Evidence map›Paper›PMID 42188361›Full record

ReviewJournal of personalized medicine2026

Evolving Management Approaches Toward Personalized Therapy in Acute Myeloid Leukemia: A Narrative Review.

Pasquale Niscola, Valentina Gianfelici, Marco Giovannini, Carla Mazzone, Maria Ilaria Del Principe

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Pasquale NiscolaHematology Unit, Medical Area Department, S. Eugenio Hospital (ASL Roma 2), 00144 Rome, Italy.ORCID 0000-0002-2226-6518
Valentina GianfeliciHematology Unit, Medical Area Department, S. Eugenio Hospital (ASL Roma 2), 00144 Rome, Italy.
Marco GiovanniniHematology Unit, Medical Area Department, S. Eugenio Hospital (ASL Roma 2), 00144 Rome, Italy.
Carla MazzoneHematology Unit, Medical Area Department, S. Eugenio Hospital (ASL Roma 2), 00144 Rome, Italy.
Maria Ilaria Del PrincipeHematology Unit, Medical Area Department, S. Eugenio Hospital (ASL Roma 2), 00144 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After many years of stagnation in the treatment of acute myeloid leukemia (AML), there is currently a rapid move towards personalized medicine. Improvements in molecular diagnostics, risk assessment tools, targeted therapies, overall patient fitness assessments, and quality-of-life assessments have significantly changed how patients are treated. Genetic and molecular analyses, risk and health assessments, and measurable residual disease (MRD) monitoring are now integral to the treatment plan for evaluating patient responses and recurrence. In this regard, lower-intensity treatments are provided to older or unfit individuals. On the other hand, younger patients are usually subjected to curative therapies such as intensive chemotherapy to induce remission. Depending on their fitness and disease risk, they can be considered for hematopoietic cell transplantation, which is done after close observation for MRD. In addition, newer therapeutic drugs and immunotherapy techniques are being applied for patient management. Tremendous strides have been made in improving the efficiency of treatment programs in the relatively new area of personalized AML therapy, with a focus on functionality.

Indexed as

acute myeloid leukemiaageCPX-351fitnessFLT3 inhibitorsgenomic mutationshypomethylating agentsIDH inhibitorsmeasurable residual diseasemenin inhibitorsmolecular profilingpersonalized medicineprognosistargeted therapyvenetoclax

Identifiers

PMID42188361
PMCPMC13208759

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.