Evidence map›Paper›PMID 31296879›Full record

ArticleScientific reports2019

A Nanoparticle-Based Approach for the Detection of Extracellular Vesicles.

Md Khirul Islam, Parvez Syed, Laura Lehtinen, Janne Leivo, Kamlesh Gidwani, Saara Wittfooth, Kim Pettersson, Urpo Lamminmäki

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  13. Advances in Therapeutic Applications of Extracellular Vesicles.International journal of nanomedicine · 2023
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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

8 authors at 1 institution in 2 countries.

Md Khirul IslamDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland. md.k.islam@utu.fi.ORCID http://orcid.org/0000-0001-8963-1965
Parvez SyedDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland.
Laura LehtinenDepartment of Pathology, University of Turku and Turku University Hospital, Turku, Finland.
Janne LeivoDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland.
Kamlesh GidwaniDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland.
Saara WittfoothDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland.
Kim PetterssonDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland.
Urpo LamminmäkiDepartment of Biochemistry, Division of Biotechnology, University of Turku, Turku, Finland.
University of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of extracellular vesicles (EVs) typically requires tedious and time-consuming isolation process from bio-fluids. We developed a nanoparticle-based time resolved fluorescence immunoassay (NP-TRFIA) that uses biotinylated antibodies against the proteins of tetraspanin family and tumor-associated antigens for capturing EVs from urine samples and cell culture supernatants without the need for isolation. The captured-EVs were detected either with Eu

Indexed as

AdultAntibodiesBiomarkersCell Line, TumorExtracellular VesiclesFemaleGlycoproteinsGlycosylationHumansImmunoassayLectinsMaleNanoparticlesProstatic NeoplasmsTetraspaninsUrineAntibodiesBiomarkersGlycoproteinsLectinsTetraspanins

Identifiers

PMID31296879
PMCPMC6624270
OpenAlexW2959330358

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.