Evidence map›Paper›PMID 39670350›Full record

ArticleJournal of extracellular vesicles2024

A decision-making tool for navigating extracellular vesicle research and product development.

Francesca Loria, Sabrina Picciotto, Giorgia Adamo, Andrea Zendrini, Samuele Raccosta, Mauro Manno, Paolo Bergese, Giovanna L Liguori, Antonella Bongiovanni, Nataša Zarovni

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Francesca LoriaHansaBioMed Life Sciences Ltd, Tallinn, Estonia.ORCID 0000-0003-1180-4883
Sabrina PicciottoInstitute of Biomedical Research and Innovation (IRIB), National Research Council of Italy, Palermo, Italy.
Giorgia AdamoInstitute of Biomedical Research and Innovation (IRIB), National Research Council of Italy, Palermo, Italy.ORCID 0000-0002-6887-763X
Andrea ZendriniDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Samuele RaccostaInstitute of Biophysics, National Research Council of Italy, Palermo, Italy.
Mauro MannoInstitute of Biophysics, National Research Council of Italy, Palermo, Italy.
Paolo BergeseDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Giovanna L LiguoriInstitute of Genetics and Biophysics (IGB), National Research Council of Italy, Naples, Italy.
Antonella BongiovanniInstitute of Biomedical Research and Innovation (IRIB), National Research Council of Italy, Palermo, Italy.
Nataša ZarovniEVEBiofactory Srl, Palermo, Italy.

Funding

European Union-NextGenerationEUHorizon 2020 Framework Programme
6 · The paper itself

Abstract

Due to their intercellular communication properties and involvement in a wide range of biological processes, extracellular vesicles (EVs) are increasingly being studied and exploited for different applications. Nevertheless, their complex nature and heterogeneity, as well as the challenges related to their purification and characterization procedures, require a cautious assessment of the qualitative and quantitative parameters that need to be monitored. This translates into a multitude of choices and putative solutions that any EV researcher must confront in both research and translational environments. In this respect, decision-making tools may help assess various options, weigh pros and cons, and ultimately arrive at a thought-out decision that considers both the best fit-to-source and fit-to-scope EV application(s). Here, we present a multi-criteria EV decision-making grid (EV-DMG) as a novel, efficient, customizable, and easy-to-use tool to support EV research and innovation. By identifying and weighing key assessment criteria for comparing distinct EV-based preparations and related processes, our EV-DMG may assist any EV community member in making informed, traceable, and reproducible decisions regarding the management of EV sources or samples. Ultimately, this EV-DMG may guide the adoption of the most suitable EV production and analytical pipelines for targeting a defined aim or application.

Indexed as

Decision MakingExtracellular VesiclesHumansdecision‐making toolsextracellular vesiclesmulti‐criteria decision‐makingproduct developmentquality controlresearch and developmentresponsible research and innovation

Identifiers

PMID39670350
PMCPMC11638734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.