Evidence map›Paper›PMID 36765937›Full record

ReviewCancers2023

Hormone Receptor Expression in Meningiomas: A Systematic Review.

Mikaël Agopiantz, Mélanie Carnot, Constance Denis, Elena Martin, Guillaume Gauchotte

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 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

45 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
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  18. The MAK collection for occupational health and safety · 2026
    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

5 authors.

Mikaël AgopiantzDepartment of Assisted Reproductive Technologies, CHRU de Nancy, 54000 Nancy, France.ORCID 0000-0001-5192-8923
Mélanie CarnotDepartment of Medical Gynecology, CHRU de Nancy, Université de Lorraine, 54000 Nancy, France.
Constance DenisDepartment of Medical Gynecology, CHRU de Nancy, Université de Lorraine, 54000 Nancy, France.
Elena MartinDepartment of Medical Gynecology, CHRU de Nancy, Université de Lorraine, 54000 Nancy, France.
Guillaume GauchotteFaculty of Medicine of Nancy, Université de Lorraine, INSERM UMRS 1256, Nutrition, Genetics and Environmental Risk Exposure (NGERE), 54000 Nancy, France.ORCID 0000-0001-5585-9195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meningiomas are, in most cases, low grade intracranial tumors. However, relapses are frequent. To date, only a few prognostic markers are described in the literature. Several studies have discussed the expression of progesterone, estrogen, androgen, and somatostatin receptors. The utility of analyzing these expressions for prognostic, theragnostic, and therapeutic purposes remains unclear. The aim of this study was to report the expression of these receptors, based on immunohistochemistry. Cochrane Collaboration guidelines and PRISMA statements were followed. We did an online search in PubMed using the MeSH database. References were selected if the investigations occurred from 1990 to 2022. 61 references were included (34 descriptive observational studies, 26 analytical observational studies, and one case report). In this review, we describe the expression of these receptors in function of age, sex, hormonal context, localization, histological subtype, grade, and recurrence.

Indexed as

androgenestrogenhormone receptorsmeningiomaprogesteronerecurrencesomatostatin

Identifiers

PMID36765937
PMCPMC9913299

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.