Evidence map›Paper›PMID 40727567›Full record

ArticleLeukemia research reports2025

Diagnostic and prognostic relevance of

Seyedeh Kosar Rahimpour, Yasin Mirazimi, Seyedeh Zahra Shahrokhi, Mohammad Sayyadi, Maryam Kargar, Mohammad Rafiee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Leukemia research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Seyedeh Kosar RahimpourDepartment of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran.
Yasin MirazimiDepartment of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran.
Seyedeh Zahra ShahrokhiDepartment of Biochemistry, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran.
Mohammad SayyadiDepartment of Medical Laboratory Sciences, School of Allied Medical Sciences, Arak University of Medical Sciences, Arak, Iran.
Maryam KargarDepartment of Laboratory Hematology and Blood Bank, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad RafieeDepartment of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute Myeloid Leukemia (AML) demands precise diagnostic and prognostic tools for accurate detection and personalized-treatment strategies. Using Real-Time PCR, we investigated the RAF1, miR-146 b-3p, and Circ-RPL15 network expression in AML. Because RAF1 is a crucial gene involved in various ways, it is considered a potential biomarker for prognosis and diagnosis. While no significant correlation was found within the network, RAF1 expression showed a marked difference between groups. ROC curve analysis for RAF1 demonstrated promising diagnostic performance, and our bioinformatics investigations supported its strong prognostic potential. Identifying such biomarkers can aid in developing better management based on patients' characteristics.

Indexed as

Acute myeloid leukemiaCirc-RPL15DiagnosismiR-146b-3pPrognosisRAF1

Identifiers

PMID40727567
PMCPMC12301803

What OpenQuestion 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 OpenQuestion graph.