Evidence map›Paper›PMID 33221711›Full record

ArticleNeoplasia (New York, N.Y.)2021

Tumor treating fields (TTFields) impairs aberrant glycolysis in glioblastoma as evaluated by [

Chirag B Patel, Corinne Beinat, Yuanyang Xie, Edwin Chang, Sanjiv S Gambhir

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2021. 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
2.1field-weighted citation impact, top 12% 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, 26 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

5 authors at 2 institutions in 1 country.

Chirag B PatelMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Division of Adult Neuro-Oncology, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: cbpatel@stanford.edu.
Corinne BeinatMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Yuanyang XieMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Edwin ChangMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Sanjiv S GambhirMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Departments of Bioengineering and Materials Science & Engineering, Stanford University, Stanford, CA, USA.
Stanford University · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the anti-proliferative and survival benefits from tumor treating fields (TTFields) in human glioblastoma (hGBM), little is known about the effects of this form of alternating electric fields therapy on the aberrant glycolysis of hGBM. [

Indexed as

Brain NeoplasmsCarrier ProteinsCell Line, TumorDiazonium CompoundsFluorescent Antibody TechniqueFluorodeoxyglucose F18Gene Expression Regulation, NeoplasticGlioblastomaGlycolysisHumansMembrane ProteinsRadiopharmaceuticalsSulfanilic AcidsThyroid Hormone-Binding ProteinsThyroid HormonesCarrier Proteinsdiazobenzenesulfonic acidDiazonium CompoundsFluorodeoxyglucose F18Membrane ProteinsRadiopharmaceuticalsSulfanilic AcidsThyroid Hormone-Binding ProteinsThyroid HormonesGlioblastomaPyruvate kinase M2 (PKM2)Tumor glycolysisTumor treating fields (TTFields)Warburg effect

Identifiers

PMID33221711
PMCPMC7689378
OpenAlexW3102426361

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.