Evidence map›Paper›PMID 42684449›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Hereditary connective tissue disorders in unselected patients with spontaneous cervical artery dissection: a targeted next generation sequencing approach and systematic review.

Lorenzo Corradi, Chiara Ferraro, Fiammetta Tesi, Giorgia Abrignani, Paola Castellini, Lilia Latte, Maria Claudia Trapasso, Antonio Genovese, Marco Giuseppe Ritelli, Valeria Cinquina and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. 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

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.

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.

Lorenzo Corradi *Department of Medicine and Surgery, University of Parma, Parma, Italy.
Chiara Ferraro *Department of Medicine and Surgery, University of Parma, Parma, Italy.
Fiammetta Tesi *Department of Medicine and Surgery, University of Parma, Parma, Italy.
Giorgia AbrignaniStroke Care Program, Department of Emergency, Parma University Hospital, Parma, Italy.
Paola CastelliniStroke Care Program, Department of Emergency, Parma University Hospital, Parma, Italy.
Lilia LatteStroke Care Program, Department of Emergency, Parma University Hospital, Parma, Italy.
Maria Claudia TrapassoStroke Care Program, Department of Emergency, Parma University Hospital, Parma, Italy.
Antonio GenoveseStroke Care Program, Department of Emergency, Parma University Hospital, Parma, Italy.
Marco Giuseppe RitelliDepartment of Molecular and Translational Medicine, Medical Genetics, University of Brescia, Brescia, Italy.
Valeria CinquinaDepartment of Molecular and Translational Medicine, Medical Genetics, University of Brescia, Brescia, Italy.
Silvia Clara GilianiDepartment of Molecular and Translational Medicine, Nocivelli Institute for Molecular Medicine, University of Brescia, Brescia, Italy.
Mauro MagoniDepartment of Neurological Sciences and Vision, Vacular Neurology, ASST Spedali Civili, Brescia, Italy.
Roberto MenozziDiagnostics Department, Neuroradiology Unit, Parma University Hospital, Parma, Italy.
Alessandro PezziniDepartment of Medicine and Surgery, University of Parma, Parma, Italy. ale_pezzini@hotmail.com.ORCID http://orcid.org/0000-0001-8629-3315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhether spontaneous cervical artery dissection (sCeAD), the leading cause of ischemic stroke in young adults, represents the manifestation of unrecognized hereditary connective tissue disorders (HCTDs) and whether HCTDs have a major impact in the epidemiology of the disease is a matter of ongoing debate. We aimed at determining the frequency of clinically relevant genetic variants (CRGVs) in a cohort of unselected sCeAD patients by targeted next-generation sequencing (NGS) approach.

methodsWe designed a high-throughput sequencing panel to identify variants in 38 candidate genes associated with arterial dissection or aneurysm and screened patients with apparently sporadic sCeAD, consecutively referred to one comprehensive stroke center from August 2020 to December 2025. The frequency of known disease-causing and pertinent variants of uncertain significance (VUS) was calculated. Then, we performed a systematic review of all studies evaluating the prevalence of monogenic disorders among sCeAD patients up to December 2025.

resultsAmong 183 patients (males, 51.3%; mean age, 42.0 ± 11.3 years), 2 (1.1%) carried a CeAD-causing variant in COL3A1 (NM_000090.4:c.2959G > A:p.Gly987Ser) and ABCC6 (NM_001351800.1:c.3071G > A:p.Arg1024Gln), respectively. In addition, we identified 30 (16.4%) VUS in 25 (13.6%) patients. The analysis of 330 patients across 14 studies yielded a prevalence of carriers of disease-causing variants ranging between 0.4% in series of unselected patients and 23.4% in patients with familial history of CeAD.

conclusionSystematic search for rare disease-causing variants should not be recommended in all sCeAD cases but it should be limited to selected individuals with a high pre-test probability to harbor a monogenic disease.

Indexed as

Connective Tissue DiseasesVertebral Artery DissectionAdultCollagen Type IIIDissection, Blood VesselFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedCOL3A1 protein, humanCollagen Type IIIDissection, arterialExtracellular matrixHereditary connective tissue disordersNext generation sequencingStroke, ischemic

Identifiers

PMID42684449
PMCPMC13538227

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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.