Evidence map›Paper›PMID 35712497›Full record

ArticleFrontiers in oncology2022

Distinguishing Tumor Admixed in a Radiation Necrosis (RN) Background:

Xia Ge, Kyu-Ho Song, John A Engelbach, Liya Yuan, Feng Gao, Sonika Dahiya, Keith M Rich, Joseph J H Ackerman, Joel R Garbow

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  11. Deuterium brain imaging at 7T during DMagnetic resonance in medicine · 2023
    Article
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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 1 institution in 1 country.

Xia GeDepartment of Radiology, Washington University, Saint Louis, MO, United States.
Kyu-Ho SongDepartment of Radiology, Washington University, Saint Louis, MO, United States.
John A EngelbachDepartment of Radiology, Washington University, Saint Louis, MO, United States.
Liya YuanDepartment of Neurosurgery, Washington University, Saint Louis, MO, United States.
Feng GaoDepartment of Surgery, Washington University, Saint Louis, MO, United States.
Sonika DahiyaDivision of Neuropathology, Department of Pathology and Immunology, Washington University, Saint Louis, MO, United States.
Keith M RichDepartment of Neurosurgery, Washington University, Saint Louis, MO, United States.
Joseph J H AckermanDepartment of Radiology, Washington University, Saint Louis, MO, United States.
Joel R GarbowDepartment of Radiology, Washington University, Saint Louis, MO, United States.
Washington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

Purpose: Distinguishing radiation necrosis (RN) from recurrent tumor remains a vexing clinical problem with important health-care consequences for neuro-oncology patients. Here, mouse models of pure tumor, pure RN, and admixed RN/tumor are employed to evaluate hydrogen ( Materials and Methods: A pipeline of common quantitative Results: Differences in quantitative Conclusions: These findings, employing a pipeline of quantitative

Indexed as

deuteriummetabolic imagingMRIradiation necrosistumor

Identifiers

PMID35712497
PMCPMC9196939
OpenAlexW4281662911

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.