Evidence map›Paper›PMID 29469659›Full record

ArticleThe neuroradiology journal2018

Grading of oligodendroglial tumors of the brain with apparent diffusion coefficient, magnetic resonance spectroscopy, and dynamic susceptibility contrast imaging.

Muhammad Atif Naveed, Pradeep Goyal, Ajay Malhotra, Xiang Liu, Sonali Gupta, Manisha Mangla, Rajiv Mangla

Abstract read
In one paragraph

Article in The neuroradiology journal, 2018. 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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Texture Analysis in Cerebral Gliomas: A Review of the Literature.AJNR. American journal of neuroradiology · 2019
    Review
  7. Article
  8. 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

7 authors.

Muhammad Atif Naveed1 Department of Radiology, SUNY Upstate Medical University, Syracuse, NY, USA.
Pradeep Goyal2 Department of Radiology, St. Vincent's Medical Center, Bridgeport, CT, USA.ORCID http://orcid.org/0000-0002-0156-3943
Ajay Malhotra3 Yale New Haven Hospital, New Haven, CT, USA.
Xiang Liu4 Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Sonali Gupta5 Department of Medicine, St. Vincent's Medical Center, Bridgeport, CT, USA.
Manisha Mangla6 SUNY Upstate Medical University, Syracuse, NY, USA.
Rajiv Mangla1 Department of Radiology, SUNY Upstate Medical University, Syracuse, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose We explored whether advanced magnetic resonance (MR) imaging techniques could grade oligodendrogliomas. Methods Forty patients (age 9-61 years) with oligodendroglial tumors were selected. There were 23 patients with World Health Organization grade II (group 1) and 17 patients with grade III (group 2) tumors. Apparent diffusion coefficient (ADC) maps were calculated by b values of 0 and 1000 s/mm

Indexed as

Diffusion Magnetic Resonance ImagingMagnetic Resonance SpectroscopyAdolescentAdultArea Under CurveAspartic AcidBlood VolumeBrainBrain NeoplasmsChildCholineCreatineHumansImage Interpretation, Computer-AssistedMiddle AgedNeoplasm GradingAspartic AcidCholineCreatineN-acetylaspartateApparent diffusion coefficientcerebral blood volumetime to echo

Identifiers

PMID29469659
PMCPMC6111423

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.