Evidence map›Paper›PMID 28102485›Full record

ArticleJournal of neuro-oncology2017

Daniel F Fleischmann, Marcus Unterrainer, Peter Bartenstein, Claus Belka, Nathalie L Albert, Maximilian Niyazi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2017. 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
1.4field-weighted citation impact, top 19% 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, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Assessment of Brain Tumour Perfusion Using Early-PhaseMolecular imaging and biology · 2024
    Article
  6. DynamicCancers · 2021
    Article
  7. Value of PET imaging for radiation therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021
    Review
  8. Article
  9. Review
  10. Article
  11. Use of static and dynamic [EJNMMI research · 2020
    Article
  12. Review
  13. Feasibility and robustness of dynamicScientific reports · 2018
    Article
  14. 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

6 authors at 4 institutions in 1 country.

Daniel F FleischmannDepartment of Radiation Oncology, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Marcus UnterrainerDepartment of Nuclear Medicine, LMU Munich, Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, LMU Munich, Munich, Germany.
Claus BelkaDepartment of Radiation Oncology, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Nathalie L AlbertDepartment of Nuclear Medicine, LMU Munich, Munich, Germany.
Maximilian NiyaziDepartment of Radiation Oncology, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. maximilian.niyazi@med.uni-muenchen.de.
LMU Klinikum · DELudwig-Maximilians-Universität München · DEGerman Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most high-grade gliomas (HGG) recur after initial multimodal therapy and re-irradiation (Re-RT) has been shown to be a valuable re-treatment option in selected patients. We evaluated the prognostic value of dynamic time-to-peak analysis and early static summation images in O-(2-

Indexed as

Positron-Emission TomographyAdolescentAdultAgedAntineoplastic Agents, ImmunologicalBevacizumabBrain NeoplasmsFemaleGliomaHumansKarnofsky Performance StatusMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalNonlinear DynamicsAntineoplastic Agents, ImmunologicalBevacizumabO-(2-fluoroethyl)tyrosineRadiopharmaceuticalsTyrosine18F-FET PETHigh-grade gliomaKinetic analysisPrognostic valueRe-irradiation

Identifiers

PMID28102485
OpenAlexW2575238010

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.