Evidence map›Paper›PMID 35975886›Full record

ArticleAJR. American journal of roentgenology2023

Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study.

Simon Iseke, Tal Zeevi, Ahmet S Kucukkaya, Rajiv Raju, Moritz Gross, Stefan P Haider, Alexandra Petukhova-Greenstein, Tom N Kuhn, MingDe Lin, Michal Nowak and 7 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AJR. American journal of roentgenology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Simon IsekeDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Tal ZeeviDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Ahmet S KucukkayaDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Rajiv RajuDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Moritz GrossDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Stefan P HaiderDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Alexandra Petukhova-GreensteinDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Tom N KuhnDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
MingDe LinDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Michal NowakDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Kirsten CooperDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Elizabeth ThomasDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Marc-André WeberDepartment of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
David C MadoffDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Lawrence StaibDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Ramesh BatraDepartment of Surgery, Transplantation and Immunology, Yale University School of Medicine, New Haven, CT.
Julius ChapiroDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, 300 Cedar St, New Haven, CT 06520.
Yale University · USUniversity of Rostock · DECharité - Universitätsmedizin Berlin · DESage Technologies (United States) · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Quantitative Multimodal Imaging Biomarkers for Combined Locoregional and Immunotherapy of Liver CancerR01CA206180 · NCI · YALE UNIVERSITY · PI CHAPIRO, JULIUS, DUNCAN, JAMES S · 2016 to 2025
$6.1M
NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA206180
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesRisk Factorshepatocellular carcinomaliver transplantationlocal neoplasm recurrencemachine learningMRIneoplasm recurrence

Identifiers

PMID35975886
PMCPMC10015590
OpenAlexW4292099569

What OpenQuestion holds

Textmetadata
LicenceTDM
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.