Evidence map›Paper›PMID 27041580›Full record

ReviewOncogene2016

A comprehensive profile of recurrent glioblastoma.

B Campos, L R Olsen, T Urup, H S Poulsen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

145 citing papers in PubMed, 1 synthesis or guideline pooled it, 242 citations in OpenAlex.

  1. Pooled it
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  3. Physiologic MR imaging of the tumor microenvironment revealed switching of metabolic phenotype upon recurrence of glioblastoma in humans.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
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85 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 2 countries.

B CamposDivision of Experimental Neurosurgery, Department of Neurosurgery, University of Heidelberg, Heidelberg, Germany.
L R OlsenCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.
T UrupDepartment of Radiation Biology, Finsen Center, Copenhagen University Hospital, Copenhagen, Denmark.
H S PoulsenDepartment of Radiation Biology, Finsen Center, Copenhagen University Hospital, Copenhagen, Denmark.
Copenhagen University Hospital · DKHeidelberg University · DETechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of relentless efforts to devise new treatment strategies, primary glioblastomas invariably recur as aggressive, therapy-resistant relapses and patients rapidly succumb to these tumors. Many therapeutic agents are first tested in clinical trials involving recurrent glioblastomas. Remarkably, however, fundamental knowledge on the biology of recurrent glioblastoma is just slowly emerging. Here, we review current knowledge on recurrent glioblastoma and ask whether and how therapies change intra-tumor heterogeneity, molecular traits and growth pattern of glioblastoma, and to which extent this information can be exploited for therapeutic decision-making. We conclude that the ability to characterize and predict therapy-induced changes in recurrent glioblastoma will determine, whether, one day, glioblastoma can be contained in a state of chronic disease.

Indexed as

AnimalsBrain NeoplasmsClinical Decision-MakingCombined Modality TherapyGenomicsGlioblastomaHumansImmunohistochemistryNeoplasm Recurrence, LocalNeoplastic Stem CellsPrecision MedicinePrognosisTumor Microenvironment

Identifiers

PMID27041580
OpenAlexW2336951703

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.