Evidence map›Paper›PMID 39268066›Full record

SynthesisFrontiers in neurology2024

Algorithm of genetic diagnosis for patients with head and neck paraganglioma-update.

Katarzyna Radomska, Zofia Leszczyńska, Rafal Becht, Monika Zaborek-Łyczba, Anna Rzepakowska, Jakub Lubiński, Marcin Szymański

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Katarzyna RadomskaDepartment of Otolaryngology, Pomeranian Medical University, Szczecin, Poland.
Zofia LeszczyńskaDepartment of Otolaryngology, Pomeranian Medical University, Szczecin, Poland.
Rafal BechtDepartment of Oncology, Pomeranian Medical University, Szczecin, Poland.
Monika Zaborek-ŁyczbaDepartment of Otolaryngology, Medical University of Lublin, Lublin, Poland.
Anna RzepakowskaDepartment of Otolaryngology, Medical University of Warsaw, Warsaw, Poland.
Jakub LubińskiDepartment of Otolaryngology, Pomeranian Medical University, Szczecin, Poland.
Marcin SzymańskiDepartment of Otolaryngology, Medical University of Lublin, Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paragangliomas are rare tumors originating from the paraventricular bodies of the autonomic nervous system located in the adrenal glands, chest, abdomen, pelvis and head and neck. Tumors of this type account for 0.5% of head and neck cancers, 0.03% of all cancers and their incidence is estimated at 1-30/100,000 per year. Head and Neck Paragangliomas (HNPGL) are localized in carotid body, tympanic cavity or jugular foramen. It is established that HNPGL may be associated with mutations of the SDH complex, with SDHD being the most prevalent. However, SDHB, SDHC and SDHAF are also potential causes. The aforementioned mutations are influenced by various risk factors, including young age, a positive family history of paraganglioma, the presence of metastases and gender The purpose of this study is to summarize the results of genetic testing performed on patients with head and neck paraganglioma and to create an up-to-date genetic diagnosis algorithm for patients with HNPGL based on previous studies published in the literature that can be used in daily practice. Several papers observed that among SDHD mutation carriers, most or all of those studied had HNPGL, and SDHB mutations were more frequently found in the presence of metastasis. Based on the results, it was concluded that there is no basis for genetic testing for VHL in patients without a positive family history. In each algorithm proposed by different authors, proposals for rational genetic diagnosis were analyzed based on the studies cited by the author and the analyses included in our paper. For the analysis of the treatment algorithms, the following were included: Martin, Mannelli, Neumann, Gupta. Subsequently, publications related to the genetic diagnosis of HNPGL were analyzed to verify the proposed algorithms in light of the latest genetic studies and to establish an updated diagnostic management scheme.

Indexed as

geneti algorithmgenetic diagnosishead and neckparagangliomapheochromoacytomatumor

Identifiers

PMID39268066
PMCPMC11390439

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