Evidence map›Paper›PMID 33900434›Full record

ArticleEuropean radiology2021

Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.

Robin Wang, Yeyu Cai, Iris K Lee, Rong Hu, Subhanik Purkayastha, Ian Pan, Thomas Yi, Thi My Linh Tran, Shaolei Lu, Tao Liu and 7 more

Abstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in European radiology, 2021. 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.

Robin WangDepartment of Radiology, the Second Xiangya Hospital, Central South University, Changsha, China.
Yeyu CaiDepartment of Radiology, the Second Xiangya Hospital, Central South University, Changsha, China.
Iris K LeePerelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Rong HuSchool of Computer Science and Engineering, Central South University, Changsha, China.
Subhanik PurkayasthaDepartment of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, USA.
Ian PanWarren Alpert Medical School at Brown University, Providence, RI, USA.
Thomas YiWarren Alpert Medical School at Brown University, Providence, RI, USA.
Thi My Linh TranWarren Alpert Medical School at Brown University, Providence, RI, USA.
Shaolei LuDepartment of Pathology, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, USA.
Tao LiuDepartment of Biostatistics, Center for Statistical Sciences, Brown University School of Public Health, Providence, RI, USA.
Ken ChangDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Raymond Y HuangDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Paul J ZhangDepartment of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Zishu ZhangDepartment of Radiology, the Second Xiangya Hospital, Central South University, Changsha, China.
Enhua XiaoDepartment of Radiology, the Second Xiangya Hospital, Central South University, Changsha, China.
Jing WuDepartment of Radiology, the Second Xiangya Hospital, Central South University, Changsha, China. wujing622@csu.edu.cn.
Harrison X BaiDepartment of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, USA. Harrison_Bai@Brown.edu.ORCID https://orcid.org/0000-0002-9614-2163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33900434

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.