APL); newer therapies functioning through differentiation include isocitrate dehydrogenase 1 and 2 inhibitors, FMS-like tyrosine kinase 3 inhibitors, and menin inhibitors. The terminal differentiation of leukemic blasts via differentiating-agent therapy can lead to a constellation of signs and symptoms, originally referred to as "retinoic acid syndrome" and now termed "differentiation syndrome" (DS), characterized predominantly by systemic inflammatory response system-like features of dyspnea, pulmonary infiltrates, pleural and pericardial effusions, unexplained fevers, hypotension, edema, and renal insufficiency. DS in patients with newly diagnosed APL is generally straightforward to identify; however, DS in patients with multiply relapsed AML can be more challenging to diagnose, due to nonspecific signs and symptoms that can be mistakenly attributed to infectious etiologies or the underlying refractory leukemia itself. Prompt consideration of DS, rapid initiation of systemic corticosteroids, and early cytoreduction in the setting of concomitant hyperleukocytosis are essential for optimal management.

Indexed as

Antineoplastic AgentsCell DifferentiationLeukemia, Myeloid, AcuteTretinoinArsenic TrioxideHumansAntineoplastic AgentsArsenic TrioxideTretinoin

Identifiers

PMID38976876
PMCPMC11952016

What OpenQuestion holds

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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.