Evidence map›Paper›PMID 37287577›Full record

ArticleNeuro-oncology advances2023

Advances in PET imaging for meningioma patients.

Norbert Galldiks, Nathalie L Albert, Michael Wollring, Jan-Michael Werner, Philipp Lohmann, Javier E Villanueva-Meyer, Gereon R Fink, Karl-Josef Langen, Joerg-Christian Tonn

Abstract read
In one paragraph

Article in Neuro-oncology advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Correlation of [EJNMMI research · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Annals of nuclear medicine · 2024
    Article
  9. Article
  10. Epstein-Barr Virus-Associated Smooth-Muscle Tumor of the Brain.AJNR. American journal of neuroradiology · 2024
    Article
  11. 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

9 authors.

Norbert GalldiksDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-2485-1796
Nathalie L AlbertGerman Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Michael WollringDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Jan-Michael WernerDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Philipp LohmannDepartment of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-5360-046X
Javier E Villanueva-MeyerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Gereon R FinkDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Karl-Josef LangenInstitute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.
Joerg-Christian TonnGerman Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with meningioma, diagnosis and treatment planning are predominantly based on anatomical imaging using MRI or CT. Constraints of these imaging modalities include precise meningioma delineation-especially at the skull base, in the case of

Indexed as

amino acid PETDOTATATEFDGFLTSiTATEsomatostatin receptor-expression

Identifiers

PMID37287577
PMCPMC10243856

What OpenQuestion holds

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Registered trials

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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.