Evidence map›Paper›PMID 32793812›Full record

ArticleNPJ digital medicine2020

Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.

Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L Ball, Norah Borus, Andrew Huang, Bhavik N Patel, Pranav Rajpurkar, Jeremy Irvin and 7 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Shih-Cheng Huang *Department of Biomedical Data Science, Stanford University, Stanford, CA USA.ORCID 0000-0001-9882-833X
Tanay Kothari *Department of Computer Science, Stanford University, Stanford, CA USA.
Imon BanerjeeDepartment of Biomedical Data Science, Stanford University, Stanford, CA USA.ORCID 0000-0002-3327-8004
Chris ChuteDepartment of Computer Science, Stanford University, Stanford, CA USA.
Robyn L BallCenter for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, CA USA.
Norah BorusDepartment of Computer Science, Stanford University, Stanford, CA USA.
Andrew HuangDepartment of Computer Science, Stanford University, Stanford, CA USA.
Bhavik N PatelDepartment of Radiology, Stanford University, Stanford, CA USA.ORCID 0000-0001-5157-9903
Pranav RajpurkarDepartment of Computer Science, Stanford University, Stanford, CA USA.
Jeremy IrvinDepartment of Computer Science, Stanford University, Stanford, CA USA.
Jared DunnmonDepartment of Radiology, Stanford University, Stanford, CA USA.
Joseph BledsoeDepartment of Emergency Medicine, Intermountain Medical Center, Salt Lake Valley, UT USA.
Katie ShpanskayaDepartment of Radiology, Stanford University, Stanford, CA USA.
Abhay DhaliwalMichigan State University, College of Human Medicine, East Lansing, MI USA.
Roham ZamanianDepartment of Pulmonary Critical Care Medicine, Stanford University, Stanford, CA USA.
Andrew Y NgDepartment of Computer Science, Stanford University, Stanford, CA USA.
Matthew P LungrenDepartment of Biomedical Data Science, Stanford University, Stanford, CA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.1038/s41746-020-0266-y.].

Indexed as

Cardiovascular diseasesRadiography

Identifiers

PMID32793812
PMCPMC7387525

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.