Evidence map›Paper›PMID 33099834›Full record

ReviewGenes, chromosomes & cancer2021

Molecular pathogenesis and prognostication of "low-grade'' and "high-grade" endometrial stromal sarcoma.

Francesca Micci, Sverre Heim, Ioannis Panagopoulos

Open access · hybridAbstract readReview
In one paragraph

Review in Genes, chromosomes & cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Integrated mutational landscape analysis of endometrial stromal sarcoma.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. High-grade endometrial stromal sarcoma withInternational journal of clinical and experimental pathology · 2024
    Article
  12. Single-cell RNA-seq revealsFrontiers in immunology · 2024
    Article
  13. High-grade endometrial stromal sarcoma withGynecologic oncology reports · 2023
    Article
  14. Review
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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

3 authors at 2 institutions in 2 countries.

Francesca MicciSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, Oslo, Norway.ORCID 0000-0002-2194-556X
Sverre HeimSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, Oslo, Norway.
Ioannis PanagopoulosSection for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, Oslo, Norway.ORCID 0000-0003-2159-5341
Cancer Registry of Norway · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial stromal sarcomas (ESS) are a heterogeneous group of rare mesenchymal cancers. Considerable knowledge has been gained in recent years about the molecular characteristics of these cancers, which helps to classify them in a more meaningful manner leading to improved diagnosis, prognostication, and treatment. According to this classification, ESS is now grouped as low- or high-grade. ESS may have overlapping clinical presentation, morphology, and immunohistochemical profile. Their genetic characteristics allow subdivision of many of them depending on which pathogenetically important fusion genes they carry, but clearly much more needs to be unraveled in this regard. We here provide an overview of the molecular pathogenetic knowledge gained so far on low- and high-grade ESS.

Indexed as

Endometrial NeoplasmsFemaleHumansNeoplasm StagingPrognosisSarcoma, Endometrial Stromalchromosomal aberrationsendometrial stromal sarcomafusion genehigh-grade ESSlow-grade ESS

Identifiers

PMID33099834
PMCPMC7894482
OpenAlexW3093787762

What OpenQuestion holds

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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.