Evidence map›Paper›PMID 39801663›Full record

ArticleWorld journal of radiology2024

Update report on the quality of gliomas radiomics: An integration of bibliometric and radiomics quality score.

Xu Cao, Ming Xiong, Zhi Liu, Jing Yang, Yu-Bo Kan, Li-Qiang Zhang, Yan-Hui Liu, Ming-Guo Xie, Xiao-Fei Hu

Abstract read
In one paragraph

Article in World journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Xu CaoDepartment of Radiology, The People's Hospital of Shifang, Deyang 618400, Sichuan Province, China.
Ming XiongDepartment of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Zhi LiuDepartment of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400000, China.
Jing YangDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Yu-Bo KanSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China.
Li-Qiang ZhangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Yan-Hui LiuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
Ming-Guo XieDepartment of Radiology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 500643, Sichuan Province, China.
Xiao-Fei HuDepartment of Nuclear Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the increasing number of publications on glioma radiomics, challenges persist in clinical translation.

aimTo assess the development and reporting quality of radiomics in brain gliomas since 2019.

methodsA bibliometric analysis was conducted to reveal trends in brain glioma radiomics research. The Radiomics Quality Score (RQS), a metric for evaluating the quality of radiomics studies, was applied to assess the quality of adult-type diffuse glioma studies published since 2019. The total RQS score and the basic adherence rate for each item were calculated. Subgroup analysis by journal type and research objective was performed, correlating the total RQS score with journal impact factors.

resultsThe radiomics research in glioma was initiated in 2011 and has witnessed a surge since 2019. Among the 260 original studies, the median RQS score was 11, correlating with a basic compliance rate of 46.8%. Subgroup analysis revealed significant differences in domain 1 and its subitems (multiple segmentations) across journal types (

conclusionGlioma radiomics research quality has improved since 2019 but necessitates further advancement with higher publication standards.

Indexed as

Adult-typeBibliometricsGliomaQuality scoreRadiomics

Identifiers

PMID39801663
PMCPMC11718527

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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.