Evidence map›Paper›PMID 32280729›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2020

Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data.

Rahul Paul, Matthew B Schabath, Robert Gillies, Lawrence O Hall, Dmitry B Goldgof

Open access · greenAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Risk prediction for lung cancer screening: a systematic review and meta-regression.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
  2. Article
  3. Review
  4. 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 2 institutions in 1 country.

Rahul PaulUniversity of South Florida, Department of Computer Science and Engineering, Tampa, Florida, United States.ORCID https://orcid.org/0000-0003-1491-1166
Matthew B SchabathH. L. Moffitt Cancer Center and Research Institute, Department of Cancer Epidemiology, Tampa, Florida, United States.ORCID https://orcid.org/0000-0003-3241-3216
Robert GilliesH. L. Moffitt Cancer Center and Research Institute, Department of Cancer Physiology, Tampa, Florida, United States.ORCID https://orcid.org/0000-0002-8888-7747
Lawrence O HallUniversity of South Florida, Department of Computer Science and Engineering, Tampa, Florida, United States.ORCID https://orcid.org/0000-0002-7898-8456
Dmitry B GoldgofUniversity of South Florida, Department of Computer Science and Engineering, Tampa, Florida, United States.ORCID https://orcid.org/0000-0001-5461-863X
University of South Florida · USMoffitt Cancer Center · US

Funding

Quantitative Imaging Clinical Validation Center at Moffitt Cancer CenterU01CA200464 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI JOHN J HEINE, Matthew B. Schabath · 2016 to 2026
$9.2M
Radiomics of NSCLCU01CA143062 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GILLIES, ROBERT J., SCHABATH, MATTHEW B. · 2010 to 2020
$5.7M
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&DiscoveryU24CA180927 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KALPATHY-CRAMER, JAYASHREE, ROSEN, BRUCE R · 2014 to 2018
$3.4M
NCI NIH HHS U01 CA143062NCI NIH HHS U01 CA200464NCI NIH HHS U24 CA180927
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

convolutional neural networkensemblelow-dose CTNational Lung Screening Trialnon-small-cell lung cancerradiomics

Identifiers

PMID32280729
PMCPMC7134617
OpenAlexW3016204330

What OpenQuestion holds

Textmetadata
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.