Evidence map›Paper›PMID 37324009›Full record

ArticleFrontiers in oncology2023

Corrigendum: Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan.

Chao-Chun Chang, En-Kuei Tang, Yu-Feng Wei, Chia-Ying Lin, Fu-Zong Wu, Ming-Ting Wu, Yi-Sheng Liu, Yi-Ting Yen, Mi-Chia Ma, Yau-Lin Tseng

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

Article in Frontiers in oncology, 2023. 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

10 authors.

Chao-Chun ChangDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
En-Kuei TangDivision of Thoracic Surgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Yu-Feng WeiSchool of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.
Chia-Ying LinDepartment of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Fu-Zong WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Ming-Ting WuDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Yi-Sheng LiuDepartment of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yi-Ting YenDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Mi-Chia MaDepartment of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, Taiwan.
Yau-Lin TsengDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fonc.2023.1105100.].

Indexed as

convolutional neural networksdeep learningmachine learningprevascular mediastinal tumorradiomics

Identifiers

PMID37324009
PMCPMC10266095

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.