Evidence map›Paper›PMID 31817500›Full record

ReviewHealthcare (Basel, Switzerland)2019

Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma using Magnetic Resonance Images: A Literature Review.

Ayako Suzuki, Masato Aoki, Chiho Miyagawa, Kosuke Murakami, Hisamitsu Takaya, Yasushi Kotani, Hidekatsu Nakai, Noriomi Matsumura

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Ayako SuzukiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Masato AokiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Chiho MiyagawaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Kosuke MurakamiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Hisamitsu TakayaDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Yasushi KotaniDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Hidekatsu NakaiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.
Noriomi MatsumuraDepartment of Obstetrics and Gynecology, Faculty of Medicine, Kindai University Osakasayama, Osaka 589-8511, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MRI plays an essential role in patients before treatment for uterine mesenchymal malignancies. Although MRI includes methods such as diffusion-weighted imaging and dynamic contrast-enhanced MRI, the differentiation between uterine myoma and sarcoma always becomes problematic. The present paper discusses important findings to ensure that sarcomas are not overlooked in magnetic resonance (MR) images, and we describe the update in the differentiation between uterine leiomyoma and sarcoma with recent reports.

Indexed as

differential diagnosismagnetic resonance images (MRI)uterine leiomyomauterine sarcoma

Identifiers

PMID31817500
PMCPMC6955943

What OpenQuestion holds

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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.