Evidence map›Paper›PMID 32042859›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2020

Interpretation time for screening mammography as a function of the number of computer-aided detection marks.

Tayler M Schwartz, Stephen L Hillis, Radhika Sridharan, Olga Lukyanchenko, William Geiser, Gary J Whitman, Wei Wei, Tamara Miner Haygood

Open access · hybridAbstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 5 institutions in 2 countries.

Tayler M SchwartzBrown University, Warren Alpert Medical School, Providence, Rhode Island, United States.
Stephen L HillisUniversity of Iowa City, Iowa City, Iowa, United States.ORCID https://orcid.org/0000-0002-4886-8584
Radhika SridharanUKM Medical Centre, Kuala Lumpur, Malaysia.
Olga LukyanchenkoUniversity of Texas MD Anderson Cancer Center, Houston, Texas, United States.
William GeiserUniversity of Texas MD Anderson Cancer Center, Houston, Texas, United States.
Gary J WhitmanUniversity of Texas MD Anderson Cancer Center, Houston, Texas, United States.
Wei WeiTaussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, United States.
Tamara Miner HaygoodUniversity of Texas MD Anderson Cancer Center, Houston, Texas, United States.
The University of Texas MD Anderson Cancer Center · USBrown University · USCleveland Clinic · USUniversity Kebangsaan Malaysia Medical Centre · MYUniversity of Iowa · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
Generalized Obuchowski-Rockette Methodology for Analysis of Radiologic Diagnostic Imaging StudiesR01EB025174 · NIBIB · UNIVERSITY OF IOWA · PI HILLIS, STEPHEN LAWRENCE · 2018 to 2021
$2.0M
Modern ROC Software for Multi- and Single-Reader Diagnostic Imaging StudiesR01EB019967 · NIBIB · UNIVERSITY OF IOWA · PI SCHARTZ, KEVIN M. · 2015 to 2017
$1.2M
Power and Sample-Size Methodology for Radiology ResearchR01EB013667 · NIBIB · UNIVERSITY OF IOWA · PI HILLIS, STEPHEN LAWRENCE · 2012 to 2014
$990k
NCI NIH HHS P30 CA016672NIBIB NIH HHS R01 EB013667NIBIB NIH HHS R01 EB019967NIBIB NIH HHS R01 EB025174
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computer-aided detectionimage perceptionobserver performance evaluationtechnology impact

Identifiers

PMID32042859
PMCPMC6996587
OpenAlexW3004989546

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.