Evidence map›Paper›PMID 30547098›Full record

ArticleClinical and translational radiation oncology2019

Radiation-induced vascular malformations in the brain, mimicking tumor in MRI-based treatment response assessment maps (TRAMs).

David Guez, David Last, Dianne Daniels, Shirley Sharabi, Dvora Nass, Ouzi Nissim, Roberto Spiegelmann, Galia Tzarfaty, Chen Hoffmann, Alisa Talianski and 6 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Clinical and translational radiation oncology, 2019. 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
0.6field-weighted citation impact, top 30% 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, 10 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

David GuezAdvanced Technology Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
David LastAdvanced Technology Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Dianne DanielsAdvanced Technology Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Shirley SharabiAdvanced Technology Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Dvora NassPathology Institute, Sheba Medical Center, Ramat-Gan 52621, Israel.
Ouzi NissimNeurosurgery Dept, Sheba Medical Center, Ramat-Gan 52621, Israel.
Roberto SpiegelmannNeurosurgery Dept, Sheba Medical Center, Ramat-Gan 52621, Israel.
Galia TzarfatyRadiology Institute, Sheba Medical Center, Ramat-Gan 52621, Israel.
Chen HoffmannRadiology Institute, Sheba Medical Center, Ramat-Gan 52621, Israel.
Alisa TalianskiOncology Institute, Sheba Medical Center, Ramat-Gan 52621, Israel.
Yigal ShoshanNeurosurgery Dept., Hadassah Medical Center, Jerusalem 91120, Israel.
Yakov FelligPathology Inst., Hadassah Medical Center, Jerusalem 91120, Israel.
Sagi HarnofNeurosurgery Dept., Rabin Medical Center, Petach Tikva 49100, Israel.
Zvi R CohenNeurosurgery Dept, Sheba Medical Center, Ramat-Gan 52621, Israel.
Leor ZachOncology Institute, Sheba Medical Center, Ramat-Gan 52621, Israel.
Yael MardorAdvanced Technology Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Tel Aviv University · ILSheba Medical Center · ILHadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

•Of 310 brain tumors patients recruited, histology of 99 lesions was available.•Of those, 5 were histologically confirmed as radiation-induced malformations.•TRAMs cannot differentiate active tumor from vascular malformation.

Indexed as

Brain tumorsMRIRadiationRICMRITTRAMsVascular malformations

Identifiers

PMID30547098
PMCPMC6282630
OpenAlexW2901891173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.