Evidence map›Paper›PMID 36437821›Full record

ArticleFrontiers in radiology2022

An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study.

Pranjal Vaidya, Mehdi Alilou, Amogh Hiremath, Amit Gupta, Kaustav Bera, Jennifer Furin, Keith Armitage, Robert Gilkeson, Lei Yuan, Pingfu Fu and 3 more

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

Article in Frontiers in radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

13 authors at 6 institutions in 2 countries.

Pranjal VaidyaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Mehdi AlilouDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Amogh HiremathDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Amit GuptaDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Jennifer FurinDepartment of Infectious Diseases, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
Keith ArmitageDepartment of Infectious Diseases, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
Robert GilkesonDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
Lei YuanDepartment of Information Center, Renmin Hospital of Wuhan University, Wuhan, China.
Pingfu FuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States.
Cheng LuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Mengyao JiDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Case Western Reserve University · USUniversity Hospitals of Cleveland · USLouis Stokes Cleveland VA Medical Center · USMaimonides Medical Center · USRenmin Hospital of Wuhan University · CNWuhan University · CN

Funding

Software to facilitate multimode, multiscale fused data for Pathology and RadioloR01CA136535 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, MICHAEL D, MADABHUSHI, ANANT · 2009 to 2013
$3.2M
Prognostic and Predictive Digital Tissue Image Assay for Prostate CancerR01CA268287 · NCI · EMORY UNIVERSITY · PI GUPTA, SHILPA, LAL, PRITI · 2022 to 2025
$3.0M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
RADIOMIC APPROACHES TO IMPROVE TARGETING FOR ATRIAL FIBRILLATION CATHETER ABLATIONR01HL158071 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI BARNARD, JOHN, CHUNG, MINA KAY · 2021 to 2024
$2.9M
Pathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9M
Novel Radiomics for Predicting Response to Immunotherapy for Lung CancerR01CA257612 · NCI · EMORY UNIVERSITY · PI Anant Madabhushi, Vamsidhar Velcheti · 2021 to 2026
$2.7M
An AI-enabled Digital Pathology Platform for Multi-Cancer Diagnosis, Prognosis and Prediction of Therapeutic BenefitU01CA269181 · NCI · EMORY UNIVERSITY · PI Anant Madabhushi, tanuja shet · 2022 to 2026
$2.5M
Decision support with MRI for targeting, evaluating laser ablation for prostate cR21CA167811 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI MADABHUSHI, ANANT · 2012 to 2013
$516k
Detecting Prostate Cancer using multi-protocol 3 Tesla in vivo MRI and MRSR21CA127186 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI MADABHUSHI, ANANT · 2007 to 2009
$403k
Computerized morphologic-molecular predictor of progression in DCISR21CA195152 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI BADVE, SUNIL S., MADABHUSHI, ANANT · 2015 to 2016
$388k
Decision Support System for Predicting outcome of ER+ breast cancersR43EB015199 · NIBIB · IBRIS, INC. · PI GANESAN, SHRIDAR, HARDING, DAVE · 2011 to 2011
$207k
Detecting pre-cancerous lesions from high resolution prostate MRIR03CA128081 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI MADABHUSHI, ANANT · 2007 to 2008
$159k
BLRD VA I01 BX004121BLRD VA IK6 BX006185NCI NIH HHS R01 CA136535NCI NIH HHS R01 CA208236NCI NIH HHS R01 CA257612NCI NIH HHS R01 CA268287NCI NIH HHS R03 CA128081NCI NIH HHS R21 CA127186NCI NIH HHS R21 CA167811NCI NIH HHS R21 CA195152NCI NIH HHS U01 CA269181NCI NIH HHS U24 CA199374NHLBI NIH HHS R01 HL158071NIBIB NIH HHS R43 EB015199
6 · The paper itself

Abstract

Objective: The disease COVID-19 has caused a widespread global pandemic with ~3. 93 million deaths worldwide. In this work, we present three models-radiomics (M Methods: We performed a retrospective multicohort study of individuals with COVID-19-positive findings for a total of 897 patients from two different institutions (Renmin Hospital of Wuhan University, D Results: The three out of the top five features identified using Conclusion: The novel integrated imaging and clinical model (M

Indexed as

COVID-19nomogramperitumoral radiomicsprognosisradiomicsseverity

Identifiers

PMID36437821
PMCPMC9696643
OpenAlexW4226182333

What OpenQuestion holds

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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.