Evidence map›Paper›PMID 30694356›Full record

ReviewDer Pathologe2019

[Mesenchymal and mixed uterine tumors : Current overview and practical aspects].

S F Lax

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2019. 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
0.4field-weighted citation impact, top 33% 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, 3 citations in OpenAlex.

  1. Article
  2. 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.

S F LaxInstitut für Klinische Pathologie und Molekularpathologie, LKH Graz II, Standort West, Akademisches Lehrkrankenhaus der Medizinischen Universität Graz, Göstinger Straße 22, 8020, Graz, Österreich. sigurd.lax@kages.at.
University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Benign leiomyomas are the most frequent mesenchymal tumors of the uterus. In contrast, uterine sarcomas are very rare. Leiomyosarcomas are the most frequent sarcomas followed by endometrial stromal sarcomas (ESS). Leiomyosarcomas are characterized by marked nuclear atypia and high mitotic count and may also show tumor cell necrosis and myometrial and vascular invasion. For cases of diagnostic uncertainty, the category of smooth muscle tumor of uncertain malignant potential (STUMP) may be considered but should be rarely used. Besides low-grade ESS and stromal nodules, a category of high-grade ESS was reconsidered by the WHO in 2014. High-grade ESS are characterized by fibromyxoid and round cell histology, myoinvasive growth, and immunoreactivity for cyclin D1 and BCOR and distinct gene fusions involving YWHAE and BCOR, respectively. The very rare undifferentiated uterine sarcomas need to be redefined due to overlap with high-grade ESS. Uterine tumors resembling ovarian sex cord tumors (UTROSCT) rarely behave malignant, but need to be distinguished from endometrial carcinomas. Mixed epithelial and mesenchymal tumors of the uterus are rare with carcinosarcomas occurring more frequently than adenosarcomas. For prognosis of adenosarcomas the recognition of sarcomatous overgrowth is crucial. Carcinosarcomas are histologically heterogeneous although genetically clonal; biologically they are considered as undifferentiated carcinomas. There will be an increasing importance of molecular pathology for the classification of rare and unusual mesenchymal uterine tumors.

Indexed as

LeiomyomaLeiomyosarcomaSarcoma, Endometrial StromalUterine NeoplasmsFemaleHumansCarcinosarcomaEndometrial stromal sarcomaLeiomyomaMixed uterine tumorsUterine sarcoma

Identifiers

PMID30694356
OpenAlexW2913502257

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.