ArticleJournal of neuro-oncology2017
Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma.
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 8 papers, 2 of them syntheses 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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Congress of neurological surgeons systematic review and evidence-based guidelines for the role of imaging in newly diagnosed WHO grade II diffuse glioma in adults: update.Journal of neuro-oncology · 2025Pooled it
- Congress of Neurological Surgeons systematic review and evidence‑based guidelines on the management of recurrent diffuse low-grade glioma: update.Journal of neuro-oncology · 2025Guideline
- An automated approach for predicting glioma grade and survival of LGG patients using CNN and radiomics.Frontiers in oncology · 2022Article
- Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network.BioMed research international · 2021Article
- MRS as an Aid to Diagnose Malignant Transformation in Low-Grade Gliomas with Increasing Contrast Enhancement.AJNR. American journal of neuroradiology · 2020Article
- MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas.European radiology · 2020Article
- Relationship of In Vivo MR Parameters to Histopathological and Molecular Characteristics of Newly Diagnosed, Nonenhancing Lower-Grade Gliomas.Translational oncology · 2018Article
- Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.Journal of neuro-oncology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Low-grade gliomas can vary widely in disease course and therefore patient outcome. While current characterization relies on both histological and molecular analysis of tissue resected during surgery, there remains high variability within glioma subtypes in terms of response to treatment and outcome. In this study we hypothesized that parameters obtained from magnetic resonance data would be associated with progression-free survival for patients with recurrent low-grade glioma. The values considered were derived from the analysis of anatomic imaging, diffusion weighted imaging, and
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What 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.