Evidence map›Paper›PMID 28096721›Full record

ReviewKorean journal of radiology

Current Concepts in Non-Gastrointestinal Stromal Tumor Soft Tissue Sarcomas: A Primer for Radiologists.

Akshay D Baheti, Jyothi P Jagannathan, Ailbhe O'Neill, Harika Tirumani, Sree Harsha Tirumani

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 4 institutions in 2 countries.

Akshay D BahetiDepartment of Radiology, Tata Memorial Centre, Mumbai 400012, India.
Jyothi P JagannathanDepartment of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.; Department of Imaging, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Ailbhe O'NeillDepartment of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.; Department of Imaging, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Harika TirumaniDepartment of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Sree Harsha TirumaniDepartment of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.; Department of Imaging, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USTata Memorial Hospital · INUniversity of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-gastrointestinal stromal tumor (GIST) soft tissue sarcomas (STSs) are a heterogeneous group of neoplasms whose classification and management continues to evolve with better understanding of their biologic behavior. The 2013 World Health Organization (WHO) has revised their classification based on new immunohistochemical and cytogenetic data. In this article, we will provide a brief overview of the revised WHO classification of soft tissue tumors, discuss in detail the radiology and management of the two most common adult non-GIST STS, namely liposarcoma and leiomyosarcoma, and review some of the emerging histology-driven targeted therapies in non-GIST STS, focusing on the role of the radiologist.

Indexed as

HumansLeiomyosarcomaLiposarcomaSarcomaSoft Tissue NeoplasmsTomography, X-Ray ComputedWorld Health OrganizationLeiomyosarcomaLiposarcomaSoft tissue sarcomasWorld Health Organization classification

Identifiers

PMID28096721
PMCPMC5240485
OpenAlexW2577574578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.