Evidence map›Paper›PMID 34490297›Full record

ArticleFrontiers in medicine2021

Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction.

Zeina A Shboul, Norou Diawara, Arastoo Vossough, James Y Chen, Khan M Iftekharuddin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. 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
0.3field-weighted citation impact, top 49% of its field
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, 4 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 3 institutions in 1 country.

Zeina A ShboulVision Lab, Department of Electrical & Computer Engineering, Old Dominion University, Norfolk, VA, United States.
Norou DiawaraDepartment of Mathematics & Statistics, Old Dominion University, Norfolk, VA, United States.
Arastoo VossoughDepartment of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States.
James Y ChenUniversity of California, San Diego Health System, San Diego, CA, United States.
Khan M IftekharuddinVision Lab, Department of Electrical & Computer Engineering, Old Dominion University, Norfolk, VA, United States.
Old Dominion University · USChildren's Hospital of Philadelphia · USUniversity of California, San Diego · US

Funding

Quantitative imaging and molecular data modeling for brain tumor recurrence and progression analysisR01EB020683 · NIBIB · OLD DOMINION UNIVERSITY · PI Khan M Iftekharuddin · 2016 to 2026
$3.2M
NIBIB NIH HHS R01 EB020683
6 · The paper itself

Abstract

RNA sequencing (RNAseq) is a recent technology that profiles gene expression by measuring the relative frequency of the RNAseq reads. RNAseq read counts data is increasingly used in oncologic care and while radiology features (radiomics) have also been gaining utility in radiology practice such as disease diagnosis, monitoring, and treatment planning. However, contemporary literature lacks appropriate

Indexed as

molecular mutationnegative binomialradiogenomicsradiomicsRNA sequencing

Identifiers

PMID34490297
PMCPMC8416908
OpenAlexW3194105938

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.