Evidence map›Paper›PMID 32327434›Full record

ArticleAJNR. American journal of neuroradiology2020

Prognostic Value of Preoperative MRI Metrics for Diffuse Lower-Grade Glioma Molecular Subtypes.

P Darvishi, P P Batchala, J T Patrie, L M Poisson, M-B Lopes, R Jain, C E Fadul, D Schiff, S H Patel

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prognostic Factors of Low-Grade Gliomas in Adults.Current oncology (Toronto, Ont.) · 2022
    Article
  8. Article
  9. 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 at 7 institutions in 3 countries.

P DarvishiFrom the Departments of Radiology and Medical Imaging (P.D., P.P.B., S.H.P.).ORCID 0000-0003-3895-9738
P P BatchalaFrom the Departments of Radiology and Medical Imaging (P.D., P.P.B., S.H.P.).ORCID 0000-0002-3744-7012
J T PatriePublic Health Sciences (J.T.P.).ORCID 0000-0001-7392-830X
L M PoissonDepartment of Public Health (L.M.P.), Henry Ford Health System, Detroit, Michigan.ORCID 0000-0002-3409-6536
M-B LopesPathology, Divisions of Neuropathology and Molecular Diagnostics (M.-B.L.).ORCID 0000-0001-8661-6727
R JainDepartments of Radiology (R.J.) and Neurosurgery (R.J.), New York University School of Medicine, New York, New York.ORCID 0000-0002-4879-0457
C E FadulDivision of Neuro-Oncology (C.E.F., D.S.), University of Virginia Health System, Charlottesville, Virginia.ORCID 0000-0001-7459-7661
D SchiffDivision of Neuro-Oncology (C.E.F., D.S.), University of Virginia Health System, Charlottesville, Virginia.ORCID 0000-0002-1896-2502
S H PatelFrom the Departments of Radiology and Medical Imaging (P.D., P.P.B., S.H.P.) shp4k@virginia.edu.ORCID 0000-0002-9739-4362
Hesco (United States) · USUniversity of Virginia Health System · USCS Diagnostics · DEFaculty of Public Health · GBHenry Ford Health System · USImaging Center · USNew York University · US

Funding

Molecular and clinical evaluation of the glioma patient experience to anticipate modern outcomes and guide patient careR01CA222146 · NCI · HENRY FORD HEALTH SYSTEM · PI POISSON, LAILA M · 2018 to 2023
$2.8M
NCI NIH HHS R01 CA222146
6 · The paper itself

Abstract

background and purposeDespite the improved prognostic relevance of the 2016 WHO molecular-based classification of lower-grade gliomas, variability in clinical outcome persists within existing molecular subtypes. Our aim was to determine prognostically significant metrics on preoperative MR imaging for lower-grade gliomas within currently defined molecular categories. MATERIALS AND

methodsWe undertook a retrospective analysis of 306 patients with lower-grade gliomas accrued from an institutional data base and The Cancer Genome Atlas. Two neuroradiologists in consensus analyzed preoperative MRIs of each lower-grade glioma to determine the following: tumor size, tumor location, number of involved lobes, corpus callosum involvement, hydrocephalus, midline shift, eloquent cortex involvement, ependymal extension, margins, contrast enhancement, and necrosis. Adjusted hazard ratios determined the association between MR imaging metrics and overall survival per molecular subtype, after adjustment for patient age, patient sex, World Health Organization grade, and surgical resection status.

resultsFor

conclusionsMR imaging metrics offers prognostic information for patients with lower-grade gliomas within molecularly defined classes, with the greatest prognostic value for

Indexed as

AdolescentAdultAgedBrain NeoplasmsFemaleGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMaleMiddle AgedMutationPrognosisRetrospective StudiesYoung AdultIsocitrate Dehydrogenase

Identifiers

PMID32327434
PMCPMC7228183
OpenAlexW3020620396

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.