Evidence map›Paper›PMID 31564237›Full record

ArticleTechnology in cancer research & treatment2019

Prediction of IDH Status Through MRI Features and Enlightened Reflection on the Delineation of Target Volume in Low-Grade Gliomas.

Haixia Ding, Yong Huang, Zhiqiang Li, Sirui Li, Qiongrong Chen, Conghua Xie, Yahua Zhong

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  14. Non-Invasive Estimation of GliomaFrontiers in oncology · 2020
    Article
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

7 authors at 1 institution in 1 country.

Haixia DingDepartment of Chemotherapy and Radiation Therapy, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.ORCID 0000-0002-1397-2883
Yong HuangDepartment of Chemotherapy and Radiation Therapy, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.
Zhiqiang LiDepartment of Neurologic Surgery, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.
Sirui LiDepartment of Radiology, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.
Qiongrong ChenDepartment of Pathology, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.
Conghua XieDepartment of Chemotherapy and Radiation Therapy, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.
Yahua ZhongDepartment of Chemotherapy and Radiation Therapy, Zhongnan Hospital, Wuhan University, Wuchang District, Wuhan, China.ORCID 0000-0003-2573-1080
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isocitrate dehydrogenase mutational status defines distinct biologic behavior and clinical outcomes in low-grade gliomas. We sought to determine magnetic resonance imaging characteristics associated with isocitrate dehydrogenase mutational status to evaluate the predictive roles of magnetic resonance imaging features in isocitrate dehydrogenase mutational status and therefore their potential impact on the determination of clinical target volume in radiotherapy. Forty-eight isocitrate dehydrogenase-mutant and 28 isocitrate dehydrogenase-wild-type low-grade gliomas were studied. Isocitrate dehydrogenase mutation was related to more frequency of cortical involvement compared to isocitrate dehydrogenase-wild-type group (34/46 vs 6/24,

Indexed as

Magnetic Resonance ImagingAdultBrain NeoplasmsFemaleGliomaHumansIsocitrate DehydrogenaseMaleMiddle AgedNeoplasm GradingROC CurveSpectrum AnalysisTumor BurdenIsocitrate Dehydrogenasedelineation of target volumeisocitrate dehydrogenaselow-grade gliomasmagnetic resonance imagingradiotherapy

Identifiers

PMID31564237
PMCPMC6767744
OpenAlexW2978950873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.