Evidence map›Paper›PMID 31032226›Full record

ArticleFrontiers in oncology2019

A Novel Approach to Preoperative Risk Stratification in Endometrial Cancer: The Added Value of Immunohistochemical Markers.

Vit Weinberger, Marketa Bednarikova, Jitka Hausnerova, Petra Ovesna, Petra Vinklerova, Lubos Minar, Michal Felsinger, Eva Jandakova, Marta Cihalova, Michal Zikan

Abstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Prognostic Value of β-Catenin and L1CAM Expressions in Type I Endometrial Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Improving response to progestin treatment of low-grade endometrial cancer.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2020
    Review
  18. 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

10 authors.

Vit WeinbergerDepartment of Gynecology and Obstetrics, University Hospital in Brno and Masaryk University, Brno, Czechia.
Marketa BednarikovaDepartment of Internal Medicine - Hematology and Oncology, University Hospital in Brno and Masaryk University, Brno, Czechia.
Jitka HausnerovaDepartment of Pathology, University Hospital in Brno and Masaryk University, Brno, Czechia.
Petra OvesnaFaculty of Medicine, Institute of Biostatistics and Analyses, Masaryk University, Brno, Czechia.
Petra VinklerovaDepartment of Gynecology and Obstetrics, University Hospital in Brno and Masaryk University, Brno, Czechia.
Lubos MinarDepartment of Gynecology and Obstetrics, University Hospital in Brno and Masaryk University, Brno, Czechia.
Michal FelsingerDepartment of Gynecology and Obstetrics, University Hospital in Brno and Masaryk University, Brno, Czechia.
Eva JandakovaDepartment of Pathology, University Hospital in Brno and Masaryk University, Brno, Czechia.
Marta CihalovaDepartment of Pathology, University Hospital in Brno and Masaryk University, Brno, Czechia.
Michal ZikanInstitute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

endometrial cancerERimaging methodL1CAMp53PRpreoperative biopsyrisk stratification

Identifiers

PMID31032226
PMCPMC6473394

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.