Evidence map›Paper›PMID 38634050›Full record

ArticleFrontiers in oncology2024

Corrigendum: Radiomic machine learning and external validation based on 3.0T mpMRI for prediction of intraductal carcinoma of prostate with different proportion.

Ling Yang, Zhengyan Li, Xu Liang, Jingxu Xu, Yusen Cai, Chencui Huang, Mengni Zhang, Jin Yao, Bin Song

Open access · goldAbstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2024. 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, top 93% 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Ling Yang *Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Zhengyan Li *Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Xu LiangDepartment of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jingxu XuDepartment of Research Collaboration, R&D center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
Yusen CaiDepartment of Research Collaboration, R&D center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
Chencui HuangDepartment of Research Collaboration, R&D center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
Mengni ZhangDepartment of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Jin Yao *Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Bin Song *Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNCenter for High Pressure Science & Technology Advanced Research · CNSichuan University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fonc.2022.934291.].

Indexed as

intraductal carcinomamachine learningmultiparametric MRIprostate cancerradiomics

Identifiers

PMID38634050
PMCPMC11022688
OpenAlexW4393871267

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.