Evidence map›Paper›PMID 33755766›Full record

ArticleNeuroradiology2021

Dynamic contrast-enhanced MRI may be helpful to predict response and prognosis after bevacizumab treatment in patients with recurrent high-grade glioma: comparison with diffusion tensor and dynamic susceptibility contrast imaging.

Yae Won Park, Sung Soo Ahn, Ju Hyung Moon, Eui Hyun Kim, Seok-Gu Kang, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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  5. Review
  6. Review
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

8 authors at 1 institution in 1 country.

Yae Won ParkDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
Sung Soo AhnDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea. sungsoo@yuhs.ac.ORCID http://orcid.org/0000-0002-0503-5558
Ju Hyung MoonDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Eui Hyun KimDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Seok-Gu KangDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Jong Hee ChangDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Se Hoon KimDepartment of Pathology, Yonsei University College of Medicine, Seoul, Korea.
Seung-Koo LeeDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.
Yonsei University · KR

Funding

Korea Basic Science Institute 2020R1A2C1003886Korea Basic Science Institute 2020R1I1A1A01071648
6 · The paper itself

Abstract

purposeWe aimed to evaluate the utility of diffusion tensor imaging (DTI), dynamic contrast-enhanced (DCE), and dynamic susceptibility contrast (DSC) imaging for stratifying bevacizumab treatment outcomes in patients with recurrent high-grade glioma.

methodsFifty-three patients with recurrent high-grade glioma who underwent baseline magnetic resonance imaging including DTI, DCE, and DSC before bevacizumab treatment were included. The mean apparent diffusion coefficient, fractional anisotropy, normalized cerebral blood volume, normalized cerebral blood flow, volume transfer constant, rate transfer coefficient (K

resultsResponders (n = 16) showed significantly longer PFS and OS (P < 0.001) compared with nonresponders (n = 37). Multivariable analysis revealed that lower mean K

conclusionBaseline mean K

Indexed as

Brain NeoplasmsGliomaBevacizumabContrast MediaDiffusion Tensor ImagingHumansMagnetic Resonance ImagingNeoplasm Recurrence, LocalPrognosisBevacizumabContrast MediaBevacizumabDiffusion tensor imagingGliomaMagnetic resonance imaging

Identifiers

PMID33755766
OpenAlexW3139191787

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.