ArticleNature reviews. Neurology2016
Neuro-oncology: Amino acid PET for brain tumours - ready for the clinic?
Article in Nature reviews. Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- DEGRO practical guideline for central nervous system radiation necrosis part 1: classification and a multistep approach for diagnosis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022Guideline
- Prediction of TERTp-mutation status in IDH-wildtype high-grade gliomas using pre-treatment dynamic [European journal of nuclear medicine and molecular imaging · 2021Trial
- Trial
- Distinguishing true progression from treatment effects in glioblastoma: a practical, evidence-graded imaging framework for the multidisciplinary team.Journal of neuro-oncology · 2026Review
- A bis-boron boramino acid PET tracer for brain tumor diagnosis.European journal of nuclear medicine and molecular imaging · 2024Article
- Deep Penetrating and Sensitive Targeted Magnetic Particle Imaging and Photothermal Therapy of Early-Stage Glioblastoma Based on a Biomimetic Nanoplatform.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Therapeutic potential of tumor treating fields for malignant brain tumors.Cancer reports (Hoboken, N.J.) · 2023Review
- PET tracers in glioblastoma: Toward neurotheranostics as an individualized medicine approach.Frontiers in nuclear medicine · 2023Review
- MGMT promoter methylation status shows no effect on [European radiology · 2022Article
- Article
- Review
- Navigate Towards the Immunotherapy Era: Value of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer Patients With Brain Metastases.Frontiers in immunology · 2022Review
- StaticEuropean radiology · 2021Article
- [Cancers · 2021Article
- Feature-based PET/MRI radiomics in patients with brain tumors.Neuro-oncology advances · 2020Review
- Hybrid PET-MRI Imaging in Paediatric and TYA Brain Tumours: Clinical Applications and Challenges.Journal of personalized medicine · 2020Article
- Investigation of Cerebral O-(2-[Molecular imaging and biology · 2020Article
- Simultaneous FET-PET and contrast-enhanced MRI based on hybrid PET/MR improves delineation of tumor spatial biodistribution in gliomas: a biopsy validation study.European journal of nuclear medicine and molecular imaging · 2020Article
- Recent advances of PET imaging in clinical radiation oncology.Radiation oncology (London, England) · 2020Review
- Current Landscape and Emerging Fields of PET Imaging in Patients with Brain Tumors.Molecules (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
27282652What OpenQuestion holds
Registered trials
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.