Evidence map›Paper›PMID 34849274›Full record

ArticleJournal of pediatric genetics2021

Correlating Neuroimaging and CNVs Data: 7 Years of Cytogenomic Microarray Analysis on Patients Affected by Neurodevelopmental Disorders.

Roberta Milone, Claudia Cesario, Marina Goldoni, Rosa Pasquariello, Caterina Fusilli, Agnese Giovannetti, Sabrina Giglio, Antonio Novelli, Viviana Caputo, Giovanni Cioni and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of pediatric genetics, 2021. 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, top 83% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

14 authors at 6 institutions in 1 country.

Roberta MiloneDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Claudia CesarioLaboratory of Medical Genetics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Marina GoldoniMedical Genetics Unit, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy.
Rosa PasquarielloDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Caterina FusilliBioinformatics Unit, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy.
Agnese GiovannettiMedical Genetics Unit, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy.
Sabrina GiglioMedical Genetics Unit, Meyer Children's University Hospital, Florence, Italy.
Antonio NovelliLaboratory of Medical Genetics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Viviana CaputoDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Giovanni CioniDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Tommaso MazzaBioinformatics Unit, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy.
Agatino BattagliaDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Laura BernardiniMedical Genetics Unit, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy.
Roberta BattiniDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Fondazione Stella Maris · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITBambino Gesù Children's Hospital · ITCasa Sollievo della Sofferenza · ITMeyer Children's Hospital · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the relationship between neurodevelopmental disorders, brain anomalies, and copy number variations (CNVs) and to estimate the diagnostic potential of cytogenomical microarray analysis (CMA) in individuals neuroradiologically characterized with intellectual developmental disorders (IDDs) isolated or associated with autism spectrum disorders (ASDs) and epilepsy (EPI), all of which were identified as a "synaptopathies." We selected patients who received CMA and brain magnetic resonance imaging (MRI) over a 7-year period. We divided them into four subgroups: IDD, IDD + ASD, IDD + EPI, and IDD + ASD + EPI. The diagnostic threshold of CMA was 16%. The lowest detection rate for both CMA and brain anomalies was found in IDD + ASD, while MRI was significantly higher in IDD and IDD + EPI subgroups. CMA detection rate was significantly higher in patients with brain anomalies, so CMA may be even more appropriate in patients with pathological MRI, increasing the diagnostic value of the test. Conversely, positive CMA in IDD patients should require an MRI assessment, which is more often associated with brain anomalies. Posterior fossa anomalies, both isolated and associated with other brain anomalies, showed a significantly higher rate of CMA positive results and of pathogenic CNVs. In the next-generation sequencing era, our study confirms once again the relevant diagnostic output of CMA in patients with IDD, either isolated or associated with other comorbidities. Since more than half of the patients presented brain anomalies in this study, we propose that neuroimaging should be performed in such cases, particularly in the presence of genomic imbalances.

Indexed as

autism spectrum disordersbrain anomaliesepilepsyintellectual developmental disorderssynaptopathies

Identifiers

PMID34849274
PMCPMC8608469
OpenAlexW3123087359

What OpenQuestion holds

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Registered trials

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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.