Evidence map›Paper›PMID 24500138›Full record

ReviewJapanese journal of radiology2014

Computed tomography and magnetic resonance imaging of lesions at masticator space.

Ahmed Abdel Khalek Abdel Razek

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Japanese journal of radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Imaging of sialadenitis.The neuroradiology journal · 2017
    Review
  4. Review
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

1 author at 1 institution in 1 country.

Ahmed Abdel Khalek Abdel RazekDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Elgomheryia Street, Mansoura, 35512, Egypt, arazek@mans.edu.eg.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to review the normal anatomy and imaging appearance of masticator space lesions. Because the masticator space is not amenable to direct examination, cross-sectional imaging with computed tomography and magnetic resonance imaging play an important role in diagnosis and characterization of lesions occurring there. Masticator space lesions can be classified on the basis of their origin into the following categories: inflammatory lesions, benign tumors, malignant tumors, vascular lesions, and developmental lesions. A diverse spectrum of malignant tumors and benign lesions are seen extending from the adjacent spaces. In addition, one should also be familiar with pseudolesions as well as post-treatment changes in the masticator space that can be mistaken for pathologic conditions.

Indexed as

HumansMagnetic Resonance ImagingStomatognathic DiseasesStomatognathic SystemTomography, X-Ray Computed

Identifiers

PMID24500138
OpenAlexW2015507423

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.