Evidence map›Paper›PMID 29016976›Full record

ArticleNeuro-oncology2017

A description of familial clustering of meningiomas in the Utah population.

William T Couldwell, Lisa A Cannon-Albright

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

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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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

William T CouldwellDepartment of Neurosurgery and Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah.
Lisa A Cannon-AlbrightDepartment of Neurosurgery and Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeningiomas are common intracranial tumors in adults, yet the genetics and cause of sporadic meningiomas are not well understood. Few familial clusters have been reported. The aim of this study was to investigate the familiality of meningiomas within the Utah Population Database.

methodsMeningioma cases reported in the Utah Cancer Registry were identified. Relative risk of their relatives was calculated. All possible cases were assessed with the Genealogical Index of Familiality (GIF), which measures average pairwise relatedness of all possible pairs using the Malecot coefficient of kinship. Clusters of cases descending from a common ancestor were identified.

resultsEight hundred fifty-eight meningioma cases were reported. The relative risk of a first- or second-degree relative was 3.13 (95% CI: 1.67, 5.36) or 2.28 (1.30, 3.70), respectively. The GIF statistic demonstrated a clear excess of relationships for genetic distance <4 (closer than first cousins). We identified 920 pedigrees, including 2-21 meningioma cases. One hundred eighty-nine of these pedigrees, including 2-15 cases, had a significant excess (P < 0.05) of meningioma cases over what was expected.

conclusionsThis Utah population-based analysis of meningiomas shows clear evidence of familial clustering and supports both a familial and a germline variant basis for meningioma. These clusters may allow identification of genes likely to contribute to tumorigenesis in high-risk pedigrees. These relative risk data provide the basis for further investigations of genetic contributions to meningioma. These data may contribute to developing a basis for determining screening criteria of higher-risk pedigrees for the presence of meningiomas.

Indexed as

Genetic Predisposition to DiseaseCluster AnalysisFemaleHumansMaleMeningeal NeoplasmsMeningiomaPedigreePrognosisRegistriesRisk FactorsUtahgeneticsmeningiomapedigreerelative riskUtah Population Database

Identifiers

PMID29016976
PMCPMC5716076
OpenAlexW2724687927

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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.