Evidence map›Paper›PMID 39198271›Full record

ReviewAnnals of hematology2024

Recent advancements in biomarkers, therapeutics, and associated challenges in acute myeloid leukemia.

Suresh Kumar Prajapati, Neha Kumari, Doulat Bhowmik, Reeshu Gupta

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Research priorities to address supportive care needs in acute myeloid leukaemia (AML)-results from a Delphi survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Review
  8. 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.

Suresh Kumar PrajapatiResearch and Development Cell, Parul Institute of Applied Sciences, Parul University, Vadodara, 391760, India.
Neha KumariParul Institute of Applied Sciences, Parul University, Vadodara, 380060, India.
Doulat BhowmikParul Institute of Applied Sciences, Parul University, Vadodara, 380060, India.
Reeshu GuptaResearch and Development Cell, Parul Institute of Applied Sciences, Parul University, Vadodara, 391760, India. reeshu.gupta25198@paruluniversity.ac.in.ORCID http://orcid.org/0000-0002-1743-4388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a common type of leukemia that has a high mortality rate. The reasons for high mortality in patients with AML are therapeutic resistance, limited ability to predict duration of response, and likelihood of cancer relapse. Biomarkers, such as leukemic stem cell biomarkers, circulatory biomarkers, measurable residual disease biomarkers, and molecular biomarkers, are used for prognosis, diagnosis, and targeted killing to selectively eliminate AML cells. They also play an indispensable role in providing therapeutic resistance to patients with AML. Therefore, targeting these biomarkers will improve the outcome of AML patients. However, identifying biomarkers that can differentiate between treatment-responsive and non-responsive AML patients remains a challenge. This review discusses recent advancements in AML biomarkers, promising therapeutics, and associated challenges in the treatment of AML.

Indexed as

Biomarkers, TumorLeukemia, Myeloid, AcuteDrug Resistance, NeoplasmHumansNeoplasm, ResidualNeoplastic Stem CellsPrognosisBiomarkers, TumorAcute myeloid leukemiaClinical trialsLeukemia stem cellsTherapeutic resistance

Identifiers

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.