Evidence map›Paper›PMID 36831015›Full record

ArticleBiomedicines2023

Multidrug-Loaded Lipid Nanoemulsions for the Combinatorial Treatment of Cerebral Cavernous Malformation Disease.

Andrea Perrelli, Annalisa Bozza, Chiara Ferraris, Sara Osella, Andrea Moglia, Silvia Mioletti, Luigi Battaglia, Saverio Francesco Retta

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2023. 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
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 2 countries.

Andrea PerrelliDepartment of Clinical and Biological Sciences, University of Torino, 10043 Orbassano, TO, Italy.ORCID 0000-0001-8512-6080
Annalisa BozzaDepartment of Drug Science and Technology, University of Torino, 10125 Torino, TO, Italy.ORCID 0000-0002-9390-1638
Chiara FerrarisDepartment of Clinical and Biological Sciences, University of Torino, 10043 Orbassano, TO, Italy.ORCID 0000-0001-5432-5386
Sara OsellaSan Giovanni Bosco Hospital, University of Torino, 10154 Torino, TO, Italy.
Andrea MogliaDepartment of Agricultural, Forest and Food Sciences, University of Torino, 10095 Grugliasco, TO, Italy.ORCID 0000-0001-7431-844X
Silvia MiolettiDepartment of Veterinary Sciences, University of Torino, 10095 Grugliasco, TO, Italy.
Luigi BattagliaDepartment of Drug Science and Technology, University of Torino, 10125 Torino, TO, Italy.ORCID 0000-0002-5081-3638
Saverio Francesco RettaDepartment of Clinical and Biological Sciences, University of Torino, 10043 Orbassano, TO, Italy.ORCID 0000-0001-9761-2959
University of Turin · ITOspedale San Giovanni Bosco · ITUniversity of Rochester Medical Center · US

Funding

Fondazione CRT 2021.1856Fondazione CRT Cerebro-NGS.TOTelethon Foundation GGP15219University of Turin Local Research Funding 2018-2021
6 · The paper itself

Abstract

Cerebral cavernous malformation (CCM) or cavernoma is a major vascular disease of genetic origin, whose main phenotypes occur in the central nervous system, and is currently devoid of pharmacological therapeutic strategies. Cavernomas can remain asymptomatic during a lifetime or manifest with a wide range of symptoms, including recurrent headaches, seizures, strokes, and intracerebral hemorrhages. Loss-of-function mutations in

Indexed as

angiogenesiscentral nervous system (CNS)cerebral cavernous malformation (CCM)cerebrovascular diseasesinflammationKRIT1/CCM1nanoemulsionsnanotherapeuticsoxidative stress

Identifiers

PMID36831015
PMCPMC9953270
OpenAlexW4319596958

What OpenQuestion holds

Textmetadata
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.