Evidence map›Paper›PMID 33415179›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids.

Jordan D Fuhrman, Jun Chen, Zegang Dong, Fleming Y M Lure, Zhe Luo, Maryellen L Giger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Lessons learned in transitioning to AI in the medical imaging of COVID-19.Journal of medical imaging (Bellingham, Wash.) · 2021
    Review
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.

Jordan D FuhrmanThe University of Chicago, Committee on Medical Physics, Department of Radiology, Chicago, United States.
Jun ChenRenmin Hospital of Wuhan University, Department of Radiology, Wuhan, China.
Zegang DongMS Technologies Corp., Rockville, Maryland, United States.
Fleming Y M LureMS Technologies Corp., Rockville, Maryland, United States.
Zhe LuoFudan University, Zhongshan Hospital, Department of Critical Care Medicine, Shanghai, China.
Maryellen L GigerThe University of Chicago, Committee on Medical Physics, Department of Radiology, Chicago, United States.ORCID https://orcid.org/0000-0001-5482-9728

Funding

RESEARCH TRAINING IN MEDICAL PHYSICST32EB002103 · NIBIB · UNIVERSITY OF CHICAGO · PI ARMATO, SAMUEL G. · 2003 to 2019
$4.7M
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to ADR42AG053149 · NIA · MS TECHNOLOGIES CORPORATION · PI LI, JING, LURE, FLEMING Y. M. · 2020 to 2021
$2.5M
Protected Radiomics Analysis Commons for Deep Learning in Biomedical DiscoveryS10OD025081 · OD · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2018 to 2018
$339k
High-Performance Computer Cluster for Image AnalysisS10RR021039 · NCRR · UNIVERSITY OF CHICAGO · PI NISHIKAWA, ROBERT M · 2007 to 2007
$230k
NCRR NIH HHS S10 RR021039NIA NIH HHS R42 AG053149NIBIB NIH HHS T32 EB002103NIH HHS S10 OD025081
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computed tomographycoronavirus disease-19deep learningmethylprednisolonetransfer learning

Identifiers

PMID33415179
PMCPMC7773028

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.