Evidence map›Paper›PMID 36230783›Full record

ArticleCancers2022

Can Radiomics Provide Additional Information in [

Katharina von Rohr, Marcus Unterrainer, Adrien Holzgreve, Maximilian A Kirchner, Zhicong Li, Lena M Unterrainer, Bogdana Suchorska, Matthias Brendel, Joerg-Christian Tonn, Peter Bartenstein and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

13 authors at 3 institutions in 1 country.

Katharina von RohrDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Marcus UnterrainerDepartment of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0002-8238-1198
Adrien HolzgreveDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0002-9566-8438
Maximilian A KirchnerDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Zhicong LiDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Lena M UnterrainerDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Bogdana SuchorskaDepartment of Neurosurgery, Sana Hospital, 47055 Duisburg, Germany.
Matthias BrendelDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Joerg-Christian TonnDepartment of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Sibylle ZieglerDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Nathalie L AlbertDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Lena KaiserDepartment of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0002-2084-5858
LMU Klinikum · DEGerman Cancer Research Center · DEGerman Center for Neurodegenerative Diseases · DE

Funding

Deutsche Forschungsgemeinschaft EXC 2145 SyNergy - ID 390857198Deutsche Forschungsgemeinschaft FOR 2858 project number 421887978
6 · The paper itself

Abstract

The purpose of this study was to evaluate the possibility of extracting relevant information from radiomic features even in apparently [

Indexed as

amino acid PETFET negativeFET PETgliomaphotopenicradiomics

Identifiers

PMID36230783
PMCPMC9612387
OpenAlexW4303621931

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.