Evidence map›Paper›PMID 40303498›Full record

ArticleInternational journal of medical sciences2025

Analysis of the Relationship Between

Jae-Seung Jeong, Hyunsu Ju, Chi-Hyun Cho

Abstract read
In one paragraph

Article in International journal of medical sciences, 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

3 authors.

Jae-Seung JeongDivision of Artificial Intelligence Convergence Engineering, Sahmyook University, 01795, Republic of Korea.
Hyunsu JuPost-Silicon Semiconductor Institute, Korea Institute of Science and Technology, 02792, Republic of Korea.
Chi-Hyun ChoDepartment of Laboratory Medicine, College of Medicine, Korea University Ansan Hospital, 15355, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study measures expression of

Indexed as

CytokinesHematologic NeoplasmsMachine LearningNF-kappa B p50 SubunitArtificial IntelligenceBayes TheoremBiomarkers, TumorCaspase 1FemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedBiomarkers, TumorCaspase 1CytokinesNF-kappa B p50 SubunitNFKB1 protein, humanNF-κB / Hematological Malignancy / Machine Learning Classifiers / Explainable Artificial Intelligence / Small Data Adaptation

Identifiers

PMID40303498
PMCPMC12035828

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.