Evidence map›Paper›PMID 35669430›Full record

ArticleFrontiers in oncology2022

Effect of CRISPR Knockout of

Lobna Elkhadragy, Kimia Dasteh Goli, William M Totura, Maximillian J Carlino, Maureen R Regan, Grace Guzman, Lawrence B Schook, Ron C Gaba, Kyle M Schachtschneider

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Pigs: Large Animal Preclinical Cancer Models.World journal of oncology · 2024
    Review
  5. Review
  6. 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

9 authors at 2 institutions in 1 country.

Lobna ElkhadragyDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Kimia Dasteh GoliDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
William M ToturaDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Maximillian J CarlinoDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Maureen R ReganDepartment of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, United States.
Grace GuzmanDepartment of Pathology, University of Illinois at Chicago, Chicago, IL, United States.
Lawrence B SchookDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Ron C GabaDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Kyle M SchachtschneiderDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
University of Illinois Chicago · USNational Center for Supercomputing Applications · US

Funding

Implications of Driver Mutations for Progression of Hepatocellular CarcinomaR21CA219461 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GABA, RON C, SCHACHTSCHNEIDER, KYLE · 2019 to 2020
$382k
NCI NIH HHS R21 CA219461
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is an aggressive disease lacking effective treatment. Animal models of HCC are necessary for preclinical evaluation of the safety and efficacy of novel therapeutics. Large animal models of HCC allow testing image-guided locoregional therapies, which are widely used in the management of HCC. Models with precise tumor mutations mimicking human HCC provide valuable tools for testing precision medicine.

Indexed as

ARID1AAXIN1CRISPRgene knockouthepatocellular carcinomaliver cancerporcine models

Identifiers

PMID35669430
PMCPMC9163418
OpenAlexW4280600724

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.